Hotels.com Review Scraper 🏨

Hotels.com Review Scraper 🏨

by easyapi

Scrape detailed hotel reviews from Hotels.com, including ratings, review text, management responses, and reviewer information. Perfect for hotel marke...

324 runs
25 users
Try This Actor

Opens on Apify.com

About Hotels.com Review Scraper 🏨

Scrape detailed hotel reviews from Hotels.com, including ratings, review text, management responses, and reviewer information. Perfect for hotel market research and customer sentiment analysis.

What does this actor do?

Hotels.com Review 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

Hotels.com Review Scraper 🏨 Powerful scraper for extracting detailed hotel reviews from Hotels.com. Get comprehensive review data including ratings, guest comments, management responses, and more. ## 🎯 Features - Extract detailed review information from any Hotels.com property listing - Collect verified guest reviews with ratings and detailed feedback - Capture management responses to guest reviews - Get reviewer details and trip type information - Support for proxy configuration to avoid rate limiting - Customizable number of reviews to scrape ## 📊 Output Data Each review record includes: - Product URL - Review ID - Rating score - Review text content - Review date - Reviewer name - Trip type - Verification status - Management response (if available) - Response text - Respondent name - Response date - Timestamp of when the data was scraped ## 💡 Use Cases - Hotel market research and competitive analysis - Customer sentiment analysis - Service quality monitoring - Response rate and quality tracking - Guest satisfaction tracking - Review management system integration ## 🔧 Input Parameters - productUrls: Array of Hotels.com property URLs to scrape - maxItems: Maximum number of reviews to collect (optional, default: 30) - proxyConfiguration: Proxy settings (optional, recommended for large-scale scraping) ### Input Example A full explanation of an input example in JSON. json { "productUrls": [ "https://www.hotels.com/ho1949303712/las-vegas-hilton-at-resorts-world-las-vegas-united-states-of-america/?chkin=2025-02-22&chkout=2025-02-23&x_pwa=1&rfrr=HSR&pwa_ts=1738983958423&referrerUrl=aHR0cHM6Ly93d3cuaG90ZWxzLmNvbS9Ib3RlbC1TZWFyY2g%3D&useRewards=false&rm1=a2&regionId=2008&destination=Las+Vegas%2C+Nevada%2C+United+States+of+America&destType=MARKET&neighborhoodId=800045&latLong=36.17006%2C-115.141376&trackingData=AAAAAQAAAAEAAAAQAL6jcBDUo_pQmSJUNAR2LOoOUUOkw2sPXafs1a54OXlCSstgsykD5J1i24AyNx81ETYEz5Yeteegv2MB0dEUeGAQ1RqLmvc0aFbFnAk5uhd7G3bJKBnYuC8RCoDxadmLFFY_mQ0bdbtc7NOTb_HPv5ku0NIZtGmdDQcxJw-3wgtUaTUrfpme_nreaD8A8elodTcBQX4O0zFLC8ajr4lLjEAGhMNCTY_hXkc8GLzlY0hC8sPNfkZ0Nz4Fgzn43lIboAhBRwKngpQG0UaM4UcQfqsy2uVHVdpab2CEFpIYYuVdoYYdJ6Mnfi7V_6Pl63MR3VD8AtduQaAy6XxWzXS0CRG7ltN_CPSAa7aD5d9t_cCo5BcxYIv_CkLhYA7InbB_bxMANXEfjOc8d8AI42e8jvOQq0MBBcb6oAvCiqsQAXvkwlRriNY6lo_fJTpfUWgK4GyynYyGKemLFzYnw7c7qaYtB5oz9e_hbjUB7qHMPYLb_9x7lTUvXDJsjALuOZTD-x5qgPQqp2GX_vSBuRdtUo7_BOV2wNeHEMOq_H9AhfiWohraKludoMKT3gOpFbHslhxxs_DqHF59XhuYt6wRMmC25_ZGtD-7C1t8HH35cjsvxAcSPJeEDqD-M6FqG-ZJuNxtD1k-U3dvIF5FMz6qOy5aODH4bYd_Xo0BSyqPRO7fieS1rAuP5oXskOfuJEiSFR2DJrlF41vsQcSX7xfTyxL9VtEu81G0KVR8e_3mi_IeUtrb47c83LjkZU1m2Svwc9bAeHojY2R0JgQhnWUa3tbcvsk4FFDSAtKVXnYoHRBWDqe7hizaZVN6o1-ZawlmJTZtQatUdp6UZdquIVXvkIPVT_VSwhHgNrz-BZUu4WOXQtNLZLNlpDd4HvQeIsPEUNQ0plqrL_lRi3ZJuWmJ1f5QXgBCS_zEL4uKz-_hu3ynbnu9UzbHWxvgCFA4XaXOjgcszKxFdKdG10eX6hwavREdBs83_cMvk6Zi0t0qkasrfQFT6TwnUR5vP8C6LPXKuDMP69JScBtxRZ-riZ-GSTRUv7Z6v2KV_Sl9ivdgxNdP_eYYHiCrHOIFLAKvHDy-IFkKigTZTsu91H_D4QERw4w6sBISAsADahnDCRIQVz3A9NGfA5TXXNxLa6zFFh3kM8EdWbZ_Bv37REc29HRwvywU-CM3n7LzSR2cCuKxsu7O1UbBCYfEGbFF4OPDiFfdlQ2lSOJ9-Snrq2jzLebodyGPxjo4ZEDrjSH3v7VDjqwMWKisQp617DFkU7UBsIBRR-P7hDC9g5Hnfw_Ek4E3rp035Ak3QxXXdgVwtT-KKotQzPJtt6HS3-_H5o5DyT7bYHwhS7NnRXJTWSeusL4eH1-raePYoHGOdBxo8x1R27g%3D&rank=1&testVersionOverride=Buttercup%2C39483.0.0%2C50028.0.0%2C50813.0.0%2C51642.0.0%2C51690.0.0%2C52131.0.0%2C54709.194717.1%2C59134.207501.0%2C50988.158353.0%2C54072.210754.1%2C57292.207418.1&slots=&position=1&beaconIssued=&sort=RECOMMENDED&top_dp=199&top_cur=USD&userIntent=&selectedRoomType=226554339&selectedRatePlan=383740751&expediaPropertyId=60884491&searchId=57ef6b5c-dc3c-4b55-9927-b193b6aae407" , "maxItems": 30 } ### 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. json [ { "productUrl": "https://www.hotels.com/ho1949303712/las-vegas-hilton-at-resorts-world-las-vegas-united-states-of-america/?chkin=2025-02-22&chkout=2025-02-23&x_pwa=1&rfrr=HSR&pwa_ts=1738983958423&referrerUrl=aHR0cHM6Ly93d3cuaG90ZWxzLmNvbS9Ib3RlbC1TZWFyY2g%3D&useRewards=false&rm1=a2&regionId=2008&destination=Las+Vegas%2C+Nevada%2C+United+States+of+America&destType=MARKET&neighborhoodId=800045&latLong=36.17006%2C-115.141376&trackingData=AAAAAQAAAAEAAAAQAL6jcBDUo_pQmSJUNAR2LOoOUUOkw2sPXafs1a54OXlCSstgsykD5J1i24AyNx81ETYEz5Yeteegv2MB0dEUeGAQ1RqLmvc0aFbFnAk5uhd7G3bJKBnYuC8RCoDxadmLFFY_mQ0bdbtc7NOTb_HPv5ku0NIZtGmdDQcxJw-3wgtUaTUrfpme_nreaD8A8elodTcBQX4O0zFLC8ajr4lLjEAGhMNCTY_hXkc8GLzlY0hC8sPNfkZ0Nz4Fgzn43lIboAhBRwKngpQG0UaM4UcQfqsy2uVHVdpab2CEFpIYYuVdoYYdJ6Mnfi7V_6Pl63MR3VD8AtduQaAy6XxWzXS0CRG7ltN_CPSAa7aD5d9t_cCo5BcxYIv_CkLhYA7InbB_bxMANXEfjOc8d8AI42e8jvOQq0MBBcb6oAvCiqsQAXvkwlRriNY6lo_fJTpfUWgK4GyynYyGKemLFzYnw7c7qaYtB5oz9e_hbjUB7qHMPYLb_9x7lTUvXDJsjALuOZTD-x5qgPQqp2GX_vSBuRdtUo7_BOV2wNeHEMOq_H9AhfiWohraKludoMKT3gOpFbHslhxxs_DqHF59XhuYt6wRMmC25_ZGtD-7C1t8HH35cjsvxAcSPJeEDqD-M6FqG-ZJuNxtD1k-U3dvIF5FMz6qOy5aODH4bYd_Xo0BSyqPRO7fieS1rAuP5oXskOfuJEiSFR2DJrlF41vsQcSX7xfTyxL9VtEu81G0KVR8e_3mi_IeUtrb47c83LjkZU1m2Svwc9bAeHojY2R0JgQhnWUa3tbcvsk4FFDSAtKVXnYoHRBWDqe7hizaZVN6o1-ZawlmJTZtQatUdp6UZdquIVXvkIPVT_VSwhHgNrz-BZUu4WOXQtNLZLNlpDd4HvQeIsPEUNQ0plqrL_lRi3ZJuWmJ1f5QXgBCS_zEL4uKz-_hu3ynbnu9UzbHWxvgCFA4XaXOjgcszKxFdKdG10eX6hwavREdBs83_cMvk6Zi0t0qkasrfQFT6TwnUR5vP8C6LPXKuDMP69JScBtxRZ-riZ-GSTRUv7Z6v2KV_Sl9ivdgxNdP_eYYHiCrHOIFLAKvHDy-IFkKigTZTsu91H_D4QERw4w6sBISAsADahnDCRIQVz3A9NGfA5TXXNxLa6zFFh3kM8EdWbZ_Bv37REc29HRwvywU-CM3n