Hotels.com Reviews Scraper

What does Hotels.com Reviews Scraper do?

Hotels.com Reviews Scraper collects publicly available hotel reviews from Hotels.com and saves them as a structured dataset. Add one or more hotel URLs, choose a review order, and set how many reviews you want. The Actor returns review text, ratings, reviewer names, review dates, themes, management responses, photos, and direct hotel links.

Use it for hotel reputation research, competitor review tracking, destination analysis, guest sentiment datasets, and AI or RAG workflows that need real review text.

Why use Hotels.com Reviews Scraper?

• Structured review datasets - Get clean fields instead of copying review pages by hand.
• Multiple hotels in one run - Add several hotel URLs and collect them together.
• Flexible review order - Sort by newest, highest rated, lowest rated, or relevance.
• Useful context - Capture management responses, traveler types, themes, and photos when Hotels.com publishes them.
• Dataset exports - Download JSON, CSV, Excel, or XML, or connect the dataset to other tools.
• Scheduled monitoring - Refresh hotel review data daily, weekly, or monthly with Apify schedules.

What data can you extract from Hotels.com?

Field	Description
review_id	Hotels.com review identifier
hotel_id	Hotel identifier from the supplied hotel URL when available
property_id	Hotels.com property identifier used for the review request
hotel_name	Hotel name returned by Hotels.com
hotel_url	Hotel URL supplied in the input
review_url	Hotel URL with a review anchor
title	Review title when the reviewer added one
text	Full review text
rating	Numeric rating parsed from the review score
rating_text	Rating as displayed by Hotels.com
author	Reviewer display name
date	Review submission date as displayed by Hotels.com
locale	Review language locale
traveler_types	Traveler types when available
themes	Review themes such as cleanliness or location
management_response	Hotel management response text
management_response_date	Management response date label
photos	Reviewer photo URLs and descriptions
sort_by	Review order used for the run
scraped_at	ISO timestamp for when the review was collected
source	Source website, always hotels.com

How to use Hotels.com Reviews Scraper

1. Open the Actor on Apify Store.
2. Paste one or more Hotels.com hotel URLs into Hotel URLs.
3. Choose a review order.
4. Set the maximum reviews and maximum pages per hotel.
5. Run the Actor.
6. Open the dataset to preview, filter, or download the reviews.

You can use full hotel URLs, hotel URLs without a slug, compact hotel IDs, or global property URLs. Examples:

• https://www.hotels.com/ho218450/hyatt-regency-london-blackfriars-london-united-kingdom/
• https://www.hotels.com/ho218450/
• ho218450
• 218450
• https://www.hotels.com/h1038731.Hotel-Information

Tracking parameters, HTML entities such as &, escaped slashes, and extra whitespace are cleaned automatically.

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	h1038731.Hotel-Information	Hotel URLs or IDs to collect reviews from
sortBy	String	No	NEWEST_TO_OLDEST_BY_LANGUAGE	Review order: newest by language, highest rated, lowest rated, newest, or most relevant
results_wanted	Integer	No	100	Maximum reviews to save across all hotels. Use 0 for all available reviews
max_pages	Integer	No	20	Maximum review pages requested per hotel
proxyConfiguration	Object	No	Residential Apify Proxy	Apify Proxy or custom proxy settings. Residential proxies are enabled by default because Hotels.com limits shared datacenter IPs

Output Data

Field	Type	Description
review_id	String	Review identifier
hotel_id	String	Hotel ID from the input URL
property_id	String	Property ID used by Hotels.com
hotel_name	String	Hotel name
hotel_url	String	Hotel URL from the input
review_url	String	Hotel URL with a review anchor
title	String	Review title
text	String	Review body
rating	Number	Numeric rating
rating_text	String	Rating label
author	String	Reviewer name
date	String	Review date
locale	String	Review locale
traveler_types	Array	Traveler types
themes	Array	Review themes
management_response	String	Management response
management_response_date	String	Management response date
photos	Array	Reviewer photos
sort_by	String	Review order used
scraped_at	String	Collection timestamp
source	String	Source website

Fields that are not published for a review are removed from the record instead of being saved as null.

Usage Examples

Collect recent reviews from one hotel

Use one hotel URL and keep the default newest-first order.

{
    "startUrls": ["https://www.hotels.com/ho218450/hyatt-regency-london-blackfriars-london-united-kingdom/"],
    "sortBy": "NEWEST_TO_OLDEST_BY_LANGUAGE",
    "results_wanted": 100,
    "max_pages": 5
}

Collect highly rated reviews from several hotels

Add multiple hotel URLs and sort by rating.

