Trip.com Hotel Scraper for Listing URLs
This Trip.com hotel scraper exports hotel listing data from a Trip.com search or listing URL into a structured CSV. Import the workflow into the UScraper local desktop app, replace the sample search URL, and collect hotel names, ratings, locations, prices, detail URLs, result totals, and timestamps without writing code.
CSV
10
Scroll + page loop
Built in
Free
At a glance
Export Trip.com hotel listings from a search URL
The bundled workflow starts from a Trip.com hotel listing URL, such as a city search with dates, guest count, currency, and travel-purpose parameters already included. It sets a large browser window, navigates to the URL, waits for the page to load, and checks whether Trip.com has redirected the session to a sign-in or verification screen.
If hotel listing links are available, UScraper exports each unprocessed hotel card into trip-com-scraper-listing-url.csv. After each export pass, the workflow runs a scroll and wheel loop across the document and scrollable containers so virtualized hotel links have time to appear. It then checks for fresh links, listing-style "Load more", "More hotels", or "More properties" controls, and finally visible next-page pagination.
Hotel rows with booking context
Capture the listing page URL, hotel name, rating, star rating, review count, location text, visible price, hotel detail URL, total result count, and export timestamp.
Built for lazy hotel result pages
The graph combines waits, scroll actions, link marking, load-more checks, and pagination so repeat rows are avoided while new cards continue loading.
Local desktop execution
The stock template writes the CSV to your configured local folder and keeps the workflow reviewable before you run larger hotel research batches.
No low-level scraping setup
Use the visual blocks as delivered, then adjust the Navigate URL, save folder, pacing, or export columns for your target destination and reporting process.
Who this is for
Trip.com data extractor use cases
Hotel researchers can use the export to compare visible prices, ratings, and review density across a destination search. Travel agencies can collect candidate hotel detail URLs before manually reviewing room pages, amenities, cancellation policies, and supplier fit. Revenue and market analysts can build repeatable snapshots for the same city and date range, then compare how listed hotels shift over time.
This page targets commercial and transactional search intent: people looking for a Trip.com scraper, a Trip.com data extractor, or a way to export Trip.com hotels into a spreadsheet. If you need wider travel coverage, pair it with the TripAdvisor Hotels Scraper, Jalan Hotel Listings Scraper, and Hoteles Listing Scraper. Browse the UScraper template library for additional travel, real estate, and search templates.
How to use
Configure the Trip.com hotel scraper workflow
Replace the listing URL
Open your Trip.com hotel search in the browser, set the city, dates, guests, currency, and filters you need, then paste that listing URL into the Navigate block.
Confirm the CSV path
Structured Export writes trip-com-scraper-listing-url.csv with headers enabled and append mode on. Change the save folder before client or destination-specific runs.
Run the scroll and pagination loop
UScraper waits for hotel detail links, exports visible unprocessed rows, marks exported links, scrolls lazy containers, clicks listing-level load-more controls, and follows next-page pagination.
Open and audit the export
Spot-check hotel names against detail URLs, review missing price cells, and confirm the search URL parameters before using the file for reporting or downstream enrichment.
Output preview
CSV columns produced by the template
The export is designed for spreadsheet review and follow-up crawling. Detail URLs are especially useful when you want a second workflow to visit each hotel page for amenities, room availability, photos, or policy information.
| Web_Page_URL | Hotel_Name | Rating | Star_Rating | Number_of_Reviews | Location | Price | Detail_url | total_nums | Current_Time |
|---|---|---|---|---|---|---|---|---|---|
| https://www.trip.com/hotels/list?city=633... | Example Midtown Hotel | 4.4/5 | 4 | 1,248 reviews | Show on map near Times Square | US$214 | https://www.trip.com/hotels/detail/?hotelId=12345 | 1,026 properties found | 2026-06-01T17:50:00.000Z |
| https://www.trip.com/hotels/list?city=633... | Harbor View Suites | 4.1/5 | 3 | 635 reviews | Near downtown transit | US$168 | https://www.trip.com/hotels/v2/detail/?hotelId=67890 | 1,026 properties found | 2026-06-01T17:50:06.000Z |
trip-com-scraper-listing-url.csvColumn
Hotel_Name
Hotel name inferred from the listing card or link text.
Column
Rating
Visible guest rating, normalized where the card exposes a score.
Column
Star_Rating
Visible star or diamond count when present in the listing card.
Column
Number_of_Reviews
Review-count text when it appears uniquely in the card.
Column
Location
Map or nearby-location text from the hotel card.
Column
Price
Visible price text for the current search context and currency.
Column
Detail_url
Absolute Trip.com hotel detail URL for follow-up review or enrichment.
Comparison
Local Trip.com scraper vs cloud hotel scrapers
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Trip.com template | No-code users who need Trip.com hotel listings to CSV from a local desktop app | Best for controlled listing exports and reviewable workflow edits |
| Hosted scraping actors | Teams that want managed infrastructure and high-volume runs | Listing URLs and output pass through a third party and may bill by request, row, or compute time |
| Custom browser automation | Developers who need fully bespoke crawling logic | Requires code, selector maintenance, retry logic, export plumbing, and compliance review |
FAQ
Frequently asked questions
Trip.com hotel pages may be publicly viewable, but automated collection can still be limited by Trip.com terms, robots rules, copyright, privacy law, and how you reuse the data. Use modest pacing, avoid bypassing access controls, and get legal review before using exported hotel data commercially.
Before you run
Practical limits and maintenance notes
Keep these Trip.com constraints visible
Hotel listing pages can throttle or redirect long sessions
Keep batches modest, avoid parallel runs against the same destination, and increase waits when cards load slowly or prices appear late.
Selectors may need maintenance after Trip.com redesigns
Empty hotel names, duplicate rows, or missing prices usually mean the listing card structure changed, the session hit a sign-in guard, or the selected URL returns a different layout.
Treat the CSV as a research export
Prices and availability can change quickly. Document your collection time, preserve the original listing URL, and review platform terms before republishing or reselling hotel data.
Download the free template, install the local desktop app from UScraper download, and use this workflow whenever you need to download Trip.com hotel data into a structured CSV.
Get Started
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What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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