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.
{
"doc": {
"source_id": 69642661,
"id": "github_people_6964765432661",
"image": "https://avatars.githubusercontent.com/u/6966456453543542661?v=4",
"bio": null,
"contact_info": {
"blog": "example-blog.net",
"twitter": "example-twitter-handle"
},
"company": null,
"events_url": "https://api.github.com/users/alwin45438/events{/privacy}",
"follower_count": 14,
"following_count": 28,
"hireable": null,
"url": "https://github.com/alwin485623345",
"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": "https://www.github.com/FOSS-Cell-GECGFSFGJDEEDVPKD/Hide-it",
"has_downloads": true,
"has_issues": false,
"has_pages": false,
"has_projects": true,
"has_wiki": true,
"website": "https://hide-it.netlify.app/",
"url": "https://github.com/alwin485436722332453/Hide-it",
"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 85 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?
Features | Datasets | Scrapers |
---|---|---|
Simple to use | ||
Stable deliver and formats | ||
Cost-effective* | ||
Historic changes | ||
Data collection and expertise required | ||
Real-time 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 500+ companies choose Coresignal?
Always fresh datasets
At Coresignal, the datasets are always fresh. That’s why you don’t need to bother with scrapers anymore.
Dedicated account managers
Our dedicated account managers will always be there to help you navigate the data world.
Responsible data collection
We believe in ethical data collection. Therefore, you won’t have to worry about data compliance issues.
Data at scale
Our extensive data coverage will cover all your data-related needs.
Stable service
We take care of all data collection issues. All you need to do is use it.
Reliable and convenient delivery
We deliver data in JSON, CSV, and HTML. Choose what’s best for you.