# Trip.com Hotels Scraper - Low-costπŸ’²πŸ”₯πŸ¨πŸ™οΈ (`delectable_incubator/trip-com-hotels-scraper-low-cost`) Actor πŸ¨πŸ”Ž Extract hotel listings from Trip.com with ease. Collect hotel names, ratings, reviews, room details, prices, locations, awards, images, and hotel URLs. Ideal for hotel market research, travel analytics, price monitoring, hotel comparison, and hospitality datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/trip-com-hotels-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Travel, Real estate, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** β€” the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** β€” [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** β€” the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** β€” the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** β€” the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README

Trip.com Hotels Scraper

*** ## πŸ¨πŸ”Ž Trip.com Hotels Scraper | Bulk Search URL Scraper | Hotel Listings | Apify Actor ### πŸš€ Extract Trip.com Hotels in Seconds (No Code) The **Trip.com Hotels Scraper (Apify Actor)** is a powerful, scalable, and SEO-optimized scraping solution designed to extract **public hotel listings from Trip.com** using bulk hotel search URLs. Collect structured hotel data including **hotel names, ratings, star counts, locations, review scores, room information, prices, booking details, amenities tags, images, hotel IDs, and hotel URLs**. Perfect for **hotel market research, travel analytics, price monitoring, hotel comparison, hospitality intelligence, travel datasets, AI datasets, and automation.** *** ## πŸ”₯ Why This Trip.com Hotels Scraper? βœ” Powerful Trip.com Hotel Scraper on Apify βœ” Supports Bulk Search URLs βœ” Search Hotels by Destination βœ” International Hotel Coverage βœ” Automatic Scrolling βœ” Hotel Names & IDs βœ” Star Ratings βœ” Review Scores βœ” Room Information βœ” Bed Information βœ” Current & Total Prices βœ” Promotional Information βœ” Hotel Images βœ” Hotel Detail URLs βœ” Fast & Scalable Extraction βœ” JSON / CSV / Excel Ready βœ” No Coding Required *** ## 🎯 What This Scraper Does This Apify Actor extracts public hotel listings from **Trip.com hotel search pages**. Each URL is processed independently. The scraper automatically scrolls through Trip.com's results and collects hotels until the configured **maxItemsPerUrl** limit is reached or no additional results are available. You can provide one or multiple Trip.com hotel search URLs in a single run. *** ## πŸ“Œ Supported Search Types The scraper supports Trip.com hotel search URLs for: 🏨 Hotel Searches 🌍 International Destinations πŸ™οΈ City Searches πŸ—ΊοΈ Destination Searches πŸ“… Date-Based Hotel Searches πŸ‘₯ Guest-Based Searches πŸ’΅ Multi-Currency Searches *** ## ⚑ Input Configuration ### πŸ”₯ BULK URL MODE ``` { "bulkUrls": [ "https://us.trip.com/hotels/list?city=228&provinceId=0&countryId=78&checkIn=2026-12-18&checkOut=2026-12-30&lat=0&lon=0&districtId=0&barCurr=USD&searchType=CT&crn=1&adult=2&children=0&domestic=false", "https://us.trip.com/hotels/list?flexType=1&fixedDate=0&cityId=363&provinceId=10058&districtId=0&countryId=28&cityName=Munich&searchType=CT&checkin=2027-02-10&checkout=2027-02-13&crn=1&adult=2&curr=USD&locale=en-US" ], "maxItemsPerUrl": 70, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` Simply add one or multiple Trip.com hotel search URLs. Each URL is processed independently and the scraper automatically scrolls through the results. πŸ‡ΊπŸ‡Έ **Residential US proxies are strongly recommended when using `us.trip.com`.