# GitHub Repo and Org B2B Lead Intelligence (`cherubic_snipefish/github-repo-org-b2b-lead-intelligence`) Actor

Find developer-tool, security, recruiting, and agency sales leads from GitHub repositories and organizations with activity, stars, language, topic, owner, website, and lead scoring.

- **URL**: https://apify.com/cherubic\_snipefish/github-repo-org-b2b-lead-intelligence.md
- **Developed by:** [Deva](https://apify.com/cherubic_snipefish) (community)
- **Categories:** Lead generation, Developer tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $25.00 / 1,000 qualified github b2b leads

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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 Repo and Org B2B Lead Intelligence

Find high-signal B2B leads from public GitHub repositories and organizations. This Actor searches GitHub repositories by topic, language, stars, and activity, then scores repos for developer-tool, security, AI, infrastructure, recruiting, and agency sales potential.

### What it does

- Searches the public GitHub repository API using your chosen queries.
- Extracts repository, owner, language, stars, forks, open issues, topics, website, and activity timestamps.
- Scores each repo from 0 to 100 using traction, recent activity, organization ownership, website presence, and B2B category signals.
- Filters out forks by default.
- Produces clean dataset rows for sales, recruiting, security, devtools, and investor workflows.

### Best use cases

- Devtools companies finding prospects using relevant technologies.
- Security vendors finding active open-source projects and organizations.
- Recruiters discovering fast-moving engineering teams.
- Agencies identifying companies with active technical initiatives.
- Investors and analysts monitoring developer traction by category.

### Example input

```json
{
  "queries": [
    "topic:llm stars:>50 pushed:>2026-01-01",
    "topic:devtools stars:>100 pushed:>2026-01-01",
    "topic:security stars:>50 pushed:>2026-01-01"
  ],
  "maxItems": 50,
  "minLeadScore": 40,
  "includeForks": false,
  "languages": ["TypeScript", "Python"],
  "githubToken": ""
}
```

### Output fields

| Field | Description |
|---|---|
| `leadScore` | 0 to 100 lead quality score. |
| `leadReason` | Human-readable reasons behind the score. |
| `fullName` | Repository full name. |
| `owner` / `ownerType` | Repository owner and whether it is a user or organization. |
| `language` | Primary repository language. |
| `stars`, `forks`, `openIssues` | GitHub traction/activity metrics. |
| `topics` | Repository topics. |
| `website` | Homepage when present. |
| `url` | GitHub repository URL. |
| `pushedAt`, `createdAt` | Activity timestamps. |
| `query` | Search query that found the repo. |

### Example output

```json
{
  "leadScore": 88,
  "leadReason": "high developer traction; active ecosystem/forks; recently active; organization-owned; has website; ai/devtools signal",
  "fullName": "example/llm-platform",
  "ownerType": "Organization",
  "language": "TypeScript",
  "stars": 2400,
  "forks": 320,
  "openIssues": 44,
  "topics": "llm, agents, devtools",
  "website": "https://example.com",
  "url": "https://github.com/example/llm-platform"
}
```

### Query examples

```text
topic:llm stars:>50 pushed:>2026-01-01
topic:devtools stars:>100 language:typescript pushed:>2026-01-01
topic:security stars:>50 pushed:>2026-01-01
topic:kubernetes stars:>100 pushed:>2026-01-01
topic:observability stars:>50 pushed:>2026-01-01
```

### Pricing strategy

Pay per qualified lead:

- small actor-start fee per run,
- qualified-lead event only when a scored repository lead is written to the dataset.

### Data source and limits

- Source: public GitHub REST API.
- Unauthenticated GitHub API calls have lower rate limits. Add a GitHub token if you need higher volume.
- This Actor does not scrape private repositories or bypass access controls.

### Roadmap

- Organization profile enrichment.
- Domain/company extraction from repo homepages.
- Hiring signal detection from README and GitHub topics.
- Stateful monitoring for newly active repositories.

# Actor input Schema

## `queries` (type: `array`):

GitHub repository search queries. Examples: topic:llm stars:>50 pushed:>2026-01-01

## `maxItems` (type: `integer`):

Maximum scored repository leads to return.

## `minLeadScore` (type: `integer`):

Only output repositories with this lead score or higher.

## `includeForks` (type: `boolean`):

Include forked repositories. Disabled by default to focus on original projects and companies.

## `languages` (type: `array`):

Optional primary language filters applied after search.

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

Optional GitHub token for higher rate limits. Leave empty for unauthenticated public API.

## Actor input object example

```json
{
  "queries": [
    "topic:llm stars:>50 pushed:>2026-01-01",
    "topic:devtools stars:>100 pushed:>2026-01-01",
    "topic:security stars:>50 pushed:>2026-01-01"
  ],
  "maxItems": 50,
  "minLeadScore": 40,
  "includeForks": false,
  "languages": []
}
```

# 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("cherubic_snipefish/github-repo-org-b2b-lead-intelligence").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("cherubic_snipefish/github-repo-org-b2b-lead-intelligence").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 cherubic_snipefish/github-repo-org-b2b-lead-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=cherubic_snipefish/github-repo-org-b2b-lead-intelligence",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2r0AKMwu2om4JCnsf/builds/4AE5OcHq3MQ7fCNCj/openapi.json