Facebook Video Transcript Extractor

Facebook Video Transcript Extractor – Accurate Caption & Subtitle Scraping

The Facebook Video Transcript Extractor allows you to collect transcripts and captions from public Facebook videos in a structured format. It supports scalable Facebook video scraping, automated subtitle extraction, and reliable social media transcript download for research, analytics, and content repurposing. 🎥

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🆘 Support & Feedback

🐞 Bug reports: Open a ticket in the repository's Issues section.

✨ Custom solutions or feature requests: Contact our team
📧 Email: dev.scraperengine@gmail.com

We continuously improve the Facebook Video Transcript Extractor and welcome feedback to enhance performance, extend Facebook caption scraping capabilities, and optimize large-scale video data extraction workflows.

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🌟 Key Features

Feature	Description
Transcript Extraction	Extract available transcripts or auto-generated captions from public Facebook videos with high accuracy.
Multi-Video Support	Process single or multiple Facebook video URLs in one run for scalable Facebook video transcript scraping.
Structured Data Output	Receive clean JSON or CSV output ready for analytics, NLP pipelines, or archiving workflows.
Language Detection	Capture transcript language details when available to support multilingual analysis.
Scalable Infrastructure	Built on Apify to handle high-volume video caption extraction with stable performance.

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📥 Input

{
  "urls": [
    "https://www.facebook.com/100044280796927/videos/2301741263587145",
    "https://www.facebook.com/100044280796927/videos/4141502542759187"
  ]
}

Provide one or multiple public Facebook video URLs. Optional settings allow you to define maximum results, output format, and advanced scraping configurations. Proxy and performance settings can be adjusted for large-scale Facebook subtitle extraction or automated transcript collection projects.

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📤 Output

{
    "url": "https://www.facebook.com/100044280796927/videos/2301741263587145",
    "transcript": "We're also working with the military on it because they want to make sure everything's perfect and the military is very much involved in this. They want to make sure everything is absolutely beautiful. You can see the kind of interiors that we're talking about. That's an interior of the ballroom. And it's the highest level. And you see it goes beautifully with the White House. I mean the mix is beautiful. So over the years many presidents have made changes. This obviously would be the biggest change but this was something they've wanted for at least a hundred and fifty years.",
    "error": null,
    "timestamp": 1772484891.5903203
  },

The actor returns structured transcript data in JSON or CSV format. Each record typically includes video URL, transcript text, caption segments, timestamps when available, and detected language. Output is optimized for content analysis, SEO research, speech-to-text validation, and automated media monitoring systems.

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💻 How to Use

1️⃣ Open the Actor

Go to the Facebook Video Transcript Extractor page on Apify.

2️⃣ Add Video URLs

Insert one or multiple public Facebook video links into the input field.

3️⃣ Configure Settings

Adjust output format and optional scraping parameters as needed.

4️⃣ Run the Actor

Click “Run” to start extracting transcripts and captions.

5️⃣ Download Results

Export the structured transcript data in JSON or CSV format.

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💡 Best Use Cases

The Facebook Video Transcript Extractor is ideal for media monitoring, content repurposing, SEO keyword research, sentiment analysis, and academic research. It helps marketers, analysts, and developers automate Facebook video transcript scraping and structured subtitle extraction workflows efficiently. 📊

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Disclaimer

This tool extracts only publicly available transcript and caption data. Users are responsible for complying with Facebook’s terms of service, copyright regulations, and local data protection laws when using the Facebook Video Transcript Extractor. This actor is not affiliated with or endorsed by Facebook. Use responsibly when performing Facebook video data extraction activities.