Gab Scraper

Scrape Gab and collect: profile names, images, handles, status, shares, followers, region, views, posts, timestamp, likes, comments, groups, marketplace, members, organizations, and more.

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Use Bright Data’s Web Scraper IDE,
or request a Gab dataset

Gab Scraper use cases

  • Collect Gab comments on specific posts
  • Scrape Gab to monitor brand awareness
  • Find influencers with high social impact
  • Analyze similar brands’ social media activity

Gab Scraper Overview

  • Data scraping for beginners – easy to use
  • Leveraging proprietary site unlocking technology
  • Scalable – collect as many pages and profiles as you need at high speed
  • Bright Data is fully committed to complying with all relevant data protection legal requirements, including GDPR and CCPA.
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Web Scraper IDE Features

Leave your scraping limitations behind with our hosted cloud solution
Pre-made web scraper templates
Get started quickly and adapt existing code to your specific needs
Interactive preview
Watch your code as you build it and debug errors in your code quickly
Built-in debug tools
Debug what happened in a past crawl to understand what needs fixing in the next version
Browser scripting in JavaScript

Handle your browser control and parsing codes with simple procedural JavaScript

Ready-made functions

Capture browser network calls, configure a proxy, extract data from lazy loading UI, and more!

Easy parser creation

Write your parsers in cheerio and run live previews to see what data it produced

Auto-scaling infrastructure

You don’t need to invest in the hardware or software to manage an enterprise-grade web scraper


Emulate a user in any geo-location with built-in fingerprinting, automated retries, CAPTCHA solving, and more.

Built-in debug tools

Trigger crawls on a schedule or by API, and connect our API to major storage platforms

What you can do with the public data you scrape?

  • Identifying influential users on by analyzing the frequency and reach of their posts and the engagement they receive from other users.
  • Analyzing the language and terminology used on to understand the cultural and political beliefs and values of its users.
  • Tracking changes in the topics and issues discussed on over time to understand what issues are important to its users and how their interests evolve.
  • Using machine learning techniques to classify the sentiment of posts on and understand how users feel about different issues and topics.
  • Developing and evaluating strategies for combating misinformation and fake news on by analyzing the spread and impact of false information on the platform.
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Everything you need from a web scraping solution

Want to learn more?

Talk to an expert to discuss your data collection needs and see our platform in action.

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