TikTok Comments Scraper
Collect public TikTok video comments and reply metadata for social listening, moderation review, and audience research.
What you get
Collect public TikTok video comments and reply metadata for social listening, moderation review, and audience research.
Run it yourself in your Apify account. Apify platform usage fees may apply separately.
Best for
- Comment analysis
- Creator monitoring
- Social listening
Example output fields
- Comment text
- Comment URL or ID
- Video URL
- Author handle when public
- Engagement counts when public
- Reply metadata when available
Supported inputs
- TikTok video URLs
- Max comments
- Reply depth or reply options when supported
Want us to run it for you?
We can configure inputs, validate output, schedule runs, clean records, monitor failures, and deliver the results to an agreed destination.
TikTok Comments Scraper technical notes
TikTok Comments Scraper can be used as part of a reviewed Apify workflow to collect public TikTok 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
- Creator monitoring
- Social listening
Data Fields
- Comment text
- Comment URL or ID
- Video URL
- Author handle when public
- Engagement counts when public
- Reply metadata when available
Inputs
- TikTok video URLs
- Max comments
- Reply depth or reply options when supported
Workflow
- Public TikTok 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
- Confirm the target TikTok sources and required fields before running TikTok Comments Scraper.
- Set max results, filters, dates, and frequency based on the intended business workflow.
- Run a small test before scheduling or delivering a full dataset.
Output Handling
- Keep source URLs and collection timestamps with every record.
- Normalize fields before loading the dataset into spreadsheets, databases, or business tools.
- Treat public counts and availability fields as snapshots.
Quality Checks
- Deduplicate records using the most stable source identifier available.
- Spot-check sample records against the source platform.
- Flag missing required fields before final delivery.
FAQ
Can The Scrape Lab configure TikTok Comments Scraper 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.