Trip.com Hotels Scraper

Collect public Trip.com hotel listings for destinations, market research, price monitoring, and travel planning workflows.

What does Trip.com Hotels Scraper do?

Trip.com Hotels Scraper extracts public hotel listing data from Trip.com destination pages. Provide one or more Trip.com hotel list URLs and the actor returns hotel names, Trip.com URLs, ratings, review counts, images, addresses when visible, prices when visible, and source metadata.

Who is it for?

• 🧳 Travel agencies comparing hotel inventory across destinations
• 🏨 Hotel revenue teams monitoring nearby properties
• 📊 Tourism analysts building destination supply datasets
• 🛫 OTAs and metasearch teams checking public Trip.com coverage
• 💼 Consultants preparing travel market reports

Why use this actor?

Manual hotel research is slow. This actor turns public Trip.com destination pages into structured rows that can be exported to JSON, CSV, Excel, or consumed from the Apify API.

What data can you extract?

Field	Description
hotelName	Hotel name shown on Trip.com
hotelUrl	Trip.com hotel detail URL
destination	Destination detected from the listing page
district	District or area when visible
starRating	Hotel star rating when available
guestRating	Guest review score
reviewCount	Number of reviews
price	Public price when visible in the page
currency	Parsed currency code when visible
taxesFeesText	Taxes or fee text when visible
amenities	Amenity labels when visible
imageUrl	Primary hotel image
address	Address or location text when visible
sourceUrl	Listing page URL scraped
scrapedAt	ISO timestamp of extraction

How much does it cost to scrape Trip.com hotels?

The actor uses pay-per-event pricing: a small start event plus a per-result event for each saved hotel listing. Final tiered pricing is calculated from cloud validation runs before publication so users pay in proportion to the number of hotels collected.

Input

The main input is searchUrls, an array of public Trip.com hotel list URLs.

{
  "searchUrls": [
    { "url": "https://www.trip.com/hotels/tokyo-hotels-list-228/" }
  ],
  "maxItems": 20
}

Optional stay details

You can provide optional stay parameters:

• checkIn in YYYY-MM-DD format
• checkOut in YYYY-MM-DD format
• adults
• rooms

These values are appended to the Trip.com URLs when dates are supplied.

Output example

{
  "hotelName": "KOKO HOTEL Tokyo Nishikasai",
  "hotelUrl": "https://www.trip.com/hotels/tokyo-hotel-detail-129054778/koko-hotel-tokyo-nishikasai/",
  "destination": "Tokyo",
  "district": null,
  "starRating": 3,
  "guestRating": 8.4,
  "reviewCount": 842,
  "price": null,
  "currency": null,
  "taxesFeesText": null,
  "amenities": [],
  "imageUrl": "https://ak-d.tripcdn.com/images/0221712000oahl31u544A.jpg",
  "address": null,
  "sourceUrl": "https://www.trip.com/hotels/tokyo-hotels-list-228/",
  "scrapedAt": "2026-06-29T10:43:35.793Z"
}

How to run

1. Open the actor on Apify.
2. Paste one or more Trip.com hotel list URLs.
3. Set maxItems to the number of hotels you need.
4. Start the run.
5. Export results from the Dataset tab.

Tips for best results

• Use destination listing pages, not the Trip.com home page.
• Start with a small maxItems value for your first run.
• Use URLs copied from the Trip.com website in the same language/market you want to monitor.
• If prices are important, include Trip.com URLs where prices are visible to public visitors.

