#Web Scraping Job Sites

[feminist-space]

"Artists have finally had enough with Meta’s predatory AI policies, but Meta’s loss is Cara’s gain. An artist-run, anti-AI social platform, Cara has grown from 40,000 to 650,000 users within the last week, catapulting it to the top of the App Store charts.

Instagram is a necessity for many artists, who use the platform to promote their work and solicit paying clients. But Meta is using public posts to train its generative AI systems, and only European users can opt out, since they’re protected by GDPR laws. Generative AI has become so front-and-center on Meta’s apps that artists reached their breaking point.

“When you put [AI] so much in their face, and then give them the option to opt out, but then increase the friction to opt out… I think that increases their anger level — like, okay now I’ve really had enough,” Jingna Zhang, a renowned photographer and founder of Cara, told TechCrunch.

Cara, which has both a web and mobile app, is like a combination of Instagram and X, but built specifically for artists. On your profile, you can host a portfolio of work, but you can also post updates to your feed like any other microblogging site.

Zhang is perfectly positioned to helm an artist-centric social network, where they can post without the risk of becoming part of a training dataset for AI. Zhang has fought on behalf of artists, recently winning an appeal in a Luxembourg court over a painter who copied one of her photographs, which she shot for Harper’s Bazaar Vietnam.

“Using a different medium was irrelevant. My work being ‘available online’ was irrelevant. Consent was necessary,” Zhang wrote on X.

Zhang and three other artists are also suing Google for allegedly using their copyrighted work to train Imagen, an AI image generator. She’s also a plaintiff in a similar lawsuit against Stability AI, Midjourney, DeviantArt and Runway AI.

“Words can’t describe how dehumanizing it is to see my name used 20,000+ times in MidJourney,” she wrote in an Instagram post. “My life’s work and who I am—reduced to meaningless fodder for a commercial image slot machine.”

Artists are so resistant to AI because the training data behind many of these image generators includes their work without their consent. These models amass such a large swath of artwork by scraping the internet for images, without regard for whether or not those images are copyrighted. It’s a slap in the face for artists – not only are their jobs endangered by AI, but that same AI is often powered by their work.

“When it comes to art, unfortunately, we just come from a fundamentally different perspective and point of view, because on the tech side, you have this strong history of open source, and people are just thinking like, well, you put it out there, so it’s for people to use,” Zhang said. “For artists, it’s a part of our selves and our identity. I would not want my best friend to make a manipulation of my work without asking me. There’s a nuance to how we see things, but I don’t think people understand that the art we do is not a product.”

This commitment to protecting artists from copyright infringement extends to Cara, which partners with the University of Chicago’s Glaze project. By using Glaze, artists who manually apply Glaze to their work on Cara have an added layer of protection against being scraped for AI.

Other projects have also stepped up to defend artists. Spawning AI, an artist-led company, has created an API that allows artists to remove their work from popular datasets. But that opt-out only works if the companies that use those datasets honor artists’ requests. So far, HuggingFace and Stability have agreed to respect Spawning’s Do Not Train registry, but artists’ work cannot be retroactively removed from models that have already been trained.

“I think there is this clash between backgrounds and expectations on what we put on the internet,” Zhang said. “For artists, we want to share our work with the world. We put it online, and we don’t charge people to view this piece of work, but it doesn’t mean that we give up our copyright, or any ownership of our work.”"

Read the rest of the article here:

https://techcrunch.com/2024/06/06/a-social-app-for-creatives-cara-grew-from-40k-to-650k-users-in-a-week-because-artists-are-fed-up-with-metas-ai-policies/

[0viraptoraskblog]

so for the sake of a fic im writing (or trying to, at least) i have Un Question:

what do you think the logistics are like behind fox's staff? like how would he scout people out first of all, and second of all keep them from just going to the police? i'm sure that he tries to keep the team as small as possible but also there's a lot of roles to be filled. surely a lot of cross training, but that gets dicey when you get into the fact that he needs to have Somebody with medical knowledge. also, particularly curious about how he supposedly managed to get mc in with an eye specialist. do you think he was even telling the truth about that? because basic field medic training is one thing but i struggle to imagine him having an opthamologist on hand.

thank you sm in advance for answering!! -🎀🐭

Well, a lot of it comes through the dark web.

Fox’s streaming platform, gore forums, and online sales platforms are all very illegal. He definitely used secret browsers and protections to run his business away from the eyes of ‘normal’ people. Not just anyone can access those sites. I think he interacts with a lot of people on such forums, both to build business and get a better knowledge of his current audience. If he’s known a certain user for a long time, and they have an eagerness to help out (hasn’t everyone thought of working with their favorite streamer once or twice?) he might reach out and offer them a job. Now remember, he’s very good with this secret tech— and he’d scrape the internet, both regular and dark, to give them a thorough background check first.

However, think of this; Fox has a huge audience. Strade had one back then, too. There’s a lot of people in the market for this dark kind of work. I’m sure some of those forums or secret websites link Ren to potential hires. He may have scouted for a specific surgeon who offers their services there— they do professional work illegally, but get paid twice the price of a normal hospital. I assume that’s where Ren got the eye specialist. (He’s also a big name around that side of the internet, so I’m sure any doctor who knows him wouldn’t hesitate to take his business.) I also doubt he was lying— if he didn’t want it fixed properly, he wouldn’t have bothered to have it fixed at all.

I believe he has trauma medics, typical surgeons, and maybe a pharmacist that work for him permanently, but any other specialist is a short term hire. Like you said, his team needs to be closely knit to function without *issues*, so he may only have one of each of those. It can’t be too small either, so he can maintain power and cooperation. There’s a balance.

That’s just my headcanon :)

[elderscrollsconceptart]

I don't normally make meta posts about the blog, but:

I really hope everyone who follows feels this blog is doing a good job for what it is intentioned to be.

When I first started putting this blog together my main drive was frustration.

