#Advanced Information Scraping Methods

[amrin25]

How Chrome Extensions Can Scrape Hidden Information From Network Requests By Overriding XMLHttpRequest

Chrome extensions offer a versatile way to enhance browsing experiences by adding extra functionality to the Chrome browser. They serve various purposes, like augmenting product pages with additional information on e-commerce sites, scraping data from social media platforms such as LinkedIn or Twitter for analysis or future use, and even facilitating content scraping services for retrieving specific data from websites.

Scraping data from web pages typically involves injecting a content script to parse HTML or traverse the DOM tree using CSS selectors and XPaths. However, modern web applications built with frameworks like React or Vue pose challenges to this traditional scraping method due to their reactive nature.

When visiting a tweet on Twitter, essential details like author information, likes, retweets, and replies aren't readily available in the DOM. However, by inspecting the network tab, one can find API calls containing this hidden data, inaccessible through traditional DOM scraping. It's indeed possible to scrape this information from API calls, bypassing the limitations posed by the DOM.

A secondary method for scraping data involves intercepting API calls by overriding XMLHttpRequest. This entails replacing the native definition of XMLHttpRequest with a modified version via a content script injection. By doing so, developers gain the ability to monitor events within their modified XMLHttpRequest object while still maintaining the functionality of the original XMLHttpRequest object, allowing for seamless traffic monitoring without disrupting the user experience on third-party websites.

Step-by-Step Guide to Overriding XMLHttpRequest

Create a Script.js

This is an immediately invoked function expression (IIFE). It creates a private scope for the code inside, preventing variables from polluting the global scope.

XHR Prototype Modification: These lines save references to the original send and open methods of the XMLHttpRequest prototype.

Override Open Method: This code overrides the open method of XMLHttpRequest. When we create an XMLHttpRequest, this modification stores the request URL in the URL property of the XHR object.

Override Send Method: This code overrides the send method of XMLHttpRequest. It adds an event listener for the 'load' event. If the URL contains the specified string ("UserByScreenName"), it executes code to handle the response. After that, it calls the original send method.

Handling the Response: If the URL includes "UserByScreenName," it creates a new div element, sets its innerText to the intercepted response, and appends it to the document body.

Let's explore how we can override XMLHttpRequest!

Creating a Script Element: This code creates a new script element, sets its type to "text/javascript," specifies the source URL using Chrome.runtime.getURL("script.js"), and then appends it to the head of the document since it is a common way to inject a script into a web page.

Checking for DOM Elements: The checkForDOM function checks if the document's body and head elements are present. If they are, it calls the interceptData function. If not, it schedules another call to checkForDOM using requestIdleCallback to ensure the script waits until the necessary DOM elements are available.

Scraping Data from Profile: The scrapeDataProfile function looks for an element with the ID "__interceptedData." If found, it parses the JSON content of that element and logs it to the console as the API response. If not found, it schedules another call to scrapeDataProfile using requestIdleCallback.

Initiating the Process: These lines initiate the process by calling requestIdleCallback on checkForDOM and scrapeDataProfile. This ensures that the script begins by checking for the existence of the necessary DOM elements and then proceeds to scrape data when the "__interceptedData" element is available.

Pros

You can obtain substantial information from the server response and store details not in the user interface.

Cons

The server response may change after a certain period.

Here's a valuable tip

By simulating Twitter's internal API calls, you can retrieve additional information that wouldn't typically be displayed. For instance, you can access user details who liked tweets by invoking the API responsible for fetching this data, which is triggered when viewing the list of users who liked a tweet. However, it's important to keep these API calls straightforward, as overly frequent or unusual calls may trigger bot protection measures. This caution is crucial, as platforms like LinkedIn often use such strategies to detect scrapers, potentially leading to account restrictions or bans.

Conclusion

To conclude the entire situation, one must grasp the specific use case. Sometimes, extracting data from the user interface can be challenging due to its scattered placement. Therefore, opting to listen to API calls and retrieve data in a unified manner is more straightforward, especially for a browser extension development company aiming to streamline data extraction processes. Many websites utilize APIs to fetch collections of entities from the backend, subsequently binding them to the UI; this is precisely why intercepting API calls becomes essential.

[thesolaireslawyer]

Chamomile Daisies

{TW: Curs1ing, Lasko's rants- um.. candle wax.. uh- Lasko gets called airhead like quite a few times honestly- he also gets called airboi huxley and Damien being too cute- ( voice mails ) A tiny bit of yelling (the word murdered) Guy, an unhealthy amount of knowledge about pizza I'm not kidding... and finally I'm not a great writer.. but I'm trying and learning lmfao- Gavin doing freelancers voice mail(do what you want with that information )- I threw in some guy and honey- the blue is Lasko's rambles }

this got very long for some reason

WC: 2022

This is one of the dumbest things you could think of Lasko. And I mean dumb- like it isn’t even scientifically proven to help you with your rambling.. Well, you can’t say that because every person is different... So what affects you could also not affect the rest of the population.. And empowered and unempowered are different entirely so could DNA have anything to do with it? And I'm doing it again..all fuck it I’ll get to 2 of them. 

  Lasko makes his way over to the cashier, maybe this could work. God, he’d hoped it’d work. The first date was already fucked up..he didn’t want to mess up the second one. He pays and walks out of the store. His place was right around the corner.. Maybe the candles weren’t necessary... But Lasko wanted to make sure nothing went wrong this time. 

               Just thinking about what happened at Max’s made him drop his keys. Damnnit bending down to pick them up. He groaned at the thought of a repeat because of anxiety.. Lasko pushed the thought aside and placed the candles on the tabletop. Where did he put his clothes for the night? The airhead sighed and walked into his room. Going through the mess on the floor. Was that it? No, that’s not dark enough to cover stains.. That's not it.. No.. no.. no..no.. YES, that's it!  Lasko smiled as he pulled up a light turquoise heavy shirt! Unbuttoning his grey work shirt, with the same small smile on his face.. Maybe with the help of these candles, he could stop being so nervous and have a nice date with his dear.

Wait what would be the most effective way to burn the candles? Maybe he could melt them down in a pan well.. Rather a heatproof container… let's be real here he’s not gonna wanna clean that... Like you, how annoying would it be? Scraping the sides.. just sounds like too much work. It could stop with burning you know? Perhaps.. What would be the other method.. I could try a microwave.. Of course, I’d have to cut them in half… they're pretty long candles after all… I was thinking to myself.. Did I ever think about what scent I bought..? What if it smells bad?? Dear god, what am I gonna do fuck.. shit .. mother fuc-.. 

Lasko began buttoning his shirt over his white t-shirt. He walked out of his room, walking to the dryer. Now that he was actually in the kitchen and laundry room. He could try on his pants or well put them on he already knew they could fit. Now that he was dressed ( a few hours in advance ). He grabbed a pan, and a heat-proof container (a small one), and he finally opened the bag and looked at the candle. 

Chamomile Daisies that seem like a nice smell.

Didn’t dear say how much they loved the smell of flowers? Or was it the morning dew smell on the flowers? Was that just a them thing or it is because they a water elemental? I mean they never really said anything about liking flowers.. Did I miss something? Wait have they ever dropped any information about liking flowers..? Should I get some flowers? Just in case.. Maybe I should text them.. ? NO surprises are better.. Right? Actually no. The last time I did that I was completely soaked in water… alright.. Pants on.. Stove on..now.. Should I put some Oil in there? No.. I don’t want to clean the pot more than I already have to. 

As the airhead watched and waited for the candles to melt. His phone rang. It was dear.. Why were they calling? What was going on..? WERE THEY CALLING TO STAY THEY CANCELED?  No silly Lasko. LASKO PICK UP THE PHONE DAMMIT! Right. Right, answer the phone! 

‘’ Hey Dearie! I was just checking up on you! ‘’

D-d-dearie?! That’s new!? 

‘’ H..Hey Dear-r! I'm doing fine! ‘’ 

‘’That's great to hear! I can’t wait to see you, I just wanted to make sure you’re not overworrying… you’re not right? ‘’ Dear asked waiting to hear his response 

‘’ y..y-y-..yea! I'm o-..okay! N-..not worry-ying! A-at all! ‘’ his voice was a dead giveaway. Dear sighed on the other end of the phone. ‘’

'' Dearie..no..Lasko please don’t worry yourself too much.. Alright?’’ 

‘’ right.. I..-I’ll try..my dearest..’’ Lasko looked at the boiling pot on the stove.. The wax was red with light blue accents.

‘’ Lasko? You there?.. Lasko…?? LASKO!! ‘’

Dear’s yell caught poor Lasko off guard. He dropped his phone and in that moment our dearest Lasko forgot that he was an air elemental or at least for the right objects. See he used his magic to catch his phone just before it hit the stove? Wait, where was the candle wax? As Lasko looked up. Dear still on the phone trying to get his attention he saw the pot of wax fly in the air. And practically in slow motion watched it fall landing on the counter, wall, and the floor it also landed on his shirt…His shirt!?. Wait.. his.. His.. his what..HIS FUCKING SHIRT! SHIT..SHIT..SHIT.. THAT’S NOT GOOD

‘’ HEY DEAR I..-ILL C-..C-CALL YOU B-BACK! ‘’ as much as the poor airhead wanted to answer his Dear’s questions. He hit the red button faster than normal. 

Good job Lasko.. Now Dear is more than likely upset with me. And now I have to deal with all this wax. I knew I shouldn't have brought those damn candles! But No.. Lasko wanted to be calm..But NOOO Lasko wanted to do this and that!.. Goddamnit.. I’m like this because I wanted our second date to be better than the first one.. Fuck.. maybe…perhaps freelancer.. Would have any idea of removing wax..from he looks around everything.. 

~~~~~~~~~~~

I'm.. Afraid my deviant..~ can’t make it to the phone right now~~ They’re busy at the moment.~~ But please.. Leave a message..~ make it worthwhile..~~ 

‘’ hey Freelancer.. When you get the chance.. Could you um.. Call me back.. i .. m-..may or m-..m-may not have gotten.. W-wax on my c-clothes.. ..f-f..or my date.. Please ca-call back! ‘’ 

~~~~~~~~~~~

Sorry Dames! Huxley Just record the voicemail, please!.. Right, right! Sorry Dames and I can’t come to the phone- Leave a message and Dames and will get back to you! HUXLEY IT'S YOUR PHONE!! An-  

‘’ Hey Huxley.. Um- whenever you g-g…get the chance.. Could you um.. Call me back..I need some help..I may have or hav..have n-..not gotten wax.. everywhere..? ‘’ 

~~~~~~~~~~

It’s Daimen. I'm afraid I can’t answer the phone.. Leave a message.. Not a long one.

‘’ o-oh.. Straightforward.. U-uh… um. I- I need some h-help with a.. Waxy situation.. ‘’ 

~~~~~~~~

Well as another hour passed, no one seemed to get back with him, well Damien sent him a text about wondering what he meant by straightforward. Lasko tried to explain it.. But Damien didn’t understand how it happened.. But tried his best, to help.. Thanks to his help he got the dried wax off. But the shirt itself was stained.. The red on the shirt made him wanna cry. Red is already a hard color to get out of clothes, and his shirt being blue did not help.. Honestly, it looked like he murdered someone- not the point! He frowned and picked up his phone again. Dialed a number and sighed..it rang once.. Then twice and then eventually someone picked up. 

‘’ Lasko what happened earlier!? You hung up so fast..I thought I did something- ‘’  Dear sounded sorrowful and it hurt Lasko a little. ‘’ No dear, you do anything.. I.. may..have messed something up.. ‘’ that last part left the Airbois mouth almost inaudibly.

‘’ messed what up Lasko? ‘’ it was dear’s turn to be concerned

‘’ Well..I wanted today’s date to go smoothly and not a repeat of what happened at Max’s..’’ dear cringed at the thought.

‘’ yes..what happened..? ‘’ 

‘’ a-and.. we..ll I heard- ab-about.. the-these..ca-calming c-candles..an..d ki-kinda.. Spilled.. The w-wax.. Ev-everywhere.. in-.. Including the-..the shirt.. F-for t-tonight..’’ Lasko managed to stutter out. 

‘’ Lasko.. Dear.. y-you did…wh-at..? ‘’ dear said holding in snickering

‘’ Are you laughing right now!? ‘’ Lasko seemed more shocked than surprised. 

‘’ AHAHAHAAHAAHAHAAHAHA Lasko im sorry! I-..Just.. I ‘’ Dear could barely hold in their laughs. And Lasko entirely lost his nerve and decided to join in the laughing. 

