How to Automate GitHub Lead Generation with n8n, Make, and Zapier (2026)

Manually checking GitHub for new leads — who starred your repo, who mentioned your product in an issue, who is asking about problems you solve — does not scale. The developers who signal buying intent on GitHub do so continuously and across hundreds of repos. The only way to capture these signals reliably is automation. This guide shows three paths: building your own GitHub polling workflow in n8n or Make, using Zapier, or using GitLeads as the signal layer.

Option 1: Build a GitHub Lead Workflow in n8n

n8n is an open-source automation platform that runs self-hosted. It supports the GitHub API natively via HTTP Request nodes and can route lead data to any downstream tool. The basic GitHub stargazer polling workflow looks like this:

1. Schedule Trigger node: fires every 15 minutes.
2. HTTP Request node: GET /repos/{owner}/{repo}/stargazers?per_page=100&sort=created — returns the most recent stargazers.
3. Code node: compare new stargazers against a Postgres or Google Sheets list of already-processed users.
4. HTTP Request node (loop): for each new stargazer, GET /users/{username} to fetch profile data.
5. Set node: map name, email, bio, company, GitHub URL into your lead schema.
6. Route node: send to HubSpot, Slack, Smartlead, or your webhook.

The challenge with this approach is handling GitHub API rate limits (5,000 req/hr per token), incremental polling (avoiding re-processing old stargazers), and profile enrichment failures when emails are hidden. At scale, you also need to manage multiple tracked repos and keyword searches separately — each with its own polling loop.

Option 2: Build a GitHub Lead Workflow in Make

Make (formerly Integromat) has a native GitHub module with triggers for new commits, issues, and pull requests — but not for new stargazers. For stargazer monitoring you will need to use the HTTP module to call the GitHub API directly, then use an Iterator module to loop over new results. The overall structure mirrors the n8n approach above. Make's visual builder makes the routing logic easier to see, but the underlying rate limit and deduplication challenges are the same.

Option 3: Use Zapier for GitHub Lead Automation

Zapier has a GitHub integration with triggers for new commits, issues, and pull requests. As with Make, there is no native "new stargazer" trigger. You can work around this with a Zapier Webhook trigger paired with a GitHub webhook on your repo — GitHub will POST to Zapier when a new star event occurs. The downside: GitHub repo webhooks require admin access to the repo, so you cannot monitor competitor repos this way. You are limited to repos you own.

The Simpler Path: Use GitLeads as the Signal Layer

All three approaches above require ongoing maintenance: rate limit handling, deduplication logic, polling schedules, and error handling for failed enrichment calls. GitLeads handles this infrastructure and exposes a simple webhook output that feeds into n8n, Make, or Zapier.

The setup: connect GitLeads to your repos and keyword monitors. GitLeads captures new signals in real time — stargazers on any tracked repo (including competitor repos you do not own), keyword mentions in issues, PRs, and discussions — enriches each lead with public profile data, and POSTs a structured JSON payload to your n8n or Make webhook.

// Example GitLeads webhook payload
{
  "signal": "stargazer",
  "repo": "vercel/next.js",
  "starred_at": "2026-04-22T10:14:00Z",
  "lead": {
    "github_username": "jane_dev",
    "name": "Jane Smith",
    "email": "jane@example.com",
    "bio": "Building developer tools @ Acme",
    "company": "Acme Corp",
    "location": "Berlin",
    "followers": 1240,
    "public_repos": 38,
    "top_languages": ["TypeScript", "Go", "Rust"]
  }
}

Your n8n or Make scenario receives this payload and routes it — to HubSpot, Notion, a Google Sheet, a Slack channel, or an email sequence — based on whatever conditions you want to apply. The GitHub polling, rate limit handling, and enrichment are fully abstracted away.

Keyword Signal Automation

Beyond stargazers, GitLeads also monitors GitHub issues, pull requests, discussions, and commit messages for keyword matches. Set up keyword monitors for terms like "looking for [product category]", "[competitor name] alternative", or "[problem your product solves]". Every match triggers a webhook payload with the issue/PR URL, the matching text, and the author's enriched profile. This is the GitHub equivalent of a brand mention alert — but the developers posting are often in active buying mode.