Scrape complete YouTube video details without API keys. Extracts full title, description, channel info, exact views, likes, comment count, chapters, most-replayed heatmap, music credits, tags, and thumbnails.
Scrape complete YouTube video details without API keys. Extracts full title, description, channel info, exact views, likes, comment count, chapters, most-replayed heatmap, music credits, tags, and thumbnails.
Extract complete video metadata without Google Cloud console setup, OAuth authentication, or quota exhaustion.
Extracts unrounded integer like counts, total comment counts, pinned creator comments, and the initial batch of top comments with full engagement metadata.
Extracts structured chapter breakdowns with start/end seconds, formatted timestamps, and visual chapter preview images.
Captures YouTube's 100-point normalized audience retention curve from reactive mutations to analyze viral hook retention.
Extracts all alternate language dubbed audio tracks with display names, default track flags, and automated AI dubbing disclosures.
Detects creator disclosures of altered or synthetic media per global transparency guidelines (EU AI Act & C2PA).
Identifies vertical video Shorts up to 3 minutes in length via native microformat metadata and reelWatchEndpoints.
Highest resolution thumbnails auto-activate Cards View and Lightbox preview modals in the BrowserMesh visual dashboard.
Templates & workflows
Extract full metadata, like count, comment header, and most-replayed curve from a popular music video.
{
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"country": "US",
"language": "en",
"extractHeatmap": true,
"extractChapters": true,
"extractComments": true,
"extractMusicCredits": true,
"extractDescriptionLinks": true
}Extract video metadata, duration, likes, and comment counts from a YouTube Shorts vertical clip.
{
"url": "https://youtube.com/shorts/JSTr0EqXbKA",
"country": "US",
"language": "en",
"extractHeatmap": true,
"extractChapters": false,
"extractComments": true
}Extract video details across multiple YouTube videos in a single resilient batch job with checkpointing.
{
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ\nhttps://www.youtube.com/watch?v=jNQXAC9IVRw\nhttps://youtube.com/shorts/JSTr0EqXbKA",
"country": "US",
"language": "en",
"extractHeatmap": true,
"extractChapters": true,
"extractComments": true
}YouTube Video Details Scraper: Free Video Metadata, Heatmap, Chapters & Audio Tracks Extractor
YouTube Video Details Scraper is a fast, 100% free online tool that extracts complete video details, exact view counts, unrounded likes, comment counts, video chapters, viewer engagement heatmaps, music credits, tags, and thumbnails from any YouTube video or Shorts clipโwith zero API keys, no Google Cloud setup, and no technical skills required.
The zero-cost, unlimited alternative to complex developer tools and restricted Google Data APIs. Get instant access to deep video insights in clean tables, visual cards, or downloadable CSV, Excel, and JSON formats.
You don't need a developer account, Google Cloud credentials, or an API key. Just paste any YouTube video link, click run, and view your results in seconds.
While YouTube's public website rounds like numbers (e.g. displaying "19M" or "280K"), this scraper captures the exact, unrounded number of likes (such as 19,496,173), giving you true engagement accuracy.
Instantly view the total comment count, read the pinned creator message, and review the top discussion comments with author names, likes, and reply countsโwithout slowing down your extraction.
Extract clean chapter breakdowns including chapter titles, start and end times, formatted timestamps ("02:45"), and visual chapter preview images for every section of the video.
See exactly which parts of a video viewers watch the most! The scraper extracts YouTube's 100-point audience retention curve, highlighting viral spikes and key moments across the video timeline.
Automatically capture official music credits listed in the video description, including song title, recording artist, music album name, and album cover art.
Discover all available audio tracks on the video, including the primary spoken language, alternate dubbed languages, and whether the audio track is an automated AI dub.
Check whether the creator has disclosed that the video includes altered, realistic AI-generated, or synthetic media in compliance with YouTube's transparency guidelines.
All links inside the video description are neatly extracted, unrolled from redirect shields, and categorized into website URLs, creator timestamps, hashtags, and social media handles.
Works seamlessly with standard desktop videos as well as vertical YouTube Shorts, including the newest 3-minute Shorts format.
View your results in rich, interactive cards, click thumbnails to open a high-resolution lightbox, or inspect nested data tables (like chapters and music tracks) with one click in the BrowserMesh dashboard.