‘’Lasko.. Listen I’ll cancel the plans and you can just come over here.. ‘’ Dear says small giggles in their sentence. 

‘’ Dear! I couldn’t just, didn’t that.. Like I already messed up the first date and now I'm ruining another one! And I just don’t think it’s fair.. That you have to cancel our plans- ‘’ Lasko attempted to ramble on but dear interrupted him. 

‘’ Lasko Dearie.. I love.. That you don't want to quote on quote to ruin another date.. But I just want to spend my time with you.. So come over and bring the shirt.. ‘’ though Lasko couldn’t see his dear’s face he knew they were smiling.. And smiling hard. 

‘’ fine.. I’ll be over in a few ‘’ Lasko responded.. Giving in. Perhaps this is better than embarrassing himself at another restaurant.  

~~~~~~~~~~~~~~~~~~~

And I know I feel so bad because I ruined our first and now the second date! I just don’t know how I let this happen. Dear, I feel so bad.. Like really bad.. Maybe I shouldn’t have come over.. Look Dear, I'll just put the shirt in the wash and I..i- Lakso stops mid-sentence losing his train of thought.. His dear looked so nice.. They always looked nice whether it was nice clothes or just a plain T-shirt and shorts. Like what they were wearing now, maybe this wouldn’t be so bad. 

‘’ well, Dearie! Your shirt is in the wash! I used a little magic to make sure the bleach didn’t ruin the whole shirt. ‘’ his dear smiled pulling out their phone. 

Lasko rubs the back of his neck, chucking ‘’ well I could leave once it's washed.. ‘’ Dear glared back at Lasko.. Scarying the power airboi- ‘’ w..w-w.well..i-i..cou-could..j–just s-stay! ‘’ Lasko stuttered out.

‘’ well good! I'm ordering some pizza for the night.. Lasko was a little nervous, but for once his poker face held. Theirs no way it could be the same waiter from before right?

~~~~~~

‘’ hey the pizzas here! Do you wanna go get it? ''Dear looked at Lasko with puppy dog eyes. As if begging him to get the pizza. Lasko wondered who taught them that as he went to open the door. 

{ Lasko is about ramble about the preparation of pizza feel free to skip- }

It. Was. The. Same. Guy.         

  Fuck

‘’ um.. Order for a D- oh.. It’s you- ‘’ guy started with a faint laugh

‘’ Y-Yea.. Haha me woo! ‘’ Lasko was losing him as he grabbed the box of pizzas. 

Did you know pizza could be sold fresh? HAh.. it’s a really funny process actually.. You can even get it whole or portion slices. Though the methods vary. That and have been developed to overcome challenges! Like preventing the sauce from combining with the dough! Because who the hell wants soggy pizza am I right?? HAhah, dealing with eh crust is another hard thing to deal with! Like the methods had to change often because the crust… could become rigid and who wants that? Not me and I'm sure not you! H-h-ha that’s even if you like pizza- l-..like a lot of people who work at their job d-d..-don’t like what they do..l-l-l..like there are a lot of things i..-I don’t like about my job but..but it’s a job you-..you know.. Haha?  

Dear taking notice of the situation.. Giggling a little and going to interrupt Lasko and the pizza guy. 

‘’Lasko go put the pizza on the counter please. ‘’ lasko sighed in relief before disappearing into the other room. 

