Facebook Transcript & Subtitle scraper

Facebook Transcript & Subtitle Scraper

The Facebook Transcript & Subtitle Scraper is an Apify Actor that extracts available transcript and subtitle data from public Facebook videos using Facebook video URLs or share links. It accepts one or multiple sources and returns structured transcript content with basic video metadata.

For each successful video, the Actor can return the URL, title, description, thumbnail URL, timestamped transcript events, transcript segments, and a single-line transcript. You can keep all transcript representations or select a specific format.

It is useful for content research, video analysis, transcript collection, dataset creation, and text-based workflows. Results are pushed to an Apify dataset.

Transcript availability depends on whether suitable English subtitle or caption data can be extracted from the supplied video.

What Is the Facebook Transcript & Subtitle Scraper?

This Facebook Transcript & Subtitle Scraper turns available subtitle or caption information from Facebook videos into structured text data. Provide source URLs and collect the transcript in an Apify dataset.

The Actor accepts Facebook video URLs and share links, with multiple sources per run.

The transcript has three representations. transcript stores speech segments with start and end times. transcript_text stores those segments as text strings. one_line_text combines the extracted segments into one continuous string.

Key Features

Feature	Description	User Benefit
Facebook video input	Accepts one or multiple Facebook video URLs or share links.	Process multiple sources in one run.
English subtitle extraction	Looks for available English subtitle or caption data.	Collect supported English transcript text.
Multiple output formats	Supports all formats, timestamped transcript, transcript text, or one-line text.	Choose the structure needed for your workflow.
Video metadata	Returns URL, title, description, and thumbnail URL.	Keep transcript data with source context.
Timestamped events	Transcript items contain start, end, and text.	Relate spoken text to video timing.
Dataset output	Successful results are pushed to the Apify dataset.	Review and reuse structured records.

What Data Can You Extract?

Video metadata includes url, title, description, and thumbnail_url.

The transcript field is an array of timestamped events. Each event includes start, end, and text, with times in seconds. transcript_text contains the segments as an array of strings, while one_line_text combines them into one string.

Depending on outputFormat, some transcript representations are removed from the final item. Metadata fields remain available.

Why Use This Actor?

This Actor automates transcript collection for the Facebook video URLs you provide and stores successful results in a structured dataset.

Selectable formats reduce cleanup: timestamped data supports time-based review, while text-only formats suit search and analysis.

Benefits

• Automates transcript and subtitle collection from supplied Facebook videos.
• Supports multiple video URLs in one run.
• Keeps video metadata with transcript information.
• Provides timestamped and text-only representations.
• Produces structured Apify dataset records.

How to Use the Facebook Transcript & Subtitle Scraper

1. Add one or more Facebook video URLs or share links to videoUrls.
2. Select the required outputFormat.
3. Start the Actor run.
4. Review the resulting dataset items.
5. Use the selected format in your workflow.

For an initial test, use a public Facebook video with English subtitles or captions.

Input

Input is a JSON object with videoUrls and outputFormat. Both are required in the supplied schema, and all_type is the default.

Input Fields

Field	Type	Required	Default	Description
videoUrls	Array of objects	Yes	—	Facebook video URLs or share links. Each item contains url.
outputFormat	String	Yes	all_type	Controls which transcript representation is kept.

Supported outputFormat values:

• all_type — keeps transcript, transcript_text, and one_line_text.
• transcript_timesup — keeps transcript.
• transcript_text — keeps transcript_text.
• one_line_text — keeps one_line_text.

Each videoUrls item should be an object containing a url value. Entries without a usable URL value are skipped.

Input Example

{
  "videoUrls": [
    {
      "url": "https://www.facebook.com/watch?v=1152968962664538"
    },
    {
      "url": "https://www.facebook.com/share/v/17jekeg46H/"
    }
  ],
  "outputFormat": "all_type"
}

Output

Each successfully processed video produces a dataset item. all_type keeps all transcript representations; other selections remove unrequested transcript fields.

A timestamped event looks like:

{
  "start": 0.0,
  "end": 2.5,
  "text": "Example spoken text."
}

The timing values are seconds. transcript_text stores event text as an array, while one_line_text joins the segments into one string.

Output Fields

Field	Description
url	Original Facebook video URL or share link.
title	Extracted video title, when available.
description	Extracted video description, when available.
thumbnail_url	Extracted thumbnail URL, when available.
transcript	Timestamped events containing start, end, and text.
transcript_text	Transcript event text as an array of strings.
one_line_text	Transcript text combined into one string.

Transcript fields may be empty when no suitable English subtitle or caption data is available.

Output Example

{
  "url": "https://www.facebook.com/watch?v=1152968962664538",
  "title": "Example Facebook Video",
  "description": "Example video description.",
  "thumbnail_url": "https://example.com/thumbnail.jpg",
  "transcript": [
    {
      "start": 0.0,
      "end": 2.5,
      "text": "Welcome to this video."
    },
    {
      "start": 2.5,
      "end": 5.8,
      "text": "Today we will discuss the topic."
    }
  ],
  "transcript_text": [
    "Welcome to this video.",
    "Today we will discuss the topic."
  ],
  "one_line_text": "Welcome to this video. Today we will discuss the topic."
}

Use Cases

• Content research — collect searchable text from public Facebook videos.
• Video analysis — review spoken content without manually copying each segment.
• Transcript datasets — build structured collections of Facebook video text.
• Media research — combine video metadata with extracted transcript content.
• Text processing — use transcript arrays or one-line text in downstream workflows.
• Timestamp review — inspect speech segments alongside video timing.
• Research automation — process multiple Facebook video sources in one run.

