GitHub Developer Leads

Extract developer leads from GitHub. Search repositories, scrape stargazers, enrich user profiles with emails and company info, and list organization members.

What it does

This actor extracts developer contact information from GitHub for sales prospecting, recruiting, and community analysis. It has four search modes:

1. Repository Search

Find repositories by keyword, programming language, and star count. Get the repo owner's profile with each result.

Example: Find all Python machine learning repos with 100+ stars, and get each maintainer's email and company.

2. Stargazer Extraction

Extract every user who starred a specific repository. These are developers who are actively interested in that technology.

Example: Get all 5,000 stargazers of langchain-ai/langchain with their emails and companies — these are AI/LLM developers you can reach out to.

3. User Profile Enrichment

Look up full profiles for a list of GitHub usernames. Get name, email, company, location, bio, and social links.

4. Organization Members

List all public members of a GitHub organization (e.g., Google, Facebook, Vercel).

Output fields

Field	Description
login	GitHub username
name	Full name
email	Public email address (~30% of users have this set)
company	Company or employer
location	Geographic location
bio	Profile bio
blog	Website URL
twitterUsername	Twitter/X handle
publicRepos	Number of public repos
followers	Follower count
profileUrl	GitHub profile link
repoName	Repository name (repo search / stargazers)
repoFullName	Full owner/repo name
repoStars	Star count
repoLanguage	Primary language
repoDescription	Repo description
source	Which search mode produced this result

Rate limits

• Without token: 60 requests/hour. Suitable for small extractions (< 60 results).
• With token: 5,000 requests/hour. Required for large stargazer lists or batch enrichment.

To create a token: Go to github.com/settings/tokens → Generate new token (classic) → No scopes needed for public data.

Use cases

• Sales prospecting: Find developers using competitor tools (via stargazers) and reach out with your alternative
• Recruiting: Build lists of developers by language, location, and activity level
• Market research: Analyze which technologies are gaining adoption by tracking stargazer growth
• Community building: Find active contributors in your ecosystem
• Competitive intelligence: See who stars competitor repos

Example inputs

Search Python ML repos

{
    "searchType": "repoSearch",
    "query": "machine learning",
    "language": "python",
    "minStars": 100,
    "enrichProfiles": true,
    "maxResults": 50
}

Get LangChain stargazers

{
    "searchType": "stargazers",
    "repoFullName": "langchain-ai/langchain",
    "enrichProfiles": true,
    "maxResults": 200,
    "githubToken": "ghp_your_token_here"
}

Enrich specific users

{
    "searchType": "userProfile",
    "usernames": ["torvalds", "gvanrossum", "maboroshi"],
    "maxResults": 100
}

List Google org members

{
    "searchType": "orgMembers",
    "orgName": "google",
    "enrichProfiles": true,
    "maxResults": 100,
    "githubToken": "ghp_your_token_here"
}

Cost

Approximately $0.002 per result with pay-per-event pricing. A 100-result extraction costs ~$0.20.

Data source

All data comes from the GitHub REST API. Only publicly available information is extracted. No authentication is required for basic usage, but a GitHub token is recommended for higher rate limits.