A flood of information and data runs on the web. In this global age, people use the internet to achieve almost everything. Everything they click on, things they search for, and the websites they spend the most time on translates to user behavior and tells us about what they like to see. Such information is invaluable and is waiting right there in front of us.

Collection of such data, ensuring proper data processing with the help of data collection can help your eCommerce business grow in ways unimaginable.

Today's internet is expanding at an unimagined rate, and the data roaming about the servers worldwide are extensively diverse and can be used to gather valuable insights, but how? The answer is Web Scraping! But what exactly is web scraping, and how to achieve your goals with data extraction?

Web scraping specialists are dealing with using proxy servers to overcome various anti-bot defenses every day. One of those protections is IP rate limiting, a primary anti-scraping mechanism.

Let's learn more about this protection method and the most effective ways of bypassing it.

Using a quality proxy server is the key to a successful web scraper. A variety of IPs along with their quality make it possible to collect data from various web sites without worrying about being blocked.

Still, many websites provide free proxy lists, so can the process of getting IP addresses from them be automated? Are free proxies good enough for web scraping? Let's check it out.

Making POST, PUT, and DELETE requests is a crucial web scraping and web testing technique. Still, this functionality is not included in Puppeteer's API as a separate function.

Let's check out the workaround for this situation and create a helper function to fix this out.

While communicating with our web scraping API users, we've found that many of them use a whole web page text extraction for further data manipulation.

It's interesting, as such an approach simplifies the needed data extraction by just picking the particular text row from the text or using RegExp.

Working with images in NodeJS extends your web scraping capabilities, from downloading the image with an URL to retrieving photo attributes like EXIF. How to achieve the image download and obtain the data?

This article is a part of the series on image downloading with different programming languages. Check out the other articles in the series:

• How to download images with Python?
• How to download images with Node.js?
• How to download images with PHP?
• How to download images with Go?
• How to download images with C#?
• How to download images with Java?
• How to download images with cURL?

HTML parsing is a vital part of web scraping, as it allows convert web page content to meaningful and structured data. Still, as HTML is a tree-structured format, it requires a proper tool for parsing, as it can't be property traversed using Regex.

This article will reveal the most popular .NET libraries for HTML parsing with their strong and weak parts.

This article will expose how to block specific resources (HTTP requests, CSS, video, images) from loading in Playwright. Playwright is Puppeteer's successor with the ability to control Chromium, Firefox, and Webkit. So I'd call it the second one of the most widely used web scraping and automation tools with headless browser support.

Java is one of the most popular and high demanded programming languages nowadays. It allows creating highly-scalable and reliable services as well as multi-threaded data extraction solutions. Let's check out the main concepts of web scraping with Java and review the most popular libraries to setup your data extraction flow.