YouTube Scraper API | Extract Video Metadata & SEO Tags
Pricing
from $1.00 / 1,000 video scans
YouTube Scraper API | Extract Video Metadata & SEO Tags
Extract hidden SEO tags, view counts, and engagement metrics from any YouTube video instantly. Reverse-engineer viral videos and competitor strategies.
Pricing
from $1.00 / 1,000 video scans
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Developer

Andok
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1
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10 hours ago
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YouTube Video Metadata Extractor
Audit YouTube video SEO and performance metrics at scale by extracting titles, view counts, likes, tags, and descriptions from any public video. Runs without a headless browser or YouTube API key, so you can scan thousands of videos quickly and cheaply. Ideal for content audits, competitor analysis, and automated reporting.
Features
- Full metadata extraction — title, description, view count, likes, publish date, and tags from every video
- Channel context — returns the channel name and ID alongside each video's data
- Bulk scanning — process hundreds of video URLs in a single run
- Parallel execution — configurable concurrency for high-throughput batch jobs
- No API key needed — parses YouTube's public HTML directly, no quota limits
- SEO-ready tags — extracts the full keyword tag list for competitive SEO analysis
Input
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
urls | array | Yes | — | YouTube video URLs to extract metadata from |
timeoutSeconds | integer | No | 15 | Maximum seconds to wait for each video page to respond |
concurrency | integer | No | 10 | Number of videos to process in parallel. Increase for large batches, decrease if you see errors. |
Input Example
{"urls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ","https://www.youtube.com/watch?v=jNQXAC9IVRw"],"timeoutSeconds": 15,"concurrency": 10}
Output
Each video produces one dataset row containing the full metadata profile: title, view and like counts, publish date, description, tags, and channel info.
Key output fields:
| Field | Type | Description |
|---|---|---|
inputUrl | string | The video URL you provided |
videoId | string | YouTube video ID |
title | string | Video title |
channelName | string | Name of the channel that uploaded the video |
channelId | string | YouTube channel ID |
viewCount | string | Total view count |
likeCount | string | Total like count |
publishDate | string | Date the video was published (YYYY-MM-DD) |
description | string | Full video description text |
tags | array | List of keyword tags set by the uploader |
Output Example
{"inputUrl": "https://www.youtube.com/watch?v=jNQXAC9IVRw","videoId": "jNQXAC9IVRw","title": "Introduction to Machine Learning — Full Course","channelName": "Tech Academy","channelId": "UCxxxxxxxxxxxxxxx","viewCount": "2450000","likeCount": "87000","publishDate": "2024-06-15","description": "A comprehensive introduction to machine learning concepts, covering supervised and unsupervised learning, neural networks, and practical applications...","tags": ["machine learning", "AI", "tutorial", "deep learning", "python"]}
Pricing
Pay per event on Apify platform.
| Event | Description |
|---|---|
| Video Scan | One video URL processed and metadata extracted |
Use Cases
- Video SEO audits — compare titles, tags, and descriptions across your video library to find optimization gaps
- Competitor analysis — track rival channels' top-performing videos by view and like counts
- Content calendars — pull publish dates and metadata to map competitors' posting cadence
- Agency reporting — automate weekly performance snapshots for client YouTube channels
- Dataset building — collect structured video metadata for trend analysis or ML training
Related Actors
| Actor | What it adds |
|---|---|
| YouTube Subscriber Counter | Track channel-level growth — subscribers and total video counts |
| YouTube Transcript Scraper | Extract full video transcripts to complement your metadata with actual content |
| Tech Stack Analyzer | Detect the CMS and frameworks behind any website — pair with video metadata for full competitive intel |