{
    "startUrls": [
        "https://www.hotels.com/ho218450/hyatt-regency-london-blackfriars-london-united-kingdom/",
        "https://www.hotels.com/ho113320/the-royal-horseguards-london-united-kingdom/"
    ],
    "sortBy": "HIGHEST_TO_LOWEST_RATED",
    "results_wanted": 250,
    "max_pages": 10
}

Collect all available reviews with a residential proxy

Set the review limit to 0 and keep the default residential proxy for a larger run. The example sets it explicitly.

{
    "startUrls": ["https://www.hotels.com/ho218450/hyatt-regency-london-blackfriars-london-united-kingdom/"],
    "sortBy": "NEWEST_TO_OLDEST",
    "results_wanted": 0,
    "max_pages": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Sample Output

{
    "review_id": "6a4a6bd40e56584730850ea9",
    "hotel_id": "218450",
    "property_id": "1038731",
    "hotel_name": "Hyatt Regency London Blackfriars",
    "hotel_url": "https://www.hotels.com/ho218450/hyatt-regency-london-blackfriars-london-united-kingdom/",
    "review_url": "https://www.hotels.com/ho218450/hyatt-regency-london-blackfriars-london-united-kingdom/#review-6a4a6bd40e56584730850ea9",
    "text": "Great location, clean room",
    "rating": 10,
    "rating_text": "10/10 Exceptional",
    "author": "Chiawen",
    "date": "Jul 5, 2026",
    "locale": "en_US",
    "management_response": "Thank you for taking the time to share your wonderful feedback.",
    "management_response_date": "Response from Management on Jul 17, 2026",
    "sort_by": "NEWEST_TO_OLDEST_BY_LANGUAGE",
    "scraped_at": "2026-10-23T10:30:00.000Z",
    "source": "hotels.com"
}

The management response is shortened for readability.

Tips for Best Results

• Use complete hotel URLs when possible. They are easier to verify and keep in your records.
• Start with a small results_wanted value to check the output before running a large job.
• Use max_pages as a safety limit. One page contains up to 50 reviews.
• Residential Apify Proxy is enabled by default. Keep it for large runs or repeated schedules because Hotels.com limits shared datacenter IPs.
• If a hotel has no published reviews, the run can finish with an empty dataset for that hotel. Check the hotel page before assuming the Actor failed.
• Review text and management responses can be long. Use the dataset table for a quick preview and download CSV or JSON for full analysis.

Integrations

• Google Sheets - Send review datasets to a spreadsheet for filtering and reporting.
• Webhooks - Trigger a workflow after a run finishes.
• Make or Zapier - Connect review data to no-code automations.
• Apify API - Fetch datasets programmatically from your own application.
• CSV, Excel, JSON, XML - Download results in the format your team already uses.

Frequently Asked Questions

Can I export Hotels.com reviews to CSV or Excel?

Yes. Apify datasets can be downloaded as CSV, Excel, JSON, XML, and other supported formats from the run page.

Can I collect reviews from more than one hotel?

Yes. Add multiple hotel URLs to startUrls. The Actor processes them in one run and combines the reviews in the default dataset.

Can I run this Actor on a schedule?

Yes. Create an Apify schedule for daily, weekly, or monthly runs. Keep the residential proxy enabled for recurring jobs.

How many reviews can I collect?

The Actor can collect up to the total number of reviews Hotels.com publishes for a hotel. Use results_wanted to cap the dataset and max_pages to cap requests per hotel.

Why are some review fields missing?

Hotels.com does not publish every field for every review. Empty titles, missing themes, missing photos, and missing management responses are normal. The Actor removes fields that have no value.

Why did a hotel return no reviews?

The hotel may have no published reviews, the URL may point to a different property, or Hotels.com may have limited the request. Check the hotel page and run logs, then retry with a new residential proxy session.

Does this Actor support hotel IDs?

Yes. You can use full hotel URLs, URLs without a slug, compact IDs such as ho218450, or global property URLs such as h1038731.Hotel-Information.

Is it legal to scrape Hotels.com reviews?

Scraping public web data can be legal, but rules vary by location and use case. You are responsible for complying with applicable laws, website terms, and privacy rules.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate collection of publicly available review data. Users are responsible for using the data responsibly and complying with applicable laws and website terms.