Booking Reviews Scraper

Booking Reviews Scraper

by easyapi

Extract detailed guest reviews, ratings, and booking information from any Booking.com hotel page. Get valuable insights including review scores, guest...

18,297 runs
47 users
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Opens on Apify.com

About Booking Reviews Scraper

Extract detailed guest reviews, ratings, and booking information from any Booking.com hotel page. Get valuable insights including review scores, guest details, room types, and stay duration.

What does this actor do?

Booking Reviews Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Booking.com Hotel Reviews Scraper 🏨 ## 🎯 Features - Scrapes detailed guest reviews from any Booking.com hotel page - Extracts comprehensive review data including scores, dates, and guest information - Supports multiple languages - Handles pagination automatically - Rate-limit friendly - Proxy support (optional) ## πŸ’ͺ Use Cases - Market research and competitor analysis - Hotel performance monitoring - Customer sentiment analysis - Travel industry insights - Data-driven decision making for hospitality businesses ## πŸ“Š Output Dataset The scraper extracts the following data for each review: - Overall hotel score and detailed category ratings - Review date, title, and content (positive/negative feedback) - Guest information (name, country, type) - Booking details (room type, check-in/out dates, length of stay) - Photos attached to reviews (if any) - Hotel statistics (total reviews, category scores with bounds) ## πŸ”§ Input Parameters | Field | Type | Description | |-------|------|-------------| | hotelUrl | String | URL of the Booking.com hotel page to scrape (required) | | maxItems | Integer | Maximum number of reviews to scrape | ## πŸ’‘ Usage Tips 1. Use the maxItems parameter to control the number of reviews you want to collect 2. The scraper automatically handles different languages 3. Results are provided in real-time as they are scraped ### Input Example A full explanation of an input example in JSON. { "hotelUrl": "https://www.booking.com/hotel/my/alamanda-villas-langkawi.html?aid=304142&label=gen173nr-1FCAEoggI46AdIM1gEaDGIAQGYATG4AQfIAQzYAQHoAQH4AQKIAgGoAgO4ApWtxbkGwAIB0gIkYWFkZjkyMTktNDFlOC00MzcyLTg2MzAtNGUzZDY0MmMzYzY02AIF4AIB&sid=a8da78db78dcc31a870c8d246371a1b8&dest_id=3288;dest_type=region;dist=0;group_adults=2;group_children=0;hapos=2;hpos=2;nflt=class%3D4;no_rooms=1;req_adults=2;req_children=0;room1=A%2CA;sb_price_type=total;sr_order=popularity;srepoch=1731295991;srpvid=921f143cab220aca;type=total;ucfs=1&", "maxItems": 20 } ### Output sample The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. [ { "hotelStats": { "totalReviews": 263, "scores": { "hotel_staff": { "score": 9.5, "translation": "Personeel", "bounds": { "lower": 8.10095024108887, "higher": 9.44069957733154 } }, "hotel_services": { "score": 8.86538410186768, "translation": "Faciliteiten", "bounds": { "lower": 7.24942493438721, "higher": 8.97834968566895 } }, "hotel_clean": { "score": 8.875, "translation": "HygiΓ«ne", "bounds": { "lower": 7.4689245223999, "higher": 9.13939952850342 } }, "hotel_comfort": { "score": 8.85576915740967, "translation": "Comfort", "bounds": { "lower": 7.472825050354, "higher": 9.12994956970215 } }, "hotel_value": { "score": 8.75478935241699, "translation": "Prijs-kwaliteitverhouding", "bounds": { "lower": 7.68742513656616, "higher": 9.16812515258789 } }, "hotel_location": { "score": 8.68725872039795, "translation": "Locatie", "bounds": { "lower": 7.70634984970093, "higher": 9.08532524108887 } }, "hotel_free_wifi": { "score": 8.75, "translation": "Gratis WiFi", "bounds": { "lower": 7.13922500610352, "higher": 8.88077449798584 } } } }, "score": 10, "reviewDate": 1661058490, "title": "Geweldige, rustige locatie", "positiveContent": "Schitterende, rustige locatie, tegen het bos aan waar je als je geluk hebt de aapjes tussen de bomen ziet springen. Zeer behulpzame host.", "negativeContent": "Geen ontbijt (al weet je dat vantevoren) of gelegenheid om hapje/drankje te bestellen.", "language": "nl", "guest": { "name": "Jeroen", "country": "Nederland", "countryCode": "nl", "type": "Gezin" }, "booking": { "roomType": "Villa met 1 Slaapkamer", "roomId": 621705603, "checkIn": "2022-08-19", "checkOut": "2022-08-21", "nights": 2, "customerType": "FAMILIES" }, "photos": [] }, ... ]

Categories

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

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Actor Information

Developer
easyapi
Pricing
Paid
Total Runs
18,297
Active Users
47
Apify Platform

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