Facebook Transcript Extractor

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Extract transcripts from any Facebook video. Paste a URL, get back timestamped text -- ready for repurposing, analysis, or translation.

Works with any public video. No login required.

What it does

1. You provide a Facebook video URL.
2. The actor extracts the transcript.
3. You get back structured text with timestamps -- in JSON, plain text, or SRT.

Key features

• Multi-language -- supports any language Facebook provides captions for. See supported languages for speech-to-text fallback.
• 4 output formats -- JSON with timestamps, plain text, SRT subtitles, or WebVTT.
• Video metadata -- title, author, duration, thumbnail, and upload date.
• All URL formats -- standard, mobile, watch, and fb.watch links all work.
• Fast on repeat lookups -- recently extracted videos return from cache in milliseconds.
• No login required.

Supported languages

When captions are available, the actor supports any language Facebook provides. When captions aren't available, the speech-to-text fallback supports:

Input

Supported URLs

https://www.facebook.com/watch/?v=1234567890
https://www.facebook.com/username/videos/1234567890
https://fb.watch/abc123/
https://m.facebook.com/watch/?v=1234567890

Output example

When format is json, the dataset row looks like this:

{
"url":"https://www.facebook.com/...",
"platform":"facebook",
"video_id":"...",
"source":"live",
"metadata":{
"title":"...",
"duration_sec":120,
"extracted_via":"..."
},
"transcript":{
"language":"en",
"segments":[
{"start":0.0,"end":3.5,"text":"..."},
{"start":3.5,"end":7.2,"text":"..."}
],
"full_text":"..."
}
}

When format is text, srt, or vtt, the formatted transcript is written to the actor's key-value store under the OUTPUT key.

source indicates freshness: live (fresh pipeline run), warm (recent cache hit), cold (older cache rehydrate).

When extraction fails, you get a clear error in the dataset:

{
"error":"NotAvailable",
"message":"No transcript available for this video."
}

Error codes

Use cases

• Content repurposing -- turn Facebook videos into blog posts, articles, or social media content.
• Accessibility -- generate transcripts for hearing-impaired audiences.
• Market research -- analyze what creators and brands are saying at scale.
• SEO -- extract text content from videos for search engine optimization.
• Translation -- get transcripts as a starting point for multilingual subtitles.
• Dataset building -- collect transcripts for training, analysis, or archival.

Integrations

Use this actor with the Apify API or connect it to your workflow:

• Python -- apify_client.actor("your-actor-id").call(run_input={"url": "..."})
• JavaScript -- await client.actor("your-actor-id").call({url: "..."})
• Zapier / Make / n8n -- trigger on new videos and get transcripts automatically.
• Webhooks -- get notified when a transcript is ready.

FAQ

Does this need a Facebook account? No. Works with any public video, no login needed.

What if a video has no subtitles? The actor will still extract a transcript using speech-to-text.

Which languages work? Any language Facebook provides captions for. See the supported languages table for speech-to-text fallback.

Can I process multiple videos? Yes. Call the actor via the Apify API or use integrations (Zapier, Make, n8n) to process videos in a loop.

What does it cost? The actor runs on the Apify platform. Cost depends on video length and processing needed.