Don’t Bother with a GitHub Scraper. Get a Fresh Dataset

If you’re looking for a GitHub scraper, then it’s surely better for you to save time and resources with a fresh GitHub dataset instead. GitHub scraping tools often encounter anti-scraping measures that are difficult to overcome. That’s why we’ve done the data extraction from GitHub for you and came up with a complete and fresh dataset.

Data points Example values
Bio Experienced developer focusing on AI-related projects.
Location Indonesia
Username john-doe
Company SJTU
Hireable True
Follower count 14
Public gist count 0
Public repo count 2
	"doc": {
		"source_id": 69642661,
		"id": "github_people_6964765432661",
		"image": "",
		"bio": null,
		"contact_info": {
			"blog": "",
			"twitter": "example-twitter-handle"
		"company": null,
		"events_url": "{/privacy}",
		"follower_count": 14,
		"following_count": 28,
		"hireable": null,
		"url": "",
		"location": "United States",
		"username": "alwin485356224",
		"name": "Alwin Joseph",
		"node_id": "MDQ6VXNlcjY5Ngfd236754bsjQyNjYx",
		"public_gist_count": 0,
		"public_repo_count": 9,
		"starred_repos_count": 70,
		"site_admin": false,
		"type": "User",
		"repo": [
				"disabled": false,
				"archived": false,
				"created_at": "2020-12-13T10:59:42Z",
				"default_branch": "main",
				"description": "A  progresive web app (PWA) which utilizes whitespaces to make text invisible",
				"fork": true,
				"fork_count": 0,
				"forked_from": "",
				"has_downloads": true,
				"has_issues": false,
				"has_pages": false,
				"has_projects": true,
				"has_wiki": true,
				"website": "",
				"url": "",
				"source_id": 32104543253607,
				"language": "JavaScript",
				"languages_distribution": {
					"JavaScript": 58.2,
					"Vue": 37.9,
					"SCSS": 3.0,
					"HTML": 0.9

What is GitHub data?

Github data contains four categories: GitHub Users, GitHub Branches, GitHub Contributions, and GitHub Releases. This is the same data you would get with a GitHub scraper, only structured into a complete dataset.

Unique GitHub dataset features

Global coverage

Our GitHub dataset contains 1B+ data records from all over the world for a well-rounded coverage, with over 80 months of historical data available.

Fresh data

99% of our GitHub Users data records are updated on a bi-monthly basis, keeping the data fresh and ready-to-use.

New records

Every month, we add new records from GitHub to our datasets, so you don’t miss any news and updates.

Why are datasets better than scrapers?

Simple to use
Stable deliver and formats
Historic changes
Data collection and expertise required
Real-time data
*if going for large volumes of data

Target market research

Instead of using a GitHub scraper, you can get a fresh GitHub dataset and start generating valuable target market insights. Learn about the demand for specific programming languages, tech, and tools. This GitHub data helps investors and HR companies make data-driven decisions about investment and hiring strategies.

Improve talent sourcing

If you need to find new employees, you don't need a GitHub scraper. A fresh and complete GitHub dataset will let you identify and engage with the best candidates. Learn the latest labor market trends, analyze contributions to projects and skills, and find the right talent for your organization.

Why do 400+ companies choose Coresignal?

Data freshness

Always fresh datasets

At Coresignal, the datasets are always fresh. That’s why you don’t need to bother with scrapers anymore.

Top quality client support

Dedicated account managers

Our dedicated account managers will always be there to help you navigate the data world.

Responsible data collection

Responsible data collection

We believe in ethical data collection. Therefore, you won’t have to worry about data compliance issues.

Flexible data formats

Data at scale

Our extensive data coverage will cover all your data-related needs.

Stable service

Stable service

We take care of all data collection issues. All you need to do is use it.

Reliable data provider

Reliable and convenient delivery

We deliver data in JSON, CSV, and HTML. Choose what’s best for you.