#review data scraping service

[reviewgatorsusa]

Scrape Zomato Data to Create a Competitive-Edge in the Market

Scraping Zomato data can be a game-changer in today’s competitive world. By using our cutting-edge scraping techniques, businesses can extract valuable insights from customer feedback and gain a competitive-edge in the market. From understanding customer preferences to enhancing services, scraping Zomato data offers a wealth of data-driven advantages. Try our Zomato review data scraping service to boost your business growth and elevate new strategies.

[iwebscrapingblogs]

How Customer Review Collection Brings Profitable Results?

What is the first thing you do when you're about to purchase? Do you rely on the brand's claims or the product's features? Or do you turn to other customers' experiences, seeking their insights and opinions? Knowing the first-hand experience through customer reviews builds trust.

Now, you can transform your role as a buyer, seller, or mediator by reading a few customer reviews and having a wide range of customer review collections. The power lies in extracting data from multiple resources, understanding various factors, and leveraging this knowledge to streamline your processes and efficiently bring quality returns.

This content will equip you with secret strategies for converting customer review collection into profitable actions to ensure your business's success. We will familiarize you with web scraping customer reviews from multiple sources and how companies optimize their marketing strategies to target potential leads.

What Is Customer Reviews Collection?

Review scraping services make retrieving customer review data from various websites and platforms to analyze valuable information easy and efficient. They streamline the complete process of collecting useful information and meet your goals with data stored in a structured format, giving you the confidence to leverage this data for your business's success.

Here are the common platforms to scrape review data of customers:AmazonYelpGlassdoorTripAdvisorTrustpilotCostcoGoogle ReviewsHomedepotShopeeIKEAZaraFlipkartLowesZalandoEtsyBigbasketAlibabaAmctheatresWalmartTargetRakuteneBayBestbuyWishShein

Customer review collection can be completed using web scraping tools, programs, or scripts to extract customer reviews from the desired location. This can include various forms of data, such as product ratings, reviews, images, reviewers' names, and other information if required. Collecting and analyzing this data lets you gain insights into customer preferences, product performance, and more.

How Is Customer Reviews Collection Profitable?

They are a source of customers' experience about specific goods and products, which means you can easily understand the pros and cons. Here are some of the benefits of data for your business that can help you generate quality returns:

Understand Your Products & Services

With access to structured customer reviews, understanding the positive and negative impacts on the audience becomes more manageable. This allows you to focus on the negative section, make necessary changes, and embrace the positive ones to grow and engage more audiences, inspiring your business's success.

Scraping Competitor Reviews

It is essential to know what you are up against in the market. With a custom review data scraper, you can easily filter the data you want to gather from where and when. This gives you the freedom to examine your competitors' positives and negatives. Now, you can build strategies to fulfill customer requirements where your competitors need to improve and improve services where they excel. This will ultimately grab the attention of potential users and boost profits efficiently.

Find The Top Selling Products & Services

It is a plus point if you know the popular products and services when entering a market irrelevant to your target industry. Some common platforms to extract customer reviews for services are Yelp and TripAdvisor, while people opt for Amazon, eBay, or Flipkart for products.

With billions of users active on each platform, you can analyze data about products and services from different locations, ages, genders, and more. The review scraping services use quality tools and resources to make data extraction effortless to understand.

Improve Your Marketing & Product Strategies

The customer reviews collection helps to optimize the production description and connect with your audience. Analyzing the data extracted can help you focus on customer-centric strategies to promote your products and services.

Also, you can get valuable insights about your team to take unbiased and accurate actions to enhance your business performance. Unlike customer forms, surveys, or other media for collecting customer feedback, product reviews are organic views explaining their experience. Customer reviews are unique in that they are often more detailed and provide a broader perspective, making them a valuable source of information for businesses.

Different Methods To Extract Customer Review Data

There are various methods available to scrape customer review data from multiple resources. Let you look at some of them:

Coding with Libraries

This involves using programming languages such as HTML, XPath, Python, Java, and others, depending on expertise. Then, use custom libraries or readily available ones like Beautiful Soup and Scrapy to parse website code and extract specific elements like ratings, text, and more.

Web Scraping Tools

Many software tools are designed for web scraping customer review data. These tools offer user-friendly interfaces to target website review sections and collect data without any code.

Scraping Review APIs

Some websites offer APIs (Application Programming Interfaces) allowing authorized review data access. This provides a structured way to collect reviews faster and effortlessly.

How Does Web Scraping Work For Customer Reviews Collection?

No matter which method you pick to extract customer review data, it is essential to meet the final target. Here is a standard procedure to collect desired data from multiple websites:

Define Web Pages

Creating a list of pages you need to scrape to gather customer review data is essential. Then, we will send HTTP requests to the target website to fetch the HTML content.

