# GitHub Repository Scraper (`navy_currant/github-repo-scraper`) Actor

Search and export GitHub repositories via the official GitHub API. Filter by keyword, language, and stars; get full repo metadata for market research, lead generation, and dev intelligence.

- **URL**: https://apify.com/navy\_currant/github-repo-scraper.md
- **Developed by:** [Ishaan](https://apify.com/navy_currant) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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 Repository Scraper 🐙

Search and export **GitHub repositories** at scale via the official GitHub API. Filter by
keyword, language, and stars; get full metadata (stars, forks, language, topics, license,
timestamps) as a clean dataset.

### What you can use it for

- **Developer & market intelligence** — track tools, frameworks, and competitors by topic.
- **Lead generation** — find active projects and their maintainers by tech stack.
- **Trend research** — surface fast-growing repos in any niche.
- **Data enrichment** — pull repo metadata into your own pipelines.

### Input

| Field | Description |
|-------|-------------|
| `query` | Keyword(s) to search for. |
| `language` | Optional language filter (e.g. `python`). |
| `minStars` | Only repos with at least this many stars. |
| `sort` / `order` | Sort by stars/forks/updated, asc or desc. |
| `maxItems` | Max repos to return (up to 100). |
| `githubToken` | Optional token for higher rate limits (public data only). |

### Output

One item per repository: `fullName`, `owner`, `description`, `url`, `stars`, `forks`,
`openIssues`, `language`, `topics`, `license`, and created/updated/pushed timestamps.

### Pricing

Pay-per-event: a small charge per run plus per repository returned.

# Actor input Schema

## `query` (type: `string`):

Keyword(s) to search repositories for (e.g. "web scraping", "llm agents").

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

Optional programming-language filter (e.g. python, typescript).

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

Only return repos with at least this many stars.

## `sort` (type: `string`):

Sort field.

## `order` (type: `string`):

Sort direction.

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

Maximum repositories to return (up to 100).

## `githubToken` (type: `string`):

Optional personal access token for higher rate limits. Public data only.

## Actor input object example

```json
{
  "query": "llm agents",
  "minStars": 0,
  "sort": "stars",
  "order": "desc",
  "maxItems": 50
}
```

# 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 = {
    "query": "llm agents",
    "language": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("navy_currant/github-repo-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 = {
    "query": "llm agents",
    "language": "",
}

# Run the Actor and wait for it to finish
run = client.actor("navy_currant/github-repo-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 '{
  "query": "llm agents",
  "language": ""
}' |
apify call navy_currant/github-repo-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/YLVrNYcWJi32JFl58/builds/aXGYXioaYTUzXkIsp/openapi.json