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Trip.com Scraper for Destination and Attraction Data
The Trip.com travel guide covers destinations, attractions, food and shops with category, location and opening information. Our Trip.com scraper delivers it as one dataset.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
trip.comwhat you get
Typical fields for travel sites
propertycitycheck_inroom_typepriceavailablerating
Delivery
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
Managed travel guide data, run end to end by us
- You send
Trip.com pages, filters, fields and a schedule
- We run the scrapers
Built, monitored and repaired by our team
- You receive the data
API, JSON feed or CSV, XLSX and JSON files
ScrapeIt runs the collection as a managed service. You name the destinations and categories; we collect the travel guide sections, type attractions, food and shopping separately, and hand back CSV, JSON, Excel or a push into your warehouse.
Guide content changes slowly, so periodic collection with change records fits better than a daily crawl and is what we quote.
We pace requests and never log in. We collect only publicly available data - everything a visitor can see on Trip.com - and we collect it legally.
Trip.com fields in every export
Attraction records carry the attraction name, category, destination city, country, address or area as published, coordinates where published, opening information, the description and the attraction page address.
Destination records carry the destination name, country, the guide sections published for it and the attractions, shops and food listings linked from it.
Local food and shopping records are their own types, since a restaurant recommendation and a museum are different kinds of place and a points-of-interest dataset that merges them is harder to use.
Review text, comment counts drawn from comment pages and ticket prices can be added to the same rows. Where an attraction page itself shows a headline rating, it is recorded as displayed and labelled as such.
Every row carries the collection timestamp and the guide section it came from, so coverage can be audited section by section.
Points of interest, destination coverage and limits
Points-of-interest assembly is the main use: attractions, food and shopping by destination, with category and location, ready to join to a client's own map or recommendation data.
Destination coverage comparison shows how deeply the guide covers each city and which categories dominate, which is useful to destinations measuring how they are presented to international travellers.
Category mix analysis across cities answers what kinds of attractions a global platform features where, a question tourism marketers ask and rarely get structured data for.
Hotel lists and hotel detail pages, flight fares, car hire, reviews and comments can be added to the same project when a brief needs them. No account access and no ticket booking.
A global travel platform with a structured guide
- Source
- trip.com
- Category
- travel sites
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
Trip.com is the international brand of Trip.com Group, one of the largest online travel companies, selling flights, hotels, trains, car hire and attraction tickets across many markets, with a large destination and attraction guide alongside.
Its public pages carry hotel lists and hotel detail pages, flight fare and route ticket pages, car hire lists, reviews and attraction comments.
The travel guide is organised by section - destinations, attractions, shops, local food and guidebooks. The attraction pages we checked responded with substantial content.
So the most distinctive part of Trip.com is not its prices and not its reviews. It is a very large, structured catalogue of places.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
Trip.com scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhy the guide is worth more than it looks
Travel data briefs usually start with prices, and Trip.com prices can be collected like any other public field.
What the site offers beside its prices is a structured guide to a great many destinations worldwide: attractions with categories and locations, local food, shopping and guidebooks. For tourism boards, travel app builders, mapping products and anyone assembling a points-of-interest database, that is directly useful data.
The second reason is coverage. A global travel platform maintains guides for destinations that local sources cover in different languages and formats. One consistent schema across many cities is much easier to work with than stitching together regional sources.
The third is structure. The guide is already split into destinations, attractions, shops, local food and guidebooks, so the scope of a project is a list of sections and cities rather than a judgement call.
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Who builds and keeps your guide feed
ScrapeIt is a managed extraction company, not a tool you have to learn. Our team follows the guide sections as the site restructures them, keeps each place typed correctly, and repairs collection when page templates change.
You see a sample first, in your format, over the destinations you actually cover, so you can judge the attraction data on real cities.
FAQ
Still unsure? Write to info@scrapeit.io
Can you collect Trip.com hotel and flight prices?
Yes. Hotel lists, hotel detail pages, flight fare and route ticket pages and car hire lists are public, and their prices are collected with the collection timestamp on every row, beside the guide data or on their own.
What does the travel guide cover?
Five sections: destinations, attractions, shops, local food and guidebooks. The attraction pages we checked are substantial, and together they form a large catalogue of places worldwide.
Can I get reviews?
Yes. Reviews and attraction comments are public and can be collected with the attraction they belong to. Where an attraction page shows a headline rating itself, we record it as displayed and label it. Personal data is handled under GDPR.
Who uses attraction data?
Tourism boards, travel app builders, mapping products and anyone assembling a points-of-interest database. A consistent schema across many destinations is much easier to use than stitching together regional sources.
How do you show where each row came from?
The guide names its sections exactly, so scope is a list of sections rather than a judgement call. We record the guide section on every row, which makes coverage auditable after delivery.
How it works
- 1
Make a request
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
- 2
We configure the crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
- 3
Collect and deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
- 4
Maintain and support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Request a quote
Tell us which sites, which fields and how often. A couple of lines is enough to start.
- We reply within 1 business day
- A sample dataset before the full run
- We sign an NDA on request
- Delivery by API, JSON feed or files