Research without constant replaying
Read an available transcript while preparing your notes. Check important quotations and context against the original video before using them.
YouTube data, ready to useYouTube transcript extractor for video text and captions
Take an available video transcript into your reading workflow.
Retrieve an available YouTube transcript for reading and text analysis. Run it from your dashboard, download the result, or keep checking with a monitor.
No code required CSV & JSON exports Cost shown before running
MONOCRAWL / RESULTSExample
YouTube
Transcript extract
Introduction
Today we will walk through an example workflow.
Walkthrough
Start by choosing the information you need.
Closing
Review the result before using it in your project.
Your data. Ready for the next step.
Run once Work through a list Monitor on a schedule Use through your agent
Built for useful work
Make the data part
of your next decision.
Locate passages in a tutorial, interview or presentation before reviewing the recording. Keep the source link with your notes and check important wording against the video because captions can contain recognition errors.
Prepare text for your own analysis
Export the available transcript for a downstream text workflow. Any summarising or translation happens in the tools you choose after collection.
From source to working data
A result you can
actually work with.
Keep snapshots of a video’s available transcript.
- Open your saved run in the dashboard
- Download CSV for a spreadsheet
- Export JSON for your own workflow
A simple path to your results
YouTubeYour selected sourceMonocrawlCollect · save · export
SpreadsheetCSV download
Your workflowJSON export
How it works
Choose the source.
Leave with the data.
Your setup stays in Monocrawl. Start with one run and review the result before doing more.
01
Choose what to collect
Open the template and complete YouTube video. The form shows the supported settings.
02
Review the cost and run
Check the credit quote, then approve the request. A single run gives you a result to inspect before using a larger list.
03
Put the result to work
Return to the saved run, download your data, and bring it into the spreadsheet or workflow you already use.
One template. Three ways to use it.
Start small. Keep going when it’s useful.
Get data once
Run a single request for today’s research, a quick comparison or a one-off export.
Open this scraperKeep checking
Create a monitor with a schedule and monthly credit cap. Choose email, Slack, Discord or webhook receipts.
Create a monitorWork through a list
Have several inputs? Run a batch and review its combined quote before approving the work.
Run a listScheduled checks use the same collection scope. Change detection is available where the endpoint supports it.
Know the cost before you start
A clear quote.
Data you can come back to.
Review the cost in your dashboard before running. For monitors, you also choose how often to check and how much to spend each month.
Email Slack Discord Webhook
Optional monitor receipts. Connect and select the destinations you want during setup.
A few useful details
Before your first run.
Check the inputs and collection scope, then try a request with the settings that match your task.
Read the endpoint referenceWhat do I need to enter?
YouTube video required
Example: https://www.youtube.com/watch?v=9bZkp7q19f0
What does this template collect?
The response contains the available transcript and its metadata. It does not summarize, translate or create a new transcription for a video without a transcript.
An available transcript is required. Repeat checks may return unchanged text, so a one-off scrape is often more useful than a frequent monitor.
Requires an available transcript. Each check fetches it again; repeated checks may return the same text.
Can I run this as a monitor?
Yes. Choose Create a monitor to repeat the same request on a schedule. Review the creation fee, estimated check cost, delivery options and monthly credit cap before approving. Scheduling does not add automatic pagination or AI analysis.
Where are my results saved?
Dashboard scraper results are retained for 30 days within your 50 MB / 1,000-run allowance. Each saved result has a 2 MB compressed limit. Check its storage status and download data you need to keep longer.
Can I use this through an AI agent?
Yes. Connect your agent to Monocrawl through Integrations. Ask it to use the corresponding scraper, explain the settings and show the cost before running.
Your next step
Put YouTube data
to work.
Retrieve an available YouTube transcript for reading and text analysis. Your template is ready in the dashboard.
Use this scraperChoose your inputs. Review the quote. Run.
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