Parse HTML

Our experts will parse the content using libraries after fetching it. The aim is to convert the data into a structured format that is easy to understand.

Extraction

Web scrapers find elements like images, text, links, and more through tags, attributes, or classes. They gather and store this data in a desired format.

Organizing Data

Once you have stored the data in SCV, JSON, or a database for analysis, you can structure it efficiently. Multiple libraries are available to manage data for better visualization.

What To Do With Scraped Customer Review Collection Data?

You know the different methods and reasons for extracting customer review data. We will now give you insights about what to do next after gathering data from review scraping services:

Analysis

Go through your collected data to understand customer sentiments towards a particular resource. This involves analyzing customer reviews, looking for patterns or trends, and categorizing the feedback into positive, negative, or neutral. Having a wide range of information from different locations, platforms, and customers can help you find your business's and competitors' strengths and weaknesses.

For example, you might discover that customers love a particular product feature or need clarification on a specific aspect of your service. Allows you to connect with customers and personalize their experience to boost engagement rates.

Tracking

The market changes every second, so with the help of custom review, data scraper extraction will be done in real-time. This allows you to monitor the latest trends, demands, and updates. You can also figure out your business's USPs (Unique selling points) and quickly gain customer loyalty.

For example, you have tracked the market updates regularly for a particular location for previous months. Now, you know which product is highly purchased, the peak time of orders, and more details about the customers. This can help you optimize your promotions and target the right audience to have higher chances of conversions.

Strategize

After analyzing and monitoring the data, it is time to implement strategies to scale your business. Focus on the significant segments where customer reviews and opinions have made a difference. This can be a location, time duration, or a popular product with quality services.

For example, if you notice a trend of positive reviews for a particular product feature, you can emphasize that feature in your marketing campaigns. If you see a lot of negative feedback on a specific aspect of your service, you can address it and improve customer satisfaction. This could involve updating your product description, offering additional support for the feature, or adjusting your pricing strategy.

Social Profiling

Customer feedback helps optimize marketing strategies and gain the trust of other visitors. Social profiling means highlighting the positive customer reviews on your apps, websites, or social media channels.

You can demonstrate credibility by showcasing these reviews and letting potential customers make more informed decisions. This becomes an excellent source for new visitors to understand your services and the quality of customer care.

Wrapping It Up!

We have made your journey effective whether you are planning to scale your business, gain potential leads, understand the company's pros and cons, or gather information about competitors.

Web scraping has become a go-to solution for extracting customer review collection data stored in structured form for analysis. Pick the right tools, platforms, and experts to streamline the process. Whether dealing with competitor analysis, marketing, pricing, personalization, customer sentiments, or more, ensure you have a precise output for analysis.

At iWeb Scraping, a trusted provider of web data scraping services, we help you harness the power of customer review collection to boost your business's profits smartly. Data is dynamic and readily available. You need the right resources and expertise to convert that into high returns like ours.

[foodspark-scraper]

The Ultimate Guide to Reviews and Ratings Data Scraping Services

In the digital age, online reviews and ratings have become critical factors influencing consumer decisions. Whether someone is looking for a restaurant, choosing a new gadget, or selecting a service provider, they often turn to online reviews to guide their choices. For businesses, harnessing the power of this valuable data is essential for staying competitive and meeting customer expectations. One way to achieve this is through reviews and ratings data scraping services. In this article, we'll explore how businesses can maximize the benefits of these services to gain a competitive edge and enhance customer satisfaction.

Understanding Reviews and Ratings Data Scraping Services:

Reviews and ratings data scraping services involve the automated extraction of customer feedback and ratings from various online platforms. These services use web scraping techniques to gather information from review sites, e-commerce platforms, social media, and other sources. By aggregating this data, businesses can gain valuable insights into customer opinions, sentiments, and preferences.

Identifying Key Metrics and Trends:

Reviews and ratings data scraping services enable businesses to identify key metrics and trends in customer feedback. Analyzing this information can reveal patterns related to product satisfaction, service quality, and customer sentiment. By understanding these trends, businesses can make informed decisions to improve their offerings and address any issues highlighted by customers.

Enhancing Product Development and Innovation:

Customer feedback is a goldmine of ideas for product development and innovation. Reviews and ratings data scraping services can help businesses identify areas where their products excel and areas that need improvement. By integrating customer suggestions, businesses can enhance their products, ensuring they meet or exceed customer expectations.

Monitoring Competitor Performance:

Staying ahead of the competition is crucial in today's fast-paced business environment. Reviews and ratings data scraping services allow businesses to monitor their competitors' performance by analyzing customer feedback. By understanding what customers appreciate or dislike about competitors, businesses can adjust their strategies to gain a competitive advantage.

