Priceline Reviews Scraper Scrape hotel reviews from Priceline.com with ease. Extract ratings, review texts, positive and negative remarks, reviewer details, and more — easily exportable to JSON, CSV, Excel, and HTML formats. ## Features - Scrape reviews from any hotel listed on Priceline.com - Extract key information: review text, positive remarks, negative remarks, score, reviewer location, reviewer type, and entry date - Export collected data to JSON, CSV, Excel, or view directly in Apify dataset UI ## Why use this scraper? Searching for authentic Priceline hotel reviews manually is slow and time‑consuming. With this scraper, you can automatically gather hundreds or thousands of reviews for analysis, market research, or monitoring customer feedback. This tool is ideal for: - Travel industry analysts - Hotel managers tracking guest satisfaction - Researchers studying travel behavior - Marketers monitoring brand reputation ## Input The actor requires the following input: - hotelUrl (string, required) – The Priceline hotel URL from which to scrape reviews. - maxReviews (number, optional) – Maximum number of reviews to scrape. - cutoffDate (date, optional) – Only reviews newer than this date will be scraped. Example input: json { "hotelUrl": "https://www.priceline.com/hotel-deals/en-us/P3000016152/H11286903/yotel-new-york-times-square.ssp", "maxReviews": 100 } ## Output The scraper stores its results in the default Apify dataset. Each item in the dataset represents a single hotel review and has the following fields: - reviewId – Unique identifier of the review - genericText – Main review text - positiveRemark – Highlighted positive feedback - negativeRemark – Highlighted negative feedback - score – Review score (1–10) - reviewerLocation – Reviewer’s location (city, state, or country) - reviewerType – Type of traveler (e.g., Solo Traveler, Family, Couple) - entryDate – Date of the review ### Example output json { "reviewId": "5146832520", "genericText": "Great price for a great location.", "positiveRemark": "The location was great. If you have a higher-floor room the view can be great. Price was good. Bed was comfortable. Temperature control was good. Window opens for fresh air.", "negativeRemark": "During the entirety of our stay(6 days) the resident elevator was out of order. All residents were advised to use service elevator. The service elevator was constantly in use between staff and other guests, leaving possible wait times for 15-20 mins. \nThe room could have been a bit cleaner(dusty surfaces, overused bedding) Bathroom supplies were a bit short on arrival.", "score": 7.0, "reviewerLocation": "ie", "reviewerType": "Traveling as a Couple", "entryDate": "Apr 2025" } ## Tips - Use maxReviews to limit the number of scraped reviews for faster runs. - Use cutoffDate to only collect recent reviews and skip older ones. > Note: Priceline provides review dates in "MMM YYYY" format (e.g., "Apr 2025"). > This means that only the year and month are considered, the day value is ignored. - Export data to Excel or CSV for easy analysis. --- Start collecting real customer feedback from Priceline hotels today with the Priceline Reviews Scraper*!