You can access the Tripadvisor (Hotels) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "location": "los angeles",
12    "checkIn": "2025-10-01",
13    "checkOut": "2025-11-01",
14    "proxy": {
15        "useApifyProxy": true,
16        "apifyProxyGroups": [
17            "RESIDENTIAL"
18        ]
19    }
20};
21
22// Run the Actor and wait for it to finish
23const run = await client.actor("canadesk/tripadvisor-hotels").call(input);
24
25// Fetch and print Actor results from the run's dataset (if any)
26console.log('Results from dataset');
27console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
28const { items } = await client.dataset(run.defaultDatasetId).listItems();
29items.forEach((item) => {
30    console.dir(item);
31});
32
33// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Tripadvisor (Hotels) API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Tripadvisor (Hotels) API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Tripadvisor (Hotels) API in Python

Tripadvisor (Hotels) API through CLI

Tripadvisor (Hotels) OpenAPI definition

Tripadvisor (Hotels) API

Hotels.com scraper

jeremy_frost/hotels-com-scraper

Scrape hotel data with this scraper and gather information about accommodations on Hotels.com. You can filter your results by stars, dates, etc. Additionally, you can easily download all room and hotel data from Hotels.com in various formats. Similar scrapers: booking, tripadvisor, expedia, airbnb.

Jeremy Frost

119

Hotels.com Scraper 🏨

easyapi/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.

EasyApi

5.0

Google Hotels Scraper

martin.forejt/google-hotels-scraper

Google Hotels Scraper is an actor for extracting prices from Google search results.

Martin Forejt

253

4.2

Skyscanner Hotels 🏨

jupri/skyscanner-hotels

Scrape Skyscanner.com Hotels

cat

Hotels.com Image Scraper 🏨 📸

easyapi/hotels-com-image-scraper

Scrape hotel images and their descriptions from Hotels.com product pages. Extract high-quality hotel photos with metadata for property listings.

EasyApi

Tripadvisor Hotel Details Scraper

delicious_zebu/tripadvisor-hotel-details-scraper

Effortlessly extract comprehensive hotel data from TripAdvisor, including ratings, reviews, amenities, room details, nearby attractions, and more! Perfect for travel analysis, competitor research, or personalized recommendations. 🌟

ВAH

Google Hotels Scraper for Price Extraction

dainty_screw/google-hotels-scraper-for-price-extraction

Looking to stay competitive in the hotel industry? A Google Hotels Scraper helps you easily pull pricing data from Google search results, allowing you to analyze trends and adjust your pricing strategy for better results.

codemaster devops

Booking.com All-Year Multi-Area Hotel Data Scraper

moving_beacon-owner1/my-actor-25

A Python-based scraper that automatically collects hotel listings from Booking.com across multiple cities and every month of the year, capturing data such as price, rating, and availability for travel and market analysis

Jamshaid Arif

Booking Search Scraper Pro

hello.datawizard-owner/Booking-Search-Scraper-Pro

The Booking-Scraper Apify Actor extracts detailed hotel data from Booking.com in structured JSON, including names, addresses, reviews, and room details. Ideal for travel planning and market research, it supports proxy use and customizable limits. Built by DataWizards for scalable,data extraction.