Building a Positive Online Reputation:

Online reputation is a key factor in attracting and retaining customers. Reviews and ratings data scraping services help businesses monitor and manage their online reputation by highlighting positive reviews and addressing negative feedback promptly. A positive online reputation can significantly impact consumer trust and influence purchasing decisions.

Optimizing Marketing Strategies:

Customer testimonials and positive reviews are powerful marketing tools. Reviews and ratings data scraping services can be leveraged to identify compelling customer stories and endorsements. Businesses can use this content in their marketing efforts, whether through social media, email campaigns, or website testimonials. This user-generated content adds authenticity to marketing messages and builds credibility.

Tailoring Customer Support and Services:

Understanding customer concerns and preferences is crucial for delivering excellent customer service. Reviews and ratings data scraping services provide businesses with valuable insights into customer experiences, allowing them to tailor their customer support and services accordingly. By addressing common issues and improving service in identified areas, businesses can enhance overall customer satisfaction.

Compliance with Privacy Regulations:

While reviews and ratings data scraping services offer immense benefits, it's essential for businesses to prioritize compliance with privacy regulations. Ensure that the chosen service adheres to data protection laws and guidelines, safeguarding both customer and business data. Respecting privacy builds trust with customers and avoids legal complications.

Choosing the Right Data Scraping Service Provider:

Not all data scraping services are created equal. Businesses should carefully choose a reputable and reliable service provider that offers ethical and transparent scraping practices. Look for providers that prioritize data accuracy, provide customizable solutions, and have a track record of delivering actionable insights.

Continuous Improvement and Adaptation:

The online landscape is dynamic, and customer preferences can change rapidly. Businesses should view reviews and ratings data scraping as an ongoing process rather than a one-time solution. Regularly updating and adapting strategies based on the latest feedback ensures that businesses remain responsive to evolving customer needs.

conclusion

Reviews and ratings data scraping services offer businesses a powerful tool for gaining insights, improving products and services, and staying ahead of the competition. By leveraging these services strategically and ethically, businesses can maximize the benefits and foster long-term success in the ever-evolving digital marketplace.



[iwebdatascrape]

Etsy Product Data Scraping Services | Scrape Etsy Product Data

Leverage the benefit of our Etsy product data scraping services to efficiently scrape Etsy product data, encompassing essential details such as product titles, pricing information, and more.

know more:

[apiscrapy]

Extract Voluminous Real-Time Data With The Ready-To-Use Amazon Scraper

Automate the entire data scraping pipeline with a dynamic, comprehensive, and scalable Amazon scraper from ApiScrapy. You can fetch voluminous data including product prices, seller information, customer reviews, and bestseller ranking faster with ApiScrapy.

For more details visit: https://apiscrapy.com/amazon-scraper/

About AIMLEAP - Apiscrapy

Apiscrapy is a division of AIMLEAP, AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering Digital IT, AI-augmented Data Solutions, Automation, and Research & Analytics Services.

AIMLEAP has been recognized as ‘The Great Place to Work®’. With focus on AI and an automation-first approach, our services include end-to-end IT application management, Mobile App Development, Data Management, Data Mining Services, Web Data Scraping, Self-serving BI reporting solutions, Digital Marketing, and Analytics solutions.

We started in 2012 and successfully delivered projects in IT & digital transformation, automation-driven data solutions, and digital marketing for more than 750 fast-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more.

⭐An ISO 9001:2015 and ISO/IEC 27001:2013 certified

⭐Served 750+ customers

⭐ 11+ Years of industry experience

⭐98% Client Retention

⭐Great Place to Work® Certified

⭐ Global Delivery Centers in the USA, Canada, India & Australia

Email: sales@apiscrapy.com

USA: 1-30235 14656

Canada: +1 4378 370 063

India: +91 810 527 1615

Australia: +61 402 576 615

[fooddatascraping]

How To Scrape Restaurants Reviews From Food Delivery App Like Talabat, Deliveroo, And Zomato

What is a Food Delivery App?

Online food delivery apps are a new way of food distribution. You can get numerous food delivery apps in the marketplace that works like a common platform between food consumers and restaurants. A few restaurant owners make their food ordering apps to help customers order food rapidly and give fresh food. Some leading food delivery applications include Deliveroo, Talabat, and Zomato.

Some Important Food Delivery Growth Statistics

https://www.fooddatascrape.com/assets/img/blog/how-to-scrap-restaurants-reviews-from-food-delivery-apps-like-talabat-deliveroo-and-zomato/Some-Important-Food-Delivery-Growth-Statistics.jpg

Revenue in the food delivery segment touched US$9,207m in 2020. The projected income will show annual growth of 9.5% (CAGR 2020-2024), with market sizing of US$13,233m within 2024! The most significant segment of this market is Restaurant-to-Consumer Delivery, which is getting a market volume of US$4,934m in 2020.