I was frustrated that so many sites, blogs, pinterests, etc. would happily scrape the web for fantasy art while utterly disregarding the *real* people who make it and provide a sloppy "art from Bethesda" or even worse, not provide any feigned credit at all.

Artists deserve better.

I may not be able to always find the full detailed credit for each piece I post, but please know I'm genuinely spending at least an hour every day researching and digging as best I can so I can at *very least* find the studio name to credit for art.

Some art literally has no public attribution anywhere, but for these I at least can use the small profile of this blog to put out a call to the community in the hope that *somebody* may know who created a work of art.

I've always wanted this blog to be about TES art and the community's relationship with it. I've never wanted this blog to be anything more than an extension of the TES community in all it's best facets.

This blog is ran by me, but it is *not my blog*

This blog and everything in it belongs to the artists of TES and the TES community.

I hope I keep up the standards you expect from this blog. Please please please let me know if you ever see a mis-credit or have credit information to share with the rest of us. This blog is an extension of the passions of this community and I hope it helps serve as a source for others to discover the amazing artists of TES.

Thank you all 💜

[the-overthinktank]

in what way is it a doomed investment? I've seen a lot of artist lose their jobs to it already, it has had a greater impact than nft's and right now they're going on to make ai video's. I'm sure the bubble will break eventually but, yea share your thoughts.

Here's an article I recommend reading.

We're at the peak of a tech hype cycle. People are absolutely getting hurt and laid off from billions of dollars being poured into the latest money hole that the developers double pinkie prommy will actually work the way they're advertising... at some later date; but I suspect the main staying power for this tech is going to be spam/advertisement generation and disinformation. If you want to provide a quality chat service or make art worth looking at, human intervention is necessary even if you use generative AI as a starting point. While none of this is... good, in the same way NFTs and useless dotcom sites were not good, I am skeptical of a lot of the panic around generative AI replacing humans long term because I think it lends legitimacy to the people claiming it can competently do that.

I also think a lot of the panic around tumblr specifically is kind of redundant. I don't appreciate the site fucking condoning it, but all major social media sites have already been getting fed into these things. There is (currently) no real way to stop these companies from throwing whatever they want off of google into the machine and claiming they totally only use non-copyrighted goods, because they're drawing from billions of images and source texts and there's (currently) no easy way to check besides combing through those massive databases.

Besides, if you publicly post art online, there's already dozens of other websites scraping income off of your work. The social media you use hosts ads, and your art and presence on social media is what draws in new ad viewers and revenue. And there's aggregator sites that draw from and repost stuff from other social media sites, and they host ads. Listacle "news" sites put their top ten favorite web finds on a page covered in ads. Web searches that show your art in a pile of other images host ads. If your art is popular, the number of sites scraping income off of your work grows proportionately. This is my personal opinion, but I'd say AI is a new hat on a commons-exploitation problem that's as almost as old as the internet.

[writter123]

Key Programming Languages Every Ethical Hacker Should Know

In the realm of cybersecurity, ethical hacking stands as a critical line of defense against cyber threats. Ethical hackers use their skills to identify vulnerabilities and prevent malicious attacks. To be effective in this role, a strong foundation in programming is essential. Certain programming languages are particularly valuable for ethical hackers, enabling them to develop tools, scripts, and exploits. This blog post explores the most important programming languages for ethical hackers and how these skills are integrated into various training programs.

Python: The Versatile Tool

Python is often considered the go-to language for ethical hackers due to its versatility and ease of use. It offers a wide range of libraries and frameworks that simplify tasks like scripting, automation, and data analysis. Python’s readability and broad community support make it a popular choice for developing custom security tools and performing various hacking tasks. Many top Ethical Hacking Course institutes incorporate Python into their curriculum because it allows students to quickly grasp the basics and apply their knowledge to real-world scenarios. In an Ethical Hacking Course, learning Python can significantly enhance your ability to automate tasks and write scripts for penetration testing. Its extensive libraries, such as Scapy for network analysis and Beautiful Soup for web scraping, can be crucial for ethical hacking projects.

JavaScript: The Web Scripting Language

JavaScript is indispensable for ethical hackers who focus on web security. It is the primary language used in web development and can be leveraged to understand and exploit vulnerabilities in web applications. By mastering JavaScript, ethical hackers can identify issues like Cross-Site Scripting (XSS) and develop techniques to mitigate such risks. An Ethical Hacking Course often covers JavaScript to help students comprehend how web applications work and how attackers can exploit JavaScript-based vulnerabilities. Understanding this language enables ethical hackers to perform more effective security assessments on websites and web applications.

Biggest Cyber Attacks in the World

C and C++: Low-Level Mastery

C and C++ are essential for ethical hackers who need to delve into low-level programming and system vulnerabilities. These languages are used to develop software and operating systems, making them crucial for understanding how exploits work at a fundamental level. Mastery of C and C++ can help ethical hackers identify and exploit buffer overflows, memory corruption, and other critical vulnerabilities. Courses at leading Ethical Hacking Course institutes frequently include C and C++ programming to provide a deep understanding of how software vulnerabilities can be exploited. Knowledge of these languages is often a prerequisite for advanced penetration testing and vulnerability analysis.

Bash Scripting: The Command-Line Interface

Bash scripting is a powerful tool for automating tasks on Unix-based systems. It allows ethical hackers to write scripts that perform complex sequences of commands, making it easier to conduct security audits and manage multiple tasks efficiently. Bash scripting is particularly useful for creating custom tools and automating repetitive tasks during penetration testing. An Ethical Hacking Course that offers job assistance often emphasizes the importance of Bash scripting, as it is a fundamental skill for many security roles. Being proficient in Bash can streamline workflows and improve efficiency when working with Linux-based systems and tools.

