# 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
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 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/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 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",
  "language": "",
  "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(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 '{
  "query": "llm agents",
  "language": ""
}' |
apify call navy_currant/github-repo-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,navy_currant/github-repo-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/YLVrNYcWJi32JFl58/builds/aXGYXioaYTUzXkIsp/openapi.json