Professional network data
Leverage our top B2B datasets
Job posting data
Get access to hundreds of millions of jobs
Employee review data
Get data for employee sentiment analysis
Clean dataNEW
Enhanced professional network data
Employee data
Get data on global talent at scale
Funding data
Discover and analyze funding deals
Firmographic data
Unlock a 360° view of millions of companies
Technographic data
Analyze companies’ tech stacks
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MOST POPULAR USE CASES
Investment
Leveraging web data for informed investing
HR tech
Building or enhancing data-driven HR tech
Sales
Supercharging your lead generation engine
Marketing
Transforming marketing with web data
Market research
Conducting comprehensive market research
Lead enrichment
Use Coresignal’s data for enrichment
Talent analytics
Analyze talent from multiple perspectives
Talent sourcing
Comprehensive talent data for recruitment
Investment analysis
Source deals, evaluate risk and much more
Target market analysis
Build a complete view of the market
Competitive analysis
Identify and analyze competitors
B2B Intent data
Lesser-known ways to find intent signals
BY INDUSTRY
MOST POPULAR USE CASES
Investment
Leveraging web data for informed investing
HR tech
Building or enhancing data-driven HR tech
Sales
Supercharging your lead generation engine
Marketing
Transforming marketing with web data
Market research
Conducting comprehensive market research
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.
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.
| Data Points | Example Values |
|---|---|
| Bio | Experienced developer focusing on AI-related projects. |
| URL | https://github.com/john-doe |
| Location | Indonesia |
| Username | john-doe |
| Company | SJTU |
| Hireable | True |
| Follower count | 14 |
| Public gist count | 0 |
| Public repo count | 2 |
Why are datasets better than scrapers?
| Features | GitHub datasets | GitHub scrapers |
|---|---|---|
| Simple to use |
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| Stable delivery and formats |
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| Cost-effective* |
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| Historic changes |
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| Data collection and expertise required |
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| Real-time data |
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*if going for large volumes of data