Food Data Scrape offers the finest food delivery app scraping services to extract food delivery apps, including Deliveroo, Talabat, and Zomato with on-time delivery and accuracy. Our food data extraction services assist in getting information like product prices, news, quotations, features, etc. We help you scrape precise data and provide all the required business details.

About Deliveroo

Deliveroo is a well-known British online food delivery company incepted in the year 2013 in London, England. Will Shu and Greg Orlowski founded it. It operates in nearly 200 cities, including Belgium, France, the UK, Italy, Ireland, Singapore, UAE, and Hong Kong. In 2022, the company launched an advertising platform to allow the business to promote products across its app. Deliveroo operates with large chain restaurants across the UK and thousands of independent restaurants.

About Talabat

Talabat is an online food ordering business founded in Kuwait in 2004. This company has been a subordinate of Delivery Hero since 2016 and has become the well-known online food-ordering company in the Middle East. Today, Talabat delivers hundreds of millions of food orders and other products annually across nine regional countries. Their food delivery business works with over 27,000 brands and nearly 50,000 branches.

About Zomato

Zomato is a popular Indian multicultural restaurant assemblage and food delivery company established in 2008 by Deepinder Goyal & Pankaj Chaddah. The company provides menus, information, food delivery options, and user reviews of the restaurants from several partnering restaurants in several Indian cities.

In this blog, we will understand how to scrape restaurant reviews from food delivery apps like Talabat, Deliveroo, and Zomato.

List of Data Fields

At Food Data Scrape, we extract the given data fields to scrape restaurants reviews data from apps like Talabat, Deliveroo, and Zomato:

Restaurant Name

Address

City

Location

Phone Number

Website URL

Image

Number of Reviews

Amenities

Features

Discount Offers

All food delivery apps like Talabat, Deliveroo, and Zomato comprise innumerable information on restaurants, menus, food delivery options, payment options, and more. Using Talabat, Deliveroo, and Zomato restaurant data extraction, you can easily collect menus, locations, reviews, ratings, and more data.

With Food Data Scrape, it’s easy to get a fast turnaround time, as we know you depend on us for Deliveroo restaurant data scraping.

Generally, web scraper break down when targeted websites make changes in the structure or designs, so you need a quick support team that can immediately take action. With us you will get immediate support.

We provide a well-organized Zomato food delivery data scraping service with different customizations. You may need to cope with scraped data and various delivery procedures in other data formats. So, our Talabat restaurant data extraction services can satisfy all the requirements.

Maintenance is a vital portion of any web extraction. This is essential because the web is highly dynamic. All the scraping setups that work today might not work if any targeted apps make any changes. So, Food Data Scrape is the most suitable service provider to scrape restaurants reviews data.

Contact us for all your restaurant review data scraping service requirements. We also provide the best Food Data Scraping and Mobile App Scraping requirements.

[iweb-data-scraping]

Myntra.com Data Scraper – Scrape Myntra.com Product Data

Extract Myntra.com product data like seller name, title, URL, merchant ID, category tree, image URL, brand, colors, style, and more using our Myntra.com product data scraping service.

[tribow]

I don't get the discourse around supporting Tumblr.

Like if you give money to Tumblr you are supporting all of their bad decisions!!!

Okay, but then how do they keep the site alive? Ads? How many people are clicking on ads here? Tumblr hasn't been scraping every tiny piece of data they can get to sell it like Facebook does either. Should they start doing that? Or should they sell more ad space even though they're already known to be a site that isn't all the great for advertisers.

This is the only two routes I can think of for attempting to stay sustainable without the use of getting money directly from their users.

Someone's gotta pay to maintain this site and also pay all employees working to do so. This isn't a one man job you need a whole team for this. Tumblr costs quite a bit to maintain.

Is it wrong to pay for an online service you frequently use? I mean, let's imagine every Tumblr user magically unite to protest against all the changes to Tumblr they disagree with by making sure Tumblr gets no financial support. What would happen? Who is paying Tumblr's staff to listen to the demands of its community? Does anyone know how long that could take? Would that really save the site or would that send it straight to its doom?

To change topic a bit. Is financially supporting a company indicative of you agreeing with what they are doing? Is it not entirely possoble to critique a company in spite of your support? There's still things like review bombing and disrupting customer service. Besides, without being a paying customer you wouldn't have much of anything to threaten Tumblr with. If majority of the userbased was supporting with money it would be very scary for Tumblr if a ton of people really pulled out.

I....

