# GitHub Trending Scraper (`leftwinglautus/github-trending-scraper`) Actor

Scrapes GitHub trending repositories by language and time period. Extracts repo name, author, description, language, stars, forks, and daily star growth.

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

## Pricing

from $1.00 / 1,000 results

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 Scraper

Scrape [GitHub Trending](https://github.com/trending) repositories filtered by programming language, time period, and spoken language. The actor parses the trending page HTML and returns structured data for each repo including name, author, description, stars, forks, and daily/weekly star growth.

### Features

- Filter trending repos by programming language (e.g. `python`, `javascript`, `go`)
- Choose a trending window: `daily`, `weekly`, or `monthly`
- Filter by spoken language code (e.g. `en`, `zh`, `es`)
- Extracts star counts, fork counts, and star growth for the selected period

### Input Fields

| Field | Type | Required | Default | Description |
| --- | --- | --- | --- | --- |
| `language` | string | ❌ | `""` | Filter trending repos by programming language (e.g. `python`, `javascript`, `go`). Leave empty for all languages. |
| `since` | string (enum) | ❌ | `daily` | Trending time period: `daily`, `weekly`, or `monthly`. |
| `spokenLanguage` | string | ❌ | `""` | Filter by spoken language code (e.g. `en`, `zh`, `es`). Leave empty for all. |
| `maxResults` | integer | ❌ | `30` | Maximum number of trending repositories to scrape (1–100). |

### Output Fields

Each pushed dataset item is a repository record with the following fields:

| Field | Type | Description |
| --- | --- | --- |
| `name` | string | Repository name. |
| `author` | string | Repository owner / author. |
| `url` | string | Full URL to the repository. |
| `description` | string | Repository description. |
| `language` | string | Primary programming language. |
| `stars` | integer | Total star count. |
| `forks` | integer | Total fork count. |
| `starsToday` | integer | Stars gained during the selected period (daily/weekly/monthly). |
| `totalStars` | integer | Total star count (alias of `stars`). |

### Usage Example

#### Today's trending Python repositories

```json
{
    "language": "python",
    "since": "daily",
    "maxResults": 30
}
```

#### Weekly trending repos across all languages

```json
{
    "since": "weekly",
    "maxResults": 50
}
```

#### Monthly trending Go repos in English

```json
{
    "language": "go",
    "since": "monthly",
    "spokenLanguage": "en",
    "maxResults": 25
}
```

#### Run via the Apify CLI

```bash
apify run github-trending-scraper --input '{"language":"python","since":"daily","maxResults":30}'
```

### Data Source

Trending repositories are scraped from `https://github.com/trending` by parsing the rendered HTML with BeautifulSoup.

# Actor input Schema

## `language` (type: `string`):

Filter trending repos by programming language (e.g. 'python', 'javascript', 'go'). Leave empty for all languages.

## `since` (type: `string`):

Trending time period.

## `spokenLanguage` (type: `string`):

Filter by spoken language code (e.g. 'en', 'zh', 'es'). Leave empty for all.

## `maxResults` (type: `integer`):

Maximum number of trending repositories to scrape.

## Actor input object example

```json
{
  "language": "",
  "since": "daily",
  "spokenLanguage": "",
  "maxResults": 30
}
```

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

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/EmxdkVvGOPciizvie/builds/4bVcdY9R3T1FsG0Q8/openapi.json