Competitive Advantages

The Actor provides a focused Facebook-video transcript workflow: submit sources, choose a format, and receive structured dataset records.

Its practical strengths include multiple inputs, timestamped events, separate text representations, and basic video metadata in the same item.

Pros and Cons

Pros	Cons
Supports one or multiple Facebook video URLs or share links.	Transcript extraction depends on suitable English subtitle or caption data.
Provides timestamped and text-based transcript formats.	A source may be skipped when extraction fails.
Includes basic video metadata with transcript content.	The schema does not document a maximum URL count.
Lets users choose the transcript representation.	The language focus is English subtitle or caption data.

Comparison With Alternative Approaches

Capability	This Actor	Manual / Typical Alternative
Multiple Facebook video inputs	Supported	Often handled one source at a time
Structured transcript events	Supported	Usually requires manual formatting
Metadata with transcript	Supported	May require separate collection
Selectable transcript format	Supported	Often requires post-processing
Apify dataset output	Supported	Requires a separate storage workflow

This table describes workflow differences.

Limitations

The Actor is designed for Facebook video URLs and share links. Its transcript logic looks for English subtitle or caption tracks; there is no input for choosing another language.

Not every public Facebook video will return transcript text. A source may have no suitable extractable English captions or may fail during processing, leaving transcript fields empty or causing the source to be skipped.

The schema does not define a maximum URL count; test a small sample first.

Best Practices

• Test a small group of public Facebook videos before a larger batch.
• Use complete Facebook video URLs or share links in videoUrls.
• Choose all_type when you want all transcript representations.
• Choose transcript_timesup when timing is important.
• Choose transcript_text for transcript segments as an array.
• Choose one_line_text when a single text value is more convenient.
• Validate important extracted content before final analysis or publication.
• Recheck failed URLs and rerun when appropriate.

Troubleshooting

Invalid input: Confirm that videoUrls is an array of objects containing url, and that outputFormat matches one of the four documented values.

Empty transcript: Check whether the public video has an English subtitle or caption track that can be extracted.

Partial results: Review each dataset item separately. Different sources in the same batch can have different outcomes.

Missing metadata: title, description, or thumbnail_url can be empty when the corresponding source value is unavailable.

No results: Ensure at least one usable video URL was supplied. An empty videoUrls list causes the Actor to stop without producing results.

Frequently Asked Questions

What does the Facebook Transcript & Subtitle Scraper do? It extracts available English subtitle or caption data from supplied public Facebook video URLs or share links and returns transcript information with basic video metadata.

What input does the Facebook transcript scraper accept? It accepts videoUrls, an array of objects where each object contains a Facebook video URL or share link.

Can I process multiple Facebook videos in one run? Yes. The videoUrls field accepts multiple source objects.

Which transcript formats are available? The Actor supports all_type, transcript_timesup, transcript_text, and one_line_text.

What is included in a timestamped transcript? Each event contains start, end, and text, with timing values expressed in seconds.

Does the Actor support every language? The current logic searches for English subtitle or caption tracks. There is no documented language-selection input for other languages.

What happens if a video has no usable transcript? Transcript fields may be empty, or the source may be skipped if it cannot be extracted successfully.

Can I get video metadata with the transcript? Yes. Successful items include URL, title, description, and thumbnail URL fields when available.

Which format is useful for text analysis? transcript_text provides an array of segments, while one_line_text combines them into a single string.

Is this Facebook transcript scraper suitable for batch research? Yes. Multiple Facebook video URLs or share links can be submitted in a single run.

NLP Keywords

• Facebook transcript scraper
• Facebook subtitle scraper
• Facebook video transcript extraction
• Facebook video subtitles
• Facebook caption extraction
• Facebook video data extraction
• public Facebook video scraper
• Facebook video text extraction
• Facebook transcript data
• timestamped Facebook transcript
• Facebook video speech text
• English Facebook subtitles
• Facebook video metadata
• Facebook video transcript dataset
• Facebook content research
• Facebook video analysis
• structured transcript data
• subtitle text extraction
• video transcript automation
• Apify Facebook scraper

Related Keywords

• scrape Facebook video transcript
• extract subtitles from Facebook videos
• Facebook video transcript extractor
• Facebook caption scraper
• collect Facebook video captions
• Facebook video text scraper
• scrape public Facebook videos
• Facebook subtitle data extraction
• Facebook video research tool
• transcript dataset from Facebook
• Facebook video content scraper
• extract Facebook video text
• Facebook video metadata scraper
• timestamped video transcript
• Facebook video transcript automation
• bulk Facebook transcript scraping
• Facebook video caption extraction
• public video transcript collection
• Apify Facebook video scraper
• Facebook video transcript collection

Final Overview

The Facebook Transcript & Subtitle Scraper provides a focused way to collect available transcript and subtitle information from public Facebook videos through video URLs or share links. It supports multiple inputs, selectable transcript formats, timestamped events, text representations, and basic video metadata.

The workflow is straightforward: provide Facebook video sources, select the format, run the Actor, and review the Apify dataset. Because transcript availability depends on extractable English subtitle or caption data, testing representative URLs before a larger collection is recommended.

Contact me: Alphascraper69@gmail.com