X (Twitter) Video Transcript Scraper: Posts & Videos to Text
Pricing
from $2.40 / 1,000 posts
X (Twitter) Video Transcript Scraper: Posts & Videos to Text
Turn X (Twitter) videos into text: give post links and get the post's text, author, date, likes, replies, photos and video files, plus what is said in each video, word for word in any language. Quoted posts included. No login, no API key.
Pricing
from $2.40 / 1,000 posts
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Zaiq
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9 days ago
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X (Twitter) Video Transcript Scraper: posts and videos to text

Turn X (Twitter) videos into text. Give it post links and get back each post's text, author, date, likes, replies, hashtags, links, photos and video files, the post it quotes or answers, and what is said in its video, word for word in the language spoken. No login, no X API key, no developer account.
Built for researchers, journalists, PR teams and AI pipelines that need the words in X videos: speeches, interviews, product demos, news clips and creator videos.
What you get
| Field | What it holds |
|---|---|
transcript | Everything said in the post's video (empty when it has none) |
hook, hookStartSeconds | The opening line: what is said in the first 3 seconds of speech, run on to the end of its sentence, and the second it starts |
segments, srt (Timestamps on) | Each sentence with its start and end in seconds, and an SRT subtitle file |
translation (optional) | The transcript in the language you pick, with transcriptLanguage and translationLanguage |
text, hashtags, mentions, links | The post's own text, links opened |
likes, replies | Engagement shown to signed-out visitors |
author, authorName, authorVerified | Who posted it |
createdAt, lang, edited | When, in what language, edited or not |
media | Photos and video files with their length |
| Quoted or answered post | The post it quotes and the one it answers |
What people use it for
- Media monitoring: write down what was said in a viral clip, minutes after it is posted
- Research and journalism: quote speeches and interviews accurately
- Brand and PR: track what is said about you in videos on X
- Content repurposing: turn your own X videos into threads, posts and articles
- AI pipelines: feed video speech to a summariser, fact-checker or search index
How to use it
- Paste one or more post links (x.com or twitter.com, or just the post ids).
- Keep Transcripts on to get each video's speech.
- Click Start: posts come back in seconds, transcripts a few seconds each.
- Download JSON, CSV or Excel, or send the results to Sheets, Make, Zapier or your app.
Input
| Field | Example | Notes |
|---|---|---|
| Post links | https://x.com/<user>/status/<id> | One per line; twitter.com links and bare ids work |
| Transcripts | on | Speech in each video, any language |
| Timestamps and subtitles | on | Segments and an SRT file; no extra charge |
| Translate transcripts to | English | Optional, 19 languages; no extra charge from this Actor |
Output
Each result is one row in the run's dataset (download it as JSON, CSV, Excel, XML or HTML, or read it through the API). An example row (values shortened):
{"kind": "post","url": "https://x.com/example/status/1585341984679469056","author": "example","createdAt": "2022-10-26T18:45:58Z","text": "Entering … – let that sink in!","lang": "en","likes": 1219923,"replies": 57988,"media": [{"type": "video","durationSeconds": 9}],"transcript": "He's like ready to get stuck into it. You can't help it. That's okay.","transcriptLanguage": "en","hook": "He's like ready to get stuck into it. You can't help it. That's okay.","hookStartSeconds": 0.0,"segments": [{"start": 0.0,"end": 2.1,"text": "He's like ready to get stuck into it."},{"start": 2.5,"end": 4.1,"text": "You can't help it. That's okay."}],"srt": "1\n00:00:00,000 --> 00:00:02,100\nHe's like ready to get stuck into it.\n…"}
A record named SUMMARY in the run's key-value store says what each post returned, with notes (for example a deleted post), what was charged and how much traffic the run used. The example row is from a run on 17 October 2026 (account name removed, text shortened): a 9-second video; 1 post and 1 transcript minute were charged.
Pricing
- $0.003 per post returned
- $0.008 per started minute of speech written down, with timestamps, SRT, the opening line and the translation (only with Transcripts on)
- Deleted and protected posts and videos with no speech cost nothing
- The AI model that writes the speech down (Google's Gemini Flash) is billed by Apify at its exact cost: about $0.004 a minute with timestamps on paid Apify plans (measured 17 October 2026); Apify charges free-plan accounts 10 times that
What typical jobs cost at the list price:
| Job | Cost |
|---|---|
| 10 posts, no videos | $0.03 |
| 10 posts with 1-minute videos, transcribed | about $0.11 |
| 50 posts with 3-minute videos, transcribed | about $1.35 |
On Apify's Scale and Business plans the per-event prices are lower (Store discounts). Set Maximum cost per run and the Actor stops cleanly when it is reached: you never pay more than that.
Tips
- Up to 50 posts are read in one go; give hundreds and they are read in batches.
- Leave Transcripts off for a quick export of post text and engagement.
- Pair it with an AI summariser to turn long clips into a few lines.
Use it through the API
Python
from apify_client import ApifyClientclient = ApifyClient("<YOUR_APIFY_TOKEN>")run = client.actor("zaiq/x-video-transcript-scraper").call(run_input={"postUrls": ["https://x.com/<user>/status/<post id>"], "transcripts": true})for row in client.dataset(run.default_dataset_id).iterate_items():print(row)
JavaScript
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });const run = await client.actor('zaiq/x-video-transcript-scraper').call({"postUrls": ["https://x.com/<user>/status/<post id>"], "transcripts": true});const { items } = await client.dataset(run.defaultDatasetId).listItems();
HTTP (one call, results back)
curl -X POST 'https://api.apify.com/v2/acts/zaiq~x-video-transcript-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>' \-H 'Content-Type: application/json' \-d '{"postUrls": ["https://x.com/<user>/status/<post id>"], "transcripts": true}'
Integrations and schedules
- Schedules: run it every hour, day or week from the Apify Console (Schedules) and keep a history of results.
- Make, Zapier, n8n, Google Sheets, Slack, Airtable: connect it through Apify's integrations, or send each finished run to a webhook.
- Datasets: results stay in the run's dataset; export them or read them by API whenever you need them.
Use it with AI agents (MCP)
Add Apify's MCP server (https://mcp.apify.com) to Claude, ChatGPT, Cursor, VS Code or any MCP client. The agent can find this Actor and run it for you: ask it for "what is said in the video in this X post". AI agents can also pay for runs directly through Apify's agentic payments.
Limits
- Posts by link only: X shows signed-out visitors no profiles, timelines or search.
- X shows signed-out visitors no repost or view counts.
- Videos up to 30 minutes are written down in full: long speech goes to the AI in 2-minute pieces, so it is not cut off.
- Public data only: you are responsible for how you use it under X's terms and the privacy laws that apply to you.
FAQ
Do I need an X account or API key?
No. Posts are read from X's public embed data, signed out.
Which languages work?
Any: the speech is written down in the language spoken.
Can I search X or get a profile's posts?
Not signed out. Give the post links (from a list, a search you ran yourself, or another tool).
Why was a post not read?
It was deleted, protected, or the link is wrong. It is not charged.
Related Actors from Zaiq
- tiktok-transcript-scraper: TikTok videos to text
- instagram-transcript-scraper: Instagram reels to text
- youtube-transcript-scraper: YouTube transcripts and subtitles
- google-news-scraper: the news coverage around a post
Support
Questions, a site that changed, or a field you need? Open an issue on this Actor's Issues tab: we answer there, usually within a day.
Also found as: twitter video transcript, x video to text, tweet scraper, twitter scraper no login, x posts scraper, twitter transcription.