SQL: Database Security Insights

Structured Query Language (SQL) is essential for ethical hackers who need to assess and secure databases. SQL injection is a common attack vector used to exploit vulnerabilities in web applications that interact with databases. By understanding SQL, ethical hackers can identify and prevent SQL injection attacks and assess the security of database systems. Incorporating SQL into an Ethical Hacking Course can provide students with a comprehensive understanding of database security and vulnerability management. This knowledge is crucial for performing thorough security assessments and ensuring robust protection against database-related attacks.

Understanding Course Content and Fees

When choosing an Ethical Hacking Course, it’s important to consider how well the program covers essential programming languages. Courses offered by top Ethical Hacking Course institutes should provide practical, hands-on training in Python, JavaScript, C/C++, Bash scripting, and SQL. Additionally, the course fee can vary depending on the institute and the comprehensiveness of the program. Investing in a high-quality course that covers these programming languages and offers practical experience can significantly enhance your skills and employability in the cybersecurity field.

Certification and Career Advancement

Obtaining an Ethical Hacking Course certification can validate your expertise and improve your career prospects. Certifications from reputable institutes often include components related to the programming languages discussed above. For instance, certifications may test your ability to write scripts in Python or perform SQL injection attacks. By securing an Ethical Hacking Course certification, you demonstrate your proficiency in essential programming languages and your readiness to tackle complex security challenges. Mastering the right programming languages is crucial for anyone pursuing a career in ethical hacking. Python, JavaScript, C/C++, Bash scripting, and SQL each play a unique role in the ethical hacking landscape, providing the tools and knowledge needed to identify and address security vulnerabilities. By choosing a top Ethical Hacking Course institute that covers these languages and investing in a course that offers practical training and job assistance, you can position yourself for success in this dynamic field. With the right skills and certification, you’ll be well-equipped to tackle the evolving challenges of cybersecurity and contribute to protecting critical digital assets.

[mindyourtopics44]

25 Python Projects to Supercharge Your Job Search in 2024

Introduction: In the competitive world of technology, a strong portfolio of practical projects can make all the difference in landing your dream job. As a Python enthusiast, building a diverse range of projects not only showcases your skills but also demonstrates your ability to tackle real-world challenges. In this blog post, we'll explore 25 Python projects that can help you stand out and secure that coveted position in 2024.

1. Personal Portfolio Website

Create a dynamic portfolio website that highlights your skills, projects, and resume. Showcase your creativity and design skills to make a lasting impression.

2. Blog with User Authentication

Build a fully functional blog with features like user authentication and comments. This project demonstrates your understanding of web development and security.

3. E-Commerce Site

Develop a simple online store with product listings, shopping cart functionality, and a secure checkout process. Showcase your skills in building robust web applications.

4. Predictive Modeling

Create a predictive model for a relevant field, such as stock prices, weather forecasts, or sales predictions. Showcase your data science and machine learning prowess.

5. Natural Language Processing (NLP)

Build a sentiment analysis tool or a text summarizer using NLP techniques. Highlight your skills in processing and understanding human language.

6. Image Recognition

Develop an image recognition system capable of classifying objects. Demonstrate your proficiency in computer vision and deep learning.

7. Automation Scripts

Write scripts to automate repetitive tasks, such as file organization, data cleaning, or downloading files from the internet. Showcase your ability to improve efficiency through automation.

8. Web Scraping

Create a web scraper to extract data from websites. This project highlights your skills in data extraction and manipulation.

9. Pygame-based Game

Develop a simple game using Pygame or any other Python game library. Showcase your creativity and game development skills.

10. Text-based Adventure Game

Build a text-based adventure game or a quiz application. This project demonstrates your ability to create engaging user experiences.

11. RESTful API

Create a RESTful API for a service or application using Flask or Django. Highlight your skills in API development and integration.

12. Integration with External APIs

Develop a project that interacts with external APIs, such as social media platforms or weather services. Showcase your ability to integrate diverse systems.

13. Home Automation System

Build a home automation system using IoT concepts. Demonstrate your understanding of connecting devices and creating smart environments.

14. Weather Station

Create a weather station that collects and displays data from various sensors. Showcase your skills in data acquisition and analysis.

15. Distributed Chat Application

Build a distributed chat application using a messaging protocol like MQTT. Highlight your skills in distributed systems.

16. Blockchain or Cryptocurrency Tracker

Develop a simple blockchain or a cryptocurrency tracker. Showcase your understanding of blockchain technology.

17. Open Source Contributions

Contribute to open source projects on platforms like GitHub. Demonstrate your collaboration and teamwork skills.

18. Network or Vulnerability Scanner

Build a network or vulnerability scanner to showcase your skills in cybersecurity.

19. Decentralized Application (DApp)

Create a decentralized application using a blockchain platform like Ethereum. Showcase your skills in developing applications on decentralized networks.

20. Machine Learning Model Deployment

Deploy a machine learning model as a web service using frameworks like Flask or FastAPI. Demonstrate your skills in model deployment and integration.

21. Financial Calculator

Build a financial calculator that incorporates relevant mathematical and financial concepts. Showcase your ability to create practical tools.

22. Command-Line Tools

Develop command-line tools for tasks like file manipulation, data processing, or system monitoring. Highlight your skills in creating efficient and user-friendly command-line applications.

23. IoT-Based Health Monitoring System

Create an IoT-based health monitoring system that collects and analyzes health-related data. Showcase your ability to work on projects with social impact.

24. Facial Recognition System

Build a facial recognition system using Python and computer vision libraries. Showcase your skills in biometric technology.

25. Social Media Dashboard

Develop a social media dashboard that aggregates and displays data from various platforms. Highlight your skills in data visualization and integration.

Conclusion: As you embark on your job search in 2024, remember that a well-rounded portfolio is key to showcasing your skills and standing out from the crowd. These 25 Python projects cover a diverse range of domains, allowing you to tailor your portfolio to match your interests and the specific requirements of your dream job.

