# GitHub Repo Discovery Tracker — New Repos by Topic/Language (`m_ctim/github-repo-discovery-tracker`) Actor

Find new GitHub repositories matching a keyword, language, or topic, created within a chosen time window and sorted by stars. For tech scouting, VC deal sourcing, and tracking what's emerging in an OSS ecosystem.

- **URL**: https://apify.com/m\_ctim/github-repo-discovery-tracker.md
- **Developed by:** [Timothy Kelvin](https://apify.com/m_ctim) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 Repo Discovery Tracker — New Repos by Topic/Language

Find new GitHub repositories matching a keyword, language, or topic,
created within a chosen time window and sorted by stars.

Built for tech scouting, VC deal sourcing, and developer relations teams
tracking what's emerging in an OSS ecosystem — this is a discovery tool
for repos you don't know about yet, not a watcher for repos you already
depend on (see [GitHub Release Tracker](https://github.com/timmKal01/github-release-tracker)
for that).

### Input

```json
{
  "keyword": "llm agent",
  "language": "Python",
  "topic": "",
  "minStars": 50,
  "daysBack": 30,
  "maxResults": 25
}
```

| Field | Type | Description |
|---|---|---|
| `keyword` | string (optional) | Free-text search across repo name and description. |
| `language` | string (optional) | Programming language to filter by, e.g. `"Python"`, `"TypeScript"`, `"Rust"`. |
| `topic` | string (optional) | GitHub topic tag to filter by, e.g. `"web-scraping"`, `"llm-agent"`. |
| `minStars` | number | Only return repos with at least this many stars. Default `0`. |
| `daysBack` | number | How many days back from today to search, by repo creation date. Default `30`, max `180`. |
| `maxResults` | number | Max repos to return, most starred first. Default `25`, max `100`. |

### Output

One record per repo:

```json
{
  "fullName": "D4Vinci/Scrapling",
  "description": "An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!",
  "url": "https://github.com/D4Vinci/Scrapling",
  "owner": "D4Vinci",
  "language": "Python",
  "stars": 73954,
  "forks": 7397,
  "openIssues": 3,
  "topics": ["ai", "automation", "crawler", "python", "scraping", "web-scraping"],
  "license": "BSD-3-Clause",
  "createdAt": "2024-10-13T20:29:53Z",
  "pushedAt": "2026-08-11T18:45:32Z"
}
```

A search with no matching repos returns no items but is still billed
once for the search.

### How it works

Direct calls to the official [GitHub REST Search
API](https://docs.github.com/en/rest/search) (`api.github.com`) — no
proxy, no key, no scraping.

### Pricing note

Billed per **search**, not per repo returned — one charge whether the
search returns 0 repos or 100.

### Related products

- [GitHub Release Tracker](https://github.com/timmKal01/github-release-tracker) — watches specific repos you already know for new releases, rather than discovering new ones

# Actor input Schema

## `keyword` (type: `string`):

Free-text search across repo name and description (e.g. "llm agent", "vector database"). Leave blank to skip keyword filtering.

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

Programming language to filter by, e.g. "Python", "TypeScript", "Rust". Leave blank for all languages.

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

GitHub topic tag to filter by, e.g. "web-scraping", "llm-agent". Leave blank for all topics.

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

Only return repos with at least this many stars.

## `daysBack` (type: `integer`):

How many days back from today to search, by repo creation date.

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

Maximum number of repos to return, most starred first.

## Actor input object example

```json
{
  "minStars": 0,
  "daysBack": 30,
  "maxResults": 25
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("m_ctim/github-repo-discovery-tracker").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("m_ctim/github-repo-discovery-tracker").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 '{}' |
apify call m_ctim/github-repo-discovery-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,m_ctim/github-repo-discovery-tracker"
        }
    }
}

```

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/8ZNH3VmbkmiPQ9Hfm/builds/bzae1MlXit2R5GfN5/openapi.json