I don't know it just seems to me that people want to protest to Tumblr staff by just....doing nothing and continueing to use Tumblr. What does that do??? Do YOU want to become the product??? Tumblr could axe Tumblr Live right now all of those people complaining wouldn't give Tumblr a dime for it. These devs are fairly communicative. They have several blogs dedicated to development, there's devs with their own blogs who respond to the community and even post surveys for suggestions to other staff, they did a Q&A in Tumblr Live (annoyingly), and have been fairly transparent in clearly communicating their plans while keeping it very open to criticism.

I can't really say that about many other companies. Tumblr staff gives its users SO MANY avenues to communicate. It's almost too open. The staff can get harassed very easily (I'm sure some do). Are the people complaining about this site not using these avenues to get staff's attention? I don't see how not giving them money will get their attention. If anything it would make them more desparate to get money from us through other means than something as inoffensive as merch.

This is a website that you are using. Is it wrong to compensate those maintaining/providing this service as you use it? If it is wrong, then what are the alternatives? Am I just stupid am I missing something?

[curious-coder]

Using indeed jobs data for business

The Indeed scraper is a powerful tool that allows you to extract job listings and associated details from the indeed.com job search website. Follow these steps to use the scraper effectively:

1. Understanding the Purpose:

The Indeed scraper is used to gather job data for analysis, research, lead generation, or other purposes.

It uses web scraping techniques to navigate through search result pages, extract job listings, and retrieve relevant information like job titles, companies, locations, salaries, and more.

2. Why Scrape Indeed.com:

There are various use cases for an Indeed jobs scraper, including:

Job Market Research

Competitor Analysis

Company Research

Salary Benchmarking

Location-Based Insights

Lead Generation

CRM Enrichment

Marketplace Insights

Career Planning

Content Creation

Consulting Services

3. Accessing the Indeed Scraper:

Go to the indeed.com website.

Search for jobs using filters like job title, company name, and location to narrow down your target job listings.

Copy the URL from the address bar after performing your search. This URL contains your search criteria and results.

4. Using the Apify Platform:

Visit the Indeed job scraper page

Click on the “Try for free” button to access the scraper.

5. Setting up the Scraper:

In the Apify platform, you’ll be prompted to configure the scraper:

Insert the search URL you copied from indeed.com in step 3.

Enter the number of job listings you want to scrape.

Select a residential proxy from your country. This helps you avoid being blocked by the website due to excessive requests.

Click the “Start” button to begin the scraping process.

6. Running the Scraper:

The scraper will start extracting job data based on your search criteria.

It will navigate through search result pages, gather job listings, and retrieve details such as job titles, companies, locations, salaries, and more.

When the scraping process is complete, click the “Export” button in the Apify platform.

You can choose to download the dataset in various formats, such as JSON, HTML, CSV, or Excel, depending on your preferences.

8. Review and Utilize Data:

Open the downloaded data file to view and analyze the extracted job listings and associated details.

You can use this data for your intended purposes, such as market research, competitor analysis, or lead generation.

9. Scraper Options:

The scraper offers options for specifying the job search URL and choosing a residential proxy. Make sure to configure these settings according to your requirements.

10. Sample Output: — You can expect the output data to include job details, company information, and other relevant data, depending on your chosen settings.

By following these steps, you can effectively use the Indeed scraper to gather job data from indeed.com for your specific needs, whether it’s for research, business insights, or personal career planning.

[reviewgatorsusa]

The Power of Yelp Data Scraper Using Our Yelp Review Data Scraping Services

Our Yelp web scraper efficiently collects business information, reviews, ratings, and other relevant data, providing you with actionable insights for business analysis and decision-making. With automated scraping capabilities and a user-friendly interface, our scraper saves you time and effort in gathering important Yelp data.

[iwebscrapingblogs]

Tripadvisor Hotels Data Scraping | Scrape Hotel Data, Pricing From Tripadvisor

Need Tripadvisor Hotel Data, Pricing and review Data Scraping Services Provider. The company we offer the services of Scrape Hotel Data, Pricing Data From Tripadvisor websites, Tripadvisor Data extractor in USA, Spain, Australia at affordable prices.

[foodspark-scraper]

Scraping Reviews from TripAdvisor: A Comprehensive Guide

Are you tired of scrolling through endless reviews on TripAdvisor to plan your next vacation? Look no further than the TripAdvisor Scraper, a powerful tool that can help you streamline your travel planning process. In this article, we'll explore the benefits of using a TripAdvisor scraper and how it can unleash your travel planning potential.

What is a TripAdvisor Scraper?

A TripAdvisor scraper is a software tool that extracts data from the popular travel review website, TripAdvisor. It collects information such as hotel reviews, ratings, and prices, and presents it in a structured format for easy analysis. This allows users to quickly compare and contrast different options and make informed decisions for their travel plans.

