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

Scrapes github.com/trending: the daily, weekly or monthly trending repositories or developers, by programming language and spoken language. One row per repo or developer with stars, forks, stars-in-period and description — no API key, no proxies.

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

## Pricing

from $1.20 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### What is GitHub Trending Repositories Scraper?

GitHub Trending Repositories Scraper is an Apify Actor that reads **github.com/trending** and **github.com/trending/developers** and turns them into structured rows — no API key, no proxies, no headless browser. Give it one or more programming-language slugs (or leave a row empty for all languages), a time range (`daily`, `weekly` or `monthly`) and a mode, and it returns **one row per trending repository** with stars, forks, stars gained in the period and top contributors, or **one row per trending developer** with their popular repo. Runs on Apify's schedule, webhook and API infrastructure, so a daily "what's trending in Rust" digest is a five-minute setup.

### Why use GitHub Trending Repositories Scraper?

- **Developer-relations and open-source teams** track which languages and repositories are gaining stars fastest, per day, week or month.
- **VCs and tech scouts** watch trending developers and repositories across languages like Python, Rust or TypeScript to spot early signal before it hits mainstream tech press.
- **Newsletter and content curators** automate a "GitHub Trending Today" digest instead of checking the page by hand every morning.
- **Competitive and market research** compares stars-in-period across a watchlist of languages on a recurring schedule.

### How to use GitHub Trending Repositories Scraper

1. Fill **Programming languages** with GitHub language slugs, e.g. `javascript`, `python`, `rust` — one per line — or leave a row empty to include trending across all languages.
2. Set **Time range** to `daily`, `weekly` or `monthly`, matching the tabs on github.com/trending.
3. Optionally set **Spoken language** (a two-letter code like `en` or `ja`) to match GitHub's "Spoken Language" filter.
4. Choose **Mode**: `repositories` for github.com/trending, or `developers` for github.com/trending/developers.
5. Click **Start** and export the dataset as JSON, CSV, Excel or HTML from the **Output** tab.

### Example input

```json
{
    "languages": ["", "javascript", "rust"],
    "since": "weekly",
    "mode": "repositories",
    "maxResults": 25
}
```

### Example output

```json
{
    "rank": 1,
    "owner": "JustVugg",
    "repo": "colibri",
    "fullName": "JustVugg/colibri",
    "url": "https://github.com/JustVugg/colibri",
    "description": "Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk.",
    "language": "C",
    "languageColor": "#555555",
    "stars": 29487,
    "forks": 3214,
    "starsInPeriod": 960,
    "builtBy": ["JustVugg", "claude", "ZacharyZcR"],
    "since": "daily",
    "queryLanguage": "",
    "error": null,
    "scrapedAt": "2026-09-13T00:00:00.000Z"
}
```

### Data table

GitHub Trending Repositories Scraper extracts up to 21 fields per row (repositories and developers share one dataset shape — unused fields for the chosen mode stay null):

| Field | Type | Description |
| --- | --- | --- |
| `rank` | number | Position on the trending page, 1-based |
| `owner`, `repo`, `fullName`, `url` | string | Repository owner, name, `owner/repo` and its GitHub page (repositories mode) |
| `username`, `name`, `avatar` | string | Developer handle, display name and avatar image (developers mode) |
| `description` | string | Repository description (repositories mode) |
| `language`, `languageColor` | string | Primary language and GitHub's hex color for it (repositories mode) |
| `stars`, `forks`, `starsInPeriod` | number | Total stars, total forks and stars gained in the selected window (repositories mode) |
| `builtBy` | array | Usernames of the top contributors shown on the trending card (repositories mode) |
| `popularRepo`, `popularRepoDescription` | string | The developer's most popular repo right now and its description (developers mode) |
| `since` | string | `daily`, `weekly` or `monthly` — the requested time range |
| `queryLanguage`, `error`, `scrapedAt` | string | The `languages` entry that produced this row, any failure reason and the run timestamp |

### Input parameters

| Parameter | Type | Default | Description |
| --- | --- | --- | --- |
| `languages` | array | `[""]` | Language slugs, or an empty row for all languages |
| `since` | string | `daily` | `daily`, `weekly` or `monthly` |
| `spokenLanguage` | string | *(empty)* | Two-letter spoken-language filter, e.g. `en` |
| `mode` | string | `repositories` | `repositories` (github.com/trending) or `developers` (github.com/trending/developers) |
| `maxResults` | integer | 25 | Max rows per language entry (1-100) |

### Pricing

GitHub Trending Repositories Scraper uses pay-per-event pricing: **$0.001 per result row**, plus a negligible actor-start fee. Scraping all-languages trending (about 25 repositories) costs around two and a half cents; three language entries in `repositories` mode cost roughly seven and a half cents. Set **Maximum cost per run** and the Actor trims the work to what the budget covers instead of overspending.

### GitHub Trending Repositories Scraper vs. manually browsing github.com/trending

github.com/trending shows one language and one time range at a time, with no export button. This Actor takes a whole watchlist of languages — plus daily, weekly or monthly windows — and returns one flat, typed row per repository or developer, ready to schedule, join with other data or feed into a newsletter or dashboard.

### Using GitHub Trending Repositories Scraper with AI agents and MCP

GitHub Trending Repositories Scraper is pay-per-event with limited permissions — the two requirements for an Actor to be callable through the Apify MCP server at `mcp.apify.com`. An agent passes a list of languages and a time range and gets structured trending rows back, ready to summarise what's rising in a given ecosystem right now.

### FAQ

**Does this need a GitHub API token?** No. It reads the public `github.com/trending` HTML page directly — the same page a signed-out visitor sees — with no authentication and no GitHub API rate limits involved.