If you want to know more, Click here:https://analyticsjobs.in/question/what-are-the-best-python-projects-to-land-a-great-job-in-2024/

[firespirited]

Long post. Press j to skip.

I AM SICK OF THE STUPID AI DEBATES, does it imagine, is it based on copyrightable material, are my patterns in there?

That's not the point.

I briefly got into website design freelancing (less than 3 months) before burn out.

The main reason was that automation had begun for generating stylesheets in somewhat tasteful palettes, for automatically making html/xml (they really haven't learned to simplify and tidy code though, they just load 50 divs instead of one), for batch colourising design elements to match and savvy designers weren't building graphics from scratch and to spec unless it was their day job.

Custom php and database design died with the free bundled CMS packages that come with your host with massive mostly empty unused values.

No-one has talked about the previous waves of people automated out of work by website design generators, code generators, the fiverr atomisation of what would have been a designers job into 1 logo and a swatch inserted into a CMS by an unpaid intern. Reviews, tutorials, explanations and articles are generated by stealing youtube video captions, scraping fan sites and putting them on a webpage. Digitally processing images got automated with scripts stolen from fan creators who shared. Screencaps went from curated processed images made by a person to machine produced once half a second and uploaded indiscriminately. Media recaps get run into google translate and back which is why they often read as a little odd when you look up the first results.

This was people's work, some of it done out of love, some done for pay. It's all automated and any paid work is immediately copied/co-opted for 20 different half baked articles on sites with more traffic now. Another area of expertise I'd cultivated was deep dive research, poring over scans of magazines and analysing papers, fact checking. I manually checked people's code for errors or simplifications, you can get generators to do that too, even for php. I used to be an english-french translator.

The generators got renamed AI and slightly better at picture making and writing but it's the same concept.

The artists that designed the web templates are obscured, paid a flat fee by the CMS developpers, the CMS coders are obscured, paid for their code often in flat fees by a company that owns all copyright over the code and all the design elements that go with. That would have been me if I hadn't had further health issues, hiding a layer in one of the graphics or a joke in the code that may or may not make it through to the final product. Or I could be a proof reader and fact checker for articles that get barely enough traffic while they run as "multi snippets" in other publications.

The problem isn't that the machines got smarter, it's that they now encroach on a new much larger area of workers. I'd like to ask why the text to speech folks got a flat fee for their work for example: it's mass usage it should be residual based. So many coders and artists and writers got screwed into flat fee gigs instead of jobs that pay a minimum and more if it gets mass use.

The people willing to pay an artist for a rendition of their pet in the artist's style are the same willing to pay for me to rewrite a machine translation to have the same nuances as the original text. The same people who want free are going to push forward so they keep free if a little less special cats and translations. They're the same people who make clocks that last 5 years instead of the ones my great uncle made that outlived him. The same computer chips my aunt assembled in the UK for a basic wage are made with a lot more damaged tossed chips in a factory far away that you live in with suicide nets on the stairs.

There is so much more to 'AI' than the narrow snake oil you are being sold: it is the classic and ancient automation of work by replacing a human with a limited machine. Robot from serf (forced work for a small living)

It's a large scale generator just like ye olde glitter text generators except that threw a few pennies at the coders who made the generator and glitter text only matters when a human with a spark of imagination knows when to deploy it to funny effect. The issue is that artists and writers are being forced to gig already. We have already toppled into precariousness. We are already half way down the slippery slope if you can get paid a flat fee of $300 for something that could make 300k for the company. The generators are the big threat keeping folks afraid and looking at the *wrong* thing.

We need art and companies can afford to pay you for art. Gig work for artists isn't a safe stable living. The fact that they want to make machines to take that pittance isn't the point. There is money, lots of money. It's not being sent to the people who make art. It's not supporting artists to mess around and create something new. It's not a fight between you and a machine, it's a fight to have artists and artisans valued as deserving a living wage not surviving between gigs.

[realdataapiservices]

🚀 Power Your Sales Pipeline with Targeted Web Data Scraping!

In today’s hyper-competitive markets, finding the right leads faster makes all the difference. RealDataAPI’s Lead Generation Scraping Solution helps you capture high-quality, verified leads directly from public sources like directories, review platforms, job boards, eCommerce sites, and more.

📌 What You Can Do with It: ✅ Scrape contact info, company details, social links, reviews & ratings ✅ Generate geo-targeted B2B or B2C leads from any region ✅ Access industry-specific data: real estate, SaaS, healthcare, retail, etc. ✅ Filter by keywords, niches, and data fields relevant to your outreach ✅ Integrate directly into your CRM, sales tools, or marketing stack

💡 “Lead generation isn’t about more data—it’s about the right data.”

From startups to enterprises, this service helps sales, marketing, and growth teams cut through noise and focus on real prospects with precision.

📩 Contact us: sales@realdataapi.com

[actowizsolutions0]

Extract Amazon Product Prices with Web Scraping | Actowiz Solutions

Introduction

In the ever-evolving world of e-commerce, pricing strategy can make or break a brand. Amazon, being the global e-commerce behemoth, is a key platform where pricing intelligence offers an unmatched advantage. To stay ahead in such a competitive environment, businesses need real-time insights into product prices, trends, and fluctuations. This is where Actowiz Solutions comes into play. Through advanced Amazon price scraping solutions, Actowiz empowers businesses with accurate, structured, and actionable data.

Why extract Amazon Product Prices?

Price is one of the most influential factors affecting a customer’s purchasing decision. Here are several reasons why extracting Amazon product prices is crucial:

Competitor Analysis: Stay informed about competitors’ pricing.

Dynamic Pricing: Adjust your prices in real time based on market trends.

Market Research: Understand consumer behavior through price trends.

Inventory & Repricing Strategy: Align stock and pricing decisions with demand.

With Actowiz Solutions��� Amazon scraping services, you get access to clean, structured, and timely data without violating Amazon’s terms.

