# GitTrend Scout Pro (`there.ainun.dev/gittrend-scout-promax`) Actor

Fast and deep GitHub repository intelligence scraper to extract trending repos, stars, forks, and language metrics.

- **URL**: https://apify.com/there.ainun.dev/gittrend-scout-promax.md
- **Developed by:** [Moch. Ainun Najib](https://apify.com/there.ainun.dev) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 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/actors/running/actors-in-store.md#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

## GitTrend Scout Pro: Deep Repository Intelligence

GitTrend Scout Pro is an enterprise-grade data intelligence engine designed for technology recruiters, venture capital firms, developer relations teams, and data scientists. It extracts, aggregates, and evaluates the fastest-growing open-source repositories on GitHub by niche.

### Overview

The actor automates the discovery of emergent technology trends by measuring daily star acquisition velocity, fork-to-star adoption ratios, and issue backlog loads. This enables technical organizations to capture reliable market alpha before global consensus is reached.

### Core Capabilities

- **Dynamic Niche Targeting**: Filter and evaluate repositories across custom technical keywords and GitHub topics.
- **Project Health Metrics**: Assesses open issue volume and recent commit frequency to gauge true community activity.
- **Adoption Velocity Analytics**: Tracks relative fork-to-codebase reuse metrics to measure practical developer adoption rather than surface-level hype.
- **Robust Architecture**: Built natively on the GitHub REST API to ensure high throughput and operational stability.

### Input Parameters

- `topic` (array/string): Target technology keyword or GitHub topic (e.g., `artificial-intelligence`, `distributed-systems`).
- `maxItems` (integer): Maximum number of top-tier repositories to analyze per vector (Range: 5 to 100).

### Output Data Structure

The actor pushes structured records to the Apify dataset containing:

- Repository Identifier and URL
- Primary Programming Language
- Cumulative Stars and Fork Metrics
- Automated Project Status Classification
- Associated Technical Tags and Last Update Timestamps

# Actor input Schema

## `search` (type: `string`):

Topic or keyword to search on GitHub

## Actor input object example

```json
{
  "search": "python"
}
```

# 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("there.ainun.dev/gittrend-scout-promax").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("there.ainun.dev/gittrend-scout-promax").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 there.ainun.dev/gittrend-scout-promax --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,there.ainun.dev/gittrend-scout-promax"
        }
    }
}

```

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/4n2VgjCkHWMwPIe7Q/builds/YwWCYgtqzIGMSpK0l/openapi.json