** *** ## πŸ“Š Extracted Data | Field | Description | | ---------------- | --------------------------------------- | | id | Trip.com hotel ID | | masterHotelId | Master hotel ID | | hotelName | Hotel name | | detailUrl | Full hotel detail URL | | ratingType | Rating type | | starCount | Number of hotel stars | | isAd | Whether the listing is an advertisement | | hasAward | Whether the hotel has an award | | awardText | Award information | | areaName | Hotel area or neighbourhood | | distanceInfo | Distance or nearby landmark information | | oneSentenceTags | Hotel tags | | reviewRatingText | Review rating text | | reviewCount | Number of reviews | | reviewScore | Review score | | roomName | Available room name | | bedInfo | Bed information | | originalPrice | Original advertised price | | currentPrice | Current room price | | totalPriceText | Total price information | | promoTags | Promotional tags | | images | Hotel image URLs | | cityId | Trip.com city ID | | provinceId | Trip.com province ID | | countryId | Trip.com country ID | | sourceUrl | Original Trip.com search URL | | scrollBatch | Scroll batch where the hotel was found | *** ## 🏨 Hotel Information Extract detailed information about hotels, including: 🏷️ Hotel Name πŸ†” Hotel ID ⭐ Star Rating πŸ† Awards πŸ“ Area / Neighbourhood πŸ“Œ Nearby Locations πŸ”— Hotel Detail URL *** ## ⭐ Ratings & Reviews The scraper can collect available hotel reputation information: ⭐ Star Count πŸ“Š Review Score πŸ’¬ Review Count πŸ“ Review Rating Text πŸ† Award Information This makes the dataset useful for **hotel comparison, hospitality research and travel analytics**. *** ## πŸ›οΈ Room Information Depending on the Trip.com search results, the scraper can extract: πŸ›οΈ Room Name πŸ›Œ Bed Information πŸ’΅ Current Price πŸ’° Original Price 🧾 Total Price 🏷️ Promotional Tags This allows you to analyze **hotel room pricing and availability information shown in search results**. *** ## πŸ’° Pricing Information The scraper extracts pricing information displayed by Trip.com, including: πŸ’΅ Current Price πŸ’° Original Price 🧾 Total Price πŸ“… Stay Duration πŸ‘₯ Room / Guest Configuration πŸ’³ Search Currency Example: ``` Current price: $177 Total price: $570 1 room Γ— 3 nights incl. taxes & fees ``` Pricing information depends on the dates, guests, currency and search configuration contained in the source URL. *** ## πŸ“Έ Hotel Images The scraper can collect multiple hotel images for each listing. Extract: πŸ–ΌοΈ Hotel Image URLs πŸ”’ Multiple Images per Hotel These images can be used for **hotel catalogs, travel datasets, visual analysis and research**. *** ## πŸ“ Location Information Trip.com location identifiers and area information can be collected, including: πŸ™οΈ City ID πŸ—ΊοΈ Province ID 🌍 Country ID πŸ“ Area Name 🚢 Distance Information These fields are useful for **travel analytics, destination research and geographic hotel analysis**. *** ## πŸ”„ Automatic Scrolling Trip.com's hotel results load dynamically as the page is scrolled. The Actor automatically: 1. Opens each provided search URL. 2. Loads the hotel search results. 3. Scrolls through the results. 4. Extracts newly loaded hotels. 5. Continues until **maxItemsPerUrl** is reached. 6. Stops when no additional results are available. This means you do **not** need to manually provide pagination URLs. *** ## πŸ’‘ Use Cases Perfect for: 🏨 Hotel Market Research πŸ“Š Hospitality Analytics πŸ’° Hotel Price Monitoring πŸ”Ž Hotel Comparison 🌍 Travel Market Research πŸ“ˆ Tourism Analytics 🧳 Travel Intelligence 🏒 Hospitality Competitive Analysis πŸ“… Hotel Price Tracking πŸ“‹ Hotel Dataset Building πŸ€– AI Training Datasets βš™οΈ Automation Workflows *** ## πŸš€ Key Features ⚑ Bulk Search URL Support 🌍 International Hotel Searches 🏨 Hotel Listings πŸ”„ Automatic Scrolling ⭐ Star Ratings πŸ† Hotel Awards πŸ“Š Review Scores πŸ’¬ Review Counts πŸ›οΈ Room Information πŸ›Œ Bed Information πŸ’° Pricing Information 🏷️ Promotional Tags πŸ“Έ Hotel Images πŸ“ Location Information πŸ”— Hotel Detail URLs πŸ“Š Structured Output πŸ” Reliable Cloud Execution πŸ’Ύ Export-Ready Datasets βš™οΈ Scalable Apify Actor *** ## πŸ“€ Export Formats βœ” JSON βœ” CSV βœ” Excel (XLSX) βœ” XML