# YouTube AI Trend Finder (`obliging_thicknee/my-actor`) Actor

Analyze any public YouTube channel, rank recent videos by real view velocity, and discover trending titles and keywords — no YouTube API key required.

- **URL**: https://apify.com/obliging\_thicknee/my-actor.md
- **Developed by:** [Hakkı Ozan](https://apify.com/obliging_thicknee) (community)
- **Categories:** Videos, Social media, AI
- **Stats:** 2 total users, 0 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

## YouTube AI Trend Finder

Analyze the latest videos from any public YouTube channel without requiring a YouTube API key. The Actor ranks videos by view velocity, freshness, and total reach so creators can quickly identify what is gaining momentum.

### What it returns

- Ranked recent videos
- Trend score from 0 to 100
- Total views and estimated views per day
- Publish date, thumbnail, and direct YouTube URL
- Repeated title keywords for new content ideas
- A summary record containing the strongest video and top keywords

### Input

- **channelUrl**: A YouTube @handle or /channel/ URL
- **maxResults**: Number of recent videos to analyze (1-30)
- **language**: Turkish or English keyword processing

Example:

```json
{
  "channelUrl": "https://www.youtube.com/@hakkozan",
  "maxResults": 15,
  "language": "tr"
}
```

### Output

Each dataset item includes `rank`, `title`, `trendScore`, `viewCount`, `viewsPerDay`, `publishedAt`, `thumbnailUrl`, and `url`. A run-level summary is stored under the `SUMMARY` key-value record.

### Notes

The Actor analyzes publicly available channel and video information. View counts can change continuously, so results are a snapshot taken at run time. Use reasonable run frequency and comply with YouTube's terms and applicable laws.

# Actor input Schema

## `channelUrl` (type: `string`):

Kanalın https://www.youtube.com/@kullanici veya /channel/UC... bağlantısı.

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

Kanalın en son kaç videosu analiz edilsin?

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

Anahtar kelime analizinde kullanılacak dil.

## Actor input object example

```json
{
  "channelUrl": "https://www.youtube.com/@MrBeast",
  "maxResults": 15,
  "language": "tr"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (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("obliging_thicknee/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("obliging_thicknee/my-actor").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 '{}' |
apify call obliging_thicknee/my-actor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

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