‘’ sorry bout that- here take this for your troubles..’’

~~~~~~~~~~~~~~~~

‘’ HONEY GUESS WHAT I GOT TODAY!!!! ‘’ Honey turned around to greet their very happy lover tonight.. ‘’ Yes Guy ‘’ 

‘’ I GOT A 150$ DOLLAR TIP ‘’ honey nearly spit out their drink

(@laskosprettygirl this is the Fic.. I hope it was worth the wait- )

once again my Adhd brain made this take harder than it needed to- I hope this lives up to expectations! and have a good day or night!

[jbfly46]

Your All-in-One AI Web Agent: Save $200+ a Month, Unleash Limitless Possibilities!

Imagine having an AI agent that costs you nothing monthly, runs directly on your computer, and is unrestricted in its capabilities. OpenAI Operator charges up to $200/month for limited API calls and restricts access to many tasks like visiting thousands of websites. With DeepSeek-R1 and Browser-Use, you:

• Save money while keeping everything local and private.

• Automate visiting 100,000+ websites, gathering data, filling forms, and navigating like a human.

• Gain total freedom to explore, scrape, and interact with the web like never before.

You may have heard about Operator from Open AI that runs on their computer in some cloud with you passing on private information to their AI to so anything useful. AND you pay for the gift . It is not paranoid to not want you passwords and logins and personal details to be shared. OpenAI of course charges a substantial amount of money for something that will limit exactly what sites you can visit, like YouTube for example. With this method you will start telling an AI exactly what you want it to do, in plain language, and watching it navigate the web, gather information, and make decisions—all without writing a single line of code.

In this guide, we’ll show you how to build an AI agent that performs tasks like scraping news, analyzing social media mentions, and making predictions using DeepSeek-R1 and Browser-Use, but instead of writing a Python script, you’ll interact with the AI directly using prompts.

These instructions are in constant revisions as DeepSeek R1 is days old. Browser Use has been a standard for quite a while. This method can be for people who are new to AI and programming. It may seem technical at first, but by the end of this guide, you’ll feel confident using your AI agent to perform a variety of tasks, all by talking to it. how, if you look at these instructions and it seems to overwhelming, wait, we will have a single download app soon. It is in testing now.

This is version 3.0 of these instructions January 26th, 2025.

This guide will walk you through setting up DeepSeek-R1 8B (4-bit) and Browser-Use Web UI, ensuring even the most novice users succeed.

What You’ll Achieve

By following this guide, you’ll:

1. Set up DeepSeek-R1, a reasoning AI that works privately on your computer.

2. Configure Browser-Use Web UI, a tool to automate web scraping, form-filling, and real-time interaction.

3. Create an AI agent capable of finding stock news, gathering Reddit mentions, and predicting stock trends—all while operating without cloud restrictions.

A Deep Dive At ReadMultiplex.com Soon

We will have a deep dive into how you can use this platform for very advanced AI use cases that few have thought of let alone seen before. Join us at ReadMultiplex.com and become a member that not only sees the future earlier but also with particle and pragmatic ways to profit from the future.

System Requirements

Hardware

• RAM: 8 GB minimum (16 GB recommended).

• Processor: Quad-core (Intel i5/AMD Ryzen 5 or higher).

• Storage: 5 GB free space.

• Graphics: GPU optional for faster processing.

Software

• Operating System: macOS, Windows 10+, or Linux.

• Python: Version 3.8 or higher.

• Git: Installed.

Step 1: Get Your Tools Ready

We’ll need Python, Git, and a terminal/command prompt to proceed. Follow these instructions carefully.

Install Python

1. Check Python Installation:

• Open your terminal/command prompt and type:

python3 --version

• If Python is installed, you’ll see a version like:

Python 3.9.7

2. If Python Is Not Installed:

• Download Python from python.org.

• During installation, ensure you check “Add Python to PATH” on Windows.

3. Verify Installation:

python3 --version

Install Git

1. Check Git Installation:

• Run:

git --version

• If installed, you’ll see:

git version 2.34.1

2. If Git Is Not Installed:

• Windows: Download Git from git-scm.com and follow the instructions.

• Mac/Linux: Install via terminal:

sudo apt install git -y # For Ubuntu/Debian

brew install git # For macOS

Step 2: Download and Build llama.cpp

We’ll use llama.cpp to run the DeepSeek-R1 model locally.

1. Open your terminal/command prompt.

2. Navigate to a clear location for your project files:

mkdir ~/AI_Project

cd ~/AI_Project

3. Clone the llama.cpp repository:

git clone https://github.com/ggerganov/llama.cpp.git

cd llama.cpp

4. Build the project:

• Mac/Linux:

make

• Windows:

• Install a C++ compiler (e.g., MSVC or MinGW).

• Run:

mkdir build

cd build

cmake ..

cmake --build . --config Release

Step 3: Download DeepSeek-R1 8B 4-bit Model

1. Visit the DeepSeek-R1 8B Model Page on Hugging Face.

2. Download the 4-bit quantized model file:

• Example: DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf.

3. Move the model to your llama.cpp folder:

mv ~/Downloads/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf ~/AI_Project/llama.cpp

Step 4: Start DeepSeek-R1

1. Navigate to your llama.cpp folder:

cd ~/AI_Project/llama.cpp

2. Run the model with a sample prompt:

./main -m DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf -p "What is the capital of France?"

3. Expected Output:

The capital of France is Paris.

Step 5: Set Up Browser-Use Web UI

1. Go back to your project folder:

cd ~/AI_Project

2. Clone the Browser-Use repository:

git clone https://github.com/browser-use/browser-use.git

cd browser-use

3. Create a virtual environment:

python3 -m venv env

4. Activate the virtual environment:

• Mac/Linux:

source env/bin/activate

• Windows:

env\Scripts\activate

5. Install dependencies:

pip install -r requirements.txt

6. Start the Web UI:

python examples/gradio_demo.py

7. Open the local URL in your browser:

http://127.0.0.1:7860

Step 6: Configure the Web UI for DeepSeek-R1

1. Go to the Settings panel in the Web UI.

2. Specify the DeepSeek model path:

~/AI_Project/llama.cpp/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf

3. Adjust Timeout Settings:

• Increase the timeout to 120 seconds for larger models.

4. Enable Memory-Saving Mode if your system has less than 16 GB of RAM.

Step 7: Run an Example Task

Let’s create an agent that:

1. Searches for Tesla stock news.

2. Gathers Reddit mentions.

3. Predicts the stock trend.

Example Prompt:

Search for "Tesla stock news" on Google News and summarize the top 3 headlines. Then, check Reddit for the latest mentions of "Tesla stock" and predict whether the stock will rise based on the news and discussions.

--

Congratulations! You’ve built a powerful, private AI agent capable of automating the web and reasoning in real time. Unlike costly, restricted tools like OpenAI Operator, you’ve spent nothing beyond your time. Unleash your AI agent on tasks that were once impossible and imagine the possibilities for personal projects, research, and business. You’re not limited anymore. You own the web—your AI agent just unlocked it! 🚀

Stay tuned fora FREE simple to use single app that will do this all and more.

[kanguin]

Hi, idk who's going to see this post or whatnot, but I had a lot of thoughts on a post I reblogged about AI that started to veer off the specific topic of the post, so I wanted to make my own.

Some background on me: I studied Psychology and Computer Science in college several years ago, with an interdisciplinary minor called Cognitive Science that joined the two with philosophy, linguistics, and multiple other fields. The core concept was to study human thinking and learning and its similarities to computer logic, and thus the courses I took touched frequently on learning algorithms, or "AI". This was of course before it became the successor to bitcoin as the next energy hungry grift, to be clear. Since then I've kept up on the topic, and coincidentally, my partner has gone into freelance data model training and correction. So while I'm not an expert, I have a LOT of thoughts on the current issue of AI.

I'll start off by saying that AI isn't a brand new technology, it, more properly known as learning algorithms, has been around in the linguistics, stats, biotech, and computer science worlds for over a decade or two. However, pre-ChatGPT learning algorithms were ground-up designed tools specialized for individual purposes, trained on a very specific data set, to make it as accurate to one thing as possible. Some time ago, data scientists found out that if you have a large enough data set on one specific kind of information, you can get a learning algorithm to become REALLY good at that one thing by giving it lots of feedback on right vs wrong answers. Right and wrong answers are nearly binary, which is exactly how computers are coded, so by implementing the psychological method of operant conditioning, reward and punishment, you can teach a program how to identify and replicate things with incredible accuracy. That's what makes it a good tool.

And a good tool it was and still is. Reverse image search? Learning algorithm based. Complex relationship analysis between words used in the study of language? Often uses learning algorithms to model relationships. Simulations of extinct animal movements and behaviors? Learning algorithms trained on anatomy and physics. So many features of modern technology and science either implement learning algorithms directly into the function or utilize information obtained with the help of complex computer algorithms.

But a tool in the hand of a craftsman can be a weapon in the hand of a murderer. Facial recognition software, drone targeting systems, multiple features of advanced surveillance tech in the world are learning algorithm trained. And even outside of authoritarian violence, learning algorithms in the hands of get-rich-quick minded Silicon Valley tech bro business majors can be used extremely unethically. All AI art programs that exist right now are trained from illegally sourced art scraped from the web, and ChatGPT (and similar derived models) is trained on millions of unconsenting authors' works, be they professional, academic, or personal writing. To people in countries targeted by the US War Machine and artists the world over, these unethical uses of this technology are a major threat.

Further, it's well known now that AI art and especially ChatGPT are MAJOR power-hogs. This, however, is not inherent to learning algorithms / AI, but is rather a product of the size, runtime, and inefficiency of these models. While I don't know much about the efficiency issues of AI "art" programs, as I haven't used any since the days of "imaginary horses" trended and the software was contained to a university server room with a limited training set, I do know that ChatGPT is internally bloated to all hell. Remember what I said about specialization earlier? ChatGPT throws that out the window. Because they want to market ChatGPT as being able to do anything, the people running the model just cram it with as much as they can get their hands on, and yes, much of that is just scraped from the web without the knowledge or consent of those who have published it. So rather than being really good at one thing, the owners of ChatGPT want it to be infinitely good, infinitely knowledgeable, and infinitely running. So the algorithm is never shut off, it's constantly taking inputs and processing outputs with a neural network of unnecessary size.

Now this part is probably going to be controversial, but I genuinely do not care if you use ChatGPT, in specific use cases. I'll get to why in a moment, but first let me clarify what use cases. It is never ethical to use ChatGPT to write papers or published fiction (be it for profit or not); this is why I also fullstop oppose the use of publicly available gen AI in making "art". I say publicly available because, going back to my statement on specific models made for single project use, lighting, shading, and special effects in many 3D animated productions use specially trained learning algorithms to achieve the complex results seen in the finished production. Famously, the Spider-verse films use a specially trained in-house AI to replicate the exact look of comic book shading, using ethically sources examples to build a training set from the ground up, the unfortunately-now-old-fashioned way. The issue with gen AI in written and visual art is that the publicly available, always online algorithms are unethically designed and unethically run, because the decision makers behind them are not restricted enough by laws in place.

So that actually leads into why I don't give a shit if you use ChatGPT if you're not using it as a plagiarism machine. Fact of the matter is, there is no way ChatGPT is going to crumble until legislation comes into effect that illegalizes and cracks down on its practices. The public, free userbase worldwide is such a drop in the bucket of its serverload compared to the real way ChatGPT stays afloat: licensing its models to businesses with monthly subscriptions. I mean this sincerely, based on what little I can find about ChatGPT's corporate subscription model, THAT is the actual lifeline keeping it running the way it is. Individual visitor traffic worldwide could suddenly stop overnight and wouldn't affect ChatGPT's bottom line. So I don't care if you, I, or anyone else uses the website because until the US or EU governments act to explicitly ban ChatGPT and other gen AI business' shady practices, they are all only going to continue to stick around profit from big business contracts. So long as you do not give them money or sing their praises, you aren't doing any actual harm.

If you do insist on using ChatGPT after everything I've said, here's some advice I've gathered from testing the algorithm to avoid misinformation:

If you feel you must use it as a sounding board for figuring out personal mental or physical health problems like I've seen some people doing when they can't afford actual help, do not approach it conversationally in the first person. Speak in the third person as if you are talking about someone else entirely, and exclusively note factual information on observations, symptoms, and diagnoses. This is because where ChatGPT draws its information from depends on the style of writing provided. If you try to be as dry and clinical as possible, and request links to studies, you should get dry and clinical information in return. This approach also serves to divorce yourself mentally from the information discussed, making it less likely you'll latch onto anything. Speaking casually will likely target unprofessional sources.

Do not ask for citations, ask for links to relevant articles. ChatGPT is capable of generating links to actual websites in its database, but if asked to provide citations, it will replicate the structure of academic citations, and will very likely hallucinate at least one piece of information. It also does not help that these citations also will often be for papers not publicly available and will not include links.

ChatGPT is at its core a language association and logical analysis software, so naturally its best purposes are for analyzing written works for tone, summarizing information, and providing examples of programming. It's partially coded in python, so examples of Python and Java code I've tested come out 100% accurate. Complex Google Sheets formulas however are often finicky, as it often struggles with proper nesting orders of formulas.

Expanding off of that, if you think of the software as an input-output machine, you will get best results. Problems that do not have clear input information or clear solutions, such as open ended questions, will often net inconsistent and errant results.

Commands are better than questions when it comes to asking it to do something. If you think of it like programming, then it will respond like programming most of the time.

Most of all, do not engage it as a person. It's not a person, it's just an algorithm that is trained to mimic speech and is coded to respond in courteous, subservient responses. The less you try and get social interaction out of ChatGPT, the less likely it will be to just make shit up because it sounds right.

Anyway, TL;DR:

