YouTube Transcript Scraper
Pricing
Pay per usage
YouTube Transcript Scraper
Extract YouTube video transcripts with timestamps, word counts, and full video metadata.
Pricing
Pay per usage
Rating
5.0
(1)
Developer
Happy B
Actor stats
2
Bookmarked
3
Total users
2
Monthly active users
21 hours ago
Last modified
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What is YouTube Transcript Scraper?
YouTube Transcript Scraper extracts complete transcripts from any public YouTube video — with timestamped segments, word counts, and full video metadata in one flat row.
Every transcript comes with exact view counts, ISO 8601 dates, tags, and categories. No post-processing needed.
Data points extracted per video
| Field | Description | Example |
|---|---|---|
transcriptText | Full plain text transcript | Apache Spark is an open-source data analytics engine... |
transcriptSegments | Timestamped segments (JSON) | [{"start":0.32,"duration":4.08,"text":"Apache Spark..."}] |
transcriptLanguage | Actual language returned | en |
transcriptWordCount | Word count of full text | 1847 |
transcriptAvailable | Whether captions exist | true |
videoId | YouTube video ID | dQw4w9WgXcQ |
title | Video title | Rick Astley - Never Gonna Give You Up |
publishedAt | ISO 8601 upload date | 2009-10-25T06:57:33Z |
viewCount | Exact view count | 1500000000 |
likeCount | Exact like count | 15000000 |
commentCount | Exact comment count | 3200000 |
duration | ISO 8601 duration | PT3M33S |
durationSeconds | Duration in seconds | 213 |
tags | Video tags | rick astley,never gonna give you up |
categoryId | YouTube category ID | 10 |
categoryName | Human-readable category | Music |
thumbnailUrl | Video thumbnail | https://i.ytimg.com/vi/.../maxresdefault.jpg |
channelName | Channel name | Rick Astley |
channelId | Channel ID | UCuAXFkgsw1L7xaCfnd5JJOw |
20 fields per video. Transcript + metadata in one row.
Why use this scraper?
Our Actor vs Top YouTube Transcript Actors
| Feature | Us | Pinto Studio | StarVibe | Karamelo |
|---|---|---|---|---|
| Bulk video URLs | ✅ | ❌ 1 only | ❌ 1 only | ✅ |
| Timestamped segments | ✅ | ✅ | ✅ | ✅ |
| Plain text output | ✅ | ❌ | ✅ | ✅ |
| Word count | ✅ | ❌ | ❌ | ❌ |
| Language selection | ✅ | ✅ | ✅ | ❌ |
viewCount exact integer | ✅ | ❌ | ❌ abbreviated | ❌ abbreviated |
likeCount exact integer | ✅ | ❌ | ❌ | ❌ |
publishedAt ISO 8601 | ✅ | ❌ | ✅ | ✅ |
tags | ✅ | ❌ | ❌ | ✅ keywords |
categoryId + categoryName | ✅ | ❌ | ❌ | ❌ |
durationSeconds integer | ✅ | ❌ | ❌ | ❌ |
- One row, full picture — transcript + video metadata in one flat CSV row. No second API call needed.
- Incremental delivery — Results appear in your dataset as each video is processed.
- From $5.00 per 1,000 transcripts — Volume discounts down to $3.00 on Business plan.
Use cases
- Content repurposing — Turn video content into blog posts, newsletters, and social media. The full text is ready for editing, the word count tells you the article length.
- AI/ML training data — Feed structured transcripts with metadata into classification, embedding, or fine-tuning pipelines. Tags and categories provide free labels.
- SEO optimization — Extract keyword-rich transcript text to create written content that boosts organic search rankings.
- Academic research — Build corpora for communication studies, discourse analysis, and media research. Exact timestamps enable precise citation.
- Accessibility — Generate subtitle files from timestamped segments for videos that lack proper captions.
- Competitive analysis — Analyze what competitors talk about, how long their content is, and which topics get the most engagement.
How much does it cost?
Each video counts as one item, whether or not a transcript is available.
| Plan | Price per 1,000 items |
|---|---|
| Free | $5.00 |
| Starter | $4.00 |
| Scale | $3.50 |
| Business | $3.00 |
| Scenario | Items | Cost |
|---|---|---|
| 5 videos | 5 | $0.025 |
| 50 videos | 50 | $0.25 |
| 500 videos | 500 | $2.50 |
| 1,000 videos | 1,000 | $5.00 |
Apify also charges a small compute cost (CU) for the actor's runtime — typically under $0.01 for most runs.
Input
| Parameter | Type | Default | Description |
|---|---|---|---|
videoUrls | string[] | required | YouTube video URLs or bare video IDs. Supports youtube.com/watch, youtu.be, /shorts/, /embed/, /live/ formats. |
language | string | en | Preferred transcript language (ISO 639-1). Falls back to auto-generated captions if manual not available. |
includeTimestamps | boolean | true | Include timestamped segments in transcriptSegments. Disable for plain text only. |
includeVideoMetadata | boolean | true | Attach video metadata (title, views, likes, tags, category) to each row. |
Output example
Each item in the dataset is a single video:
{"transcriptText": "We're no strangers to love You know the rules and so do I...","transcriptSegments": "[{\"start\":0.0,\"duration\":3.12,\"text\":\"We're no strangers to love\"},{\"start\":3.12,\"duration\":4.56,\"text\":\"You know the rules and so do I\"}]","transcriptLanguage": "en","transcriptWordCount": 254,"transcriptAvailable": true,"videoId": "dQw4w9WgXcQ","title": "Rick Astley - Never Gonna Give You Up (Official Music Video)","publishedAt": "2009-10-25T06:57:33Z","viewCount": 1500000000,"likeCount": 15000000,"commentCount": 3200000,"duration": "PT3M33S","durationSeconds": 213,"tags": "rick astley,never gonna give you up,official music video","categoryId": 10,"categoryName": "Music","thumbnailUrl": "https://i.ytimg.com/vi/dQw4w9WgXcQ/maxresdefault.jpg","channelName": "Rick Astley","channelId": "UCuAXFkgsw1L7xaCfnd5JJOw","scrapeTimestamp": "2026-04-02T12:00:00Z"}
When transcriptAvailable is false, the video has no captions — transcriptText and transcriptSegments will be empty, but video metadata is still populated.
Download your results as JSON, CSV, Excel, XML, or HTML from the dataset tab, or access them via the Apify API.
Good to know
Not all videos have transcripts. Videos without captions (manual or auto-generated) will return transcriptAvailable: false. The video metadata is still extracted.
Language fallback. If the requested language isn't available, the scraper falls back to auto-generated captions in the closest available language.
Bulk processing. Videos are processed in batches for efficiency. Large runs (500+ videos) may take a few minutes.
Integrations
Connect this actor to your workflow with Apify integrations:
- Make (Integromat) — trigger workflows when new data is available
- Zapier — push transcripts to Google Sheets, Slack, or databases
- GitHub — store results in repositories
- Google Drive — export directly to spreadsheets
- Webhooks — notify your API when the run completes
- Apify API — programmatic access for custom pipelines
Legal and personal data
This actor extracts publicly available data from YouTube. You should ensure your use of the extracted data complies with YouTube's Terms of Service, applicable data protection laws (GDPR, CCPA), and your jurisdiction's regulations regarding web scraping and data processing.
Transcripts are publicly visible on YouTube when captions are enabled.
Support
Found a bug or have a feature request? Open an issue on the Issues tab or contact us through Apify messaging.