Trip.com Scraper
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from $3.00 / 1,000 results
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Trip.com Scraper
Scrape Trip.com hotels, train routes, and attractions worldwide. Hotels: autocomplete a city, search by location / coordinates / Trip.com URL, get full hotel details by ID or URL. Trains: search routes between cities + per-train details. Attractions: search things-to-do by city + per-POI details.
Pricing
from $3.00 / 1,000 results
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Scrape Trip.com hotels, train routes, and attractions worldwide via the realtyapi.io Trip.com API.
What it does
- π¨ Hotel Details β auto-detects each input as
hotelId(digits) ortrip.comURL; returns the full record (rooms, amenities, policies, location, reviews summary, full image list, nearby POIs). - π Hotel Search β 3 modes: by location name, by
lat,lng[,radius_km]coordinates, or by Trip.com listing URL. All filters (dates / guests / price / star / sort) apply. - π€ Destination Autocomplete β resolve free-text city/destination β
cityId+ Trip.com city URL. - π Trains β route search (
Origin β Destination [date]) returns one row per departure; per-train detail row bytrainNo. - π’ Attractions β things-to-do search by city keyword + per-POI detail by
poiId.
Output
- One flat dataset row per result β hotel / train / POI / autocomplete row.
- Columns:
Mode,Input Given,ID,Name,City,Country,Address,Price,Currency,StarRating,Rating,ReviewCount,Latitude,Longitude,Extra,Cover Photo,Listing URL. - Full upstream JSON kept in the
Rawcolumn for power users (rooms, amenities, segments, photos, etc.).
Inputs
- Each section is independent β fill only the ones you need.
- Multiple inputs per section: one per line.
- The π Hotel Filters block (check-in/out, adults, children, rooms, sort, price, star, resultCount, page) applies to every hotel search and detail call.
Pricing
- Pay per result: $3 per 1,000 dataset items β same rate on every Apify plan tier.
- Apify start fee: $0.00005 per run.
Notes
- Trip.com SSR caps each hotel search page at ~12 hotels; this actor stitches multiple SSR + SEO sources per city to deliver up to 100 unique hotels per query.
- Date format is
YYYY-MM-DD; leave check-in / check-out blank to default to ~30 days out. - Train routes work best on European (Eurostar, France, Spain) and Chinese networks β those are the corridors with full SEO route pages on Trip.com.
- Attraction detail by arbitrary
poiIdworks for POIs in Trip.com's SEO feeds (~350 well-known attractions across the top ~25 cities); deep-tail POIs may return a 404.
Errors
- Failures land in the dataset as rows with
Mode = "ERROR"and the upstream error message inNameβ nothing is silently dropped.