AI is just a tool and nothing more at its core. It is not synonymous with its worse uses, and is not going to disappear. Its worst offenders will not fold or change until legislation cracks down on it, and we, the majority users of the internet, are not its primary consumer. Use of AI to substitute art (written and visual) with blended up art of others is abhorrent, but use of a freely available algorithm for personal analyticsl use is relatively harmless so long as you aren't paying them.

We need to urge legislators the world over to crack down on the methods these companies are using to obtain their training data, but at the same time people need to understand that this technology IS useful and both can and has been used for good. I urge people to understand that learning algorithms are not one and the same with theft just because the biggest ones available to the public have widely used theft to cut corners. So long as computers continue to exist, algorithmic problem-solving and generative algorithms are going to continue to exist as they are the logical conclusion of increasingly complex computer systems. Let's just make sure the future of the technology is not defined by the way things are now.

[zillowscraper2]

Zillow Scraping Mastery: Advanced Techniques Revealed

In the ever-evolving landscape of data acquisition, Zillow stands tall as a treasure trove of valuable real estate information. From property prices to market trends, Zillow's extensive database holds a wealth of insights for investors, analysts, and researchers alike. However, accessing this data at scale requires more than just a basic understanding of web scraping techniques. It demands mastery of advanced methods tailored specifically for Zillow's unique structure and policies. In this comprehensive guide, we delve into the intricacies of Zillow scraping, unveiling advanced techniques to empower data enthusiasts in their quest for valuable insights.

Understanding the Zillow Scraper Landscape

Before diving into advanced techniques, it's crucial to grasp the landscape of zillow scraper. As a leading real estate marketplace, Zillow is equipped with robust anti-scraping measures to protect its data and ensure fair usage. These measures include rate limiting, CAPTCHA challenges, and dynamic page rendering, making traditional scraping approaches ineffective. To navigate this landscape successfully, aspiring scrapers must employ sophisticated strategies tailored to bypass these obstacles seamlessly.

Advanced Techniques Unveiled

User-Agent Rotation: One of the most effective ways to evade detection is by rotating User-Agent strings. Zillow's anti-scraping mechanisms often target commonly used User-Agent identifiers associated with popular scraping libraries. By rotating through a diverse pool of User-Agent strings mimicking legitimate browser traffic, scrapers can significantly reduce the risk of detection and maintain uninterrupted data access.

IP Rotation and Proxies: Zillow closely monitors IP addresses to identify and block suspicious scraping activities. To counter this, employing a robust proxy rotation system becomes indispensable. By routing requests through a pool of diverse IP addresses, scrapers can distribute traffic evenly and mitigate the risk of IP bans. Additionally, utilizing residential proxies offers the added advantage of mimicking genuine user behavior, further enhancing scraping stealth.

Session Persistence: Zillow employs session-based authentication to track user interactions and identify potential scrapers. Implementing session persistence techniques, such as maintaining persistent cookies and managing session tokens, allows scrapers to simulate continuous user engagement. By emulating authentic browsing patterns, scrapers can evade detection more effectively and ensure prolonged data access.

JavaScript Rendering: Zillow's dynamic web pages rely heavily on client-side JavaScript to render content dynamically. Traditional scraping approaches often fail to capture dynamically generated data, leading to incomplete or inaccurate results. Leveraging headless browser automation frameworks, such as Selenium or Puppeteer, enables scrapers to execute JavaScript code dynamically and extract fully rendered content accurately. This advanced technique ensures comprehensive data coverage across Zillow's dynamic pages, empowering scrapers with unparalleled insights.

Data Parsing and Extraction: Once data is retrieved from Zillow's servers, efficient parsing and extraction techniques are essential to transform raw HTML content into structured data formats. Utilizing robust parsing libraries, such as BeautifulSoup or Scrapy, facilitates seamless extraction of relevant information from complex web page structures. Advanced XPath or CSS selectors further streamline the extraction process, enabling scrapers to target specific elements with precision and extract valuable insights efficiently.

Ethical Considerations and Compliance

While advanced scraping techniques offer unparalleled access to valuable data, it's essential to uphold ethical standards and comply with Zillow's terms of service. Scrapers must exercise restraint and avoid overloading Zillow's servers with excessive requests, as this may disrupt service for genuine users and violate platform policies. Additionally, respecting robots.txt directives and adhering to rate limits demonstrates integrity and fosters a sustainable scraping ecosystem beneficial to all stakeholders.

Conclusion

In the realm of data acquisition, mastering advanced scraping techniques is paramount for unlocking the full potential of platforms like Zillow. By employing sophisticated strategies tailored to bypass anti-scraping measures seamlessly, data enthusiasts can harness the wealth of insights hidden within Zillow's vast repository of real estate data. However, it's imperative to approach scraping ethically and responsibly, ensuring compliance with platform policies and fostering a mutually beneficial scraping ecosystem. With these advanced techniques at their disposal, aspiring scrapers can embark on a journey of exploration and discovery, unraveling valuable insights to inform strategic decisions and drive innovation in the real estate industry.

[wafi-news2024]

AI-Powered Cyber Attacks: How Hackers Are Using Generative AI 

Introduction 

Artificial Intelligence (AI) has revolutionized industries, from healthcare to finance, but it has also opened new doors for cybercriminals. With the rise of generative AI tools like ChatGPT, Deepfake generators, and AI-driven malware, hackers are finding sophisticated ways to automate and enhance cyber attacks. This article explores how cybercriminals are leveraging AI to conduct more effective and evasive attacks—and what organizations can do to defend against them. 

How Hackers Are Using Generative AI

1. AI-Generated Phishing & Social Engineering Attacks

Phishing attacks have become far more convincing with generative AI. Attackers can now: 

Craft highly personalized phishing emails using AI to mimic writing styles of colleagues or executives (CEO fraud). 

Automate large-scale spear-phishing campaigns by scraping social media profiles to generate believable messages. 

Bypass traditional spam filters by using AI to refine language and avoid detection. 

Example: An AI-powered phishing email might impersonate a company’s IT department, using natural language generation (NLG) to sound authentic and urgent.

2. Deepfake Audio & Video for Fraud

Generative AI can create deepfake voice clones and videos to deceive victims. Cybercriminals use this for: 

CEO fraud: Fake audio calls instructing employees to transfer funds. 

Disinformation campaigns: Fabricated videos of public figures spreading false information. 

Identity theft: Mimicking voices to bypass voice authentication systems. 

Example: In 2023, a Hong Kong finance worker was tricked into transferring $25 million after a deepfake video call with a "colleague." 

3. AI-Powered Malware & Evasion Techniques

Hackers are using AI to develop polymorphic malware that constantly changes its code to evade detection. AI helps: 

Automate vulnerability scanning to find weaknesses in networks faster. 

Adapt malware behavior based on the target’s defenses. 

Generate zero-day exploits by analyzing code for undiscovered flaws. 

Example: AI-driven ransomware can now decide which files to encrypt based on perceived value, maximizing extortion payouts. 

4. Automated Password Cracking & Credential Stuffing 

AI accelerates brute-force attacks by: 

Predicting password patterns based on leaked databases. 

Generating likely password combinations using machine learning. 

Bypassing CAPTCHAs with AI-powered solving tools. 

Example: Tools like PassGAN use generative adversarial networks (GANs) to guess passwords more efficiently than traditional methods. 

5. AI-Assisted Social Media Manipulation 

Cybercriminals use AI bots to: 

Spread disinformation at scale by generating fake posts and comments. 

Impersonate real users to conduct scams or influence public opinion. 

Automate fake customer support accounts to steal credentials. 

Example:AI-generated Twitter (X) bots have been used to spread cryptocurrency scams, impersonating Elon Musk and other influencers. 

How to Defend Against AI-Powered Cyber Attacks 

As AI threats evolve, organizations must adopt AI-driven cybersecurity to fight back. Key strategies include: 

AI-Powered Threat Detection – Use machine learning to detect anomalies in network behavior. 

Multi-Factor Authentication (MFA) – Prevent AI-assisted credential stuffing with biometrics or hardware keys. 

Employee Training – Teach staff to recognize AI-generated phishing and deepfakes. 

Zero Trust Security Model – Verify every access request, even from "trusted" sources. 

Deepfake Detection Tools – Deploy AI-based solutions to spot manipulated media. 

Conclusion  Generative AI is a double-edged sword—while it brings innovation, it also empowers cybercriminals with unprecedented attack capabilities. Organizations must stay ahead by integrating AI-driven defenses, improving employee awareness, and adopting advanced authentication methods. The future of cybersecurity will be a constant AI vs. AI battle, where only the most adaptive defenses will prevail.

Source Link:https://medium.com/@wafinews/title-ai-powered-cyber-attacks-how-hackers-are-using-generative-ai-516d97d4455e

[crownsoft]

A Complete Guide to Facebook Auto Group Scraping Software

Recently, many marketing professionals have started recommending Facebook Auto Capture Groups software. What is it that has caused this surge in interest? Let's take a closer look at this tool and explore why it has become a hot topic in the marketing industry.

What is Facebook Auto Capture Groups?

As the name suggests, Facebook Auto Capture Groups is a marketing tool designed to help you identify and capture potential customers on Facebook by using various automated methods. This tool has been widely hailed as a new form of customer acquisition that can significantly boost productivity and marketing efficiency. However, with its growing popularity, competition has also increased. Some people might recommend this software simply because it's part of their marketing strategy, but let's dive into what makes it so useful.

Why is Facebook Auto Capture Groups So Popular?

Our team at Crownsoft Marketing Assistant tested several popular recommendations for Facebook group marketing tools and found that most were lacking in some aspects. That's when we decided to develop our own version—Facebook Auto Capture Group software. This software stands out due to its advanced features:

Automated Group Collection: It helps you automatically collect Facebook groups based on keywords, allowing you to easily join and interact with groups related to your marketing niche.

Efficient Data Collection: With one click, you can collect detailed member information from the groups, which is invaluable for targeted marketing.

Export Functionality: The software supports data export in various formats, making it easier to analyze and use the information for further marketing efforts.

Multi-Channel Data Collection: Beyond groups, this software also collects information from live streaming rooms, celebrity fan pages, and comment sections, giving you a comprehensive database of potential leads.

Automated Actions: In addition to information collection, the software allows automated actions like posting and liking, helping to further engage with users and improve marketing outreach.

Why Choose CrownSoft Marketing Assistant's Facebook Auto Capture Group Software?

CrownSoft Marketing Assistant's Facebook Auto Capture Group software is one step ahead of the competition. It covers nearly all methods of information collection on the market, providing a comprehensive solution for marketers looking to expand their reach and improve customer acquisition efforts on Facebook.

[windowsclick]

What Tools Find Amazon Seller Phone Numbers?

If you're trying to reach Amazon sellers — whether for business partnerships, marketing, or lead generation — you might be wondering: How can I find their phone numbers?

Finding contact information for Amazon sellers isn’t always straightforward. Many sellers protect their personal details for privacy reasons. However, some tools can help you locate phone numbers, email addresses, and other useful information to connect with them directly.

In this article, we’ll break down what tools can help you find Amazon seller phone numbers, how they work, and what you should know before reaching out.

Let’s dive in.

Why Find Amazon Seller Phone Numbers?

Before we get into the tools, let’s quickly cover why someone might want this information.

Lead generation: If you offer services like software, logistics, advertising, or consulting, Amazon sellers can be valuable clients.

Product sourcing: Suppliers and manufacturers might want to pitch products to growing sellers.

Partnership opportunities: Companies offering joint ventures, affiliate programs, or cross-promotions may want to reach Amazon businesses.

Recruiting: Some firms look for successful Amazon sellers to join teams or partner on bigger projects.

Whatever the reason, having direct contact information — like a phone number — helps you move faster than just sending an email or messaging through Amazon's system.

Is It Legal to Find and Use Amazon Seller Contact Information?

Good question. Yes, it is generally legal to collect publicly available contact details. However, how you use that information matters.

Always follow these rules:

Don't spam. Make sure your outreach is relevant and respectful.

Follow GDPR and other privacy regulations if you're contacting sellers in Europe or regulated regions.

Offer value first — avoid being pushy or salesy.

Respecting privacy and providing clear value is the best way to build real connections with sellers.

Top Tools to Find Amazon Seller Phone Numbers

Now, let’s talk about the tools you can actually use.

1. SellerContacts

SellerContacts is one of the most powerful tools for finding Amazon seller information — including phone numbers.

What it offers:

Access to over 200,000+ verified Amazon sellers.

Detailed seller profiles with phone numbers, emails, websites, social links, and more.

Advanced filtering by product category, sales volume, location, and more.

Regular updates to keep data fresh and accurate.

Why use SellerContacts? If you’re serious about reaching Amazon sellers directly, this platform gives you everything you need in one place. Instead of scraping manually or using unreliable databases, you get verified data ready to use.

🔗 Check out SellerContacts here

2. JungleScout (Supplier Database)

While JungleScout is mostly known for product research, its Supplier Database can help you find manufacturers and sellers — and sometimes leads to contact info.

What it offers:

Look up top Amazon sellers by product type.

Find manufacturers and sellers connected to specific ASINs.

Some listings include business phone numbers or company contact details.

Why it helps: It’s not as direct as SellerContacts, but if you're looking for bigger Amazon businesses (especially brands), you might find a phone number attached to the company.

3. Apollo.io

Apollo.io is a B2B contact database that focuses on professionals across all industries — including e-commerce.

What it offers:

A massive database of business emails, phone numbers, and LinkedIn profiles.

Advanced filters to search by industry (like "E-commerce" or "Amazon sellers").

Why use it: While not Amazon-specific, you can still find seller owners, brand managers, or executives involved in Amazon businesses. Great for reaching larger sellers or agencies managing multiple brands.