7LzSR2cCuKxsu7O1UbBCYfEGbFF4OPDiFfdlQ2lSOJ9-Snrq2jzLebodyGPxjo4ZEDrjSH3v7VDjqwMWKisQp617DFkU7UBsIBRR-P7hDC9g5Hnfw_Ek4E3rp035Ak3QxXXdgVwtT-KKotQzPJtt6HS3-_H5o5DyT7bYHwhS7NnRXJTWSeusL4eH1-raePYoHGOdBxo8x1R27g%3D&rank=1&testVersionOverride=Buttercup%2C39483.0.0%2C50028.0.0%2C50813.0.0%2C51642.0.0%2C51690.0.0%2C52131.0.0%2C54709.194717.1%2C59134.207501.0%2C50988.158353.0%2C54072.210754.1%2C57292.207418.1&slots=&position=1&beaconIssued=&sort=RECOMMENDED&top_dp=199&top_cur=USD&userIntent=&selectedRoomType=226554339&selectedRatePlan=383740751&expediaPropertyId=60884491&searchId=57ef6b5c-dc3c-4b55-9927-b193b6aae407", "reviewId": "679c2fc40427143f6a1552e0", "rating": "10/10 Exceptional", "reviewText": "Fantastic place to stay", "reviewDate": "Jan 31, 2025", "reviewer": "Travis", "tripType": "Travis, 2-night trip", "isVerified": true, "managementResponse": { "responseText": "Greetings, thank you so much for taking the time and leaving us a positive review. We would be honored to welcome you back to our Resorts & Casino! Thank you for staying with us!", "respondent": "Response from Henry - Guest Relations on Jan 31, 2025", "responseDate": "Jan 31, 2025" }, "scrapedAt": "2025-02-08T03:32:36.199Z" }, ... ] ## Related Actors - 🏨 Hotels.com Scraper - Extract detailed hotel listings including prices, ratings, amenities and images - 🏨 Hotels.com Image Scraper - Scrape high-quality hotel photos with metadata from Hotels.com - 🏨 Booking Search Scraper - Extract comprehensive hotel data from Booking.com search results - 🏨 Booking Reviews Scraper - Collect detailed guest reviews and ratings from Booking.com hotels - 🏨 Hostelworld Scraper - Get detailed hostel information including prices, facilities and room types - 🏨 Hostelworld Reviews Scraper - Extract traveler reviews and ratings for hostels worldwide - 🏨 TripAdvisor Hotels Scraper - Scrape hotel listings with detailed information and pricing - 🏨 TripAdvisor Reviews Scraper - Extract detailed hotel reviews and user feedback from TripAdvisor - 🛍️ Flipkart Review Scraper - Collect product reviews with ratings and user information - 🛍️ Myntra Reviews Scraper - Extract detailed product reviews and ratings data - 🍽️ Grubhub Restaurant Reviews Scraper - Collect comprehensive customer reviews for restaurants - 🍽️ Zomato Restaurant Reviews Scraper - Extract detailed restaurant reviews and ratings - 📚 Goodreads Review Scraper - Collect book reviews with ratings and user information - 🎬 IMDB Reviews Scraper - Extract detailed movie reviews and ratings - 🛍️ Etsy Reviews Scraper - Scrape product reviews with ratings and reviewer information

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

Ready to Get Started?

Try Hotels.com Review Scraper 🏨 now on Apify. Free tier available with no credit card required.

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Actor Information

Developer
easyapi
Pricing
Paid
Total Runs
324
Active Users
25
Apify Platform

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