Hotels.com Scraper 🏨

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]