Overview
This parser extracts comprehensive GitHub profile data, including personal information, organizational affiliations, pinned projects, and contribution statistics. Perfect for developer portfolios, recruitment tools, and open-source analytics.
Simply provide the raw HTML of any public GitHub profile to get structured, actionable data.
Key Takeaways
- Convert any public GitHub profile HTML into structured JSON covering people, organizations, and activity.
- Feed recruiting dashboards or engineering analytics pipelines with a consistent schema across profiles.
- Combine the GitHub parser with social parsers to build multi-channel developer intelligence.
Table of Contents
- Overview
- Key Data Outputs
- How It Works
- Implementation Steps
- Best Practices
- Use Cases
- Next Steps
- FAQ
- Conclusion
Key Data Outputs
Profile Information
Extract core profile details including:
- Avatar — Profile picture URL
- Bio — User biography text
- Display Name — Full name displayed on the profile
- Username — GitHub handle
- Social — Array of connected social accounts with handle and URL
Organizations
Get a list of organizations the user belongs to, with each organization containing:
- Avatar — Organization logo URL
- Name — Organization name
- URL — Link to the organization profile
Pinned Repositories
Access the user's showcased projects with detailed information:
- Name — Repository name
- Owner — Repository owner username
- Description — Project description
- Language — Primary programming language
- Stars — Star count (integer)
- Forks — Fork count (integer)
- URL — Direct link to the repository
Contribution Statistics
Track developer activity with key metrics returned as integers:
- Followers — Number of followers
- Following — Number of accounts followed
- Repositories Count — Total public repositories
- Stars Count — Total stars received across all repositories
- Contributions Last Year — Number of contributions in the past year
How It Works
- Collect the HTML of a public GitHub profile via your crawler or fetch pipeline.
- Send the HTML payload to Parseium's
github-profileendpoint with your API key. - Receive normalized JSON that mirrors the schema below and feed it into your systems.
Implementation Steps
- Capture profile HTML on the cadence you need (e.g., daily for active candidates).
- Call the Parseium API and persist the JSON to your datastore or queue.
- Pipe the data into dashboards, alerts, or enrichment workflows for downstream teams.
- Monitor responses for pinned repository changes to trigger follow-up actions.
Best Practices
- Pair profile insights with repository metadata or traffic data for richer context.
- Refresh contributions weekly or monthly to track velocity over time.
- Cross-reference organizations with your CRM to spot shared connections.
- Use Parseium automations to notify recruiters when stars or followers spike.
Use Cases
- Build developer portfolios with live GitHub data.
- Create recruitment and talent discovery platforms.
- Analyze open-source contributions for security or compliance reviews.
- Monitor developer engagement and project popularity for community teams.
Next Steps
Review the Parseium docs [blocked] for authentication details, rate limits, and parser options. When you are ready, route high-intent profiles into the Prebuilt CTA workflow to convert visitors into trials or demos.