# GitHub Repos Scraper — Repositories by User or Search (`omao/github-repos`) Actor

List a user's or organization's GitHub repositories, or search repos, into clean JSON: name, owner, description, stars, forks, language, topics, license and dates. Powered by the official GitHub API. Optional token for higher rate limits.

- **URL**: https://apify.com/omao/github-repos.md
- **Developed by:** [Marouane Oulabass](https://apify.com/omao) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 0 monthly users, 81.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.72 / 1,000 repos

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 Repos Scraper — Repositories by User, Org or Search

**List a user's or organization's GitHub repositories — or search all of GitHub — as clean JSON.** Give this actor usernames/orgs (like `apify`, `torvalds`) or a search query (like `web scraping language:python stars:>1000`) and get back structured data per repo: name, owner, description, stars, forks, language, topics, license and dates. Powered by the official GitHub API.

> AI-agent ready: this Actor is callable and payable by AI agents via [x402](https://docs.apify.com/platform/integrations/x402) (USDC on Base), no Apify account required.

Skip pagination and rate-limit headaches — get a clean repo dataset in one run.

### Who uses this

- 🧑‍💻 **Developers & OSS maintainers** — inventory repos across users and orgs.
- 📊 **Tech analysts & researchers** — study language trends, stars and activity at scale.
- 🔎 **Recruiters & sourcers** — explore a developer's or org's public work.
- 🤖 **Data & AI pipelines** — build datasets of repos matching precise search criteria.
- 📈 **DevRel & competitive intel** — track stars, forks and releases of key projects.

### What you get — one clean row per repository

| Field | Description |
|---|---|
| `fullName` | `owner/name` |
| `owner` + `ownerType` | Owner and User/Organization |
| `description` | Repo description |
| `stars` + `forks` + `watchers` | Popularity metrics |
| `openIssues` | Open issues count |
| `language` | Primary language |
| `topics` | Repo topics/tags |
| `license` | License (e.g. MIT) |
| `isFork`, `isArchived` | Status flags |
| `createdAt`, `updatedAt`, `pushedAt` | Timestamps |
| `url`, `homepage`, `defaultBranch`, `size` | Links & meta |

### Example

**Input**

```json
{ "searchQueries": ["web scraping language:python stars:>1000"], "users": ["apify"], "maxReposPerSource": 100 }
```

**Output (one item)**

```json
{
  "fullName": "apify/crawlee",
  "owner": "apify", "ownerType": "Organization",
  "description": "Crawlee—A web scraping and browser automation library",
  "stars": 15200, "forks": 660, "language": "TypeScript",
  "topics": ["scraping", "crawling", "automation"],
  "license": "Apache-2.0", "pushedAt": "2026-07-13T09:12:00Z"
}
```

### Why this scraper

- ✅ **Official source** — the GitHub REST API, always current.
- 🔎 **Three ways in** — by user, by org, or by GitHub search query.
- ⭐ **Rich metrics** — stars, forks, watchers, issues, language and topics.
- 🔑 **Optional token** — add a GitHub token to raise the rate limit (60/h → 5,000/h).
- ⚡ **Fast & affordable** — pay only per repo returned.

### Input options

- `users` — GitHub usernames or org names whose repos to list.
- `searchQueries` — GitHub repo search queries (full search syntax supported).
- `maxReposPerSource` — cap repos per user/query (default 100).
- `githubToken` *(optional, secret)* — raises the API rate limit.

### FAQ

**By user or by search?** Both — pass `users`/orgs, `searchQueries`, or both in one run.

**Does it support GitHub's search syntax?** Yes — e.g. `language:python stars:>1000 pushed:>2025-01-01`.

**Do I need a token?** No — it works anonymously (60 requests/h). Add `githubToken` to raise it to 5,000/h for large runs.

**How fresh is the data?** Live from the GitHub API on every run.

**Can I export to CSV/Excel/Google Sheets?** Yes — the dataset exports to JSON, CSV, Excel and HTML, or pull it via the API.

**What does it cost?** Pay-per-repo — you're only charged for repos actually returned.

***

*Tip: track a competitor's org weekly and diff `stars`/`pushedAt` to monitor their momentum and releases.*

# Actor input Schema

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

GitHub usernames or org names whose repositories to list (e.g. torvalds, apify).

## `searchQueries` (type: `array`):

GitHub repository search queries (e.g. 'web scraping language:python stars:>1000').

## `maxReposPerSource` (type: `integer`):

Cap the number of repos returned per user or search query.

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

Optional GitHub personal access token to raise the API rate limit (60/h anonymous -> 5000/h).

## `healthCheckMode` (type: `boolean`):

Internal monitoring: fetch a canary user's repos and FAIL if broken (no billing).

## Actor input object example

```json
{
  "users": [
    "apify",
    "torvalds"
  ],
  "searchQueries": [
    "web scraping language:python stars:>1000"
  ],
  "maxReposPerSource": 30,
  "healthCheckMode": false
}
```

# Actor output Schema

## `repos` (type: `string`):

All repositories (name, owner, stars, forks, language, topics, license, dates).

# 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 = {
    "users": [
        "apify"
    ],
    "maxReposPerSource": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("omao/github-repos").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 = {
    "users": ["apify"],
    "maxReposPerSource": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("omao/github-repos").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 '{
  "users": [
    "apify"
  ],
  "maxReposPerSource": 30
}' |
apify call omao/github-repos --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/cSQwUS58rik1pBjR5/builds/f9gfdwpyZNT6vd5Lg/openapi.json