Save Time and Effort

One of the biggest advantages of using a  TripAdvisor scraper is the time and effort it can save you. Instead of manually searching through countless reviews and ratings, the scraper does the work for you. It collects all the necessary information and presents it in an organized manner, allowing you to make efficient and informed decisions for your trip.

Find the Best Deals

With a TripAdvisor scraper, you can easily compare prices and ratings for different hotels and accommodations. This can help you find the best deals and save money on your travels. The scraper also allows you to filter results based on your budget and preferences, making it easier to find the perfect option for your trip.

Analyze Reviews and Ratings

In addition to collecting data, a TripAdvisor scraper also allows you to analyze reviews and ratings. This can be especially helpful for businesses in the travel industry, as they can gain valuable insights into customer satisfaction and areas for improvement. By understanding the sentiments and opinions of customers, businesses can make necessary changes to enhance their services and attract more customers.

Create a Review Aggregator

A TripAdvisor scraper can also be used to create a review aggregator, which is a website or platform that collects reviews from multiple sources and presents them in one place. This can be a valuable resource for travelers, as they can easily access reviews from various sources and make informed decisions for their trips. As a business, having a review aggregator can also help you attract more customers and improve your online reputation.

Stay Ahead of the Competition

By utilizing a TripAdvisor scraper, businesses can stay ahead of the competition by keeping track of their competitors' reviews and ratings. This allows them to identify areas where they can improve and stay on top of industry trends. By constantly monitoring and analyzing reviews, businesses can maintain a strong online presence and attract more customers.

In conclusion,

The TripAdvisor scraper is a powerful tool that can unleash your travel planning potential. It saves time and effort, helps you find the best deals, and allows you to analyze reviews and ratings for valuable insights. Whether you're a traveler or a business in the travel industry, the foods data  scraper is a must-have tool for efficient and effective travel planning. Have you used a TripAdvisor scraper before? Share your experience in the comments below.

[iwebdatascrape]

Amazon Product Data Scraping Services - Scrape Amazon Product Data

Leverage the benefit of our Amazon product data scraping services to efficiently scrape Amazon product data, encompassing essential details such as ASIN, product titles, pricing information, and more.

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[snickerdoodlles]

Don’t you feel that if you go on the “loves ao3 more than their own mom” website aka the “can't throw a rock without hitting a writer” website and put in the main tag the opinion that AI writing models are no big deal and don’t do any harm and nobody has any reason to feel hurt over their unethical training in a tone that distinctly resembles the “toughen up snowflake” rhetoric, you might, in fact, just be the one out of line and also an asshole?

*rolls eyes* not what i did nor what i said.

there are many concerns to have with generative AI, such as the ability to extract privatized information from their training datasets, the exploitation of human workers for AI services (tho this one frankly goes for all internet services, not just AI), AI's reinforced biases and lack of learning, and the current lack of regulation against AI developers and AI usage to name a few. in terms of a direct impact on the creative industry, there are several concerns about the uncompensated and unregulated use of copyrighted materials in training data (paper discussing BookCorpus, courtlistener link for writers suing over Books2), the even worse image scraping for diffusion models, screen production companies trying to pressure people into selling their personal image rights for AI use, and publishers getting slammed with various AI generated content while the copyright laws for it are still massively in flux.

i said fanfic does not intersect with AI. actually, i vaguely whined about it in the tags of an untagged post, because i'm allowed to do that on my personal whine-into-the-void space. (which, tumblr is bad about filtering properly in tags and i'm sorry if it popped up anyways, but i also can't control tumblr search not functioning properly.)

there are concerns to be had about AI training datasets (developers refusing to remove or protect private information because it weakens the training data even tho this is a bigger issue for bigger models is my primary concern personally, but the book shadow libraries and mass image scraping are shady ass shit too). but AO3 was never used to train AI. there is a lot of sketchiness involved with AI training data, but AO3 is not one of them.

i get irked when people compare AI generated writing to AI generated art, because the technology behind it is different. to make art, AI has to directly use the source image to create the final output. this is why people can reverse the process on AI art models to extract the source images. written models (LLMs) learn how to string words into sentences and in terms of remembering the specific training data, LLMs actually have a known issue of wandering attention for general written training material like books/articles/etc. (re the writers' lawsuit -- we know AI developers are pulling shady shit with their use of books, AI developers know they're pulling shady shit with their use of books, but unfortunately the specific proof the writers' are using for their case very closely resembles the summaries and written reviews on their books' wikipedia pages. the burden of proof for copyright violation is really hard to prove for books, esp because copyright protects the expression of an idea, not the idea or individual sentences of a work, and LLMs do not retain their written training material in that way.) these are different issues that can't truly be conflated because the methods in which the materials are used and the potential regulation/the impact of potential regulation on them are different.

anyways, back to my annoyances with fanfic x AI -- fanfic is not involved in its development, and if you don't want to read fic made by AI, don't click on fic that involves AI. ultimately, if you read a fic and it turns out AI was involved...nothing happens. if you don't like it, you click a back button, delete a bookmark, and/or mute a user. AI just strings words together. that's it. acting like AI will have a great impact on fandom, or that fandom will be some final bastion against it, is really fucking annoying to me because fandom does not have any stakes in this. there are legitimate issues in regards to developing and regulating AI (link to the US senate hearing again, because there are so many), but "oh no, what if i read a fic written by AI" is a rather tone fucking deaf complaint, don't you think?