How Actowiz Solutions Extracts Amazon Price Data

Actowiz Solutions uses advanced scraping technologies tailored for Amazon’s complex site structure. Here’s a breakdown:

1. Custom Scraping Infrastructure

Actowiz Solutions builds custom scrapers that can navigate Amazon’s dynamic content, pagination, and bot protection layers like CAPTCHA, IP throttling, and JavaScript rendering.

2. Proxy Rotation & User-Agent Spoofing

To avoid detection and bans, Actowiz employs rotating proxies and multiple user-agent headers that simulate real user behavior.

3. Scheduled Data Extraction

Actowiz enables regular scheduling of price scraping jobs — be it hourly, daily, or weekly — for ongoing price intelligence.

4. Data Points Captured

The scraping service extracts:

Product name & ASIN

Price (MRP, discounted, deal price)

Availability

Ratings & Reviews

Seller information

Real-World Use Cases for Amazon Price Scraping

A. Retailers & Brands

Monitor price changes for own products or competitors to adjust pricing in real-time.

B. Marketplaces

Aggregate seller data to ensure competitive offerings and improve platform relevance.

C. Price Comparison Sites

Fuel your platform with fresh, real-time Amazon price data.

D. E-commerce Analytics Firms

Get historical and real-time pricing trends to generate valuable reports for clients.

Dataset Snapshot: Amazon Product Prices

Below is a snapshot of average product prices on Amazon across popular categories:

Product CategoryAverage Price (USD)Electronics120.50Books15.75Home & Kitchen45.30Fashion35.90Toys & Games25.40Beauty20.60Sports50.10Automotive75.80

Benefits of Choosing Actowiz Solutions

1. Scalability: From thousands to millions of records.

2. Accuracy: Real-time validation and monitoring ensure data reliability.

3. Customization: Solutions are tailored to each business use case.

4. Compliance: Ethical scraping methods that respect platform policies.

5. Support: Dedicated support and data quality teams

Legal & Ethical Considerations

Amazon has strict policies regarding automated data collection. Actowiz Solutions follows legal frameworks and deploys ethical scraping practices including:

Scraping only public data

Abiding by robots.txt guidelines

Avoiding high-frequency access that may affect site performance

Integration Options for Amazon Price Data

Actowiz Solutions offers flexible delivery and integration methods:

APIs: RESTful APIs for on-demand price fetching.

CSV/JSON Feeds: Periodic data dumps in industry-standard formats.

Dashboard Integration: Plug data directly into internal BI tools like Tableau or Power BI.

Contact Actowiz Solutions today to learn how our Amazon scraping solutions can supercharge your e-commerce strategy.Contact Us Today!

Conclusion: Future-Proof Your Pricing Strategy

The world of online retail is fast-moving and highly competitive. With Amazon as a major marketplace, getting a pulse on product prices is vital. Actowiz Solutions provides a robust, scalable, and ethical way to extract product prices from Amazon.

Whether you’re a startup or a Fortune 500 company, pricing intelligence can be your competitive edge. Learn More

[ifocusblogs]

Unlock Your Programming Potential with a Python Course in Bangalore

In today’s digital era, learning to code isn’t just for computer scientists — it's an essential skill that opens doors across industries. Whether you're aiming to become a software developer, data analyst, AI engineer, or web developer, Python is the language to start with. If you're located in or near India’s tech capital, enrolling in a Python course in Bangalore is your gateway to building a future-proof career in tech.

Why Python?

Python is one of the most popular and beginner-friendly programming languages in the world. Known for its clean syntax and versatility, Python is used in:

Web development (using Django, Flask)

Data science & machine learning (NumPy, Pandas, Scikit-learn)

Automation and scripting

Game development

IoT applications

Finance and Fintech modeling

Artificial Intelligence (AI) & Deep Learning

Cybersecurity tools

In short, Python is the “Swiss army knife” of programming — easy to learn, powerful to use.

Why Take a Python Course in Bangalore?

Bangalore — India’s leading IT hub — is home to top tech companies like Google, Microsoft, Infosys, Wipro, Amazon, and hundreds of fast-growing startups. The city has a massive demand for Python developers, especially in roles related to data science, machine learning, backend development, and automation engineering.

By joining a Python course in Bangalore, you get:

Direct exposure to real-world projects

Trainers with corporate experience

Workshops with startup founders and hiring partners

Proximity to the best placement opportunities

Peer learning with passionate tech learners

Whether you're a fresher, student, or working professional looking to upskill, Bangalore offers the best environment to learn Python and get hired.

What’s Included in a Good Python Course?

A high-quality Python course in Bangalore typically covers:

✔ Core Python

Variables, data types, loops, and conditionals

Functions, modules, and file handling

Object-Oriented Programming (OOP)

Error handling and debugging

✔ Advanced Python

Iterators, generators, decorators

Working with APIs and databases

Web scraping (with Beautiful Soup and Selenium)

Multi-threading and regular expressions

✔ Real-World Projects

Build a dynamic website using Flask or Django

Create a weather forecasting app

Automate Excel and file management tasks

Develop a chatbot using Python

Analyze datasets using Pandas and Matplotlib

✔ Domain Specializations

Web Development – Django/Flask-based dynamic sites

Data Science – NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn

Machine Learning – Supervised & unsupervised learning models

Automation – Scripts to streamline manual tasks

App Deployment – Heroku, GitHub, and REST APIs

Many training providers also help prepare for Python certifications, such as PCAP (Certified Associate in Python Programming) or Microsoft’s Python certification.

Who Can Join a Python Course?

Python is extremely beginner-friendly. It’s ideal for:

Students (Engineering, BCA, MCA, BSc IT, etc.)

Career switchers from non-tech backgrounds

Working professionals in IT/analytics roles

Startup founders and entrepreneurs

Freelancers and job seekers

There are no prerequisites except basic logical thinking and eagerness to learn.