Integrations

Use this actor in workflows such as:

• Daily hotel market snapshots exported to Google Sheets
• Destination inventory monitoring in a BI dashboard
• Travel content enrichment pipelines
• Hotel competitor lists for revenue management
• Tourism research datasets for recurring reports

API usage with Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('<ANNA_APIFY_USERNAME>/trip-com-hotels-scraper').call({
  searchUrls: [{ url: 'https://www.trip.com/hotels/tokyo-hotels-list-228/' }],
  maxItems: 20,
});
console.log(run.defaultDatasetId);

API usage with Python

from apify_client import ApifyClient

client = ApifyClient('MY-APIFY-TOKEN')
run = client.actor('<ANNA_APIFY_USERNAME>/trip-com-hotels-scraper').call(run_input={
    'searchUrls': [{'url': 'https://www.trip.com/hotels/tokyo-hotels-list-228/'}],
    'maxItems': 20,
})
print(run['defaultDatasetId'])

API usage with cURL

curl -X POST 'https://api.apify.com/v2/acts/<ANNA_APIFY_USERNAME>~trip-com-hotels-scraper/runs?token=MY-APIFY-TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"searchUrls":[{"url":"https://www.trip.com/hotels/tokyo-hotels-list-228/"}],"maxItems":20}'

MCP for AI agents

Connect this actor to Claude Desktop, Claude Code, or another MCP client through Apify MCP Server.

MCP URL:

https://mcp.apify.com/?tools=<ANNA_APIFY_USERNAME>/trip-com-hotels-scraper

Claude Code setup:

$claude mcp add apify-trip-hotels "https://mcp.apify.com/?tools=<ANNA_APIFY_USERNAME>/trip-com-hotels-scraper"

Claude Desktop JSON config:

{
  "mcpServers": {
    "apify-trip-hotels": {
      "url": "https://mcp.apify.com/?tools=<ANNA_APIFY_USERNAME>/trip-com-hotels-scraper"
    }
  }
}

Example prompts:

• "Scrape 20 hotels from this Trip.com Tokyo URL and summarize the average guest rating."
• "Collect hotel names and Trip.com URLs for this destination and create a CSV."
• "Compare review counts for the top hotels in these Trip.com destination pages."

Legality and responsible use

This actor collects publicly available information from Trip.com pages. Always use the data responsibly, respect applicable laws, and review Trip.com's terms and local regulations for your use case.

Limits

Trip.com page content can vary by destination, locale, dates, and availability. Some fields may be null when Trip.com does not expose them publicly on the supplied page. Large runs should use sensible maxItems values.

FAQ and troubleshooting

Why are some prices empty?

Trip.com does not always expose public prices on every hotel list response. Add check-in and check-out dates or use a listing page where prices are visibly shown.

Why did I get zero results?

Check that your input URL is a Trip.com hotel list page such as /hotels/tokyo-hotels-list-228/. Home pages, search landing pages, and unsupported pages may not contain hotel cards.

Related scrapers

• https://apify.com/<ANNA_APIFY_USERNAME>/airbnb-listings-scraper
• https://apify.com/<ANNA_APIFY_USERNAME>/airbnb-reviews-scraper
• https://apify.com/<ANNA_APIFY_USERNAME>/agoda-reviews-scraper

Changelog

0.1

Initial version for public Trip.com hotel listing pages.

Dataset export

Results can be downloaded from Apify as JSON, CSV, XML, RSS, Excel, or HTML table. Use CSV for spreadsheets and JSON for application workflows.

Quality notes

The actor is designed for hotel listing rows. It does not scrape private account data, booking confirmations, user-only prices, or data behind a login.

Support

If a Trip.com URL does not work, share the run URL and the exact input so the actor can be improved.

Field coverage

Field coverage depends on the public content Trip.com returns for each destination page. The actor saves the source URL and scrape timestamp so records can be audited later.

Best practices

Run smaller recurring jobs instead of very large one-off jobs when monitoring destinations over time. This makes changes easier to compare and keeps individual runs fast.

Example destinations

Tokyo, Bangkok, London, Paris, New York, Singapore, Seoul, and other Trip.com destination pages can be supplied as long as they use public hotel list URLs.

Data freshness

Every run fetches current public page content from Trip.com. The actor does not reuse old dataset rows between runs.

Automation ideas

Schedule this actor daily or weekly, send the dataset to a database, and compare rating or price changes over time.

Privacy

The actor extracts hotel listing information only. It does not collect user accounts, private bookings, or payment data.