YouTube Video Transcripts and Captions Scraper
Pricing
$0.90 / 1,000 results
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YouTube Video Transcripts and Captions Scraper
Extract video transcripts, closed captions, timed segments, and metadata from any YouTube video or search query. Formatted for ChatGPT and Claude ingestion.
Pricing
$0.90 / 1,000 results
Rating
0.0
(0)
Developer
Darim Quraishi
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
16 hours ago
Last modified
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Extract full video transcripts, timed closed captions, view counts, and channel metadata from YouTube videos and search queries.
Features
- Extracts complete video transcripts and closed captions without API keys.
- Provides both continuous paragraph text and timed segment arrays.
- Supports direct video URLs, video IDs, or keyword search queries.
- Extracts video title, channel name, view count, publish date, and duration.
- Handles automatic and creator-uploaded captions in multiple languages.
- Runs lightweight requests without headless browser rendering.
Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
videoUrls | Array | ["https://www.youtube.com/watch?v=kJQP7kiw5Fk"] | YouTube video URLs or video IDs. |
searchQuery | String | "" | Search query to discover top videos (e.g. Sam Altman AI interview). |
preferredLanguage | String | "en" | Subtitle language code (en, es, fr, etc.). |
maxVideos | Integer | 10 | Maximum number of videos to scrape. |
includeTimedSegments | Boolean | false | Include timestamped segments array. |
Output format
json { "videoId": "kJQP7kiw5Fk", "url": "https://www.youtube.com/watch?v=kJQP7kiw5Fk", "title": "Luis Fonsi - Despacito ft. Daddy Yankee", "channelName": "Luis Fonsi", "channelUrl": "https://www.youtube.com/channel/UCxoq-PAQeAdk_zyg8YS0JqA", "durationSeconds": 282, "thumbnailUrl": "https://i.ytimg.com/vi/kJQP7kiw5Fk/hqdefault.jpg", "hasTranscript": true, "transcriptLanguage": "es", "transcriptText": "Ay Fonsi D.Y. Oh-oh... Sí, sabes que ya llevo un rato mirándote...", "wordCount": 420, "scrapedAt": "2026-10-22T13:45:00.000Z" }Use cases
- LLM ingestion: Extract clean text transcripts for document summarization and QA.
- Study notes: Convert educational videos and lectures into readable markdown.
- Content repurposing: Turn video presentations into blog posts and documentation.
- Media monitoring: Search spoken video content for company or product mentions.
Pricing and efficiency
- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.
