Web Data Scraping
Web data scraping refers to the methodologies, and tools for programmatically extracting structured data from websites, such as DOM parsing, API interaction, and headless browser automation.
Best Facebook Scrapers: Apify, Bright Data & Decodo
Using Python and a managed Facebook scraping API lets you collect public posts, comments, likes, and shares. This tutorial demonstrates how to scrape Facebook posts by keyword and retrieve their URLs via Google search.
Best LinkedIn Scrapers: Bright Data, Apify & PhantomBuster
We benchmarked the best LinkedIn scraper tools using 9,000 requests across posts, profiles, and job listings. This guide covers two main areas: Apify vs.
Large-Scale Web Scraping: Techniques & Challenges
We benchmarked leading web scraper APIs with 12,500 requests to e-commerce platforms and search engines. Then, we tested the reliability of the underlying services (i.e. residential proxies) with 5,000 and 100,000 parallel requests. Based on these experiences, we outline how to efficiently and ethically scrape large-scale data.
How to Scrape Glassdoor: Top Tools & Python Tutorial
Glassdoor uses aggressive anti-scraping techniques (CAPTCHA, overlays, login requirements). The moment you load the site, you often encounter login prompts, pop-up overlays, CAPTCHA, and aggressive bot detection. The page structure also changes frequently, breaking HTML scrapers. Instead of manually circumventing these barriers, we used a managed scraping infrastructure to address them.
Best TikTok Scraping Tools in 2026 (Python Guide)
In 2026, TikTok moved its U.S. operations to the TikTok USDS Joint Venture, managed by Oracle. This changed how the platform handles data and anti-bot measures. To understand how well different tools handle TikTok data, we tested the leading TikTok scrapers by running 500 unique TikTok videos per provider.
5 Best Scraping Browsers in 2026 (Bright Data vs Oxylabs vs Zyte)
Scraping browsers handle the unblocking infrastructure, enabling users to interact with websites programmatically and extract data easily. We benchmarked the top scraping browsers on sites with login walls, infinite scroll, and strict anti-bot rules. We updated this guide to include the latest anti-bot evasion techniques (TLS 1.
Top 20 Web Scraping Applications in 2026
Web scraping has evolved from simple manual scripts into advanced systems that help AI gather information. Agentic scraping lets AI agents navigate websites, handle dynamic content, and adapt to new layouts. To bypass advanced AI-based bot detection, companies use managed browser automation. This approach uses real browsers in the cloud that act like real people.
The Most Common Web Scraping Challenges in 2026
Web scraping, the process of extracting required data from web sources, is an essential tool; however, it is a technique fraught with challenges. See below the most common web scraping challenges and practical solutions to address them.
Is Web Scraping Legal? 2026 Laws & Best Practices
If you’re scraping the web, you’ve likely seen how it has benefited your business. However, as of 2026, the legal landscape has shifted dramatically. While historical cases focused on unauthorized access, new landmark lawsuits involving AI training and technical circumvention are redrawing the lines of what is permissible. See below for the most recent web scraping lawsuits (including the Reddit v. Perplexity and NYT v.
Web Scraping Roadmap in 2026: Insights from 30M Requests
We crawled more than 30 million web pages using more than 50 products from 6 leading web data infrastructure companies. Our goal was to determine which solutions truly handle the complexities of enterprise-level scraping.