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/month · Free project assessment · Reply within 1 business day
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.
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 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.
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.
Get a Quote
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →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.
Automated scraping of filtered flight ticket data from Opodo.com, including complex on-page interactions for airline and pricing selection.
Learn More
Daily scraping of Booking.com services - hotels, flights, car rentals, and attractions - with best-price selection across global destinations.
Learn MoreLearn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
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.
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.
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.
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.
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.
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.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 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.
Step 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.
Trip.com data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
