# GitHub Scraper (`bgfc97/github-scraper`) Actor

Scrape GitHub repositories, users, and search results via the official API — stars, forks, language, topics, license, owner, followers, dates. Proxy rotation to beat rate limits, optional token for higher limits.

- **URL**: https://apify.com/bgfc97/github-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.75 / 1,000 item scrapeds

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/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 Scraper 🐙

Pull structured **GitHub** data — repositories, users, and search results — straight from the official GitHub API. Stars, forks, language, topics, license, owner, followers, and dates, in one clean feed.

Great for developer-tool market research, OSS trend tracking, recruiting/talent sourcing, competitor analysis, and OSINT.

### Modes

- **Search repositories** — by any GitHub query (`language:python topic:ai stars:>1000`).
- **Search users** — find users/orgs by query.
- **Repository details** — full metadata for owner/name repos.
- **A user's repositories** — list everything a user/org owns.
- **User details** — profile, followers, public repo count.

### Input

```json
{
  "mode": "searchRepositories",
  "queries": ["language:python topic:ai stars:>1000"],
  "sort": "stars",
  "maxItems": 100,
  "proxyConfiguration": { "useApifyProxy": true }
}
```

Optional `githubToken` raises the rate limit to 5000/hour; without it, proxy rotation spreads unauthenticated requests across IPs.

### Output (repository row)

```json
{
  "type": "repository",
  "full_name": "openai/whisper",
  "owner": "openai",
  "stars": 68000,
  "forks": 8100,
  "language": "Python",
  "topics": ["speech-recognition", "ml"],
  "license": "MIT",
  "created_at": "2022-09-16T...",
  "pushed_at": "2026-07-10T...",
  "url": "https://github.com/openai/whisper"
}
```

### Notes

- Uses the official, documented GitHub REST API — stable and legal.
- Search API returns up to 1000 results per query.
- The account running the Actor pays for proxy usage.

# Actor input Schema

## `mode` (type: `string`):

What to fetch.

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

GitHub search queries (used for Search modes), e.g. 'language:python stars:>1000 topic:ai'.

## `repos` (type: `array`):

Repos as owner/name or GitHub URLs (used for Repository details).

## `users` (type: `array`):

Usernames or org names (used for User details / A user's repositories).

## `sort` (type: `string`):

Sort order for search results.

## `order` (type: `string`):

Ascending or descending (when sort is not best-match).

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

Max results per query / per user (GitHub search caps at 1000).

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

Optional personal access token to raise the rate limit to 5000/hour. Leave empty to run unauthenticated (proxy rotates IPs).

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

Parallel requests.

## `proxyConfiguration` (type: `object`):

Apify proxy rotates IPs to beat GitHub's unauthenticated rate limit. The account running the Actor pays for proxy usage.

## Actor input object example

```json
{
  "mode": "searchRepositories",
  "queries": [
    "language:python topic:ai stars:>1000"
  ],
  "repos": [],
  "users": [],
  "sort": "best-match",
  "order": "desc",
  "maxItems": 100,
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "queries": [
        "language:python topic:ai stars:>1000"
    ],
    "repos": [],
    "users": [],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/github-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 = {
    "queries": ["language:python topic:ai stars:>1000"],
    "repos": [],
    "users": [],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/github-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 '{
  "queries": [
    "language:python topic:ai stars:>1000"
  ],
  "repos": [],
  "users": [],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call bgfc97/github-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bgfc97/github-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/cOcJ7hRIBRb9U5H1x/builds/8cDYVyGkVWwLa3iCL/openapi.json
