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.
Web Scraping for Recruiters: Top Tools & Techniques
Bright Data’s Data collector automatically extracts publicly available data from LinkedIn for recruiters.
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: Alternative data use cases for investment Social media data 1.
No-Code Financial Data Scraping: Tools & Compliance Tips
While official financial data providers do offer APIs, these are often limited in scope, access, or flexibility for real-time or niche data needs.
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.
2026 Web Crawler Guide: From Indexing to Agentic Intelligence
Have you ever wondered how search engines such as Google and Bing collect all the data they present in their search results? Search engines index all the pages in their archives so they can return the most relevant results for queries. Web crawlers enable search engines to handle this process.
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.