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.
Each example shows how a live website can become a reviewable dataset inside the DataLens AI scraping workbench.
What data gets extracted
DataLens automatically detects and extracts these fields from Booking.com — no selectors, no code, no maintenance.
Decision-ready dataset
What teams can decide with Booking.com data
Use Booking.com as a live source for an AI scraping workbench: collect the fields, clean the noisy rows, and turn the result into market, lead, content, or operations evidence.
Spot patterns
Compare listings, reviews, creators, products, or posts across the fields that matter.
Prioritize action
Move from raw rows to ranked opportunities, risks, accounts, or content ideas.
Share proof
Keep the exported file and source context ready for teammates, clients, or follow-up analysis.
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
Use these questions to decide how a live website becomes an AI scraping 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.
Related workbench workflows
Compare adjacent collection paths by source, export format, and team job.
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