TripAdvisor Hotels Scraper 🏨

Extract detailed information about hotels from TripAdvisor search results. This actor helps you gather comprehensive hotel data for market research, competitive analysis, or building travel applications.

Features ✨

• Scrape hotel listings from TripAdvisor search results
• Extract detailed hotel information including:
  • Hotel name and URL
  • High-quality images
  • Contact information
  • Complete address details
  • Price level indicators
  • Rating scores and review counts
  • Hotel type and ranking position

Input Parameters 📝

Use Cases 🎯

• Market research and competitive analysis
• Travel industry data collection
• Hotel price monitoring
• Customer sentiment analysis
• Location-based hotel availability tracking

Tips 💡

• Use specific location-based search URLs for better results
• Adjust maxItems based on your needs

Input Example

A full explanation of an input example in JSON.

1{
2    "searchUrl": "https://www.tripadvisor.com/Hotels-g60763-zfc5-zfd21371-a_ufe.true-New_York_City_New_York-Hotels.html",
3    "maxItems": 45
4}

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		"name": "The Plaza New York - A Fairmont Managed Hotel",
4		"url": "https://www.tripadvisor.com/HotelHighlight-g60763-d675616-zfc9572-zfd21371-Reviews-The_Plaza_New_York_A_Fairmont_Managed_Hotel-New_York_City_New_York.html?m=68717",
5		"image": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/08/02/03/76/the-plaza-hotel.jpg?w=1200&h=-1&s=1",
6		"telephone": "+1 212-759-3000",
7		"priceLevel": "€€€",
8		"address": {
9			"street": "768 Fifth Avenue",
10			"city": "New York City",
11			"region": "New York",
12			"country": "United States",
13			"postalCode": "10019"
14		},
15		"rating": {
16			"score": 4.5,
17			"reviewCount": 4361
18		},
19		"position": 1,
20		"type": "Hotel"
21	},
22    ...
23]

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