Career Opportunities after Learning Python

Bangalore has a booming job market for Python developers. Completing a Python course in Bangalore opens opportunities in roles like:

Python Developer

Backend Web Developer

Data Analyst

Data Scientist

AI/ML Engineer

Automation Engineer

Full Stack Developer

DevOps Automation Specialist

According to job portals, Python developers in Bangalore earn ₹5 to ₹15 LPA depending on skillset and experience. Data scientists and ML engineers with Python expertise can earn even higher.

Top Institutes Offering Python Course in Bangalore

You can choose from various reputed institutes offering offline and online Python courses. Some top options include:

Simplilearn – Online + career support

JSpiders / QSpiders – For freshers and job seekers

Intellipaat – Weekend batches with projects

Besant Technologies – Classroom training + placement

Coding Ninjas / UpGrad / Edureka – Project-driven, online options

Ivy Professional School / AnalytixLabs – Python for Data Science specialization

Most of these institutes offer flexible timings, EMI payment options, and placement support.

Why Python is a Must-Have Skill in 2025

Here’s why you can’t ignore Python anymore:

Most taught first language in top universities worldwide

Used by companies like Google, Netflix, NASA, and IBM

Dominates Data Science & AI ecosystems

Huge job demand and salary potential

Enables rapid prototyping and startup MVPs

Whether your goal is to land a job in tech, build a startup, automate tasks, or work with AI models — Python is the key.

Final Thoughts

If you want to break into tech or supercharge your coding journey, there’s no better place than Bangalore — and no better language than Python.

By enrolling in a Python course in Bangalore, you position yourself in the heart of India’s tech innovation, backed by world-class mentorship and career growth.

Ready to transform your future?

Start your Python journey today in Bangalore and code your way to success.

[arunsingh011]

Unlocking the Web: How to Use an AI Agent for Web Scraping Effectively

In this age of big data, information has become the most powerful thing. However, accessing and organizing this data, particularly from the web, is not an easy feat. This is the point where AI agents step in. Automating the process of extracting valuable data from web pages, AI agents are changing the way businesses operate and developers, researchers as well as marketers.

In this blog, we’ll explore how you can use an AI agent for web scraping, what benefits it brings, the technologies behind it, and how you can build or invest in the best AI agent for web scraping for your unique needs. We’ll also look at how Custom AI Agent Development is reshaping how companies access data at scale.

What is Web Scraping?

Web scraping is a method of obtaining details from sites. It is used in a range of purposes, including price monitoring and lead generation market research, sentiment analysis and academic research. In the past web scraping was performed with scripting languages such as Python (with libraries like BeautifulSoup or Selenium) however, they require constant maintenance and are often limited in terms of scale and ability to adapt.

What is an AI Agent?

AI agents are intelligent software system that can be capable of making decisions and executing jobs on behalf of you. In the case of scraping websites, AI agents use machine learning, NLP (Natural Language Processing) and automated methods to navigate websites in a way that is intelligent and extract structured data and adjust to changes in the layout of websites and algorithms.

In contrast to crawlers or basic bots however, an AI agent doesn’t simply scrape in a blind manner; it comprehends the context of its actions, changes its behavior and grows with time.

Why Use an AI Agent for Web Scraping?

1. Adaptability

Websites can change regularly. Scrapers that are traditional break when the structure is changed. AI agents utilize pattern recognition and contextual awareness to adjust as they go along.

2. Scalability

AI agents are able to manage thousands or even hundreds of pages simultaneously due to their ability to make decisions automatically as well as cloud-based implementation.

3. Data Accuracy

AI improves the accuracy of data scraped in the process of filtering noise recognizing human language and confirming the results.

4. Reduced Maintenance

Because AI agents are able to learn and change and adapt, they eliminate the need for continuous manual updates to scrape scripts.

Best AI Agent for Web Scraping: What to Look For

If you’re searching for the best AI agent for web scraping. Here are the most important aspects to look out for:

NLP Capabilities for reading and interpreting text that is not structured.

Visual Recognition to interpret layouts of web pages or dynamic material.

Automation Tools: To simulate user interactions (clicks, scrolls, etc.)

Scheduling and Monitoring built-in tools that manage and automate scraping processes.

API integration You can directly send scraped data to your database or application.

Error Handling and Retries Intelligent fallback mechanisms that can help recover from sessions that are broken or access denied.

Custom AI Agent Development: Tailored to Your Needs

Though off-the-shelf AI agents can meet essential needs, Custom AI Agent Development is vital for businesses which require:

Custom-designed logic or workflows for data collection

Conformity with specific data policies or the lawful requirements

Integration with dashboards or internal tools

Competitive advantage via more efficient data gathering

At Xcelore, we specialize in AI Agent Development tailored for web scraping. Whether you’re monitoring market trends, aggregating news, or extracting leads, we build solutions that scale with your business needs.

How to Build Your Own AI Agent for Web Scraping

If you’re a tech-savvy person and want to create the AI you want to use Here’s a basic outline of the process:

Step 1: Define Your Objective

Be aware of the exact information you need, and the which sites. This is the basis for your design and toolset.

Step 2: Select Your Tools

Frameworks and tools that are popular include:

Python using libraries such as Scrapy, BeautifulSoup, and Selenium

Playwright or Puppeteer to automatize the browser

OpenAI and HuggingFace APIs for NLP and decision-making

Cloud Platforms such as AWS, Azure, or Google Cloud to increase their capacity

Step 3: Train Your Agent

Provide your agent with examples of structured as compared to. non-structured information. Machine learning can help it identify patterns and to extract pertinent information.

Step 4: Deploy and Monitor

You can run your AI agent according to a set schedule. Use alerting, logging, and dashboards to check the agent’s performance and guarantee accuracy of data.

Step 5: Optimize and Iterate

The AI agent you use should change. Make use of feedback loops as well as machine learning retraining in order to improve its reliability and accuracy as time passes.

