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Source top GitHub talent by language & location with Gemini AI and BrowserAct

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI Powered Top GitHub Talent Sourcing (by Language & Location) to Google Sheet This n8n template is a...

Best for

  • Lead Generation automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-browseract-workflows.browseract, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Madame AI Team | Kai.

Original n8n.io source

1.1 Workflow description

Title
Source top GitHub talent by language & location with Gemini AI and BrowserAct
Workflow name
Source top GitHub talent by language & location with Gemini AI and BrowserAct

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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 2 - Run a workflow task

Type / Role
n8n-nodes-browseract-workflows.browserAct - browserAct
Config choices
Version 1

Block 3 - Get details of a workflow task

Type / Role
n8n-nodes-browseract-workflows.browserAct - browserAct
Config choices
Version 1

Block 4 - Code in JavaScript

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 5 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 6 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 7 - Append or update row in sheet

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 8 - Gemini Chat

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 9 - Sticky Note - Intro

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Sticky Note - How to Use

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note - Need Help

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note - Sourcing Stage

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note - AI Scoring Engine

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note - Saving Candidates

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Send a message

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

Block 19 - Send a message1

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

3. Summary Table

Workflow Source top GitHub talent by language & location with Gemini AI and BrowserAct
Complexity advanced
Nodes 19
Categories Lead Generation, AI Chatbot
Author Madame AI Team | Kai
Published 19 Oct 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/9891/9891.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Lead Generation workflows AI Chatbot workflows

Frequently asked questions

What does Source top GitHub talent by language & location with Gemini AI and BrowserAct do?

AI Powered Top GitHub Talent Sourcing (by Language & Location) to Google Sheet This n8n template is a...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Chatbot use case.