Github Users Scraper

Github Users Scraper

by getdataforme

Automatically scrape user lists from any GitHub repository. Extract contributors, stargazers, and profile data for analysis, outreach, or research.

374 runs
20 users
Try This Actor

Opens on Apify.com

About Github Users Scraper

Need to pull user data from GitHub for research, recruitment, or community analysis? I built this scraper because I kept running into the same wall: manually collecting GitHub user profiles is tedious and doesn't scale. This actor automates that. It navigates to any public GitHub repository you specify and extracts the list of users—think contributors, stargazers, or fork owners. You get clean, structured data like usernames, profile links, and often additional public details, ready to export as JSON, CSV, or into a dataset for your project. I use it mainly for two things: first, to build contact lists for open-source project outreach, and second, for competitive analysis to see who's engaging with similar tools. It saves hours of manual copying and pasting. Just input the repo URL, configure your run (you can set request delays to be respectful to GitHub's servers), and let it work. The data it provides is perfect for populating CRM systems, analyzing developer ecosystems, or finding talent for niche tech stacks. It’s a straightforward solution for a very specific, common data-gathering task.

What does this actor do?

Github Users Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

GitHub Users Scraper

Overview

This Apify actor scrapes public profile data from GitHub users. It's designed for developers, recruiters, or researchers who need to extract key information from GitHub profiles efficiently.

Key Features

  • Extracts core profile data: name, bio, company, and repository statistics.
  • Built on the Apify platform for reliable, scalable scraping.
  • Handles the target website's structure to deliver structured JSON output.

How to Use

Run the actor on the Apify platform. You can configure it via the input schema. The primary requirement is to provide the target GitHub profile URLs.

Input/Output

Input:
The actor requires a list of GitHub user profile URLs. Configure this in the input under a property like startUrls.

{
  "startUrls": ["https://github.com/username1", "https://github.com/username2"]
}

Output:
The actor outputs a dataset of items, each containing the scraped data for one user in structured JSON format. Each item includes:
* url: The source profile URL.
* name: The user's display name.
* description: The user's bio.
* company: The listed company.
* repoStats: An object containing counts for repositories, stars, followers, etc.

Find your results in the Dataset tab of the actor run. You can download them as JSON, CSV, or other formats via the Apify API: https://api.apify.com/v2/datasets/[DATASET_ID]/items?format=json.

Categories

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Github Users Scraper now on Apify. Free tier available with no credit card required.

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Actor Information

Developer
getdataforme
Pricing
Paid
Total Runs
374
Active Users
20
Apify Platform

Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.

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