# GitHub Organization / Team Scraper (`lovely_radiologist/github-org-scraper`) Actor

Given a GitHub organization name, returns all public repos, member list, aggregate language stats, and a total org activity score. Used for competitive and technical due diligence.

- **URL**: https://apify.com/lovely\_radiologist/github-org-scraper.md
- **Developed by:** [Vivek Gaur](https://apify.com/lovely_radiologist) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 1,000 organization profiles

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Organization / Team Scraper

Given a GitHub organization name, returns all public repos, member list, language breakdown, and an **org activity score** — structured for technical due diligence and competitive analysis.

### What's Included

- **All public repos** sorted by stars, with metadata
- **Language breakdown** across all repos (e.g. "60% TypeScript, 25% Python")
- **Public member list** with profile links
- **Org activity score** (0–100) — average health score of the top 5 repos

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `org` | string | — | GitHub org name (e.g. `huggingface`) |
| `includeMembers` | boolean | true | Fetch public member list |
| `maxRepos` | integer | 50 | Max repos to include |

### Output

```json
{
  "org": "huggingface",
  "name": "Hugging Face",
  "totalRepos": 312,
  "totalStars": 890000,
  "languagesBreakdown": { "Python": 198, "TypeScript": 45, "Rust": 12 },
  "primaryLanguage": "Python",
  "activityScore": 88,
  "topRepos": [
    { "name": "transformers", "stars": 130000, "language": "Python", "pushedAt": "2026-07-11T..." }
  ],
  "publicMembers": [
    { "login": "julien-c", "url": "https://github.com/julien-c", "avatarUrl": "..." }
  ],
  "fetchedAt": "2026-07-11T17:00:00.000Z"
}
```

### Pricing (PPE)

| Event | Price |
|-------|-------|
| `actor-start` | $0.01 |
| `org-profile` | $0.05 per org |

### Related Actors

- [GitHub Repository Insights](https://apify.com/TODO) — deep-dive specific repos from this org
- [GitHub Issues Monitor](https://apify.com/TODO) — monitor issues across org repos
- [Hugging Face Model Explorer](https://apify.com/TODO) — complements org intel with model data

# Actor input Schema

## `org` (type: `string`):

GitHub organization name (e.g. 'vercel', 'microsoft', 'huggingface').

## `includeMembers` (type: `boolean`):

Fetch the public member list (names and profiles).

## `maxRepos` (type: `integer`):

Maximum number of repos to include in the output.

## Actor input object example

```json
{
  "org": "huggingface",
  "includeMembers": true,
  "maxRepos": 50
}
```

# 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 = {
    "org": "huggingface"
};

// Run the Actor and wait for it to finish
const run = await client.actor("lovely_radiologist/github-org-scraper").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 = { "org": "huggingface" }

# Run the Actor and wait for it to finish
run = client.actor("lovely_radiologist/github-org-scraper").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 '{
  "org": "huggingface"
}' |
apify call lovely_radiologist/github-org-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Gz29u2G2HjqKV45wJ/builds/mvcHvaUq54DlghGjs/openapi.json