How to Get the Transcript of a LinkedIn Video Post (API)

LinkedIn video is where a lot of the platform's best thinking now lives, founders explaining a strategy, analysts breaking down a launch, operators sharing what actually worked. The problem is that video is the worst format for anyone trying to use that content. You can't skim it, can't search it, can't quote it, and can't feed it to an analysis pipeline. It's a wall of talking you have to sit through in real time.

A transcript fixes all of that, and we just shipped an endpoint that pulls one for a LinkedIn post's video in a single call. Here's how to use it and what it's good for.

What it does

Give it the URL of a LinkedIn post that contains a video, and it returns the transcript text, when LinkedIn exposes one. Base URL https://api.sociavault.com/v1, x-api-key header, 1 credit per request, payload under data:

const API_KEY = process.env.SOCIAVAULT_API_KEY;
const BASE = "https://api.sociavault.com/v1";

async function linkedinTranscript(postUrl) {
  const qs = new URLSearchParams({ url: postUrl }).toString();
  const res = await fetch(`${BASE}/scrape/linkedin/post/transcript?${qs}`, {
    headers: { "x-api-key": API_KEY },
  });
  if (!res.ok) throw new Error(`Request failed: ${res.status}`);
  return (await res.json()).data;
}

const data = await linkedinTranscript(
  "https://www.linkedin.com/posts/artificial-analysis_gemini-...-activity-7465082408409870337-4Pm-",
);
console.log(data.transcript);

The response gives you three fields that matter: transcript (the text), transcriptNotAvailable (a boolean, so you can branch cleanly when there's nothing to return), and url (the post it came from). Read them defensively:

import os, requests

API_KEY = os.environ["SOCIAVAULT_API_KEY"]
BASE = "https://api.sociavault.com/v1"

def linkedin_transcript(post_url):
    r = requests.get(f"{BASE}/scrape/linkedin/post/transcript",
                     headers={"x-api-key": API_KEY},
                     params={"url": post_url}, timeout=60)
    r.raise_for_status()
    data = r.json().get("data", {})
    if data.get("transcriptNotAvailable"):
        return None
    return data.get("transcript")

That transcriptNotAvailable flag is worth branching on rather than just checking for an empty string, it tells you the difference between "this post has no transcript" and a genuine problem.

What it's actually good for

A transcript is raw material. A few things it unlocks:

• Repurposing. Turn a strong LinkedIn video into a written post, a newsletter section, or a carousel outline. The creator already did the thinking on camera; you're just changing the format.
• Research at scale. Pull transcripts across a set of thought leaders in your space and you can search, cluster, and summarize what an entire niche is saying, without watching hours of video.
• Competitive content analysis. What angles and claims are competitors making in their video posts? Text makes that searchable. This pairs naturally with watching their paid side via the LinkedIn Ad Library.
• Accessibility and record-keeping. A searchable text copy of a video is simply more usable, and easier to archive, than the video itself.

Batch it safely

You'll rarely want a single transcript, you'll want transcripts across a set of posts (a creator's recent videos, a competitor's feed, a saved list). The endpoint handles one post per call, so loop on your side, skip the ones with no transcript, and cap the loop so a long list can't quietly drain credits:

import time

def batch_transcripts(urls, delay=1.0):
    results = {}
    for u in urls:
        try:
            t = linkedin_transcript(u)   # returns None when unavailable
            if t:
                results[u] = t
        except Exception as e:
            print(f"skip {u}: {e}")      # one failure shouldn't kill the run
        time.sleep(delay)                # gentle pacing
    return results

Two habits keep this cheap and reliable: branch on transcriptNotAvailable so you don't treat "no transcript" as an error, and store what you pull so you're not re-fetching the same post later. If you're wiring this into a larger pipeline, the same discipline from our note on saving credits with caching and caps applies directly.

The honest limits

• Only when LinkedIn exposes a transcript. If LinkedIn hasn't generated or surfaced one for that video, there's nothing to return, and transcriptNotAvailable will tell you so. This isn't an AI transcription service that listens to the audio; it returns the transcript LinkedIn makes available.
• The post must contain a video. A text-only or image post has no transcript. Point it at video posts.
• Auto-generated text has auto-generated flaws. Where the transcript is machine-generated, expect the usual quirks, misheard names, missing punctuation, mangled jargon. Great for search and gist; proofread before you quote it verbatim.
• Public posts only. You get transcripts for publicly viewable posts, consistent with only ever collecting public data.
• One post per call. There's no bulk mode; loop over URLs yourself and cap the loop so it can't run away with credits.

Frequently Asked Questions

How do I get the transcript of a LinkedIn video?

Pass the LinkedIn post URL to the post transcript endpoint. It returns the transcript text in data.transcript when LinkedIn exposes one, along with a transcriptNotAvailable flag so you can handle the "no transcript" case cleanly.

Does it work on any LinkedIn post?

Only posts that contain a video, and only when LinkedIn has a transcript available for that video. Text and image posts have nothing to transcribe, and transcriptNotAvailable will be true when no transcript exists.

Is this transcribing the audio itself?

No. It returns the transcript LinkedIn makes available for the video rather than running speech-to-text on the audio. If LinkedIn hasn't produced one, the endpoint reports that instead of generating its own.

How accurate is the transcript?

When it's machine-generated, expect typical auto-caption issues, misheard names, thin punctuation, and jargon errors. It's reliable for searching, summarizing, and getting the gist, but proofread before quoting it word for word.

How much does it cost?

1 credit per request, and it handles one post per call. Loop over multiple URLs on your end (with a sensible cap) to process many posts. You start with 50 free credits and no card.

Can I get transcripts for private posts?

No, public posts only. This is consistent with our approach of collecting only publicly available data.

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Want to turn LinkedIn video into searchable, reusable text? Start free with 50 credits, no card required and pull your first transcript today. Newer to the API? Start with our guide for indie developers.