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Our Trip Scraper will extract data for different types of accommodation from Trip.com website, a popular online travel agency with more than 400 million users. You're free to specify any number of search filters that Trip.com offers in their web interface such as check-in and check-out dates, property type, number of stars or rating, amenities and other filters. Then simply copy the search URL and pass it to the scraper. It will find all properties meeting your search conditions. You can also provide URLs of individual properties for skipping the search step.
Trip Scraper will supply you with data such as:
🏨 Hotel name
📷 Cover image
📝 Detailed description
🛏 Available rooms
⭐ Stars & rating
🏊♀️ Popular amenities
❓ Questions & answers
You can also adjust the amount of extracted data by switching available rooms and detailed room facilities extraction. If you don't need information on the individual rooms, unchecking
extractRoomFacilities options will save you a lot of space in a dataset.
Apify gives you $5 free usage credits every month on the Apify Free plan. When you provide direct property URLs as
startUrls, you can get approximately 600 results within $5 limit. If you want Trip.com scraper to find properties for you based on search filters, it will be a bit more costly - you'll get about 350 results for $5. It is because the scraper has to simulate infinite scroll which adds some extra overhead.
If you need to scale your Trip.com data extraction, you should grab an Apify subscription. We recommend our $49/month Personal plan - you can get up to 6,000 results monthly. Or scrape 60,000 results for $499 with the Team plan, it's up to your needs.
1️⃣ If your Apify subscription allows you to do so, increase memory to 8192 MB which will provide the scraper with 2 CPU cores. You'll get your results faster for comparable price.
2️⃣ You may get a different number of results from multiple runs. It is due to Trip.com policy so it can't be resolved by our scraper easily. Even when you browse searched properties manually using the web interface, Trip.com sometimes disables the infinite scroll sooner than you reach the promised number of total results.
3️⃣ If you don't need available rooms data or you're fine without detailed room facilities, switch their extraction off as mentioned above. You can not only save dataset space but also speed up the scraper a little bit.
If you'd like to get some extra data that our Trip.com scraper doesn't extract at the moment, let us know by opening a new issue. There's a potential to scrape guest reviews, photos uploaded by both property owners and users, check-in and check-out policy, places of interests nearby and so on. Don't hesitate to comment on what you would like us to add first.