4. LinkedIn + Hunter.io

Sometimes the best method is a combination.

LinkedIn helps you find Amazon sellers, brand owners, and FBA entrepreneurs.

Hunter.io allows you to find associated emails and sometimes business phone numbers linked to a domain.

How it works:

Search on LinkedIn using terms like "Amazon FBA seller" or "Private label brand owner."

Find their website (often listed in their LinkedIn profile).

Use Hunter.io to extract available contact information from that domain.

Why use this method: It’s a bit manual but often results in higher quality connections — especially for medium to large sellers.

5. ZoomInfo

ZoomInfo is a premium business contact database.

What it offers:

Verified business phone numbers, emails, and company data.

Search by business size, industry, revenue, and more.

Is it good for Amazon sellers? Yes, if you’re targeting larger Amazon businesses, especially those that run private label brands or operate as full companies.

However, it’s pricey — best for serious users with bigger budgets.

Bonus Tip: Scraping Tools (Use Carefully)

There are browser extensions and software that can scrape public Amazon listings and pull whatever contact info is available.

Examples:

DataScraper Chrome Extension

Octoparse (for structured data scraping)

⚠️ Warning:

Most Amazon sellers don’t list their phone numbers publicly on Amazon.

Amazon’s Terms of Service forbid scraping user data, so you could risk account issues if you're not careful.

That's why using legitimate databases like SellerContacts is usually a safer and smarter path.

Things to Keep in Mind Before Reaching Out

Once you find seller phone numbers, what’s next?

Here are a few quick tips:

Be respectful: Sellers are busy running businesses. Get to the point quickly.

Personalize your outreach: Mention their product category, brand name, or something specific.

Offer value: Show them how your product, service, or opportunity can make their life easier or more profitable.

Don’t over-call: One well-placed call or voicemail is better than 10 missed calls.

Always aim to build relationships, not just make sales.

Final Thoughts

Finding Amazon seller phone numbers used to be difficult — but today, with the right tools, it’s easier than ever. Whether you're using SellerContacts, Apollo.io, LinkedIn plus Hunter.io, or other methods, the key is to reach out thoughtfully and offer real value.

Sellers are entrepreneurs just like you. Treat them with respect, and you might build lasting, profitable partnerships.

[productdata]

Tools to Scrape Amazon Product Offers and Sellers Data

Introduction

Scraping Amazon product offers and seller information can provide valuable insights for businesses, developers, and researchers. Whether you're analyzing competitor pricing, monitoring market trends, or building a price comparison tool, Scrape Amazon Product Offers and Sellers Data is crucial for staying competitive. This guide will walk you through code-based and no-code methods for extracting Amazon data, making it suitable for beginners and experienced developers. We'll cover the best tools, techniques, and practices to ensure practical and ethical data extraction. One key aspect is learning how to Extract Amazon Seller Prices Data accurately, allowing you to track and analyze pricing trends across various sellers. Additionally, we will delve into how to Scrape Amazon Seller Information, ensuring that all data is collected efficiently while staying within legal boundaries. By following the right approaches, you can access valuable data insights without facing potential legal or technical challenges, ensuring long-term success in your data-driven projects.

Why Scrape Amazon Product Offers and Sellers?

Amazon is a treasure trove of e-commerce data. Scraping product offers and seller information, Amazon is a goldmine of e-commerce data, offering valuable insights for businesses looking to gain a competitive edge. By Scraping Amazon Seller Listings Data, you can collect crucial information that helps in several areas:

Monitor pricing trends: Track the price changes for specific products or categories over time. This allows you to understand market dynamics and adjust your pricing strategy accordingly.

Analyze seller performance: Evaluate key metrics such as seller ratings, shipping options, and inventory availability. This data can help you understand how top-performing sellers operate and what factors contribute to their success.

Competitor analysis: Scrape Amazon Offer Listings with Selenium Data to compare your offerings against your competitors. You can identify pricing gaps, product availability, and more, which helps refine your market positioning.

Market research: By examining Amazon Seller Scraping API Integration data, you can identify high-demand products, emerging niches, and customer preferences. This information can guide your product development and marketing strategies.

Build tools: Use the scraped data to create practical applications like price comparison tools or inventory management systems. With the right dataset, you can automate and optimize various business processes.

However, scraping Amazon's vast marketplace comes with challenges. Its dynamic website structure, sophisticated anti-scraping measures (like CAPTCHAs), and strict legal policies create barriers. To overcome these obstacles, you must implement strategies that include using advanced tools to Extract Amazon E-Commerce Product Data. Success requires a tailored approach that matches your skill level and resource availability.

Legal and Ethical Considerations

Before diving into scraping, understand the legal and ethical implications:

Amazon's Terms of Service (ToS): Amazon prohibits scraping without permission. Violating ToS can lead to IP bans or legal action.

Data Privacy: Avoid collecting personal information about sellers or customers.

Rate Limiting: Excessive requests can overload Amazon's servers, violating ethical scraping practices.

robots.txt: Look for Amazon's robots.txt file to see which pages are disallowed for scraping.

To stay compliant:

Use Amazon's official Product Advertising API: for authorized data access (if applicable).

Scrape publicly available data sparingly: and respect rate limits.

Consult a legal expert: if you're building a commercial tool.

Code-Based Approach: Scraping with Python

For developers skilled in coding, Python provides robust libraries such as BeautifulSoup, Scrapy, and Selenium to Scrape Amazon E-Commerce Product Data efficiently. Using libraries like BeautifulSoup and Requests, you can easily extract product offers and seller details. Combining these tools allows you to navigate Amazon's complex structure and gather valuable insights. Whether you're looking to Scrape Amazon ecommerce Product Data for pricing trends or competitor analysis, this approach allows for streamlined data extraction. With the proper script, you can automate the process, gather vast datasets, and leverage them for various business strategies.

Prerequisites

Python 3.x installed.

Libraries: Install via pip:

Basic understanding of HTML/CSS selectors.

Sample Python Script

This script scrapes product titles, prices, and seller names from an Amazon search results page.

How It Works?

Headers: The script uses a User-Agent to mimic a browser, reducing the chance of being blocked.

Request: Sends an HTTP GET request to Amazon's search page for the query (e.g., "wireless earbuds").

Parsing: BeautifulSoup parses the HTML to locate product containers using Amazon's class names.

Extraction: Extracts the title, price, and seller for each product.

Error Handling: Handles network errors gracefully.

Challenges and Solutions

Dynamic Content: Some Amazon pages load data via JavaScript. Use Selenium or Playwright for dynamic scraping.

CAPTCHAs: Rotate proxies or use CAPTCHA-solving services.

IP Bans: Implement delays (time.sleep(5)) or use proxy services.

Rate Limits: Limit requests to 1–2 per second to avoid detection.

Scaling with Scrapy

For large-scale scraping, use Scrapy, a Python framework for building web crawlers. Scrapy supports:

Asynchronous requests for faster scraping.

Middleware for proxy rotation and user-agent switching.

Pipelines for storing data in databases like MySQL or MongoDB.

No-Code Approach: Using Web Scraping Tools

For non-developers or those looking for fast solutions, no-code tools provide an easy way to Extract Popular E-Commerce Website Data without needing to write any code. These tools offer visual interfaces allowing users to select webpage elements and automate data extraction. Common types of no-code tools include web scraping platforms, browser extensions, and API-based solutions. With these tools, you can quickly collect product offers, seller information, and more. Many businesses rely on Ecommerce Data Scraping Services to simplify gathering data from websites like Amazon, enabling efficient analysis and decision-making.

1. Visual Scraping Tool

Features: A desktop or cloud-based tool with a point-and-click interface, supports exporting data to CSV/Excel, and handles pagination.

Install the tool and start a new project.

Enter the Amazon search URL (e.g., https://www.amazon.com/s?k=laptop).

Use the visual editor to select elements like product title, price, or seller name.

Configure pagination to scrape multiple pages.

Run the task locally or in the cloud and export the data.

Pros: User-friendly, handles dynamic content, supports scheduling.

Cons: Free plans often have limits; premium plans may be required for large-scale scraping.

2. Cloud-Based Scraping Platform

Features: A free or paid platform with cloud scraping, API integration, and support for JavaScript-rendered pages.

Load the Amazon page in the platform's built-in browser.

Click on elements to extract (e.g., price, seller name).

Add logic to handle missing or inconsistent data.

Export results as JSON or CSV.

Pros: Free tiers often support small projects; intuitive for beginners.

Cons: Advanced features may require learning or paid plans.

3. Browser Extension Scraper

Features: A free browser-based extension for simple scraping tasks.

Install the extension in your browser.

Create a scraping template by selecting elements on the Amazon page (e.g., product title, price).

Run the scraper and download data as CSV.

Pros: Free, lightweight, and easy to set up.

Cons: Limited to static content; lacks cloud or automation features.

Choosing a No-Code Tool

Small Projects: Browser extension scrapers are ideal for quick, one-off tasks.

Regular Scraping: Visual scraping tools or cloud-based platforms offer automation and cloud support.

Budget: Start with free tiers, but expect to upgrade for large-scale or frequent scraping.

Start extracting valuable insights today with our powerful and easy-to-use scraping tools!

Contact Us Today!

Best Practices for Scraping Amazon

1. Respect Robots.txt: Avoid scraping disallowed pages.

2. Use Proxies: Rotate IPs to prevent bans. Proxy services offer residential proxies for reliable scraping.

3. Randomize Requests: Add delays and vary user agents to mimic human behavior.

4. Handle Errors: Implement retries for failed requests.

5. Store Data Efficiently: Use databases (e.g., SQLite, MongoDB) for large datasets.

6. Monitor Changes: Amazon's HTML structure changes frequently. Regularly update selectors.

7. Stay Ethical: Scrape only what you need and avoid overloading servers.

Alternative: Amazon Product Advertising API

Instead of scraping, consider Amazon's Product Advertising API for authorized access to product data. Benefits include:

Legal Compliance: Fully compliant with Amazon's ToS.

Rich Data: Access to prices, offers, reviews, and seller info.

Reliability: No risk of IP bans or CAPTCHAs.

Drawbacks:

Requires an Amazon Associate account with qualifying sales.

Limited to specific data points.

Rate limits apply.

To use the API:

1. Sign up for the Amazon Associates Program.

2. Generate API keys.

3. Use a library like boto3 (Python) to query the API.

How Product Data Scrape Can Help You?

Customizable Data Extraction: Our tools are built to adapt to various website structures, allowing you to extract exactly the data you need—whether it's product listings, prices, reviews, or seller details.

Bypass Anti-Scraping Measures: With features like CAPTCHA solving, rotating proxies, and user-agent management, our tools effectively overcome restrictions set by platforms like Amazon.

Supports Code and No-Code Users: Whether you're a developer or a non-technical user, our scraping solutions offer code-based flexibility and user-friendly no-code interfaces.

Real-Time and Scheduled Scraping: Automate your data collection with scheduling features and receive real-time updates, ensuring you always have the latest information at your fingertips.

Clean and Structured Output: Our tools deliver data in clean formats like JSON, CSV, or Excel, making it easy to integrate into analytics tools, dashboards, or custom applications.

Conclusion

Scraping Amazon product offers and seller information is a powerful way to Extract E-commerce Data and gain valuable business insights. However, thoughtful planning is required to address technical barriers and legal considerations. Code-based methods using Python libraries like BeautifulSoup or Scrapy provide developers with flexibility and control. Meanwhile, no-code tools with visual interfaces or browser extensions offer user-friendly options for non-coders to use Web Scraping E-commerce Websites .

For compliant access, the Amazon Product Advertising API remains the safest route. Regardless of the method, always follow ethical scraping practices, implement proxies, and handle errors effectively. Combining the right tools with innovative techniques can help you build an insightful Ecommerce Product & Review Dataset for business or academic use.

At Product Data Scrape, we strongly emphasize ethical practices across all our services, including Competitor Price Monitoring and Mobile App Data Scraping. Our commitment to transparency and integrity is at the heart of everything we do. With a global presence and a focus on personalized solutions, we aim to exceed client expectations and drive success in data analytics. Our dedication to ethical principles ensures that our operations are both responsible and effective.

Read More>> https://www.productdatascrape.com/amazon-product-seller-scraping-tools.php

[webdatacrawlerservice]

Liquor Price Data Scraping Helps Uncover Beverage Pricing Trends from Retailers

Introduction

Optimizing pricing strategies in today's competitive alcoholic beverage market demands sophisticated intelligence frameworks. This case study examines how Liquor Price Data Scraping revolutionized the pricing strategy for a prominent beverage analytics firm, highlighting the transformative potential of advanced data harvesting methodologies in the modern retail liquor ecosystem.

The client faced significant hurdles in accessing comprehensive insights into competitive pricing structures, promotional patterns, and discount strategies across multiple retail platforms. They required an integrated solution that provided transparent visibility into Alcohol Price Tracking dynamics with unparalleled accuracy and consistency to fuel strategic decision-making processes.

Client Success Story

Our client, an innovative beverage analytics organization with seven years of specialized experience in marketplace solutions, had established a reputation for data-driven optimization excellence. However, the complex network of retail liquor platforms presented formidable obstacles to gathering holistic Liquor Price Data Scraping intelligence.

"Before implementing our solution, we were developing pricing recommendations with substantial knowledge gaps," explains the company's Analytics Director. "Traditional methods of Track Alcohol Prices From Retailers were inefficient and fundamentally limited in scope."

Deploying advanced web scraping capabilities fundamentally transformed their strategic approach. With immediate access to granular, real-time insights into pricing variations, promotional frameworks, and competitive positioning, they could calibrate their pricing strategy with remarkable precision.

Within five months of implementation, the client achieved:

41% enhancement in pricing optimization accuracy

32% improvement in analytical efficiency

26% increase in margin optimization effectiveness

24% expansion in market segment coverage

The Core Challenge

The client encountered multiple interconnected obstacles that constrained their pricing optimization potential and strategic effectiveness:

Fragmented Spirits Pricing Landscape

Retail liquor platforms utilize complex and constantly evolving pricing structures. Online Liquor Store Data Scraping requires innovative technological solutions to effectively monitor these dynamic pricing environments with real-time accuracy and contextual understanding.

Information Intelligence Gaps

Traditional methodologies couldn't provide comprehensive visibility into price variations, promotional mechanisms, and competitive positioning. Without robust, real-time Web Scraping For Alcohol Prices, information limitations significantly hindered strategic pricing decisions.

Integration Complexity Barriers

Organizations struggled to develop sophisticated Liquor Price Web Scraping API systems that could integrate smoothly with existing business intelligence frameworks while maintaining data integrity and platform compliance requirements.

The client needed an advanced solution addressing these multifaceted challenges while delivering actionable pricing intelligence without disrupting established business processes.

Smart Solution

Our technology architecture leverages cutting-edge systems to Extract Liquor And Beverage Pricing Data with exceptional precision and reliability. This converts raw pricing intelligence into strategic optimized pricing structures and competitive advantage.

Spirits Market Intelligence Platform

Our sophisticated platform systematically collects pricing information from multiple liquor retailers, providing multidimensional analysis of base pricing, promotional activities, incentives, and competitive benchmarks to optimize pricing through Retail Alcohol Price Scraping.

Predictive Analytics Framework

Powered by an advanced analytical engine, our solution transforms complex pricing data into actionable strategic insights, enabling competitive intelligence, analysis, and promotional optimization through comprehensive Liquor Data Scraping for informed decision-making.

Resilient Data Collection System

Built with dynamic scraping architecture, our system adapts to evolving platform structures for consistent, high-precision Real-Time Alcohol Price Scraping. It guarantees uninterrupted price data extraction with minimal maintenance across diverse beverage retail ecosystems.

The solution was engineered for enterprise-level scalability, enabling seamless expansion aligned with evolving business requirements. We maximized strategic value through seamless integration with existing analytics frameworks.

Execution Strategy

Our implementation methodology represents a systematic approach to deploying sophisticated Liquor Price Web Scraping API solutions, ensuring perfect integration, platform compliance, and maximum value extraction from pricing intelligence.

Comprehensive Market Analysis

We initiated a detailed study of leading liquor retailers, evaluating pricing ecosystems and promotions. This helped identify crucial pricing data points and form a strategy for actionable insights through Alcohol Price Tracking.

Advanced Extraction Framework

We designed customized tools for Web Scraping For Alcohol Prices, utilizing advanced normalization techniques and visualization systems to convert unstructured data into accurate, strategic pricing intelligence.

Compliance Governance Structure

Through Online Liquor Store Data Scraping, we implemented stringent validation protocols, blending algorithmic checks with manual reviews to ensure accuracy, regulatory compliance, and operational excellence.

Phased Deployment Framework

We ensured seamless solution rollout for Competitive Pricing Analysis For Liquor, establishing clear operational workflows, monitoring processes, and delivering stakeholder training for consistent performance and reliable data insights.

Ongoing System Enhancement

We continually optimized processes to Track Alcohol Prices From Retailers, refining extraction techniques and analytical models for enhanced accuracy, system efficiency, and scalable strategic pricing intelligence.

We maintain clear communication with structured reporting and rapid issue resolution, leveraging agile methodologies to continuously adapt to emerging market trends and evolving strategic priorities.

Impact & Results

Implementing our comprehensive Liquor Price Data Scraping solution delivered transformative improvements across critical business areas, generating measurable value and sustainable competitive differentiation.

Complete Market Visibility

Our technology captures multidimensional pricing insights, empowering businesses to Extract Liquor And Beverage Pricing Data to fully understand pricing patterns, competitive positioning, and promotional strategies.

Enhanced Process Efficiency

Automated price intelligence powered by Real-Time Alcohol Price Scraping eliminates manual analysis, increases operational efficiency, and empowers pricing teams to concentrate on critical, high-value strategic optimization efforts.

Advanced Forecasting Capabilities

Leveraging Retail Alcohol Price Scraping, businesses gain actionable intelligence, transforming intricate pricing dynamics into future-ready strategies for improved market positioning and predictive accuracy across diverse retail environments.

Revenue Performance Optimization

Data-driven insights from Competitive Pricing Analysis For Liquor uncover revenue opportunities, refine promotional frameworks, and strengthen pricing decisions across liquor categories, improving overall revenue management and strategic outcomes.

Enduring Market Leadership

With Liquor Data Scraping, businesses respond dynamically to market shifts, enabling real-time intelligence that drives sophisticated, competitive pricing strategies and sustains long-term leadership within the liquor industry.

Final Takeaways

Liquor Data Scraping enabled dynamic market response and delivered real-time intelligence, enabling sophisticated, data-driven pricing strategies.

Strategic Insights

Successful adoption of advanced Online Liquor Store Data Scraping showcases how intelligent data collection technologies can strategically revolutionize beverage retail pricing optimization, driving actionable insights and operational excellence.

Digital Pricing Revolution

Future-ready pricing excellence depends on leveraging robust technological solutions to extract beverage pricing data, improving strategic decisions and operational agility across the competitive retail spirits industry.

Holistic Data Intelligence

Maximizing business impact requires integrating internal metrics with external market insights using Web Scraping For Alcohol Prices, fostering a unified intelligence framework for responsive and informed decision-making.

Ethical Data Stewardship

Upholding high ethical standards in data practices ensures regulatory compliance, brand protection, and sustainable success for businesses deploying Liquor Price Web Scraping API within data-driven strategies.

Transformative Analytics Platforms

Advanced platforms are reshaping pricing analysis by converting complex data into actionable insights, empowering businesses to drive market advantage through intelligent Alcohol Price Tracking strategies and positioning.

Strategic Market Advantage

Mastering techniques to Track Alcohol Prices From Retailers empowers businesses to sharpen pricing strategies, enhance market positioning, and gain a competitive edge in digital beverage marketplaces.

Client Testimonial

"Integrating Liquor Price Data Scraping has wholly transformed our pricing strategy. This advanced solution has delivered unparalleled market insights, empowering us to make well-informed and strategic pricing decisions in an ever-evolving and highly competitive marketplace."

- Chief Strategy Officer, Beverage Analytics Enterprise

Conclusion

Enhancing pricing strategies, tracking competitive discounts, and strengthening market presence in the retail liquor industry demand accurate, real-time data. Our Retail Alcohol Price Scraping solutions deliver actionable pricing intelligence to help businesses make smarter, data-driven decisions.

With Real-Time Alcohol Price Scraping expertise, we help businesses monitor price fluctuations, track product listings, and uncover market trends that drive profitability. Stay ahead in the dynamic beverage sector with instant insights into pricing shifts.

Partner with Web Data Crawler to harness the power of Liquor Price Data Scraping. Our tailored solutions empower your pricing strategy with precise data, unlocking growth opportunities and giving you a competitive edge in the evolving retail liquor market.

Originally published at https://www.webdatacrawler.com.

[therimguy]

🚗 Hello, safety-conscious drivers! Have you ever noticed a wobble or vibration while cruising at highway speeds? Perhaps you spotted a dent or crack along the edge of your rim. A damaged wheel rim can be more than a mere cosmetic flaw—it can compromise handling, accelerate tire wear, and even lead to potential blowouts if left unresolved. The good news? With the right information and strategy, you can assess the extent of the damage, explore repair options, and decide if a replacement is the safer (and smarter) choice. In this friendly, emoji-filled guide, we’ll delve into the different kinds of wheel damage fix methods, from simple scuff repairs to advanced welding and reshaping. Along the way, we’ll highlight rim damage cost factors, prevention tips, and real-world examples to help you protect your car’s appearance—and your peace of mind. Let’s put safety first and learn how to handle repairing broken wheels without breaking the bank! 🛞💥 Why a Damaged Wheel Rim Matters 🏁 A damaged wheel might look like a minor inconvenience, but it can create a domino effect of issues: - Compromised Safety: Bent or cracked rims can lead to erratic handling, steering vibrations, or even tire blowouts. - Increased Tire Wear: An uneven rim surface may force tires to wear out prematurely, hiking your overall maintenance costs. - Fuel Efficiency Drop: Misaligned or unbalanced wheels add rolling resistance, impacting MPG. - Resale Value Concerns: Prospective buyers might see a neglected rim as a sign of poor vehicle care. Bottom line: addressing a damaged wheel rim promptly helps ensure both safety and cost-effectiveness. Common Causes of Wheel Damage 🍂 - Potholes & Road Debris: Sharp impacts can dent or crack rims, especially when tire pressure is low. - Curb Collisions: Tight parking or misjudged turns near curbs often lead to gouged or bent rims. - Underinflated Tires: Less cushioning means harder contact with the rim during bumps or potholes. - Corrosion Over Time: Salt, moisture, and brake dust can weaken metal surfaces, leading to cracks. - Accidents & Collisions: Even minor fender-benders may transmit force to the wheels. Emoji Tip: Keep an eye on pothole-ridden roads, and consider alternative routes when possible to avoid repeated rim damage! How to Spot a Damaged Wheel Rim 🔎 Sometimes rim damage is obvious—a visible dent or crack. Other times, the warning signs are subtle: - Vibrations or Shakes: A bent rim often causes steering wheel tremors at specific speeds. - Slow Air Leaks: Damaged rims may disrupt the tire’s bead seal, causing gradual deflation. - Tire Cupping or Uneven Tread: Watch for inconsistent wear patterns. - Reduced Handling: Persistent pulling to one side can point to rim-related alignment issues. If you suspect damage, inspect your wheel for bends, cracks, or chipped paint exposing bare metal. Swift action prevents small problems from escalating into larger (and pricier) repairs. Types of Wheel Rim Damage & Repair Options Damage TypeDescriptionRepair RecommendationBent RimVisible dent or out-of-round shapeHydraulic press reshaping, possible welding if cracks are foundCracked RimHairline fractures or full splitsWelding for small cracks, replacement for extensive damageCorrosion & PittingMetal weakening, surface flaking, possible leaksSandblasting & refinishing, sealing corroded areasScuffs & ScrapesCosmetic abrasions, curb rashSanding, filler, repainting, or pro refinishing Emoji Reminder 💡: The more severe the damage, the higher your rim damage cost is likely to climb. It’s best to address issues while they’re still minor. DIY Approaches for Minor Rim Issues 🏠🛠️ If your damaged wheel rim falls into the mild or cosmetic category, you may handle it yourself: - Surface Sanding & Filling: Light curb rash or minor scrapes can often be sanded away using fine-grit sandpaper. A small amount of body filler or specialized rim filler smooths out deeper gouges. - Priming & Painting: Automotive primer prevents corrosion, while matching wheel paint and a clear coat restore aesthetics. - Wheel Sealant: If you spot minor corrosion, a protective sealant can deter moisture from worsening the damage. Pros: Low cost, flexible scheduling, personal satisfaction.Cons: Risk of incomplete repair, color mismatch, or missing hidden cracks. Professional Rim Repair Methods 🏆 When dealing with severe bends, cracks, or advanced corrosion, a specialized shop may be your best bet. Let’s explore the tools and techniques repairing broken wheels professionals use: - Hydraulic Press Reforms: Gently reshapes bent rims back to factory specs, preventing structural compromise. - TIG or MIG Welding: Cracked rims need welding and careful smoothing to maintain wheel balance. - CNC Machining: Removes damaged material uniformly, ensuring a clean, even rim edge. - Powder Coating: Offers robust protection against future damage with a smooth, durable finish. Drawback: Higher labor fees, though many shops back repairs with short-term warranties—worth the extra cost for peace of mind. Table: Typical Rim Damage Cost 🏷️ Repair ScenarioDIY CostProfessional Estimate (Per Wheel)NotesLight Curb Rash$20–$60 (materials)$75–$125Sanding, filler, paint onlyMinor Bend, No Crack$75–$100 in tools$125–$200Might require a shop press, safer to leave to prosCracked Rim (Weldable)N/A$150–$300+Welding & refinishing, depends on crack lengthAdvanced Corrosion/Refinish$60–$100 (DIY kit)$200–$350+Sandblasting, powder coat or advanced paint Keep in mind that a severely damaged wheel rim might be too compromised for safe repair, pushing you toward a complete replacement. If your professional shop expresses doubts, trust their judgment. When Replacement Is Necessary ❗ While many forms of damage are fixable, some wheels are simply beyond salvation: - Extensive Cracks: Multiple fractures or compromised structural sections can’t handle road stresses. - Large Missing Chunks: If a collision caused part of the rim to break off, a new wheel is safer. - Aging & Multiple Repairs: After repeated welds or severe refinishes, the rim may no longer meet safe specs. - Outdated/Hard-to-Find Parts: Some rims are so unique that replacement is more cost-effective than waiting for specialized repairs. Emoji Caution 😯: Driving on a borderline rim can endanger you and others. If in doubt, consult a professional for a second opinion. Real-World Example 🌐 A driver noticed persistent steering wheel vibrations around 60 mph. After a quick inspection, they discovered a bent rim from hitting a deep pothole. Visiting a local wheel shop, they learned the rim also had a small crack near the spoke. Though the crack was weldable, the shop recommended replacement due to the rim’s older metal composition and prior repairs. Had the damage been limited to a mild bend or scuff, repairing broken wheels might’ve cost $150–$200. Instead, the final bill for a new rim replacement reached $250. The driver found peace of mind, knowing they wouldn’t risk further structural issues or repeated visits to fix the same rim. Preventing Future Wheel Damage 🔒 While you can’t dodge every pothole, adopting these habits shrinks your risk of a damaged wheel rim: - Maintain Correct Tire Pressure: Underinflated tires absorb less impact, transferring force to the wheel. - Mind the Road Conditions: Slow down over speed bumps, avoid potholes when possible. - Regular Inspections: Spot corrosion or hairline cracks early, saving on bigger bills later. - Seasonal Tire Swaps: If you live in an area with extreme winters, switching to seasonal tires protects rims from harsh salt and ice. - Balanced & Aligned Wheels: Routine alignment checks reduce uneven stress on your rims. Emoji Tip 💡: Consider a slightly higher tire profile for city driving—more cushion between rim and curb helps minimize damage. Repair or Replace? Making the Decision 🤔 When faced with a damaged wheel rim, weigh these factors: - Severity of Damage: Shallow dents or minor cracks are often fixable; large fractures usually aren’t. - Age & Condition