# YouTube Video Data Extractor (`blazing_stake/youtube-data-extractor`) Actor

Extract YouTube video metadata (title, channel, views, duration, publish date, keywords, thumbnails) from any list of URLs. No API key needed.

- **URL**: https://apify.com/blazing\_stake/youtube-data-extractor.md
- **Developed by:** [Mehmet Kut](https://apify.com/blazing_stake) (community)
- **Categories:** Social media, Marketing
- **Stats:** 1 total users, 0 monthly users, 96.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 video extracteds

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

## YouTube Video Data Extractor

Extract **YouTube video metadata** — title, channel, views, duration, publish date, description, keywords, and thumbnails — from any list of video URLs. No API key, no quota limits.

### 🎯 What it extracts

- **Title** and **channel** (name + URL + channel ID)
- **View count** and **duration**
- **Publish/upload date** and **category**
- Full **description** and **keywords/tags** (up to 50)
- **Thumbnail** URL (max resolution)
- Live-content and family-safe flags

Accepts watch links, `youtu.be` short links, Shorts URLs, embed URLs, or raw video IDs.

### 💡 Use cases

- **Content research** — analyze video performance across a channel or topic
- **Competitor tracking** — monitor rivals' video stats and keywords
- **SEO / keyword mining** — extract tags from top-ranking videos
- **Dataset building** — collect video metadata for ML / analysis
- **Trend analysis** — track view counts over time

### 📥 Input

| Field | Type | Description |
|-------|------|-------------|
| `videoUrls` | array | YouTube video URLs (any format) |
| `videoIds` | array | Raw 11-char video IDs (optional) |

#### Example input

```json
{
  "videoUrls": [
    "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    "https://youtu.be/abc123XYZ90"
  ]
}
```

### 📤 Output

```json
{
  "videoId": "dQw4w9WgXcQ",
  "title": "Rick Astley - Never Gonna Give You Up",
  "channel": "Rick Astley",
  "viewCount": 1789827378,
  "lengthSeconds": 213,
  "publishDate": "2009-10-24",
  "category": "Music",
  "keywords": ["rick astley", "never gonna give you up", "..."],
  "thumbnail": "https://i.ytimg.com/vi/dQw4w9WgXcQ/maxresdefault.jpg"
}
```

### ⚡ Performance

Uses YouTube's oEmbed endpoint + HTML data — no browser, no API key, no quota. Fast and lightweight.

# Actor input Schema

## `videoUrls` (type: `array`):

YouTube video URLs (watch, youtu.be, shorts, or embed links).

## `videoIds` (type: `array`):

Raw 11-character YouTube video IDs, if you already have them.

## Actor input object example

```json
{
  "videoUrls": [
    "https://youtu.be/dQw4w9WgXcQ",
    "https://www.youtube.com/shorts/abc123"
  ],
  "videoIds": [
    "dQw4w9WgXcQ"
  ]
}
```

# 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 = {
    "videoUrls": [
        "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("blazing_stake/youtube-data-extractor").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 = { "videoUrls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"] }

# Run the Actor and wait for it to finish
run = client.actor("blazing_stake/youtube-data-extractor").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 '{
  "videoUrls": [
    "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
  ]
}' |
apify call blazing_stake/youtube-data-extractor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/NvXKpoDRdhKQi3h0O/builds/771nYPgzOz9sczq9m/openapi.json