# My best actor (`meshlab/my-actor`) Actor

- **URL**: https://apify.com/meshlab/my-actor.md
- **Developed by:** [Mesh Labs](https://apify.com/meshlab) (community)
- **Categories:** Automation
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## 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/actors/running/actors-in-store.md#pay-per-usage

## 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

An Apify Actor that extracts comprehensive information from GitHub repository pages. Built with Python, `httpx`, and `BeautifulSoup`.

### Features

Scrapes the following data points for one or multiple GitHub repositories:

- Basic Info: Repository URL, owner, repository name, description, and website.
- Stats: Star count, fork count.
- Activity: Latest release tag and date, commit count, and default branch.
- Metadata: Topics, primary programming languages (with percentages), and license.
- Content: The HTML content of the README (truncated to first 5000 characters).

### Input Configuration

The Actor accepts input via a JSON schema.

| Field | Type | Description |
| ----- | ---- | ----------- |
| `repo_urls` | Array | A list of GitHub repository URLs to scrape (e.g., `["https://github.com/apify/apify-sdk-python"]` or `[{"url": "..."}]`). |

**Example Input:**

```json
{
  "repo_urls": [
    "https://github.com/apify/apify-sdk-python",
    "https://github.com/microsoft/vscode"
  ]
}
```

### Output Data Structure

The Actor stores results in the default dataset.

**Example Output:**

```json
{
  "url": "https://github.com/apify/apify-sdk-python",
  "owner": "apify",
  "repo_name": "apify-sdk-python",
  "description": "Apify SDK for Python—The official library for building Apify Actors...",
  "website": "https://docs.apify.com/sdk/python",
  "stars": 173,
  "forks": 25,
  "default_branch": "master",
  "commit_count": 1140,
  "topics": ["python", "automation", "sdk", "proxy", "scraping"],
  "languages": [
    { "name": "Python", "percentage": "72.7%" },
    { "name": "MDX", "percentage": "24.3%" },
    { "name": "JavaScript", "percentage": "2.7%" }
  ],
  "license": "Apache-2.0 license",
  "latest_release": { "tag": "3.4.1", "date": "2026-05-29T10:05:29Z" },
  "readme_html": "<article class=\"markdown-body entry-content container-lg\" itemprop=\"text\">...",
  "scraped_at": "2026-07-12T05:00:00+00:00"
}
```

### Local Development

1. Ensure you have Python 3.11+ installed.
2. Install dependencies: `pip install -r requirements.txt`
3. Prepare input in `storage/key_value_stores/default/INPUT.json`.
4. Run the Actor: `python -m src` or `apify run`.

# Actor input Schema

## `repo_urls` (type: `array`):

List of GitHub repository URLs to scrape (e.g., https://github.com/apify/apify-sdk-python)

## Actor input object example

```json
{
  "repo_urls": [
    {
      "url": "https://github.com/apify/apify-sdk-python"
    }
  ]
}
```

# 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 = {
    "repo_urls": [
        {
            "url": "https://github.com/apify/apify-sdk-python"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("meshlab/my-actor").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 = { "repo_urls": [{ "url": "https://github.com/apify/apify-sdk-python" }] }

# Run the Actor and wait for it to finish
run = client.actor("meshlab/my-actor").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 '{
  "repo_urls": [
    {
      "url": "https://github.com/apify/apify-sdk-python"
    }
  ]
}' |
apify call meshlab/my-actor --silent --output-dataset

```

## MCP server setup

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

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/bWdpTyroaWOqAjhVD/builds/TpOUI3XZkONY1212K/openapi.json