of Rim: Older, corrosion-prone rims may benefit more from replacement. - Budget: Compare repair estimates to the cost of a new or refurbished wheel. - Safety & Peace of Mind: Feeling uncertain about the integrity of a repaired rim can be more costly in the long run. Emoji Logic 🤓: If the total rim damage cost for welding and refinishing creeps over half the price of a replacement, a new wheel might be more economical. Maintenance & Post-Repair Care 🧽 If you do choose to repair a bent or cracked rim, follow these steps to preserve results: - Gentle Washing: Use mild cleaners and a soft cloth to remove brake dust. - Frequent Pressure Checks: Ensure the tire maintains recommended PSI, confirming the repair remains sealed. - Avoid Extreme Impacts: Slow down for potholes and approach curbs cautiously. - Re-Balance Wheels: If you notice any new vibrations, have the wheels balanced again. Taking care after a rim fix prolongs the wheel’s lifespan and keeps your car running smoothly. Emoji Table: Quick Checklist 😍 TaskFrequencyWhy It MattersCheck Tire PressureMonthlyPrevents extra rim stress & uneven tire wearInspect for Cracks/GougesEach Wash or RotationEarly detection stops small issues from growingWheel BalancingEvery 6,000–8,000 milesMaintains smooth ride & extends tire lifeAlignment ChecksAnnually or as neededPrevents pulling & uneven rim loadingSeasonal Tire SwapsIf climate requiresProtects rims from salt, ice, or extreme heat Keeping up with these quick tasks is a straightforward way to avoid additional rim damage cost. Where to Seek Expert Advice 💡 - Car and Driver’s Wheel Safety Section: Learn about advanced wheel repair strategies, common pitfalls, and pro tips. - For direct professional insight, therimguy.ca offers honest evaluations, ensuring your damaged wheel rim gets the care it deserves. Conclusion 🏆 Damaged wheel rim challenges don’t have to derail your driving experience. From mild bends and cosmetic curb rash to serious cracks, there’s likely a cost-effective and safe remedy if you catch the issue early. Sometimes a straightforward wheel damage fix—like welding or reshaping—can restore a rim’s structural integrity, while in other instances, a full-on replacement brings peace of mind and spares you repeated service visits. Assessing the severity of the damage, consulting trusted sources, and balancing repair versus replacement costs lead to the best outcome. By fostering proactive habits—regular inspections, proper tire inflation, and mindful driving—you’ll keep your rims in good shape for the long haul. 🚀 Stay safe, keep rolling smoothly, and tackle rim damage with confidence! Read the full article

[ivfrisaa]

Pap Smear Test: When, Why & How It’s Done? Know Everything

Are you looking for a Pap smear test near me? A Pap smear is a screening test that helps detect cervical cancer and other issues at an early stage. It is recommended for women aged 21 and above and especially those who are sexually active. The procedure is simple and quick. Also, it can identify precancerous changes to help you start a treatment in time. 

At RISAA IVF, we offer advanced diagnosis for every woman. Dr. Rita Bakshi, senior gynecologist ensures that everyone is comfortable and gets proper care. Today, in this blog, we are going to explain everything about the Pap smear test. We will include its procedure, before & after the test, and when you should get one.

What Is Pap Smear Test And How Is It Done?

A Pap smear test is a routine screening. It is basically used to check for cervical cancer and other issues in the cervix. This test collects a small sample of cells from the cervix by using a soft brush or spatula. Then, your doctor will examine it under a microscope for any signs of infection, inflammation, or precancerous changes. 

The test is quick and usually painless. Additionally, it plays an important role in detecting and preventing any issue early. Some also use a Pap smear test kit for home collection. However, doctor guidance is important to ensure accuracy and proper evaluation.

Let us now discuss the meaning of a Pap smear and its procedure. Continue reading to know everything about this important screening test.

Pap Smear Test Means

A Pap smear is a simple screening method which is used to detect abnormalities in women. The full form of Pap smear test is Papanicolaou Smear Test. It was named after Dr. George Papanicolaou, who developed it. It helps identify abnormal cell changes in the cervix before they become cancerous. Pap smear test in Hindi is called पैप स्मीयर परीक्षण.

Now, let’s see how you can prepare yourself if you’re going for a pap smear. We will also tell you about the whole procedure and what you can expect after this test.

How Should I Prepare for a Pap Smear?

It’s important to prepare yourself if you’re going for a pap smear test. It will ensure that you get accurate results and a comfortable experience. Here are some guidelines that you can follow, including:

Avoid vaginal activities: Avoid sex, douching, and vaginal products for at least two days before the test. They might wash away or hide abnormal cells which can affect accuracy.

Schedule wisely: Try to schedule your Pap test when you’re not on your periods. Because heavy bleeding can affect the accuracy of the results. 

Maintain normal hygiene: You can shower as usual before your appointment. However, avoid tub baths for 24 hours before the test.

Stay hydrated: You might be asked to provide a urine sample. So, it’s advisable to drink lots of water on your appointment day.

Communicate with your Doctor: Inform your doctor about any medications you’re taking or any health conditions you have.

Pap Smear Test Process

The Pap smear is a simple and quick test. It is usually painless but some women may experience slight discomfort. The entire process takes just a few minutes and is performed in a doctor’s clinic. Let’s see what are steps in this process:

Process Of Pap Smear Test

Preparation: You will lie on an exam table with your feet in stirrups. This position helps the doctor get a clear view of the cervix.

Insertion of Speculum: The doctor will gently insert a speculum into your vagina. This medical tool helps open the vaginal walls so that the cervix can be easily examined. This may feel slightly uncomfortable but it is not usually painful.

Cell Collection: Using a small soft brush or spatula, the doctor will collect a sample of cells from the cervix. This step is quick and might cause mild pressure or a slight scraping sensation.

Sample Analysis: The collected cervical cells are then sent to a laboratory where they are examined under a microscope for any abnormal changes or infections.

Results: The test results are usually available within a few days. No further action is required if the results are normal. If abnormalities are detected, your doctor may recommend follow-up tests or further evaluation.

What Should I Expect After a Pap Smear?

After a Pap smear, most women can resume their normal activities immediately. The procedure is quick and usually painless. However, some women may feel mild side effects after a pap smear. Here’s what you can expect:

Possible After-Effects:

Mild discomfort: You may feel slight cramping similar to menstrual cramps, but it should go away quickly.

Light spotting: Some women experience mild spotting or light bleeding. This is normal and should stop within a day.

Temporary sensitivity: The cervix may feel slightly irritated, but this does not require medical attention.

When to Contact a Doctor?

If you experience heavy bleeding, severe pain, or unusual discharge after the test.

If symptoms remain for more than a couple of days.

Your Pap smear results typically arrive within a few days to a few weeks. If abnormal cells are detected, your doctor may recommend further tests or monitoring.

What do Pap Smear Test Results Mean?

A Pap smear test helps to show the health of your cervix. The results generally fall into two categories, Normal and Abnormal. Let’s understand this through a table:

Result Type

Meaning

Next Steps

Normal (Negative)

No abnormal cells detected.

No further action needed until your next routine screening.

Atypical Cells

Slight cell changes, often due to infections or HPV.

May need follow-up testing to monitor changes.

Low-Grade Changes

Mild abnormalities, could be caused by HPV.

A repeat Pap test or HPV testing may be recommended.

High-Grade Changes

More significant abnormalities that may lead to cancer if untreated.

Your doctor may recommend a colposcopy or biopsy for further checks.

Precancerous or Cancerous Cells

Rare but indicates a risk of cervical cancer.

Immediate follow-up and treatment required.

How often do you need a Pap smear?

The frequency of Pap smear tests depends on your age, medical history, and risk factors. Here are the general guidelines:

Age Group

Recommended Frequency

Under 21 years

Not needed

21-29 years

Every 3 years

30-65 years

Every 3 years (Pap smear only) or every 5 years (if combined with HPV test)

65+ years

May stop if previous tests were normal and no high risk exists

Important Note: Always consult your doctor for personalized screening recommendations. You can also consult the Dr. Rita Bakshi, the best gynecologist in Delhi, for better guidance.

Cost For Pap Smear Test

The Pap Smear Test Price in India varies depending on the location, diagnostic center, and the method used. Prices can range from as low as ₹240 to ₹2,000 or more. At RISAA IVF, we provide high-quality healthcare services at patient-friendly prices. Our Pap smear test pricing is affordable. We ensure that every woman has access to essential cervical health screenings. For precise pricing details, we encourage you to contact our clinic directly.

Closing Line

In this blog, we have covered everything you need to know about the Pap smear test. We have explained its meaning, procedure, preparation, results, and importance. Regular screening helps to find cervical issues at an early stage. If you have any concerns, consulting a doctor is always recommended.  

At RISAA IVF, Dr. Rita Bakshi and her team are here to provide expert care. We ensure the best medical care for every woman. Feel free to contact us at the given number or email for any queries or appointments.

Frequently Asked Questions (FAQs)

Do you need a Pap smear if not sexually active?

Yes, doctors still recommend Pap smears for women aged 21 and above, even if they are not sexually active, as cervical cancer can develop due to other factors besides sexual activity.

Does a Pap smear hurt?

A Pap smear is usually not painful, but some women may feel mild discomfort or pressure when the doctor collects the cell sample from the cervix. The procedure is quick and lasts only a few minutes.

At what age should I start getting a Pap smear?

Women should begin Pap smear tests at 21, no matter their sexual activity.

Do I need a Pap smear after menopause?

Yes, women between 50-65 should continue regular screenings unless advised otherwise by a doctor.

Can a Pap smear detect sexually transmitted infections (STIs)?

No, a Pap smear doesn’t detect STIs. However, there are other tests that can be done if needed.

How long does a Pap smear test take?

The procedure takes only a few minutes to complete.

Source: https://risaaivf.com/

[wafi-news2024]

AI-Powered Cyber Attacks: How Hackers Are Using Generative AI 

Introduction 

Artificial Intelligence (AI) has revolutionized industries, from healthcare to finance, but it has also opened new doors for cybercriminals. With the rise of generative AI tools like ChatGPT, Deepfake generators, and AI-driven malware, hackers are finding sophisticated ways to automate and enhance cyber attacks. This article explores how cybercriminals are leveraging AI to conduct more effective and evasive attacks—and what organizations can do to defend against them. 

How Hackers Are Using Generative AI

1. AI-Generated Phishing & Social Engineering Attacks

Phishing attacks have become far more convincing with generative AI. Attackers can now: 

Craft highly personalized phishing emails using AI to mimic writing styles of colleagues or executives (CEO fraud). 

Automate large-scale spear-phishing campaigns by scraping social media profiles to generate believable messages. 

Bypass traditional spam filters by using AI to refine language and avoid detection. 

Example: An AI-powered phishing email might impersonate a company’s IT department, using natural language generation (NLG) to sound authentic and urgent.

2. Deepfake Audio & Video for Fraud

Generative AI can create deepfake voice clones and videos to deceive victims. Cybercriminals use this for: 

CEO fraud: Fake audio calls instructing employees to transfer funds. 

Disinformation campaigns: Fabricated videos of public figures spreading false information. 

Identity theft: Mimicking voices to bypass voice authentication systems. 

Example: In 2023, a Hong Kong finance worker was tricked into transferring $25 million after a deepfake video call with a "colleague." 

3. AI-Powered Malware & Evasion Techniques

Hackers are using AI to develop polymorphic malware that constantly changes its code to evade detection. AI helps: 

Automate vulnerability scanning to find weaknesses in networks faster. 

Adapt malware behavior based on the target’s defenses. 

Generate zero-day exploits by analyzing code for undiscovered flaws. 

Example: AI-driven ransomware can now decide which files to encrypt based on perceived value, maximizing extortion payouts. 

4. Automated Password Cracking & Credential Stuffing 

AI accelerates brute-force attacks by: 

Predicting password patterns based on leaked databases. 

Generating likely password combinations using machine learning. 

Bypassing CAPTCHAs with AI-powered solving tools. 

Example: Tools like PassGAN use generative adversarial networks (GANs) to guess passwords more efficiently than traditional methods. 

5. AI-Assisted Social Media Manipulation 

Cybercriminals use AI bots to: 

Spread disinformation at scale by generating fake posts and comments. 

Impersonate real users to conduct scams or influence public opinion. 

Automate fake customer support accounts to steal credentials. 

Example:AI-generated Twitter (X) bots have been used to spread cryptocurrency scams, impersonating Elon Musk and other influencers. 

How to Defend Against AI-Powered Cyber Attacks 

As AI threats evolve, organizations must adopt AI-driven cybersecurity to fight back. Key strategies include: 

AI-Powered Threat Detection – Use machine learning to detect anomalies in network behavior. 

Multi-Factor Authentication (MFA) – Prevent AI-assisted credential stuffing with biometrics or hardware keys. 

Employee Training – Teach staff to recognize AI-generated phishing and deepfakes. 

Zero Trust Security Model – Verify every access request, even from "trusted" sources. 

Deepfake Detection Tools – Deploy AI-based solutions to spot manipulated media. 

Conclusion  Generative AI is a double-edged sword—while it brings innovation, it also empowers cybercriminals with unprecedented attack capabilities. Organizations must stay ahead by integrating AI-driven defenses, improving employee awareness, and adopting advanced authentication methods. The future of cybersecurity will be a constant AI vs. AI battle, where only the most adaptive defenses will previl.

[crownsoft]

How to efficiently scrape user information？

How to efficiently scrape user information？For WhatsApp marketing and many other marketing methods, the more we know about the other party’s information in the early stages of marketing, the more likely we are to convert them into customers. This is particularly true when there are significant differences in purchasing power across different groups. Knowing the gender information of the target audience in advance allows for targeted marketing, which can help improve the success rate and efficiency of marketing efforts.

So, before conducting WhatsApp marketing, how can we obtain and learn about the relevant information of our customers? Traditional methods of manually checking user information are very inefficient and cumbersome. If we want to acquire account details for a large list of phone numbers, it may take us a long time to complete this task. This undoubtedly affects our marketing efficiency and wastes the time and energy of marketers.

Luckily, we now have some auxiliary tools to help us complete these marketing tasks. One such tool is Crownsoft’s WhatsApp Number Data Scraper Software. By using this software in an appropriately adapted way, we can quickly and efficiently obtain relevant user information, making the process much more convenient and easy.