**What happens if I enter a language GitHub doesn't recognise?** GitHub answers with HTTP 200 and an empty results page rather than an error. This Actor detects that and returns one row for that language with `error` explaining nothing was found, instead of silently skipping it.

**Why are some fields null?** The dataset uses one shared row shape for both modes: a `repositories`-mode row leaves `username`, `name`, `avatar`, `popularRepo` and `popularRepoDescription` null, and a `developers`-mode row leaves `owner`, `repo`, `description`, `language`, `stars`, `forks`, `starsInPeriod` and `builtBy` null.

**Why is `builtBy` sometimes an empty array?** Not every trending repository shows a "Built by" contributor list — smaller or single-author repos often omit it. An empty array means the page had no such section, not a parsing failure.

**What are the limitations?** GitHub's trending page itself lists at most 25 repositories or developers per language and time range — `maxResults` above that simply returns everything the page has. `languageColor` is only present when GitHub has an assigned color for that language.

**Is this legal to run?** Yes. `github.com/trending` is a public, unauthenticated page intended for browsing, and this Actor extracts only what is already publicly displayed there — no personal account data beyond publicly visible usernames and avatars.

### Related Actors

Part of the **webdatatools** web-intelligence suite — every Actor is pay-per-event, reads public data
without a login, and returns one clean row per entity:

Browse the whole suite at [webdatatools](https://paulet4a-commits.github.io/webdatatools/), or call ten of
these Actors straight from Claude, Cursor or Cline with the
[webdatatools MCP server](https://github.com/paulet4a-commits/webdatatools-mcp-server).

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- [VS Code Marketplace Extension Scraper (installs, ratings)](https://apify.com/webdatatools/vscode-marketplace-extensions) — installs, ratings and versions per extension
- [Chrome Web Store Extension Scraper (installs, ratings)](https://apify.com/webdatatools/chrome-web-store-extensions) — users, rating, version and developer per extension
- [Google Play Scraper](https://apify.com/webdatatools/google-play-scraper) — apps, ratings, installs, developer contact and reviews
- [App Store (iOS) App Metadata, Ratings & Top Charts Lookup](https://apify.com/webdatatools/app-store-lookup) — ratings, price, version and charts per app
- [CrossRef DOI & Citation Metadata Lookup](https://apify.com/webdatatools/crossref-doi-lookup) — papers, authors, journals and citation counts
- [FDA Recalls & Adverse Events Monitor (openFDA)](https://apify.com/webdatatools/openfda-recall-monitor) — food, drug and device recalls from openFDA
- [iCal / ICS Calendar Feed to Events Extractor](https://apify.com/webdatatools/ical-calendar-extractor) — any public calendar feed as event rows
- [Shopify Store Products Scraper](https://apify.com/webdatatools/shopify-products-scraper) — catalog, prices, variants and stock per store
- [Hacker News Search & Front Page Scraper](https://apify.com/webdatatools/hacker-news-scraper) — stories, comments and points by query or front page
- [Stack Overflow & Stack Exchange Q\&A Scraper](https://apify.com/webdatatools/stackexchange-scraper) — questions, answers and scores by query, tag or site
- [Bulk Image Downloader](https://apify.com/webdatatools/bulk-image-downloader) — download image URLs to storage with size, dimensions and a ZIP
- [Google Flights Scraper (Prices, Airlines, Stops)](https://apify.com/webdatatools/google-flights-scraper) — flight prices, airlines, times, stops and CO2 by route and date
- [Google Hotels Scraper (Prices, Ratings, Reviews)](https://apify.com/webdatatools/google-hotels-scraper) — hotel prices per night, stars, rating and reviews by city and dates
- [AliExpress Scraper (Search Products & Prices)](https://apify.com/webdatatools/aliexpress-scraper) — AliExpress search results with USD price, discount and rank
- [Lazada Scraper (Products, Prices, Sold, Ratings)](https://apify.com/webdatatools/lazada-scraper) — Lazada products in 6 countries with price, rating, units sold and seller

### Support and feedback

Found a language slug or page-layout edge case it should handle better? Open an issue on the **Issues** tab.

# Actor input Schema

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

Enter one GitHub language slug per row, e.g. javascript or python. Leave a row empty to fetch trending across all languages.

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

Choose the trending window: daily, weekly or monthly, matching the tabs on github.com/trending.

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

Enter a two-letter spoken-language code to filter by, e.g. en or ja, matching GitHub's "Spoken Language" trending filter. Leave empty for all spoken languages.

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

Choose repositories for github.com/trending (one row per trending repo), or developers for github.com/trending/developers (one row per trending developer).

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

Enter how many rows to return for each entry in languages, e.g. 25. GitHub's trending page lists at most 25 repositories or 25 developers per language.

## Actor input object example

```json
{
  "languages": [
    "",
    "javascript",
    "python"
  ],
  "since": "daily",
  "spokenLanguage": "",
  "mode": "repositories",
  "maxResults": 25
}
```

# Actor output Schema

## `trending` (type: `string`):

All scraped repositories or developers — download as JSON, CSV, Excel or HTML.

# 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 = {
    "languages": [
        "",
        "javascript",
        "python"
    ],
    "since": "daily",
    "spokenLanguage": "",
    "mode": "repositories",
    "maxResults": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatatools/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 = {
    "languages": [
        "",
        "javascript",
        "python",
    ],
    "since": "daily",
    "spokenLanguage": "",
    "mode": "repositories",
    "maxResults": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("webdatatools/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 '{
  "languages": [
    "",
    "javascript",
    "python"
  ],
  "since": "daily",
  "spokenLanguage": "",
  "mode": "repositories",
  "maxResults": 25
}' |
apify call webdatatools/github-trending-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,webdatatools/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/YvIV00qj9gqJvLlYx/builds/4gsTMGMcZH49gc4Q5/openapi.json