Social Media Scraping
Social media scrapers enable the extraction of user-generated content, follower metrics, and engagement data from platforms like Instagram, LinkedIn, and X. We benchmarked tools for public data collection based on platform compatibility and data accuracy.
Best Instagram Scrapers: Tools, Benchmarks & Python Tutorial
Instagram remains one of the most aggressive platforms for blocking automated scraping due to advanced anti-bot measures like TLS fingerprinting and IP reputation checks. Whether you need a high-performance scraper API for business or a custom Python script for research, this guide provides a data-backed comparison of the best solutions available today.
Best Social Media Scraping Tools: Results from 75,000+ Test Requests
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 web scraping social media solution, our benchmark reveals the top performers: Key performance findings Success rate performance (Decodo): In our tests, Decodo achieved a 91.
Best Video Scrapers for High-Scale Video Data Extraction
Major video-sharing networks are highly dynamic environments that present significant challenges for automated data extraction. Technical hurdles, such as infinite-scrolling layouts prevalent in short-form video feeds, often cause standard scrapers to fail to consistently retrieve data.
5 Best Facebook Scrapers + Facebook Scraping with Python
Using Python and a managed scraper API for Facebook scraping allows you to collect public posts, comments, likes, and shares. This tutorial demonstrates how to scrape Facebook posts by keyword and retrieve their URLs via Google search.
How to Scrape Data from Twitter (X.com) with Python (No Twitter API)
Modern social 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.
Best LinkedIn Scrapers: Benchmarks + Python Guide [2026]
We benchmarked the best LinkedIn scraper tools using 9,000 requests across posts, profiles, and job listings. This guide covers two main areas: This guide will help you whether you’re choosing a scraper for your team or developing your own LinkedIn scraper in Python.
Best Glassdoor Scraper Tools and Python Tutorial in 2026
Scraping job listings from Glassdoor is challenging due to login walls, overlays, CAPTCHA, and HTML changes. 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.
TikTok Scraper: How to Scrape TikTok (Python Tutorial + Legal Tips)
This guide covers how to scrape TikTok data safely, efficiently, and within TikTok’s legal boundaries. Use the links below to jump directly to the sections you need: Discover the top TikTok scrapers, including details on their data coverage, pricing, and regional support.
How to Scrape Twitter: Benchmarks and Twitter Scrapers
We benchmarked top Twitter scrapers on 200 URLs (profile pages and posts), resulting in 400 requests. See the top scrapers and follow the links to see the rationale behind these choices: You can also see best practices for using Twitter (X) scrapers effectively while adhering to X.com’s policies and ethical data scraping practices.