Booking.com Review Scraper
Pricing
from $1.50 / 1,000 results
Which room type gets the complaints? What do guests really say about your breakfast? Scrape Booking.com reviews at room level — score, liked/disliked texts, stay details, traveler type, management replies — with score-band filters and topic search. Deduplicated, LLM-ready.
Newest reviews to collect per hotel (sorted newest first). ~200 = 8 pages.
Stop paginating once reviews are older than this many months — beyond that a review no longer describes the hotel as it is today.
Booking.com review sort order.
Filter reviews by score band (server-side, same as Booking's own filter — no wasted pages). 'All' = no filter. Multiple bands = one pass per band, merged and deduplicated.
[ "all"]Same as Booking's 'Search guest reviews by topic' bar — server-side semantic search (e.g. 'breakfast', 'pool', 'noise', 'wifi'). Leave empty for no search. Combines with the score filter.
OFF by default — the scraper first tries cheap datacenter IPs. Turn ON only to force the residential proxy from the start (more expensive, rarely needed while auto fallback below is enabled).
Tries datacenter IPs first; if Booking blocks us (WAF / CAPTCHA / HTTP 403-429), the same hotel is automatically retried through Apify's residential proxy. Best cost/reliability balance.
Source markets to route the proxy through. Reviews are geo-independent — this is only for proxy-pool diversity, not per-country cohorts. One country is normal.
[ "FR"]