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 Glassdoor Scrapers: Bright Data, Oxylabs & Decodo
To compare how well different tools handle Glassdoor‘s CAPTCHAs, login overlays, and frequent layout changes, we tested 5 leading web data scrapers across 2,500 requests and tracked each provider’s success rate, completion time, and metadata coverage. Glassdoor scraping benchmark results You can read our benchmark methodology for more details on our testing process.
Top 5 Job Posting Scraper APIs Compared
We benchmarked 5 leading web scraping providers across 5 major job platforms by running 12,500 requests in total, then measured each provider’s success rate, completion time, and metadata output.
How to Bypass CAPTCHA in 2026 (reCAPTCHA & hCaptcha)
Modern CAPTCHA and human-verification systems use a mix of challenge-response tests, browser signals, server-side token validation, and adaptive challenges. Attempting to bypass CAPTCHA on third-party websites can violate the terms of service or trigger account or IP blocks.
ChatGPT Web Scraping: Tutorial & Applications
ChatGPT is an easy way to bring AI to web scraping, saving developers from manual parsing work that requires constant updates. Using LLMs is becoming one of the best web scraping practices.
Web Scraping Roadmap in 2026: Insights from 30M Requests
We scraped more than 30 million web pages using 50+ products from six web data infrastructure companies.
Scrape Data from Twitter (X.com) with Python
Social media platforms, such as X.com, employ strict anti-scraping defenses, including CAPTCHA, rate limits, and IP blocking. These security measures make building a custom scraper from scratch both difficult and prone to frequent interruptions.
The Most Common Web Scraping Challenges in 2026
Web scraping has become more difficult in recent years. Since 2025, AI-related scraping has raised significant legal concerns. Platforms and infrastructure providers have adopted new methods to control AI crawlers and manage data collection.
Best YouTube Datasets: Bright Data, Oxylabs & Grepsr
YouTube has become a primary source for training advanced multimodal AI and large language models (LLMs). However, obtaining YouTube data at scale remains difficult due to anti-bot measures and significant bandwidth requirements. This review examines key companies in the YouTube data sector: Bright Data, Oxylabs, Decodo, and Grepsr.
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.
Top 5 Free Chrome Extensions for Web Scraping
A Chrome web scraper extension enables you to collect data such as text, tables, links, images, and lists directly from your browser. Many extensions offer no-code workflows, AI-powered field detection, scheduled scraping, Google Sheets exports, and page-change monitoring.