YouTube Comment Scraper 2.0
Collect public YouTube comments and reply metadata for audience research and content monitoring.
What it does
Collect public YouTube comments and reply metadata for audience research and content monitoring.
Best for
- Comment analysis
- Audience research
- Brand or creator monitoring
Fields
- Comment text
- Comment date
- Author handle when public
- Like count when public
- Video URL
- Reply metadata when available
Inputs
- Video URLs
- Max comments
- Sort or date options when supported
YouTube Comment Scraper 2.0 technical notes
YouTube Comment Scraper 2.0 can be used as part of a reviewed Apify workflow to collect public YouTube data, clean the dataset, and deliver it to business tools. The exact setup depends on the target, available data, and required output structure.
Use Cases
- Comment analysis
- Audience research
- Brand or creator monitoring
Data Fields
- Comment text
- Comment date
- Author handle when public
- Like count when public
- Video URL
- Reply metadata when available
Inputs
- Video URLs
- Max comments
- Sort or date options when supported
Workflow
- Public YouTube source
- Actor run
- Clean dataset
- Delivery destination
- Business report or automation
Delivery
- CSV
- Excel
- Google Sheets
- API
- Database
- Airtable
- Notion
- Slack
- CRM
Limitations
- Availability depends on the target website or platform structure.
- Some data may not be publicly available.
- Some requests may not be suitable.
- The workflow is reviewed before setup.
Setup Notes
- Provide specific video URLs for the most reliable comment collection.
- Set max comments per video based on the analysis goal and expected comment volume.
- Choose sorting or date options carefully when comparing comment datasets across runs.
Output Handling
- Keep video URL, comment text, author handle, date, and reply metadata together for context.
- Comment text may need language detection, spam filtering, or sentiment tagging after extraction.
- Like counts and reply counts should be treated as snapshots.
Quality Checks
- Check that disabled, limited, or unavailable comments are flagged during review.
- Deduplicate comments when videos are included in multiple input lists.
- Sample high-volume videos to confirm the requested sort order matches the research question.
FAQ
Can The Scrape Lab configure YouTube Comment Scraper 2.0 for me?
Yes. We review the target, configure inputs, run tests, clean the output, and connect delivery where needed.
Can this run on a schedule?
In many cases, yes. Recurring schedules are reviewed based on the target, frequency, and reliability requirements.
Can the output go to Google Sheets or a CRM?
Yes. Delivery can be set up to Google Sheets, CSV, Airtable, databases, APIs, Slack, CRMs, or other tools depending on your workflow.
Is every request suitable?
No. We focus on public data and review each request before setup. Some targets or data requests may not be appropriate or technically reliable.