Scrape detailed GitHub profiles to Google Sheets using BrowserAct
Efficiently harvest comprehensive developer data by transforming raw GitHub profiles into structured, multi-tab Google Sheets reports. This automated pipeline handles everything from web scraping and JavaScript data cleaning to real-time Slack updates, making it a powerhouse for technical recruiters. It eliminates manual data entry, providing a clear view of candidate repositories and social presence at scale.
Run this with your team's AIWhat This Recipe Does
The GitHub Data Enrichment Engine automates the tedious process of researching developers and technical contributors. Instead of manually visiting individual profiles to gauge activity levels or project involvement, this workflow systematically extracts key data points from GitHub and organizes them into a centralized dashboard. By integrating directly with Google Sheets, you can input a list of usernames and receive a comprehensive report on their recent contributions, language preferences, and public activity. The automation handles the heavy lifting of data processing, including batching requests to ensure stability and merging disparate data points into a clean, readable format. Once the enrichment is complete, the system sends real-time notifications via Slack, ensuring your team stays informed about high-value prospects or community members immediately. This tool is essential for teams looking to scale their developer outreach, talent scouting, or competitive analysis without increasing headcount. By transforming raw GitHub profiles into structured business intelligence, you save hours of manual research and ensure your outreach is always backed by the latest data.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Google Sheets, Bot for Slack connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google Sheets and Bot for Slack once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Sales teams use this to identify active developers who are contributing to relevant open-source projects for targeted product outreach.
- Technical recruiters use this to monitor the coding activity and public contributions of potential candidates to prioritize high-quality leads.
- Developer Relations managers use this to track the engagement levels of community members and identify influential contributors for advocacy programs.
Frequently Asked Questions
What information do I need to provide to start the automation?
You simply need a Google Sheet containing a list of GitHub usernames you wish to research.
Can I customize the specific data points that are scraped from profiles?
Yes, the workflow can be adjusted to pull various public metrics including repository count, follower growth, or specific coding languages.
Does this require any coding knowledge to operate?
No, once the initial connection to your GitHub and Google accounts is established, the application runs automatically from your input list.
How are the results delivered to my team?
The enriched data is updated directly in your Google Sheet and a summary report is sent to your designated Slack channel.
Coming from n8n?
This recipe uses nodes like ManualTrigger, GoogleSheets, SplitInBatches, Code and 5 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
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