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 Python Web Scraping Libraries
Based on my over a decade of software development experience, including my role as CTO at AIMultiple, where I led data collection from ~80,000 web domains, I have selected the top Python web scraping libraries. BeautifulSoup is a Python library for parsing HTML and XML and extracting data from web pages. It sits on top…
Playwright vs Selenium: When to Use Each
Playwright is a browser automation framework released by Microsoft in 2020. Selenium is an open-source project, active since 2004, that supports a wide range of browsers and languages. Playwright offers fine-grained control for scraping dynamic sources, including single-page applications that load content through AJAX, and supports request interception. Selenium is also used for data collection,…
Best Social Media Scrapers: 75K Requests Tested
We executed 75,000+ test requests across X, Instagram, LinkedIn, and Facebook to find the most reliable social media scraping API. Whether you need social media data scraping for business information extraction or a high-scale social media scraping solution, our benchmark reveals the top performers. Use the tool below to estimate your monthly budget based on…
The Most Common Web Scraping Challenges
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. There are many technical challenges that web scrapers face due to the barriers set by data owners or website owners to…
Web Scraping for Recruiters: Top Tools & Techniques
Recruiters rely on web data to build talent pools, monitor hiring demand, and benchmark compensation. But how you collect that data matters. Many automation tools use cookie/session-based scraping (higher risk of bans), while proxy-based scraping APIs and managed scrapers are built for scale and reliability. Dedicated scrapers and site-specific APIs are the right option when…
Best YouTube Datasets: Bright Data & Oxylabs
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 bandwidth requirements. This review examines key companies in the YouTube data sector: Bright Data, Oxylabs, Decodo, and Grepsr. Each targets a specific market segment, ranging from…
We Compared the Best Web Scraping Tools
We cover 13+ of the top web scraping tools, split into two categories: We tested leading web scraping APIs across thousands of URLs. Use the table below to compare their site coverage, request success rate, metadata richness, and average latency: These are managed “send a URL, get data back” services. You don’t manage proxies, rotate…
The Best E-Commerce Dataset Providers
Paid dataset providers offer up-to-date, large-scale e-commerce data with defined coverage and regular updates, supporting applications like competitor price and stock-level tracking. In contrast, free e-commerce datasets are usually static and outdated, limiting their value for real-time decision-making, including dynamic repricing. Bright Data is one of the largest providers by publicly stated dataset volume. It…
Best CAPTCHA Solving Services
We compared 10 CAPTCHA-solving services based on which CAPTCHA types each one supports, whether it solves CAPTCHAs via AI or human workers, and how it prices. We also stress-tested the four integrated unblockers (Bright Data, Decodo, Oxylabs, Zyte) against the real-world target, Cloudflare’s Under Attack mode. To see how the integrated unblockers hold up against…
Amazon Dataset Comparison
Amazon datasets can support pricing intelligence, seller analysis, market research, and lead generation. However, buyers should compare providers not by price and format, but also by data freshness, historical coverage, and delivery method. For example, Bright Data is best suited for buyers seeking ready-made or customizable Amazon datasets, offering multiple delivery options, while Exellius focuses…