Pricing

from $1.00 / 1,000 results

Booking Reviews Scraper — by hotel URL or destination

Scrape Booking.com guest reviews by hotel URL or destination. Each record carries the full review text and star rating. Incremental mode returns only new and changed reviews since the last run, and owner replies plus guest photos are included when present.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

Black Falcon Data

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Travel

Lead generation

Automation

This Actor‘s pricing details are outlined in the table below. The unit prices you pay depend on your Apify subscription plan, with higher tiers offering better rates. Visit our pricing page to compare plans and see how much you can save.

Pricing	Free No discount	Starter Bronze discount	Scale Silver discount	Business Gold discount

Result	$1.00 / 1,000	$1.00 / 1,000	$1.00 / 1,000	$1.00 / 1,000
Actor start Infrequent	$0.005	$0.005	$0.005	$0.005
Additional costs
Platform usage	Free	Free	Free	Free

This Actor's pricing details are outlined in the table below. Visit our pricing page to compare plans and see how much you can save.

Pricing

Result Single result in the default dataset.	$1.00 / 1,000
Actor startInfrequent Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).	$0.005
Additional costs
Platform usageIncluded Platform usage costs are tied to the Actor's performance in terms of the underlying platform resources it consumes. Learn more	Free

Booking.com Reviews Scraper

khadinakbar/booking-reviews-scraper

Extract Booking.com guest reviews at scale — 24 structured fields per review (positive/negative text, score, traveler type, room, reviewer profile. MCP/API-ready.

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Scrape Booking.com hotels and accommodations by destination or URL. Extract prices, ratings, reviews, photos, room types, availability, and Booking.com URLs for travel data, market research, or accommodation partner lead lists.

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3.0

(1)

Booking.com Reviews Scraper

automation-lab/booking-reviews-scraper

Scrape guest reviews from Booking.com hotels. Extract reviewer name, country, score, positive/negative comments, stay date, room type, and traveller type. Supports pagination and language filtering. Export to JSON, CSV, Excel. Pay per result.

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Booking.com Scraper — Hotels, Prices, Reviews & Host Data

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Extract Booking.com hotel listings, live room prices & availability, guest reviews and ratings, full property details, and professional host contacts. Scrape by destination or URL with automatic pagination — no code, no login. Export to JSON, CSV, Excel or via API.

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Scrapes reviews from Booking.com hotel pages

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Booking.com Reviews Scraper - Guest Reviews API

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Scrape Booking.com guest reviews for any hotel — reviewer, country, score, title, positive/negative text, room type, stay dates, and photos. Fast, HTTP-only, JSON/CSV.

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Booking.com Reviews Scraper

shahidirfan/booking-reviews-scraper

Extract Booking.com reviews at scale with precision. Automate review collection, sentiment analysis, and competitive intelligence. Perfect for hospitality businesses, OTAs, and market researchers. Supports bulk scraping with filtering by rating, date, and language.

Shahid Irfan

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(4)

Booking Reviews Scraper

api-empire/booking-reviews-scraper

Booking Reviews Scraper automatically extracts guest reviews, ratings, and metadata from any Booking hotel page. Ideal for market studies, quality benchmarking, and integrating automated review insights into your hospitality workflows.

API Empire

Booking Reviews Scraper

simpleapi/booking-reviews-scraper

This scraper retrieves Booking hotel reviews with accuracy, including comments, scores, stay dates, and reviewer info. Designed for scalable data collection to support research teams, AI training sets, and competitive analysis projects.

SimpleAPI

Booking Reviews Scraper

scraper-engine/booking-reviews-scraper

Booking Reviews Scraper extracts guest reviews from any Booking hotel page, including ratings, dates, languages, and review text. Ideal for sentiment analysis, market research, competitor insights, and building structured hospitality datasets.