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Build a knowledge-base corpus from public Loom walkthroughs

Extract transcriptText and transcriptSegments from public Loom walkthroughs for a grounded knowledge base or RAG corpus.

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Loom Transcript Scraper - Captions to Text
Loom Transcript Scraper - Captions to Textkhadinakbar/loom-transcript-scraper
Video title
Transcript text
Duration
Caption language
+3 fields
Text
Number
Boolean
List
Object

Input

Public Loom video URLs(required):https://www.loom.com/share/002508e86fde4232bb8de474eb5c65c4
Include video metadata:true
Include VTT and SRT:false
Maximum videos:10

Output fields

Video title
Transcript text
Duration
Caption language
Extraction status
Source URL
Scraped at

How it works

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The Loom Transcript Scraper - Captions to Text Actor is ready to run with the inputs already set for "Build a knowledge-base corpus from public Loom walkthroughs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a knowledge-base corpus from public Loom walkthroughs" task

The Loom Transcript Scraper - Captions to Text Actor will start running based on the input automatically. You can also change all the input fields, like public loom video urls, include video metadata, and more, to match your specific use case.

Receive the "Build a knowledge-base corpus from public Loom walkthroughs" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as video title, transcript text, duration, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a knowledge-base corpus from public Loom walkthroughs" task via API.

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