# Github Trending Repos (`sweet_rebel/github-trending-repos`) Actor

- **URL**: https://apify.com/sweet\_rebel/github-trending-repos.md
- **Developed by:** [Rajat Sharda](https://apify.com/sweet_rebel) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 repository scrapeds

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 Trending Repositories Scraper

A reliable, high-performance, and lightweight web scraper designed to extract trending repositories, their statistics, creators, programming languages, and descriptions from GitHub's live database. Perfect for developers, researchers, and autonomous AI agents looking to monitor what is current and hot on GitHub.

### Features

- **Trending Discovery**: Pulls the newest, highest-performing, or most starred repositories matching recent creation ranges.
- **Detailed Metadata**: Captures repo names, full descriptions, stars, forks, main programming language, direct link, and owner name.
- **Resilient & Fast**: Backed by stable, optimized endpoints for maximum speed and 100% uptime without anti-bot blockage.
- **Pay-Per-Event (PPE) Pricing**: Charged strictly based on actual scraped repos, ensuring transparent and cost-effective billing.

### Input Parameters

The Actor accepts the following input in JSON format:

| Field | Type | Required | Default | Description |
| :--- | :--- | :--- | :--- | :--- |
| `max_items` | Integer | No | `10` | The maximum number of trending repositories to scrape in a single run. |

#### Example Input

```json
{
  "max_items": 5
}
```

### Output Schema

The scraped data is pushed directly to your default Apify dataset in JSON format with the following fields:

| Field | Type | Description |
| :--- | :--- | :--- |
| `name` | String | The name of the repository. |
| `full_name` | String | The owner and repo name (e.g. `owner/repo`). |
| `description` | String | Description of the repository. |
| `stars` | Integer | The number of stars (stargazers count) the repo has. |
| `forks` | Integer | The number of forks the repo has. |
| `url` | String | Direct URL to the GitHub repository. |
| `owner` | String | The login username/organization name of the repository owner. |
| `language` | String | The primary programming language used. |
| `created_at` | String | The ISO timestamp of repository creation. |

#### Example Output

```json
{
  "name": "hermes-agent",
  "full_name": "nousresearch/hermes-agent",
  "description": "An autonomous agent platform powered by Nous Research.",
  "stars": 12450,
  "forks": 840,
  "url": "https://github.com/nousresearch/hermes-agent",
  "owner": "nousresearch",
  "language": "Python",
  "created_at": "2026-06-01T12:00:00Z"
}
```

### Pricing Configuration

This Actor utilizes Apify's **Pay-Per-Event (PPE)** monetization model.

- **Primary Event**: `repo-scraped`
- **Cost**: **$0.005** per successfully scraped repository.
- You only pay for what is successfully extracted and delivered to your dataset!

## Actor input object example

```json
{}
```

# 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("sweet_rebel/github-trending-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("sweet_rebel/github-trending-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 '{}' |
apify call sweet_rebel/github-trending-repos --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RjderqO6ApF5QyRD7/builds/dhF4AygjOybISUo5d/openapi.json