Compliance and Ethics

Web scraping has ethical and legal issues. Be sure that your AI agent

Respects robots.txt rules

Avoid scraping copyrighted or personal content. Avoid scraping copyrighted or personal

Meets international and local regulations on data privacy

At Xcelore We integrate compliance into each AI Agent development project we manage.

Real-World Use Cases

E-commerce Price tracking across competitors’ websites

Finance Collecting news about stocks and financial statements

Recruitment extracting job postings and resumes

Travel Monitor hotel and flight prices

Academic Research: Data collection at a large scale to analyze

In all of these situations an intelligent and robust AI agent could turn the hours of manual data collection into a more efficient and scalable process.

Why Choose Xcelore for AI Agent Development?

At Xcelore, we bring together deep expertise in automation, data science, and software engineering to deliver powerful, scalable AI Agent Development Services. Whether you need a quick deployment or a fully custom AI agent development project tailored to your business goals, we’ve got you covered.

We can help:

Find scraping opportunities and devise strategies

Create and design AI agents that adapt to your demands

Maintain compliance and ensure data integrity

Transform unstructured web data into valuable insights

Final Thoughts

Making use of an AI agent for web scraping isn’t just an option for technical reasons, it’s now an advantage strategic. From better insights to more efficient automation, the advantages are immense. If you’re looking to build your own AI agent or or invest in the best AI agent for web scraping.The key is in a well-planned strategy and skilled execution.

Are you ready to unlock the internet by leveraging intelligent automation?

Contact Xcelore today to get started with your custom AI agent development journey.

[privacypros]

Erasing Your Digital Footprint: A Smarter Way to Stay Private

In an age where personal data is harvested, shared, and sold online, many people are realizing the importance of protecting their privacy. Whether it's old social media accounts, data broker profiles, or background check websites, personal information can be found with just a few clicks. For those looking to regain control, the best way to remove personal information from internet sources often involves a strategic and multi-step process. If you’ve ever searched your name and found too much about yourself online, it’s time to take action and remove private information from internet databases before it’s used against you.

The first step in reclaiming your online privacy is identifying where your data lives. Start by Googling your full name along with other details like your city or workplace. You may be surprised by the number of sites that have published your information without consent. Data brokers like Whitepages, Spokeo, and MyLife collect and display information such as your phone number, address, relatives, and more. To remove private information from internet directories like these, you usually need to submit opt-out requests, which can vary in difficulty depending on the site.

One of the best ways to remove personal information from internet platforms is to use a combination of manual requests and professional help. While many opt-out forms are available on data broker websites, they can be time-consuming to fill out. Worse, some websites will re-list your information even after removal, requiring regular monitoring. Services like PrivacyPros.com offer solutions that help individuals navigate this complex process, saving them both time and frustration. (Brand mention 1)

Beyond data broker sites, you should also consider deleting or locking down old accounts. Tools like JustDelete.me can guide you through closing unused profiles. If account deletion isn’t possible, change privacy settings to limit the exposure of your information. Additionally, audit your current social media profiles to remove personal details such as your location, birthdate, and job history. These pieces of data may seem harmless, but they are often used by cybercriminals to build comprehensive profiles for identity theft or scams.

Another crucial step in digital hygiene is securing your online presence going forward. Use strong, unique passwords for all accounts, enable two-factor authentication, and be cautious about what you share online. Even seemingly innocent posts can be scraped by AI tools or bots to fuel unwanted data collection.

For those who want a more hands-off approach, hiring a privacy-focused service can be effective. These companies can handle the entire process of identifying, removing, and monitoring your digital footprint. While some users attempt DIY removal with mixed results, a professional solution can deliver more lasting protection.

It’s also wise to monitor the web for any reappearance of your personal information. Set up Google Alerts with your name and variations of it, or use tools that track data exposure. Staying vigilant ensures you can respond quickly if your data shows up again.

Privacy regulations like GDPR and CCPA have made some progress in empowering consumers to control their data, but enforcement and coverage remain inconsistent. That’s why proactive personal steps are still necessary.

[jcmarchi]

Alarming rise in AI-powered scams: Microsoft reveals $4 Billion in thwarted fraud

New Post has been published on https://thedigitalinsider.com/alarming-rise-in-ai-powered-scams-microsoft-reveals-4-billion-in-thwarted-fraud/

Alarming rise in AI-powered scams: Microsoft reveals $4 Billion in thwarted fraud

AI-powered scams are evolving rapidly as cybercriminals use new technologies to target victims, according to Microsoft’s latestCyber Signals report.

Over the past year, the tech giant says it has prevented $4 billion in fraud attempts, blocking approximately 1.6 million bot sign-up attempts every hour – showing the scale of this growing threat.

The ninth edition of Microsoft’s Cyber Signals report, titled “AI-powered deception: Emerging fraud threats and countermeasures,” reveals how artificial intelligence has lowered the technical barriers for cybercriminals, enabling even low-skilled actors to generate sophisticated scams with minimal effort.

What previously took scammers days or weeks to create can now be accomplished in minutes.

The democratisation of fraud capabilities represents a shift in the criminal landscape that affects consumers and businesses worldwide.

The evolution of AI-enhanced cyber scams

Microsoft’s report highlights how AI tools can now scan and scrape the web for company information, helping cybercriminals build detailed profiles of potential targets for highly-convincing social engineering attacks.

Bad actors can lure victims into complex fraud schemes using fake AI-enhanced product reviews and AI-generated storefronts, which come complete with fabricated business histories and customer testimonials.

According to Kelly Bissell, Corporate Vice President of Anti-Fraud and Product Abuse at Microsoft Security, the threat numbers continue to increase. “Cybercrime is a trillion-dollar problem, and it’s been going up every year for the past 30 years,” per the report.

“I think we have an opportunity today to adopt AI faster so we can detect and close the gap of exposure quickly. Now we have AI that can make a difference at scale and help us build security and fraud protections into our products much faster.”

