LinkedIn API · Endpoint

LinkedIn Post Transcript API

Q: What do I send?

Send url. The input fields below list every option with its type and limits.

Q: Can my AI agent call it?

Yes, over MCP: the agent finds linkedin.post.transcript.get, checks its price and runs it with the same credits as the REST API.

Get the captions of a video post as text with timings, in the language you choose.

1 credit per call
Failed calls are free
Updated 14 Oct 2026
linkedin.post.transcript.get

Start free, 100 credits API reference

Response completed

{  "text": "It's just so cool to be able to put a piece of my country\nin a place like Times Square, you know? It's insane to\nthink about. My name is He…",  "available": true,  "count": 22,  "language": "en",  "matched_count": 22,  "url": "https://www.linkedin.com/feed/update/urn:li:activity:7508957863713714180",  "video_count": 1,  "video_index": 0,  "available_languages": [    "en"  ],  "segments": [    {      "text": "It's just so cool to be able to put a piece of my country",      "end_seconds": 4.077,      "start_seconds": 0.36    },    {      "text": "in a place like Times Square, you know? It's insane to",      "end_seconds": 7.601,      "start_seconds": 4.077    }  ]}

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Input

What you send

The input object of the request, with every field the endpoint accepts.

Field	Type	Required	What it does	Example
url	string	yes	Public LinkedIn post URL, numeric activity ID, or urn:li:activity:<id>. A caption URL is never required or accepted.	https://www.linkedin.com/feed/update/urn:li:act…
end_seconds	number	no	Exclusive upper time bound, greater than start_seconds. Omit for the complete exposed file. At least 0.
format	string	no	Return transcript text, timed segments, or both. count reports selected cues even for text-only output. Allowed values: `text`, `segments`, `both`. Default: `both`.	both
language	string	no	Optional exposed-language match, e.g. en. Does not translate or request an unobserved track.
max_segments	integer	no	Maximum matching cues returned. The source is one caption file, not a paginated endpoint. From 1 to 5000. Default: `2000`.	2000
start_seconds	number	no	Include cues overlapping this lower bound, preserving original cue timestamps. At least 0. Default: `0`.
video_index	integer	no	Zero-based video position within the public post. From 0 to 20. Default: `0`.

Response

Fields it returns

What each record in the response holds, with the values from the sample above.

Field	Type	What it is	Example
text	string	The whole transcript as text.	It's just so cool to be able to put a piece of my country in a …
available	boolean	Whether captions exist for the video.	true
available_languages	array	Caption languages the video has.	en
count	integer	Parts in this response.	22
language	string	The caption language returned.	en
matched_count	integer	Parts that match your time window.	22
segments	array	The transcript in timed parts.	22 records
segments[].end_seconds	number	When the part ends, in seconds.	4.08
segments[].start_seconds	number	When the part starts, in seconds.	0.36
segments[].text	string	What is said in this part.	It's just so cool to be able to put a piece of my country
url	string	The post the video is in.	https://www.linkedin.com/feed/update/urn:li:activity:7508957863…
video_count	integer	Videos in the post.	1
video_index	integer	Which video in the post was read, counting from 0.	0

REST API · MCP server

Call it from your code, or ask your agent

Set UPSCRAPE_API_KEY to your key and copy a working request.

curl --request POST \  --url https://data.upscrape.com/execute \  --header "Authorization: Bearer $UPSCRAPE_API_KEY" \  --header "Content-Type: application/json" \  --header "Prefer: wait=30" \  --data '{  "capability": "linkedin.post.transcript.get",  "input": {    "format": "both",    "max_segments": 2000,    "url": "https://www.linkedin.com/feed/update/urn:li:activity:7508957863713714180/"  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "linkedin.post.transcript.get",  "input": {    "format": "both",    "max_segments": 2000,    "url": "https://www.linkedin.com/feed/update/urn:li:activity:7508957863713714180/"  }}''')response = requests.post(    "https://data.upscrape.com/execute",    headers={        "Authorization": f"Bearer {os.environ['UPSCRAPE_API_KEY']}",        "Content-Type": "application/json",        "Prefer": "wait=30",    },    json=payload,)response.raise_for_status()print(json.dumps(response.json(), indent=2))

const response = await fetch("https://data.upscrape.com/execute", {  method: "POST",  headers: {    "Authorization": `Bearer ${process.env.UPSCRAPE_API_KEY}`,    "Content-Type": "application/json",    "Prefer": "wait=30",  },  body: JSON.stringify({  "capability": "linkedin.post.transcript.get",  "input": {    "format": "both",    "max_segments": 2000,    "url": "https://www.linkedin.com/feed/update/urn:li:activity:7508957863713714180/"  }}),});if (!response.ok) {  throw new Error(`Upscrape request failed: ${response.status}`);}console.log(JSON.stringify(await response.json(), null, 2));

In your AI agent Claude · Cursor · any MCP client

1Add the Upscrape MCP server

https://data.upscrape.com/mcp

2Ask for the data in plain words

With Upscrape, get the LinkedIn post transcript for format "both", max segments "2000" and https://www.linkedin.com/feed/update/urn:li:activity:7508957863713714180/. Tell me what it costs before you run it, then show the results as a table.

The agent finds the endpoint, shows you the price, and runs it with your credits.

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