LinkedIn Post Transcript API
Extract timestamped transcripts from any public LinkedIn video in a single request.
GET request to /v1/linkedin/post-transcript that responds with clean JSON, costs 7 credits, and is cached for 24 hours (repeat calls are free). Start with 100 free credits — no credit card.What is the LinkedIn Post Transcript API?
The LinkedIn Post Transcript API lets you extract the full, timestamped transcript from LinkedIn with a single REST call. No OAuth, no scraping infrastructure, and no platform SDKs — send the URL, get clean structured JSON back. Results are cached for 24 hours, so repeat lookups are instant and free.
What you get
- Full transcript text with start/end timestamps
- Auto-detected language and segment count
- AI audio transcription fallback when no captions exist
- Clean JSON ready for RAG, search, or subtitles
Try it
Fill in the parameters below and copy a ready-to-run request in your language of choice.
Parameters
curl "https://api.captapi.com/v1/linkedin/post-transcript?url=https%3A%2F%2Fwww.linkedin.com%2Fposts%2Fwilliamhgates_example-activity-7180000000000000000-abcd" \
-H "Authorization: Bearer capt_live_..."Edit the parameters and the code updates instantly. Switch languages and hit copy.
Example response
{
"success": true,
"data": {
"platform": "linkedin",
"url": "https://www.linkedin.com/posts/activity-7478786553939488769-RXS2",
"transcript": "Excited to share that Argonove is building its investment talent pipeline.\n\nWe’re looking for an experienced Investment Associate with a background in infrastructure investing, project finance, investment banking, or digital infrastructure to help support our mission of developing university-anchored AI infrastructure across the United States.\n\nIf you're excited about building an entrepreneurial investment platform from the ground up, I'd love to hear from you.\n\nPlease apply through the LinkedIn posting or feel free to share it with someone who may be a great fit.\n\n#Hiring #Infrastructure #PrivateEquity #DigitalInfrastructure #DataCenters #AI #ProjectFinance #InvestmentBanking",
"transcriptSegments": [
{
"text": "Excited to share that Argonove is building its investment talent pipeline.\n\nWe’re looking for an experienced Investment Associate with a background in infrastructure investing, project finance, investment banking, or digital infrastructure to help support our mission of developing university-anchored AI infrastructure across the United States.\n\nIf you're excited about building an entrepreneurial investment platform from the ground up, I'd love to hear from you.\n\nPlease apply through the LinkedIn posting or feel free to share it with someone who may be a great fit.\n\n#Hiring #Infrastructure #PrivateEquity #DigitalInfrastructure #DataCenters #AI #ProjectFinance #InvestmentBanking",
"start": 0,
"duration": 0,
"timestamp": "00:00"
}
],
"wordCount": 92,
"segments": 1,
"author": {
"name": "Kadidia K.",
"headline": "Founder & Managing Partner, Argonove Capital | University-Based AI Data Centers | Digital Infrastructure & Energy | NACUBO | PE WIN",
"url": "https://www.linkedin.com/in/kadidia-konare-mpa?miniProfileUrn=urn%3Ali%3Afsd_profile%3AACoAAAAFUJQBlTyKwlGy6ux43DJOFhjpJyVYy8s"
},
"publishedAt": "2026-07-03 14:57:31"
}
}Billing metadata is returned in response headers: X-Captapi-Credits (credits charged), X-Captapi-Cache (hit or miss), and X-Captapi-Source. Failed requests (4xx/5xx) are never charged. See the full list of error codes in the error reference.
Response structure
A successful call returns success, cached, creditsUsed, and a data object with the following fields:
Full transcript
transcriptComplete text transcript of the video.wordCountTotal number of words in the transcript.segmentsTotal number of transcript segments.
Timestamped segments
Each item in transcriptSegments contains:
textThe spoken text for this segment.startStart time in seconds.durationDuration of the segment in seconds.timestampHuman-readable timestamp (MM:SS format).
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
| url | string | Yes | LinkedIn post or activity URL. The URL platform must match this endpoint's platform. Do not pass cross-platform URLs, e.g. YouTube to TikTok, Instagram to Facebook, LinkedIn to X/Twitter, or Pinterest to Rumble. |
Authentication: send your key as Authorization: Bearer capt_live_.... A typical call costs 7 credits. Repeat calls for the same request are served from cache for free.
linkedin_post_transcript via @captapi/mcp. Set it up →How it works
- 1. Sign up — get 100 free credits, no card required.
- 2. Create a key from your dashboard.
- 3. Send one request to
/v1/linkedin/post-transcriptand parse the JSON response.
Use cases
Accessibility
Provide captions and transcripts for hearing-impaired users.
Content Analysis
Analyze spoken content for keywords, topics, and sentiment.
Search & Discovery
Make video content searchable by text.
Content Creation
Extract quotes and key phrases from videos.
Language Learning
Provide text alongside audio for language learners.
Research
Analyze large volumes of video content efficiently.
SEO
Extract text content for search engine optimization.
Frequently asked questions
What does the LinkedIn Post Transcript API do?+
The LinkedIn Post Transcript API lets you extract the full, timestamped transcript from a public LinkedIn video using one GET request to /v1/linkedin/post-transcript. It returns clean JSON — no OAuth or scraping setup required.
How many credits does the LinkedIn Post Transcript API cost?+
Each successful call costs 7 credits. Responses are cached for 24 hours, and cached results cost 0 credits. Failed or empty results are never charged.
Do I need a LinkedIn API key or OAuth?+
No. A single Captapi key works across every platform Captapi supports — YouTube, TikTok, Instagram, Facebook, Twitter/X, Reddit, Threads, Bluesky, Pinterest, LinkedIn, and Rumble. We handle proxies, rate limits, retries, and authentication for you.
What if the LinkedIn video has no captions?+
When no captions are available, Captapi transcribes the audio with AI (Whisper) automatically, so you still get a usable transcript.
Is the LinkedIn Post Transcript API suitable for production use?+
Yes. It is a stable REST endpoint with predictable JSON, automatic retries, and a shared 24-hour cache. Use it for RAG pipelines, analytics, monitoring, and content automation.
More LinkedIn APIs
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