# GitHub Trending Scraper – Repos by Language & Period (`fluyeporlaweb/github-trending-scraper`) Actor

Scrape GitHub Trending repositories daily, weekly or monthly by language: name, URL, description, stars, forks, stars gained. Repos only, no login.

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

## Pricing

from $1.80 / 1,000 repositories

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## GitHub Trending Scraper – Repos by Language & Period

**GitHub Trending scraper** that reads the public **github.com/trending** page and returns **repository name, URL, description, language, total stars, forks and stars gained** today, this week or this month, for any programming language.

### What does it do?

- Trending repositories for all languages or a list of languages.
- Daily, weekly or monthly periods, optional spoken-language filter.
- Rank, owner/name, URL, description, language, stars, forks and stars gained in the period.
- Repository data only: no "built by" contributors, avatars or user profiles.

### Use cases

- **Developer newsletters**: weekly trending repos by stack.
- **AI/open-source scouting**: spot fast-rising projects early.
- **VC and DevRel research**: track momentum of tools in your category.
- **AI agents**: give an LLM a fresh list of popular repos to summarize.

### Input

| Field | Description |
|---|---|
| `since` | Trending period. Example: weekly |
| `languages` | One trending list per language (GitHub slug). Empty = all languages. Example: python, typescript, rust |
| `spokenLanguage` | Optional ISO 639-1 code for README language. Example: zh |
| `maxItems` | GitHub shows up to 25 per list. Example: 25 |

Example input:

```json
{
  "since": "weekly",
  "languages": [
    "python",
    "typescript"
  ],
  "maxItems": 10
}
```

### Output

Real output (first items of a run on 30 Oct 2026):

```json
[
  {
    "rank": 1,
    "fullName": "AgriciDaniel/claude-seo",
    "name": "claude-seo",
    "url": "https://github.com/AgriciDaniel/claude-seo",
    "description": "Universal SEO skill for Claude Code. 26 sub-skills + 19 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, agent readiness (Lighthouse Agentic Browsing, WebMCP, llms.txt), backlinks, local SEO, e-commerce, international SEO, Google APIs, and PDF/Excel reporting. 9 optional extensions for live SEO data.",
    "language": "Python",
    "stars": 24196,
    "forks": 3237,
    "starsInPeriod": 4110,
    "period": "weekly",
    "languageFilter": "python"
  },
  {
    "rank": 2,
    "fullName": "TauricResearch/TradingAgents",
    "name": "TradingAgents",
    "url": "https://github.com/TauricResearch/TradingAgents",
    "description": "TradingAgents: Multi-Agents LLM Financial Trading Framework",
    "language": "Python",
    "stars": 118501,
    "forks": 22661,
    "starsInPeriod": 5557,
    "period": "weekly",
    "languageFilter": "python"
  }
]
```

Export the results as JSON, CSV or Excel, read them through the API, or send them to Google Sheets, Make, Zapier, n8n or webhooks. You can also run this Actor from AI agents through the Apify MCP server.

### Pricing

Pay per event: **$1.80 per 1,000 repositorys** plus $0.00005 per run start. There is no extra platform usage charge.

### FAQ

**Do I need a GitHub token?** No. The trending page is public and allowed by GitHub's robots.txt.

**Why only 25 per language?** GitHub Trending itself lists up to 25 repositories per page; some days it shows fewer.

**Does it collect developer data?** No. Contributor avatars and usernames in "Built by" are dropped; only the repository identifier (owner/name) is kept.

**How often does trending change?** GitHub recomputes it several times a day; schedule the Actor daily or hourly.

**Language slugs?** Use the slug from the URL, e.g. c++ → c%2B%2B, "jupyter notebook" → jupyter-notebook.

**Do I need a login or API key?** No. It reads GitHub's public trending page; you only need an Apify account.

**Can AI agents use it?** Yes. Call it through the Apify API, or from Claude, Cursor or any MCP client via the Apify MCP server.

### Data source and license

Source: [GitHub Trending](https://github.com/trending), public page permitted by github.com/robots.txt. Use complies with GitHub's Acceptable Use Policies (no personal information, no spam). Repository descriptions belong to their owners. Not affiliated with GitHub.

This Actor is not affiliated with or endorsed by the data source. You are responsible for using the data in line with the source's license and terms.

# Actor input Schema

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

Trending period. Example: weekly

## `languages` (type: `array`):

One trending list per language (GitHub slug). Empty = all languages. Example: python, typescript, rust

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

Optional ISO 639-1 code for README language. Example: zh

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

GitHub shows up to 25 per list. Example: 25

## Actor input object example

```json
{
  "since": "daily",
  "maxItems": 25
}
```

# Actor output Schema

## `items` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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 = {
    "since": "daily"
};

// Run the Actor and wait for it to finish
const run = await client.actor("fluyeporlaweb/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 = { "since": "daily" }

# Run the Actor and wait for it to finish
run = client.actor("fluyeporlaweb/github-trending-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "since": "daily"
}' |
apify call fluyeporlaweb/github-trending-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fluyeporlaweb/github-trending-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/H16tp3ffPqDXPZix7/builds/bUtf3WMdLZ1cvGp5k/openapi.json