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 YouTube Scrapers: Tools for Shorts, Comments & Emails (Free & Paid)
YouTube is a highly dynamic platform that presents significant challenges for data extraction. Features like infinite scroll layouts (especially common on YouTube Shorts) and aggressive anti-bot protections mean that standard web scrapers often fail to extract data reliably without getting blocked. To overcome these hurdles, specialized services are essential.
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
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 Instagram Scrapers: Apify vs Python vs Bright Data
Instagram is one of the most aggressive platforms when it comes to blocking automated scraping. We show how to scrape Instagram reliably using Python and Instagram scraper APIs. In this guide, you’ll learn how to collect different types of Instagram data, including profiles, posts, and comments.
Best Glassdoor Scraper Tools and Python Tutorial
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.
Social Media Scraping Benchmark with Tools & Case Studies
There are different approaches to collecting data from social media platforms: Evaluate the performance of leading social media scraper APIs across various platforms and compare the options based on their pricing structures.
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.
How to Scrape YouTube Video Data with Python
This guide explains how to extract metadata from YouTube video pages programmatically using Python. We’ll walk through the core scraping logic, handling of embedded JavaScript, and proxy-based strategies to improve reliability: This technique does not use the official YouTube API, relying instead on publicly accessible HTML and JSON structures.