TripAdvisor Hotels Scraper

TripAdvisor Hotels Scraper

Scrape TripAdvisor hotel listings with detailed information including name, address, ratings, and pricing. Perfect for market research, competitive analysis, and travel industry data collection.

TRAVELApify

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 📝

FieldTypeDescription
searchUrlStringTripAdvisor hotel search URL (e.g., https://www.tripadvisor.com/Hotels-g60763-New_York_City_New_York-Hotels.html)
maxItemsIntegerMaximum number of hotel listings to scrape

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]

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!