# GitHub Trending Repos and Developers Radar (`adaptive_nightmare/github-trending-radar`) Actor

Scrape trending open-source GitHub repositories by language and growth timeframe. Track stars, forks, maintainers, and breakout AI projects.

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

## Pricing

$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/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 Repositories Scraper

Scrape trending GitHub open-source repositories by programming language and growth timeframe.

### Features

- Tracks repositories trending daily, weekly, or monthly.
- Filters by any GitHub programming language or language-agnostic all-languages feed.
- Extracts star gains during the selected period alongside total star counts.
- Pulls repository descriptions, primary languages, fork counts, and maintainer details.
- Extracts topic tags for repository categorization.
- Executes in seconds without needing a GitHub personal access token.

### Input parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `topic` | String | `"ai"` | Filter by topic or keyword (e.g. `ai`, `agent`, `rust`, `devtools`). |
| `language` | String | `"all"` | Programming language (`python`, `typescript`, `javascript`, `rust`, `go`, etc.). |
| `timeRange` | String | `"this_week"` | Activity window: `this_week`, `this_month`, or `this_year`. |
| `minStars` | Integer | `100` | Minimum star threshold. |
| `sortBy` | String | `"stars"` | Ranking metric: `stars`, `forks`, or `updated`. |
| `maxRepos` | Integer | `50` | Maximum number of repositories to extract. |

### Output format

`json
{
  "name": "vllm",
  "fullName": "vllm-project/vllm",
  "owner": "vllm-project",
  "ownerType": "Organization",
  "ownerAvatar": "https://avatars.githubusercontent.com/u/137748408?v=4",
  "url": "https://github.com/vllm-project/vllm",
  "description": "A high-throughput and memory-efficient LLM serving engine",
  "language": "Python",
  "stars": 34500,
  "forks": 5200,
  "openIssues": 480,
  "license": "Apache-2.0",
  "topics": ["llm", "inference", "deep-learning", "python"],
  "homepage": "https://vllm.ai",
  "createdAt": "2023-06-12T05:22:00.000Z",
  "updatedAt": "2026-10-20T10:15:00.000Z",
  "scrapedAt": "2026-10-20T12:00:00.000Z"
}
`

### Use cases

- Technology radar: Identify breakout developer tools, frameworks, and libraries early.
- Content curation: Automate weekly developer newsletters highlighting top open-source projects.
- Competitive monitoring: Watch developer interest shifts across competing ecosystems.
- Open-source research: Track which languages and paradigms are gaining adoption.

### Pricing and efficiency

- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.

# Actor input Schema

## `topic` (type: `string`):

Filter repositories by topic or keyword (e.g. ai, llm, agent, devtools, web3, rust). Leave empty for general trending repos.

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

Filter by primary programming language.

## `timeRange` (type: `string`):

Only look at projects actively pushed/updated within this window.

## `minStars` (type: `integer`):

Minimum total stars for a repository to be included.

## `sortBy` (type: `string`):

How to rank the discovered repositories.

## `maxRepos` (type: `integer`):

Maximum number of repositories to extract.

## `proxyConfiguration` (type: `object`):

Apify proxy settings (optional).

## Actor input object example

```json
{
  "topic": "ai",
  "language": "all",
  "timeRange": "this_week",
  "minStars": 100,
  "sortBy": "stars",
  "maxRepos": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (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 = {
    "topic": "ai"
};

// Run the Actor and wait for it to finish
const run = await client.actor("adaptive_nightmare/github-trending-radar").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 = { "topic": "ai" }

# Run the Actor and wait for it to finish
run = client.actor("adaptive_nightmare/github-trending-radar").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 '{
  "topic": "ai"
}' |
apify call adaptive_nightmare/github-trending-radar --silent --output-dataset

```

## MCP server setup

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

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/ZpEt5H0upSzzZcBFY/builds/Dj3kQZRnkFW4chalT/openapi.json