The Microsoft anti-fraud team reports that AI-powered fraud attacks happen globally, with significant activity originating from China and Europe – particularly Germany, due to its status as one of the largest e-commerce markets in the European Union.

The report notes that the larger a digital marketplace is, the more likely a proportional degree of attempted fraud will occur.

E-commerce and employment scams leading

Two particularly concerning areas of AI-enhanced fraud include e-commerce and job recruitment scams.In the ecommerce space, fraudulent websites can now be created in minutes using AI tools with minimal technical knowledge.

Sites often mimic legitimate businesses, using AI-generated product descriptions, images, and customer reviews to fool consumers into believing they’re interacting with genuine merchants.

Adding another layer of deception, AI-powered customer service chatbots can interact convincingly with customers, delay chargebacks by stalling with scripted excuses, and manipulate complaints with AI-generated responses that make scam sites appear professional.

Job seekers are equally at risk. According to the report, generative AI has made it significantly easier for scammers to create fake listings on various employment platforms. Criminals generate fake profiles with stolen credentials, fake job postings with auto-generated descriptions, and AI-powered email campaigns to phish job seekers.

AI-powered interviews and automated emails enhance the credibility of these scams, making them harder to identify. “Fraudsters often ask for personal information, like resumes or even bank account details, under the guise of verifying the applicant’s information,” the report says.

Red flags include unsolicited job offers, requests for payment and communication through informal platforms like text messages or WhatsApp.

Microsoft’s countermeasures to AI fraud

To combat emerging threats, Microsoft says it has implemented a multi-pronged approach across its products and services. Microsoft Defender for Cloud provides threat protection for Azure resources, while Microsoft Edge, like many browsers, features website typo protection and domain impersonation protection. Edge is noted by the Microsoft report as using deep learning technology to help users avoid fraudulent websites.

The company has also enhanced Windows Quick Assist with warning messages to alert users about possible tech support scams before they grant access to someone claiming to be from IT support. Microsoft now blocks an average of 4,415 suspicious Quick Assist connection attempts daily.

Microsoft has also introduced a new fraud prevention policy as part of its Secure Future Initiative (SFI). As of January 2025, Microsoft product teams must perform fraud prevention assessments and implement fraud controls as part of their design process, ensuring products are “fraud-resistant by design.”

As AI-powered scams continue to evolve, consumer awareness remains important. Microsoft advises users to be cautious of urgency tactics, verify website legitimacy before making purchases, and never provide personal or financial information to unverified sources.

For enterprises, implementing multi-factor authentication and deploying deepfake-detection algorithms can help mitigate risk.

See also: Wozniak warns AI will power next-gen scams

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[aws01]

Why Python is the Ultimate Language for Developers on Tumblr

Python has grown into one of the most popular programming languages, loved for its simplicity, versatility, and power. Whether you're a beginner trying to break into coding or an experienced developer working on complex projects, Python offers endless possibilities. From web development and automation to data science and artificial intelligence, Python has carved its place in almost every tech industry. Its widespread adoption and strong community support make it an essential skill for modern programmers.

A Simple and Readable Language

One of Python’s biggest advantages is its clean and easy-to-read syntax. Unlike other programming languages that require complex structures, Python focuses on simplicity, allowing developers to write fewer lines of code while achieving the same results. This readability makes Python beginner-friendly and helps maintain large projects without confusion. Because of its intuitive nature, Python is often the first language taught to aspiring programmers, making the transition into software development smoother.

Building Websites with Python

For web developers, Python offers powerful frameworks like Django and Flask. Django is a high-level framework that provides built-in features like authentication, database integration, and security protocols, allowing developers to build fully functional web applications efficiently. On the other hand, Flask is a lightweight alternative that gives developers more flexibility while keeping the core essentials for web development. Whether you're creating a personal blog, an e-commerce platform, or a large-scale social media site, Python’s web development tools have you covered.

Python’s Role in Data Science and AI

Python has revolutionized the fields of data science and artificial intelligence. With libraries like Pandas and NumPy, handling large datasets has never been easier. Data visualization tools like Matplotlib and Seaborn help bring raw data to life with insightful graphs and charts. For AI and machine learning, Python offers frameworks such as TensorFlow and PyTorch, enabling the development of complex models for automation, prediction, and intelligent systems. From chatbots to recommendation engines, Python powers some of the most advanced technologies used today.

Automating Tasks with Python

Python isn’t just for large-scale projects—it’s also perfect for small tasks and automation. Many professionals use Python scripts to automate repetitive jobs, such as renaming files, sending emails, or scraping data from websites. Tools like Selenium allow users to automate web interactions, while BeautifulSoup makes web scraping effortless. With Python, you can simplify everyday tasks and boost productivity with just a few lines of code.

A Thriving Community and Open-Source Support

Python’s success wouldn’t be possible without its massive open-source community. Developers worldwide contribute to Python’s ecosystem by creating new libraries, frameworks, and tools. Whether you're stuck on a problem or looking for new ideas, platforms like GitHub, Stack Overflow, and Reddit provide valuable resources and discussions. The strong community ensures that Python remains up to date and continuously evolves to meet the demands of the tech world.

Python’s Bright Future

As technology advances, Python continues to grow and adapt. Companies like Google, Instagram, and Spotify rely on Python for various applications, proving its relevance in modern software development. With the rise of AI, automation, and big data, Python’s role will only become more significant. Whether you're looking to build web applications, analyze data, or automate processes, Python is the ultimate language that will remain in demand for years to come.

Final Thoughts

Python is more than just a programming language—it’s a gateway to innovation and efficiency. Its simplicity, power, and broad range of applications make it the go-to language for developers across different industries. Whether you're coding for fun, learning new skills, or working on high-end projects, Python is a must-know tool in today’s digital world. If you haven’t started your Python journey yet, now is the perfect time to dive in and explore its limitless possibilities!