Extracting YouTube video details takes three simple steps:
{
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ\nhttps://youtube.com/shorts/JSTr0EqXbKA",
"extractChapters": true,
"extractHeatmap": true,
"extractMusicCredits": true,
"extractCardsAndEndScreen": true,
"extractDescriptionLinks": true,
"extractComments": true,
"country": "US",
"language": "en"
}
You can paste any standard YouTube link format:
https://www.youtube.com/watch?v=dQw4w9WgXcQhttps://www.youtube.com/watch?v=dQw4w9WgXcQ&t=42s&feature=sharehttps://youtu.be/dQw4w9WgXcQhttps://www.youtube.com/shorts/JSTr0EqXbKAhttps://m.youtube.com/watch?v=dQw4w9WgXcQhttps://www.youtube.com/embed/dQw4w9WgXcQhttps://www.youtube.com/live/dQw4w9WgXcQdQw4w9WgXcQEvery video extracted provides up to 61 organized data fields:
Here is what the extracted data looks like for real videos:
{
"video_id": "dQw4w9WgXcQ",
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"title": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)",
"category": "Music",
"keywords": ["rick astley", "Never Gonna Give You Up", "80s music", "rickroll"],
"duration_formatted": "3:33",
"view_count": 1830261945,
"view_count_formatted": "1,830,261,945 views",
"like_count": 19496173,
"like_count_formatted": "19,496,173 likes",
"comment_count": 2460586,
"channel_name": "Rick Astley",
"channel_handle": "@RickAstleyYT",
"channel_subscribers_formatted": "4.55M subscribers",
"is_channel_verified": false,
"is_channel_artist": true,
"is_short": false,
"status": "ok"
}
{
"video_id": "JSTr0EqXbKA",
"url": "https://www.youtube.com/watch?v=JSTr0EqXbKA",
"title": "Bala vs Gana Guna Gaana War ๐๐ฅ | Super Singer ROFL",
"category": "Comedy",
"duration_formatted": "0:34",
"view_count": 16423040,
"like_count": 284045,
"comment_count": 198,
"channel_name": "Mugaa",
"channel_handle": "@TheMugaa",
"is_channel_verified": true,
"is_short": true,
"status": "ok"
}
Build complete YouTube research workflows by pairing this tool with other BrowserMesh scrapers:
youtube-transcript-scraper): Download full word-for-word spoken transcripts, subtitle files (.srt, .vtt), or translated text for any video.website-meta-tag-extractor): Extract OpenGraph and Twitter card metadata from blog posts and articles embedding YouTube videos.website-social-links-extractor): Discover creator social profiles, TikTok handles, and Instagram accounts from their link-in-bio websites.No. You do not need an API key, Google Cloud console account, credit card, or developer credentials. Simply paste your YouTube video link into the tool to extract data immediately.
Yes! You can enter multiple YouTube video URLs or video IDs separated by newlines or commas. The tool will process them in bulk and organize all records into a single clean table.
Yes! While YouTube often rounds numbers like "19M likes" or "280K likes" on the website, this tool retrieves the exact unrounded count (e.g. 19,496,173) for maximum accuracy.
Yes! The scraper extracts YouTube's 100-point viewer engagement curve (heatmap), showing you the exact seconds where viewer retention is highest.
Yes! The scraper fully supports vertical YouTube Shorts, including Shorts up to 3 minutes long, providing view counts, like counts, durations, and channel details.
Yes! It captures the exact total comment count, whether comments are enabled, the pinned creator comment, the first viewer comment, and the initial batch of top comments with like counts and author names.
Yes! You can export your extracted data with one click directly into CSV, Excel, or JSON format for easy use in Google Sheets, reports, or presentations.
If a video cannot be viewed publicly, the scraper safely marks it with a clear status like 'private', 'video_unavailable', or 'age_restricted' and continues processing the rest of your list without crashing.
Yes! All creator-defined meta tags, keywords, and description hashtags are extracted in an organized list, making competitor SEO research effortless.
The scraper checks YouTube's synthetic media disclosure tag (is_synthetic_media). If the creator flagged their video as altered, realistic synthetic content, or AI-generated, it will be marked as true.
Yes! It identifies active live streams, live stream VOD replays, and scheduled premieres along with scheduled start times and live viewer numbers.
Yes! If a video contains recognized music, the scraper extracts the song title, performing artist, album name, and album artwork directly from the video description's music shelf.
This workflow executes natively within your local or peer BrowserMesh node using real Chromium browser automation. It navigates dynamically rendered single-page applications, executes interaction logic, avoids cloud proxy fees, and extracts clean structured datasets directly to your local machine with complete security and privacy.
Unlike legacy cloud scraping APIs that impose expensive per-request markups and risk IP bans, BrowserMesh routes execution through authentic residential environments. You pay zero cloud data transfer fees, experience full anti-bot stealth emulation, and retain 100% ownership of your extracted datasets without vendor lock-in.
3 records ยท 61 nested fields ยท real execution preview
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Explore our comprehensive guides or reach out directly to our engineering support team.