[thehenrythomas]

Learn about negative SEO tactics and how to protect your website from malicious actions

In today’s highly competitive online landscape, businesses and website owners face not only the challenge of optimizing their websites for search engines but also the threat of negative SEO tactics. Negative SEO refers to the practice of using unethical and malicious strategies to harm a competitor’s website’s search engine rankings and online reputation. This dark side of search engine optimization can lead to devastating consequences for innocent website owners.

In this article, we will explore various negative SEO tactics and provide valuable insights on how to safeguard your website from such attacks.

Link Spamming and Manipulation

One of the most common negative SEO tactics is the mass creation of low-quality, spammy backlinks pointing to a targeted website. These malicious backlinks can lead search engines to believe that the website is engaging in link schemes, resulting in penalties and ranking drops. Website owners must regularly monitor their backlink profiles to identify and disavow any toxic links.

Content Scraping and Duplication

Content scraping involves copying content from a target website and republishing it on multiple other sites without permission. This can lead to duplicate content issues, harming the original website’s search rankings. Regularly monitoring your content for plagiarism and submitting DMCA takedown requests can help address this problem.

Fake Negative Reviews

Negative SEO attackers may leave fake negative reviews on review sites and business directories to damage a website’s reputation. Monitoring and responding to reviews promptly can help mitigate the impact of such attacks.

Distributed Denial of Service (DDoS) Attacks

DDoS attacks overload a website’s server with an excessive amount of traffic, causing it to become slow or crash. Implementing DDoS protection services can help safeguard your website against such attacks.

Regularly Monitor Backlinks

Use tools like Google Search Console and third-party SEO software to monitor your website’s backlink profile. Regularly review and disavow toxic links to prevent negative SEO attacks based on link spamming.

Secure Your Website

Ensure your website is secure with HTTPS encryption and robust security measures. This will help protect your website from hacking attempts and potential negative SEO attacks like content manipulation.

Frequently Check for Duplicate Content

Use plagiarism checker tools to identify if your content has been copied elsewhere. If you find duplicate content, reach out to the website owners to request removal or use the Google DMCA process.

Implement Review Monitoring

Keep an eye on reviews and mentions of your brand across various platforms. Respond professionally to negative reviews and report fake reviews to the respective platforms for removal.

Optimize Website Performance

A fast-loading website can better withstand DDoS attacks. Optimize your website’s performance by compressing images, using caching, and leveraging Content Delivery Networks (CDNs).

Regularly Backup Your Website

Frequent website backups will ensure that even if an attack occurs, you can quickly restore your website to its previous state without losing valuable data.

Use Webmaster Tools and Analytics

Stay vigilant by setting up alerts in Google Webmaster Tools and Google Analytics. These alerts can notify you of sudden drops in website traffic or other suspicious activities.

Conclusion

As the digital landscape continues to evolve, negative SEO tactics remain a persistent threat. Understanding these malicious strategies and proactively taking steps to protect your website is crucial for every website owner.

Discover countermeasures against negative SEO tactics, safeguarding your site from harm. Shield your website with insights from an experienced SEO company in Chandigarh for robust defense strategies.

[mariacallous]

If you search for the phrase “abortion pills” on the messaging service Telegram, an array of public channels and groups pop up. Some have names like “Buy Abortion Pills” or “Abortion pills Mifepristone Misoprostol” while others offer advice on symptoms and best practices “after the pregnancy comes out.” On May 3, a post on “ABORTION PILLS MARKET” included a photo of a blister pack labeled as abortion pills, alongside the caption, “We are legit.”

There are currently more than 200 public groups and channels on Telegram that explicitly mention selling abortion pills in their name or description, a WIRED investigation found. At the end of May, the last month for which we have complete data, 57 of the 211 groups we uncovered were active, with at least one message sent in that month.

Activity found on the platform related to selling abortion pills traces back to at least 2016, and many of the channels and groups cater to customers around the world. In the year since the US Supreme Court overturned Roe v. Wade in June 2022, though, there’s a new focus on marketing to people in the United States, according to WIRED’s review of roughly 47,000 public messages scraped from these channels. And in general, public activity on Telegram related to abortion pills has been exploding since last summer.