With this software, we can choose to import our own phone number list or directly generate phone numbers based on the software’s conditions (such as number range, country, region, city, etc.). After completing these steps, we simply log into our account, select the account information to scrape/acquire, and the software will quickly and efficiently complete the task.

Crownsoft’s WhatsApp Number Data Scraper Software can retrieve various types of information related to phone numbers, such as profile pictures, signatures, and registration details. The software also has an automatic detection feature that can deduce information such as gender and age of the account based on the data above, making it more suitable for marketers to choose potential customers.

This concludes the section on "How to efficiently scrape user information?" We are very honored that you’ve read this article, and we deeply appreciate it! If you have any questions or other concerns about the content, please feel free to contact us for more information.

Crownsoft’s WhatsApp Number Data Scraper Software allows you to choose from various methods to generate phone numbers from different regions. By logging in and verifying the account, the software analyzes and presents the registration status of WhatsApp accounts. The software uses Crownsoft’s custom program to filter account information more precisely, including profile pictures, age (automatically recognized), gender (automatically recognized), signature, signature language, and more. It also supports exporting filtered data into .txt, .xls, .xlsx, or .vcf files.

[gloriousfestgentlemen02]

Sure, here is the article formatted according to your specifications:

Cryptocurrency data scraping TG@yuantou2048

In the rapidly evolving world of cryptocurrency, staying informed about market trends and price movements is crucial for investors and enthusiasts alike. One effective way to gather this information is through cryptocurrency data scraping. This method involves extracting data from various sources on the internet, such as exchanges, forums, and news sites, to compile a comprehensive dataset that can be used for analysis and decision-making.

What is Cryptocurrency Data Scraping?

Cryptocurrency data scraping refers to the process of automatically collecting and organizing data related to cryptocurrencies from online platforms. This data can include real-time prices, trading volumes, news updates, and social media sentiment. By automating the collection of this data, users can gain valuable insights into the cryptocurrency market, enabling them to make more informed decisions. Here’s how it works and why it’s important.

Why Scrape Cryptocurrency Data?

1. Real-Time Insights: Scraping allows you to access up-to-date information about different cryptocurrencies, ensuring that you have the latest details at your fingertips.

2. Market Analysis: With the vast amount of information available online, manual tracking becomes impractical. Automated scraping tools can help you stay ahead by providing timely and accurate information.

3. Tools and Techniques:

Web Scrapers: These are software tools designed to extract specific types of data from websites. They can gather data points like current prices, historical price trends, and community sentiment, which are essential for making informed investment decisions.

2. Automation: Instead of manually checking multiple platforms, automated scrapers can continuously monitor and collect data, saving time and effort.

3. Customization: You can tailor your scraper to focus on specific metrics or platforms, allowing for personalized data collection tailored to your needs.

4. Competitive Advantage: Having access to real-time data gives you an edge in understanding market dynamics and identifying potential opportunities or risks.

5. Legal Considerations: It's important to ensure that the data collected complies with legal guidelines and respects terms of service agreements of the websites being scraped. Always check the legality and ethical considerations before implementing any scraping projects.

6. Use Cases:

Price Tracking: Track the value of different cryptocurrencies across multiple exchanges.

Sentiment Analysis: Analyze social media and news feeds to gauge public opinion and predict market movements.

7. Challenges:

Dynamic Content: Websites often use JavaScript to load content dynamically, which requires advanced techniques to capture this data accurately.

Scraping Tools: Popular tools include Python libraries like BeautifulSoup and Selenium, which can parse HTML and interact with web pages to extract relevant information efficiently.

8. Best Practices:

Respect Terms of Service: Ensure that your scraping activities comply with the terms of service of the websites you’re scraping from. Some popular platforms like CoinMarketCap, Coingecko, and Twitter for sentiment analysis.

9. Ethical and Legal Scrutiny: Be mindful of the ethical implications and ensure compliance with website policies.

10. Data Quality: The quality of the data is crucial. Use robust frameworks and APIs provided by exchanges directly when possible to avoid overloading servers and ensure reliability.

11. Conclusion: Cryptocurrency data scraping is a powerful tool for anyone interested in the crypto space. However, always respect the terms of service of the platforms you scrape from.

12. Future Trends: As the landscape evolves, staying updated with the latest technologies and best practices is key. Always respect the terms of service of the platforms you're scraping from.

13. Conclusion: Cryptocurrency data scraping offers a wealth of information but requires careful implementation to avoid violating terms of service or facing legal issues.

14. Final Thoughts: While scraping can provide significant advantages, it’s vital to use these tools responsibly and ethically.

This structured approach ensures that you adhere to ethical standards while leveraging the power of automation to stay informed without infringing on copyright laws and privacy policies.

Feel free to adjust the length and tone as needed.

加飞机@yuantou2048

EPP Machine

蜘蛛池出租

[productdata]

Scrape Grocery Prices from Amazon Fresh & Instacart

Introduction

The grocery delivery industry has evolved significantly, with platforms like Amazon Fresh and Instacart offering convenience, variety, and competitive pricing. To analyze pricing trends, businesses rely on advanced tools to Scrape Grocery Prices from Amazon Fresh & Instacart. This data extraction method provides real-time insights into product prices, discounts, and availability. By leveraging this approach, companies can track price fluctuations, identify consumer trends, and optimize pricing strategies. Additionally, researchers and businesses can Extract Grocery Pricing Data from Amazon Fresh & Instacart, which helps compare prices across multiple platforms. This analysis aids in understanding consumer behavior, market trends, and pricing competitiveness. Moreover, Web Scraping Grocery & Gourmet Food Data allows businesses to monitor seasonal trends, promotional offers, and inventory shifts. With accurate, real-time grocery price data, companies can make data-driven decisions, enhance customer experiences, and stay ahead in the competitive grocery delivery market.

The Growing Importance of Grocery Price Scraping

As grocery e-commerce expands, pricing intelligence has become essential for retailers, brands, and analysts. Consumers frequently compare prices before purchasing, prompting businesses to leverage data analytics for competitive pricing strategies. Scraping Instacart & Amazon Fresh for Real-Time Grocery Prices allows companies to gain valuable insights into pricing fluctuations and make informed decisions.

Competitive Analysis: Businesses can track price variations across platforms and adjust their pricing strategies to remain competitive. Using Web Scraping Amazon Fresh Data, retailers can compare product prices, monitor discounts, and stay ahead of market trends.

Consumer Insights: Tracking price changes over time reveals key trends in consumer purchasing behavior. By analyzing an InstaCart Grocery Dataset, businesses can identify how pricing impacts buying habits and demand shifts.

Supply Chain Optimization: Businesses can Extract Instacart Grocery Data to monitor stock levels, pricing changes, and demand patterns, allowing for better inventory management and forecasting.

Dynamic Pricing Strategy: Retailers can optimize pricing in real time based on competitor movements and consumer demand. Extract Grocery & Gourmet Food Data to identify inflation effects, seasonal trends, and promotional pricing opportunities.

With advanced grocery price scraping techniques, businesses gain real-time market intelligence, enhancing decision-making and profitability in the competitive grocery e-commerce sector.

Amazon Fresh vs. Instacart: Pricing Strategies

While both platforms offer grocery delivery, their business models and pricing structures differ significantly. Understanding these distinctions helps assess which platform provides better value to consumers.

Amazon Fresh Pricing Model

Amazon Fresh, a subsidiary of Amazon, integrates directly with Amazon Prime. The following factors influence the pricing structure:

Subscription Model: Amazon Prime members receive free delivery on orders above a specific threshold.

Own Inventory: Unlike Instacart, Amazon Fresh controls its supply chain, allowing better price stabilization.

Private Label Products: Amazon offers competitive pricing on its brand products, reducing reliance on third-party suppliers.

Dynamic Pricing: Prices fluctuate based on demand, location, and availability.

Instacart Pricing Model

Instacart operates as an intermediary between consumers and local grocery stores. Pricing on Instacart is influenced by:

Retailer Pricing Policies: Prices on Instacart often include markups compared to in-store prices.

Service Fees: Additional costs such as delivery, service, and surge fees impact total grocery costs.

Membership Benefits: Instacart+ (formerly Instacart Express) provides fee reductions for frequent users.

Retailer-Specific Promotions: Discounts and deals depend on the individual stores partnered with Instacart.

Price Comparison: Amazon Fresh vs. Instacart

To determine which platform offers better pricing, we analyze price trends for key grocery categories: fresh produce, dairy, pantry staples, and household essentials.

Fresh Produce

Due to direct sourcing, Amazon Fresh generally offers more stable pricing on fresh produce. Instacart, on the other hand, is dependent on grocery store pricing, leading to variations based on location and retailer.ProductAmazon Fresh PriceInstacart Price (Avg.)Bananas (1 lb)$0.59$0.79 - $1.29Apples (per lb)$1.99$2.49 - $3.99Avocados (each)$1.50$1.99 - $2.79

Instacart users often pay higher prices due to markups by partnered stores. However, promotions and in-store discounts may occasionally lead to better deals.

Dairy Products

Amazon Fresh frequently offers more stable pricing on dairy products, especially for private-label brands. Instacart prices depend on the retailer’s pricing strategy.ProductAmazon Fresh PriceInstacart Price (Avg.)Whole Milk (1 gallon)$4.29$4.99 - $6.99Butter (1 lb)$3.99$4.99 - $6.49Eggs (dozen)$3.49$4.29 - $5.99

Pantry Staples

Amazon Fresh often provides competitive pricing on pantry staples due to its bulk purchasing model. Instacart relies on individual retailer pricing, leading to variances.ProductAmazon Fresh PriceInstacart Price (Avg.)Rice (5 lbs)$6.99$7.99 - $10.99Pasta (16 oz)$1.49$1.99 - $2.99Peanut Butter (16 oz)$2.99$3.99 - $5.49

Household Essentials

Amazon Fresh’s pricing for household essentials is generally lower than Instacart due to bulk procurement. Instacart prices are subject to in-store pricing and fluctuations.ProductAmazon Fresh PriceInstacart Price (Avg.)Paper Towels (6 rolls)$8.99$10.99 - $14.99Dish Soap (16 oz)$2.99$3.99 - $5.49Laundry Detergent (64 oz)$10.99$12.99 - $18.99

Final Verdict: Which Platform Offers Better Pricing?

Price and value are crucial in consumers' decisions when evaluating grocery delivery services. Amazon Fresh and Instacart offer unique advantages, but their pricing structures and additional costs differ significantly.

Overall Pricing: Amazon Fresh typically offers lower grocery prices because it operates with direct control over inventory, bypassing the need for third-party retailers. By eliminating intermediaries, Amazon Fresh reduces costs and maintains consistent pricing for staple items such as fresh produce, dairy, and pantry essentials.

Markups and Fees: Instacart operates as a service that connects consumers with local grocery stores rather than selling products directly. As a result, prices on Instacart can be higher due to retailer markups. Additionally, customers may encounter extra costs, including service fees, delivery charges, and optional tips for shoppers. These factors often make Instacart the more expensive, especially for frequent grocery orders.

Discounts and Promotions: Both platforms offer discounts, but the structure varies. Amazon Fresh provides exclusive deals for Prime members, reducing costs on select items. Instacart allows customers to benefit from in-store promotions offered by partner retailers. Instacart shoppers may find better deals on certain products if a store runs significant discounts. However, this depends on the store and location, making pricing less predictable.

Availability and Variety: Instacart's strength lies in its vast retailer network, offering consumers the ability to shop from multiple grocery stores, specialty markets, and even warehouse clubs. This gives shoppers access to a wider selection, including locally sourced and niche products that may not be available on Amazon Fresh. In contrast, Amazon Fresh has a more standardized inventory, which, while comprehensive, may lack certain specialty or regional items.

Which Service is Better for Cost-Conscious Shoppers?

Amazon Fresh is generally the better option for budget-conscious consumers focused on affordability, particularly for everyday essentials and bulk purchases. Its lower prices and exclusive discounts for Prime members make it an attractive choice for those looking to minimize grocery expenses. However, for shoppers who prioritize variety, specialty items, or specific local brands, Instacart provides greater flexibility, albeit often at a higher cost.

How Product Data Scrape Can Help You?

Industry Expertise – With years of experience in data extraction, we understand the complexities of web scraping and provide reliable solutions tailored to various industries, including e-commerce, food delivery, and retail.

Real-Time & Accurate Data — Our advanced scraping techniques ensure high-accuracy real-time data collection, helping businesses make informed decisions based on the latest market trends.

Seamless Integration – We deliver structured, easy-to-use data formats that can be seamlessly integrated into your analytics platforms, dashboards, or business intelligence tools.

Flexible & Scalable Solutions – Whether you need data from a few sources or thousands of pages, our scalable scraping services grow with your business needs, efficiently handling large volumes of data.

Reliable Support & Maintenance — Our team offers continuous monitoring, troubleshooting, and updates to adapt to website changes and ensure uninterrupted data extraction for long-term success.

Conclusion

Scraping Grocery Price Data from Amazon Fresh and Instacart provides valuable insights into pricing trends, consumer habits, and cost-effective shopping strategies. Amazon Fresh stands out for affordability and stable pricing, while Instacart offers convenience and retailer variety at a potential premium. Businesses can leverage price scraping techniques to analyze competition, optimize pricing strategies, and ensure customers get the best value. As grocery e-commerce continues evolving, data-driven pricing intelligence will remain a critical tool for retailers and consumers.

At Product Data Scrape, we strongly emphasize ethical practices across all our services, including Competitor Price Monitoring and Mobile App Data Scraping. Our commitment to transparency and integrity is at the heart of everything we do. With a global presence and a focus on personalized solutions, we aim to exceed client expectations and drive success in data analytics. Our dedication to ethical principles ensures that our operations are both responsible and effective. Know More>> https://www.productdatascrape.com/scrape-grocery-prices-amazon-fresh-instacart.php