Booking.com Review Scraper
Scrape Booking.com Hotel Reviews to a Spreadsheet
Extract reviewer names, countries, scores, title, positive/negative review text, and property reply from any Booking.com hotel review page. Export to CSV or Excel for hospitality benchmarking and competitive analysis.
What data gets extracted
DataLens automatically detects and extracts these fields from Booking.com — no selectors, no code, no maintenance.
How it works
- 1
Open a Booking.com property review page in Chrome.
- 2
Launch DataLens and identify the review card fields.
- 3
Navigate through review pages and export the dataset to CSV or Excel.
Frequently asked questions
These are the most common questions teams ask before using DataLens for this workflow.
What Booking.com data can I extract?
DataLens extracts reviewer names, countries, numeric review scores, review titles, positive text, negative text, review dates, and property reply text.
Can I compare multiple hotels on Booking.com?
Yes. Extract reviews from each property separately and merge the CSV exports to compare scores, sentiment themes, and reply rates.
Does it work for all property types?
Yes. DataLens works on any Booking.com property review page — hotels, apartments, hostels, vacation rentals, and other listing types all follow similar review structures.
Can I export to Excel?
Yes. Export Booking.com review data to CSV, Excel (XLSX), or JSON for analysis or reporting tools.
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