# GitHub Contributor Emails & Developer Leads — $0.25/1K (`scrapesignal_labs/github-contributor-email-leads`) Actor

Turn public GitHub repositories into developer leads with contribution counts, profiles, public emails, company, location, bio, website, and social details.

- **URL**: https://apify.com/scrapesignal\_labs/github-contributor-email-leads.md
- **Developed by:** [ScrapeSignal Labs](https://apify.com/scrapesignal_labs) (community)
- **Categories:** Lead generation, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.25 / 1,000 github developer leads

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## GitHub Contributor Emails & Developer Leads

Turn one or more public GitHub repositories into a clean contributor-lead dataset. The Actor uses GitHub's official REST API and only returns contact details people publish on their profiles or in public commit metadata.

### What you get

- repository and contribution count
- GitHub login, name, profile, avatar, bio, company, and location
- public profile or recent public-commit email, with its source clearly labeled
- website, X username, followers, public repository count, and account date
- `outreachReady` so CRM and agent workflows can filter records immediately

GitHub noreply addresses are excluded by default. Add an optional GitHub token for higher official API limits; the token is secret input and never appears in output.

### Example input

```json
{
  "repositories": ["apify/apify-sdk-js"],
  "maxContributorsPerRepository": 25,
  "includeProfiles": true,
  "inspectRecentCommits": true
}
```

Use the dataset as JSON, CSV, Excel, through the Apify API, in a schedule, webhook, Make, Zapier, or an AI/MCP workflow. Respect applicable privacy, platform, and outreach laws when using public contact data.

# Actor input Schema

## `repositories` (type: `array`):

One owner/repository slug or GitHub repository URL per line.

## `maxContributorsPerRepository` (type: `integer`):

Hard output and item-price ceiling for each repository.

## `includeProfiles` (type: `boolean`):

Add public name, email, company, location, website, bio, followers, and repository count.

## `inspectRecentCommits` (type: `boolean`):

When a profile has no public email, inspect recent commits by that contributor. GitHub noreply addresses remain excluded by default.

## `includeNoreplyEmails` (type: `boolean`):

Include users.noreply.github.com addresses. Leave off for outreach-ready output.

## `githubToken` (type: `string`):

Optional token for higher official API limits. Stored as a secret in the run input.

## `maxConcurrency` (type: `integer`):

Number of public GitHub requests made in parallel.

## `timeoutSeconds` (type: `integer`):

Maximum seconds to wait for each GitHub API request.

## Actor input object example

```json
{
  "repositories": [
    "apify/crawlee"
  ],
  "maxContributorsPerRepository": 5,
  "includeProfiles": true,
  "inspectRecentCommits": true,
  "includeNoreplyEmails": false,
  "maxConcurrency": 3,
  "timeoutSeconds": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesignal_labs/github-contributor-email-leads").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapesignal_labs/github-contributor-email-leads").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call scrapesignal_labs/github-contributor-email-leads --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesignal_labs/github-contributor-email-leads"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tvUCxjjMjWomOhgac/builds/8FZnwOfUhC0xnXd1T/openapi.json