Pricing

from $1.49 / 1,000 results

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Trip.com Hotel Reviews Scraper

Try for free

Extract detailed hotel reviews, ratings & guest insights from Trip.com instantly. Perfect for market research, competitive intelligence & sentiment analysis. Gather structured review data, scores, comments & trends to power your hospitality analytics.

Pricing

from $1.49 / 1,000 results

Rating

5.0

(4)

Developer

Shahid Irfan

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Travel

Automation

Developer tools

You can access the Trip.com Hotel Reviews Scraper 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    "startUrl": "https://us.trip.com/hotels/detail/?cityEnName=Tokyo&cityId=228&hotelId=78690884&checkIn=2026-04-06&checkOut=2026-04-07&adult=2&children=0&crn=1",
12    "hotelId": 78690884,
13    "results_wanted": 20
14};
15
16// Run the Actor and wait for it to finish
17const run = await client.actor("shahidirfan/trip-com-hotel-reviews-scraper").call(input);
18
19// Fetch and print Actor results from the run's dataset (if any)
20console.log('Results from dataset');
21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
22const { items } = await client.dataset(run.defaultDatasetId).listItems();
23items.forEach((item) => {
24    console.dir(item);
25});
26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Trip.com Hotel Reviews Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Trip.com Hotel Reviews Scraper 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:

Trip.com Hotel Reviews Scraper API in Python

Trip.com Hotel Reviews Scraper API through CLI

Trip.com Hotel Reviews Scraper OpenAPI definition

Trip.com Hotel Reviews Scraper API

Trip Hotel Reviews Scraper

powerai/trip-hotel-reviews-scraper

Scrape hotel reviews from Trip.com with comprehensive review data including ratings, user information, stay details, and review images.

PowerAI

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Extract real-time hotel listings, prices, reviews & availability from Trip.com. Perfect for travel research, price monitoring & competitive analysis. Get structured data instantly.

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Scrape verified guest reviews from Trip.com hotel pages — including ratings, room types, travel purpose, images, and translated content. Perfect for hospitality analysts, OTA researchers, and reputation management teams needing structured review data.

Stealth mode

Trip.com Reviews Scraper

knagymate/trip-com-reviews-scraper

Scrape Trip.com hotel reviews into structured data: ratings, text, translated content, travel type, and more. Supports sorting, pagination, and cutoff dates—ideal for analytics, AI, and market research.

knagymate

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ScrapAPI

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scrapebase/tripcom-email-scraper

ScrapeBase

Trip Hotels Search Scraper

stealth_mode/trip-hotels-search-scraper

Scrape hotel search results from Trip.com including pricing, ratings, room details, promotions, and location data. Ideal for travel analysts, OTA developers, and hospitality researchers needing structured hotel inventory data at scale.

Stealth mode

Trip.com Phone Number Scraper – Cheapest 📞✈️🏨

contactminerlabs/trip-com-phone-number-scraper---cheapest

🔍 Scrape Mass / Bulk Trip.com Phone Numbers ✈️🏨📞 Enter your search criteria to collect phone numbers from Trip.com hotel pages, customer service contacts and travel partner listings, along with hotel names, URLs & more Perfect for lead generation, travel industry research and market analysis 📊

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datawebot/trip-hotel-scraper

Extract room listings and live prices from any Trip.com hotel page. Supports custom check-in/out dates, guest counts, and multiple hotels per run. Works with all Trip.com country subdomains (th, sg, id, etc.).