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Scrape Detailed GitHub Profiles to Google Sheets Using BrowserAct

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Created by: Madame AI Team | Kai || madame-ai

Madame AI Team | Kai

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Last update a month ago

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Scraping GitHub Users Activity

Scrape Detailed GitHub Profiles to Google Sheets Using BrowserAct

This template is a sophisticated data enrichment and reporting tool that scrapes detailed GitHub user profiles and organizes the information into dedicated, structured reports within a Google Sheet.

This workflow is essential for technical recruiters, talent acquisition teams, and business intelligence analysts who need to dive deep into a pre-qualified list of developers to understand their recent activity, repositories, and technical footprint.

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 is triggered manually but can be started by a Schedule Trigger or by integrating directly with a candidate sourcing workflow (like the "Source Top GitHub Contributors" template).
  • A Google Sheets node reads a list of target GitHub user profile URLs from a master candidate sheet.
  • The Loop Over Items node processes each user one by one.
  • A Slack notification is sent at the beginning of the loop to announce that the scraping process has started for the user.
  • A BrowserAct node visits the user's GitHub profile URL and scrapes all available data, including profile info, repositories, and social links.
  • A custom Code node (labeled "Code in JavaScript") performs a critical task: it cleans, fixes, and consolidates the complex, raw scraped data into a single, clean JSON object.
  • The workflow then dynamically manages your output. It creates a new sheet dedicated to the user (named after them) and clears it to ensure a fresh report every time.
  • The consolidated data is separated into three paths: main profile data, links, and repositories.
  • Three final Google Sheets nodes then append the structured data to the user's dedicated sheet, creating a clear, multi-section report (User Data, User Links, User Repositories).

Requirements

  • BrowserAct API account for web scraping
  • BrowserAct "Scraping GitHub Users Activity & Data" Template
  • BrowserAct "** Source Top GitHub Contributors by Language & Location**" Template Output
  • BrowserAct n8n Community Node -> (n8n Nodes BrowserAct)
  • Google Sheets credentials for input (candidate list) and structured output (individual user sheets)
  • Slack credentials for sending notifications

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