AI-Powered Top GitHub Talent Sourcing (by Language & Location) to Google Sheet
This n8n template is a powerful talent sourcing engine that finds, analyzes, and scores GitHub contributors using a custom AI formula.
This workflow is ideal for technical recruiters, hiring managers, and team leads who want to build a pipeline of qualified candidates based on specific technical skills and location.
Self-Hosted Only
This Workflow uses a community contribution and is designed and tested for self-hosted n8n instances only.
How it works
- The workflow runs on a Schedule Trigger (e.g., hourly) to constantly find new candidates.
- A BrowserAct node ("Run a workflow task") initiates a scraping job on GitHub based on your criteria (e.g., "Python" developers in "Berlin").
- A second BrowserAct node ("Get details") waits for the scraping to complete. If the job fails, a Slack alert is sent.
- A Code node processes the raw scraped data, splitting the list of developers into individual items.
- An AI Agent , powered by Google Gemini , analyzes each profile. It scores their resume/summary and calculates a final weighted
FinalScore based on their followers, repositories, and resume quality.
- The structured and scored candidate data is then saved to a Google Sheet , using the "Name" column to prevent duplicates.
- A final Slack message is sent to notify you that the GitHub contributors list has been successfully updated.
Requirements
- BrowserAct API account for web scraping
- BrowserAct "Source Top GitHub Contributors by Language & Location" Template
- BrowserAct n8n Community Node -> (n8n Nodes BrowserAct)
- Gemini account for the AI Agent
- Google Sheets credentials for saving leads
- Slack credentials for sending notifications
Need Help?
Workflow Guidance and Showcase
