Plan your next tutorial
Read viewer questions and identify steps that need a clearer explanation. Use the returned comments as inputs to your next content brief.
YouTube data, ready to useYouTube comments scraper and video feedback extractor
Bring the questions below your video into your next brief.
Review the feedback beneath a launch or tutorial video. 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
Video feedback
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.
Collect recent top-level comments into a table for qualitative research. Keep the original text and link beside the like count so a researcher can inspect the conversation in context.
Review a product launch
Collect feedback beneath a launch video and examine what people mention. Open the discussion when a comment needs more context.
From source to working data
A result you can
actually work with.
Collect the newest top-level comments on a video.
- 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
Inspect the selected response fields
Illustrative values using fields checked against a recorded response. This is a selected-field example, not the full payload.
| id | text | likes | published_at | reply_count | url |
|---|---|---|---|---|---|
| example-comment | Could you show the setup steps in the next video? | 12 | 2026-09-01T11:00:00Z | 2 | https://www.youtube.com/watch?v=example |
{
"id": "example-comment",
"text": "Could you show the setup steps in the next video?",
"likes": 12,
"published_at": "2026-09-01T11:00:00Z",
"reply_count": 2,
"url": "https://www.youtube.com/watch?v=example"
}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
Comment threads per run required
Up to 100. The source may return fewer results.
Choose a whole number from 1 to 100. Default: 25.
What does this template collect?
The selected public response fields shown in the example above. Records can contain additional fields or missing values depending on the source.
This template fetches top-level threads up to the selected limit. It does not fetch every reply or classify sentiment. Comment availability depends on the video’s settings.
Each result is a top-level thread. This does not retrieve every reply.
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.
Review the feedback beneath a launch or tutorial video. Your template is ready in the dashboard.
Use this scraperChoose your inputs. Review the quote. Run.
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Could you show the setup in more detail?
This answered the question I was stuck on.