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 CAPTCHA Solving Services in 2026: 10 Tools Compared
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…
Playwright vs Selenium: Differences & When to Use Each 2026
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,…
Is Web Scraping Legal? Laws & Best Practices
Legal regulations have changed in the web scraping market. While litigation once focused on unauthorized access, new lawsuits related to AI training and technical workarounds are shaping acceptable practices. Disclaimer: Our work is for informational purposes and not legal advice; please get professional legal advice for specific guidance. Web scraping is legal if you scrape…
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. The better approach is to use official APIs, reduce request rates, or implement a modern bot-management solution…
Top 10 Alternative Data Use Cases for Investment
Investors are always seeking new sources of data to gain an edge in their investment strategies. Alternative data can provide unique, non-public insights into companies, industries, and markets. Explore why alternative data is important for investment, the top 10 alternative data use cases, and more: Perceptions of social media have been shown to influence stock…
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…
The Best E-Commerce Dataset Providers of 2026
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 ScrapeBox Alternatives in 2026
ScrapeBox is a Windows and macOS desktop application used for SEO tasks such as search engine scraping, keyword harvesting, link building, comment posting, and backlink checking. However, it is a desktop GUI tool, not an API, and the cost is higher than that of once premium plugins, proxies, and a CAPTCHA service are added. So…
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…
Top 6 Food Delivery Scrapers: Benchmark & Use Cases
We benchmarked 6 web scraping providers to see how they handle food delivery data scraping, sending 12,000 requests in total across the top 4 food delivery platforms, and measured success rate, completion time, and metadata coverage. See the benchmark methodology section for more details on the testing process. Different platforms expose different layers of data,…