Website Reviews, Comments & Testimonials Scraper
Turn permitted public reviews, testimonials, comments, and forum posts into structured feedback data.
What you get
Turn permitted public reviews, testimonials, comments, and forum posts into structured feedback data.
Run it yourself in your Apify account. Apify platform usage fees may apply separately.
Best for
- Voice-of-customer research
- Competitor research
- Reputation monitoring
Example output fields
- Feedback text
- Rating when public
- Author when public
- Date
- Source URL
Supported inputs
- Public page URLs
- Content selectors when needed
- Maximum results
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.
Website Reviews, Comments & Testimonials Scraper technical notes
Turn permitted public reviews, testimonials, comments, and forum posts into structured feedback data. Use it for voice-of-customer research, competitor research, reputation monitoring. Inputs include public page urls, content selectors when needed, maximum results.
Use Cases
- Voice-of-customer research
- Competitor research
- Reputation monitoring
Data Fields
- Feedback text
- Rating when public
- Author when public
- Date
- Source URL
Inputs
- Public page URLs
- Content selectors when needed
- Maximum results
Workflow
- Public Public Websites 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 Public Websites sources and required fields before running Website Reviews, Comments & Testimonials 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 Website Reviews, Comments & Testimonials 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.
Use Cases
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