“Since its creation, Telegram has actively moderated harmful content including the sale of medications,” says Telegram spokesperson Remi Vaughn. “Telegram's moderators use a combination of proactive monitoring of public chats in addition to accepting user reports in order to remove content that breaches our terms of service.”

Shady drug sellers and scams are nothing new on digital platforms. A nearly universal experience of the early consumer internet, after all, was receiving spam emails claiming to offer penis enlargement pills. And in the decades since, dark web markets have fueled illegal distribution of drugs globally. Like other prescription drugs, though, abortifacients are legal in some countries but not others. Furthermore, in some places they can be prescribed for certain purposes but not others, leaving patients to potentially seek ways to fill in the gaps for their own care. In the US, access to reproductive care, including abortifacients, varies widely from state to state.

Despite the clear uptick in activity on Telegram related to abortion pills, researchers say that they don’t see evidence of a massive new movement to illegally sell abortifacients to Americans. Kat Green, an abortion access researcher and founder of the online data analysis platform Endora, says that illegal sales of abortifacients, and corresponding questions about legitimacy and safety, aren’t currently central topics in US abortion access work. In part, this is likely because it’s still legal in many US states for patients to get abortion pills by mail. And prescribed use of these pills, also known as medication abortion, is markedly on the rise in the US. But as new and pending legal challenges threaten to further curtail access, illicit sales could eventually expand.

Analysis of frequently used phrases in the Telegram message trove WIRED collected shows that a large number of these groups and channels don’t just claim to sell abortion pills. Phrases like “weight loss,” “muscle mass,” and “erection pill” were among the 10 most popular two-word phrases that appeared in the data set. And thousands of additional messages mentioned “benzos,” “painkillers,” “Xanax,” “weed,” “coke,” and “guns.” In all, at least a quarter of the channels appear to be hawking more than just abortifacients.

Hundreds of messages from the data that contained pricing information indicate that the average cost of purchasing a purported pack of abortion pills on Telegram is currently $135.

WIRED’s investigation also indicates that the abortion pill ecosystem on Telegram is likely a small world. Analysis of the members and administrators who send messages in the groups and channels shows that many of the accounts are likely controlled by the same individuals. For example, a user going by the name Dr. Pooja Gupta has sent 1,500 messages across nine channels or groups advertising the sale of abortion pills. Dr. Pooja uses a WhatsApp number that is referenced by administrators in 14 additional channels. And some of them use similar names like Doctor Jain and Doctor Reenu. Many of these messages also referenced the same website.

After joining several of Dr. Pooja Gupta’s channels, WIRED reporters received a private Telegram message from a user known as Manisha Gupta offering medication abortion for $90. When WIRED reporters expressed interest in making a purchase, a person prepared the order and sent an image showing a blister pack of pills, and an envelope with that day's date as well as the address WIRED provided for shipment. The return address written on the envelope was a location in Mumbai, India.

Still messaging on Telegram, a person then sent account information for Punjab National Bank and directed WIRED to submit payment through a service called Remitly. WIRED reporters did not complete the transaction. When asked whether they have had more US-based customers in recent months, the person said, “since new laws I am send to America much more.”

Some groups on Telegram have US-specific names or descriptions, like “Abortion Pills in Republican States,” but most have more generic names and claim to deliver to dozens of countries. For instance, one of the largest and most active channels in the data set dates from August 2021 and is apparently specifically geared toward delivering abortion pills to Dubai, Kuwait, Qatar, and the Philippines—all countries where legal access to abortion is restricted.

Last June, researchers from the security firm DarkOwl noticed a sharp increase in discussions on the dark web about connecting abortion-seekers in the US with abortifacients and other resources. Some vendors that already sold illegal drugs said they would begin selling medication abortion as well. At the time, though, the researchers said that they didn’t actually see abortion pills widely available for sale on most dark web markets, but that “they are available for purchase via threads in discussion forums, as well as classified-style advertisements on transient paste services.”

Ian Gray, director of analysis and research at the security firm Flashpoint, says that turning points like the Covid-19 pandemic or the fall of Roe for the US can spark trends in digital scams and illicit online sales. But a survey Gray conducted for WIRED of dark web advertising targeted at the US over the last year did not reveal a dramatic spike in content related to abortifacients.

“At a high level, it's difficult to identify a significant increase in chatter related to abortion pills due to Roe v Wade being overturned last year,” Gray says. He notes, though, that “there are a limited number of posts within the past year in marketplaces, which may indicate demand. Most posts, at least on Twitter and some within Telegram, are in Brazilian Portuguese, likely due to a ban on abortion pills.”

As with many medical procedures, the stakes are extremely high in medication abortion. But the patchwork of laws and access in the US could make the landscape particularly fraught for patients in need who may eventually turn to illicit markets out of desperation.