Hotels.com Scraper 🏨

Hotels.com Scraper 🏨

Scrape detailed hotel listings from Hotels.com including prices, ratings, amenities, and images. Perfect for price monitoring, market analysis, and travel research.

TRAVELINTEGRATIONSOTHERApify
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Extract detailed hotel information from Hotels.com search results. This powerful scraper collects comprehensive data about hotel listings, including pricing, ratings, locations, amenities, and images.

🎯 Use Cases

  • Monitor hotel prices and availability
  • Analyze competitive pricing strategies
  • Track seasonal price fluctuations
  • Gather market intelligence for the hospitality industry
  • Build travel aggregation platforms
  • Research tourism trends and patterns

✨ Features

  • Scrapes detailed hotel information including:

    • Hotel name, ID, and location 📍
    • Current prices and total costs (including taxes) 💰
    • Guest ratings and review counts ⭐
    • High-quality hotel images 🖼️
    • Special offers and discounts 🏷️
    • Available amenities 🛎️
    • Direct booking URLs 🔗

  • Advanced capabilities:

    • Handles dynamic loading and pagination
    • Random delays to prevent blocking
    • Proxy support for reliable scraping
    • Customizable maximum items limit
    • Resource optimization for faster scraping

💎 Output

The actor provides structured JSON data for each hotel listing, including:

  • Complete hotel details
  • Pricing information with tax breakdown
  • Rating metrics and review statistics
  • Image galleries with descriptions
  • Special promotional badges
  • Timestamp of data collection

🔧 Input Parameters

  • searchUrls: Array of Hotels.com search URLs to scrape
  • maxItems: Maximum number of hotel listings to collect (optional)
  • proxyConfiguration: Proxy settings (optional)

Input Example

A full explanation of an input example in JSON.

1{
2    "searchUrls": [
3       "https://www.hotels.com/Hotel-Search?destination=New%20York%2C%20New%20York%2C%20United%20States%20of%20America&regionId=2621&latLong=40.712843%2C-74.005966&flexibility=0_DAY&d1=2025-02-22&startDate=2025-02-22&d2=2025-02-23&endDate=2025-02-23&adults=2&rooms=1&isInvalidatedDate=false&theme=&userIntent=&semdtl=&useRewards=false&sort=RECOMMENDED"
4    ],
5    "maxItems": 150
6}

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.

1[
2    {
3        "searchUrl": "https://www.hotels.com/Hotel-Search?destination=New%20York%2C%20New%20York%2C%20United%20States%20of%20America&regionId=2621&latLong=40.712843%2C-74.005966&flexibility=0_DAY&d1=2025-02-22&startDate=2025-02-22&d2=2025-02-23&endDate=2025-02-23&adults=2&rooms=1&isInvalidatedDate=false&theme=&userIntent=&semdtl=&useRewards=false&sort=RECOMMENDED",
4        "hotelInfo": {
5            "id": "15040315",
6            "name": "Heritage Hotel",
7            "location": "New York",
8            "url": "https://www.hotels.cn/en/ho589913/heritage-hotel-new-york-united-states-of-america/?chkin=2025-02-22&chkout=2025-02-23&x_pwa=1&rfrr=HSR&pwa_ts=1738983656455&referrerUrl=aHR0cHM6Ly93d3cuaG90ZWxzLmNuL0hvdGVsLVNlYXJjaA%3D%3D&useRewards=false&rm1=a2&regionId=2621&destination=New+York%2C+New+York%2C+United+States+of+America&destType=MARKET&neighborhoodId=6226054&latLong=40.712843%2C-74.005966&sort=RECOMMENDED&top_dp=915&top_cur=CNY&userIntent=&selectedRoomType=201500843&selectedRatePlan=389917096&expediaPropertyId=15040315&searchId=e7a01b52-eff2-4a53-b486-0a36b7520c84"
9        },
10        "rating": {
11            "score": "8.0",
12            "text": "Very Good",
13            "reviewCount": "1,498 reviews"
14        },
15        "price": {
16            "current": "CNY1,017",
17            "total": "CNY1,076 total",
18            "taxInfo": "includes taxes & fees"
19        },
20        "images": [
21            {
22                "description": "Room",
23                "url": "https://images.trvl-media.com/lodging/16000000/15050000/15040400/15040315/b2013cad.jpg?impolicy=resizecrop&rw=455&ra=fit"
24            },
25            {
26                "description": "City view",
27                "url": "https://images.trvl-media.com/lodging/16000000/15050000/15040400/15040315/6347ac03.jpg?impolicy=resizecrop&rw=455&ra=fit"
28            },
29            {
30                "description": "Interior entrance",
31                "url": "https://images.trvl-media.com/lodging/16000000/15050000/15040400/15040315/5ef2fd41.jpg?impolicy=resizecrop&rw=455&ra=fit"
32            },
33            {
34                "description": "Reception",
35                "url": "https://images.trvl-media.com/lodging/16000000/15050000/15040400/15040315/9405473f.jpg?impolicy=resizecrop&rw=455&ra=fit"
36            }
37        ],
38        "badges": {
39            "tertiary": "CNY102 off"
40        },
41        "amenities": [],
42        "scrapedAt": "2025-02-08T03:01:03.217Z"
43    },
44    ...
45]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!