Pricing

from $1.00 / 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 $1.00 / 1,000 results

Rating

5.0

(6)

Developer

Shahid Irfan

Actor stats

Bookmarked

Total users

Monthly active users

9 hours 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.com Reviews Scraper

one_house/tripcom-reviews-scraper

Scrape hotel reviews, ratings, and owner replies from Trip.com by hotel URL or hotel ID.

One House

Trip.com Hotels Scraper

shahidirfan/Trip-com-Hotels-Scraper

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

Shahid Irfan

5.0

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

Trip.com Hotel Reviews Scraper

automation-lab/trip-com-hotel-reviews-scraper

Extract public Trip.com hotel reviews, scores, guest text, translations, traveler and room details, rating breakdowns, and media signals. Export structured data or schedule hotel reputation monitoring.

Stas Persiianenko

Trip Hotel Search Scraper

powerai/trip-hotel-search-scraper

Scrape hotel listings from Trip.com with automatic pagination and comprehensive hotel data extraction including prices, ratings, reviews, and room details.

PowerAI

5.0

Trip.com Hotel Scraper

moving_beacon-owner1/trip-com-hotel-scraper

Trip.com Hotel Scraper extracts hotel listings from Trip.com search results, collecting prices, ratings, reviews, room details, hotel links, and images. It supports lazy-loaded pages, optional pagination, and exports structured data to the Apify dataset.

Jamshaid Arif

Trip.com Hotels Scraper

fetch_cat/trip-com-hotels-scraper

Scrape public Trip.com hotel listings, prices, ratings, amenities, and URLs by destination.

Hanna Nosova

MakeMyTrip Hotel Reviews Scraper

shahidirfan/MakeMyTrip-Hotel-Reviews-Scraper

Scrape hotel reviews, ratings & guest feedback from India's largest travel platform. Extract review text, scores, dates, guest details & hotel metadata. Ideal for sentiment analysis, competitor intelligence, hospitality market research & travel trend datasets.

Shahid Irfan

5.0

Trip Hotels Reviews Scraper

stealth_mode/trip-hotels-reviews-scraper

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.