βœ” HTML βœ” RSS *** ## πŸ“¦ Example Output ``` { "id": "28845828", "masterHotelId": "28845828", "hotelName": "Haus im Tal", "detailUrl": "https://us.trip.com/hotels/detail/?cityEnName=Munich&cityId=363&hotelId=28845828", "ratingType": "star", "starCount": "4", "isAd": false, "hasAward": true, "awardText": "No. 20 of 4-Star Select Hotels in Munich", "areaName": "Near Marienplatz", "distanceInfo": "2 mins walk to Beer and Oktoberfest Museum", "oneSentenceTags": [], "reviewRatingText": "Great", "reviewCount": "115", "reviewScore": "9.2", "roomName": "Downtown Cozy", "bedInfo": "1 double bed", "originalPrice": "N/A", "currentPrice": "Current price $276", "totalPriceText": "Total price: $876 1 room Γ— 3 nights incl. taxes & fees", "promoTags": [], "images": [ "https://ak-d.tripcdn.com/images/0222612000l7n6tuiF86F_R_600_600_R5_D.jpg_.webp", "https://ak-d.tripcdn.com/images/0224v12000l7n6xlc999D_R_600_600_R5_D.jpg_.webp" ], "cityId": "363", "provinceId": "10058", "countryId": "28", "sourceUrl": "https://us.trip.com/hotels/list?...", "scrollBatch": "1" } ``` *** ## πŸ”₯ Why Use This Trip.com Hotels Scraper? βœ” Bulk URL Support βœ” Automatic Infinite Scrolling βœ” Destination-Based Searches βœ” International Hotel Coverage βœ” Detailed Hotel Metadata βœ” Star Ratings βœ” Review Information βœ” Room & Bed Details βœ” Current & Total Pricing βœ” Promotional Information βœ” Multiple Hotel Images βœ” Hotel IDs βœ” Hotel Detail URLs βœ” Structured Export-Ready Data βœ” Scalable Apify Infrastructure *** ## πŸ’Έ Pricing This scraper runs on a **pay-per-result** pricing model. You only pay for successfully extracted hotel listings. **πŸ’³ Price: $0.95 / 1,000 results** *** ## ❓ FAQ #### Can I scrape multiple Trip.com URLs? Yes. The Actor supports **bulk hotel search URLs**, allowing you to process multiple destinations or searches in a single run. *** #### Does it support different cities? Yes. You can provide Trip.com search URLs for different cities and destinations. *** #### Does it support date-based searches? Yes. Trip.com search URLs can include check-in and check-out dates. The scraper extracts the hotel results returned for those search parameters. *** #### Does it automatically scroll? Yes. The Actor automatically scrolls through Trip.com's dynamically loaded hotel results. *** #### Can I scrape hundreds or thousands of hotels? Yes. Increase **maxItemsPerUrl** and provide multiple search URLs to scale your extraction. *** #### Does it extract hotel prices? Yes. The scraper collects current price, original price and total price information when available. *** #### Does it extract reviews? Yes. When available, the scraper collects review score, review count and review rating text. *** #### Does it extract room information? Yes. The scraper can collect room names and bed information displayed in the search results. *** #### Does it extract hotel images? Yes. The output can contain multiple image URLs for each hotel. *** #### Are residential proxies recommended? Yes. **Residential proxies are strongly recommended**, especially when using `us.trip.com`. *** #### Is coding required? No. Everything runs directly through Apify. Simply provide your Trip.com search URLs and configure the maximum number of hotels. *** #### Can I export the data? Yes. Apify supports JSON, CSV, Excel, XML, HTML and RSS exports. *** ## ⚠️ Disclaimer This tool is an independent data extraction solution and is **not affiliated with Trip.com**. *** ## πŸ”— Related Actors We are building the complete **PrimeScrape Travel & Hospitality Intelligence Suite**. More premium hotel, travel, accommodation, tourism, marketplace, and hospitality data scrapers are coming soon. πŸš€ Stay tuned. *** ## 🌍 PrimeScrape Ecosystem Built for large-scale data extraction, automation, AI datasets, and business intelligence. 🏨 Hotel Intelligence ✈️ Travel Analytics 🌍 Tourism Research πŸ’° Price Monitoring πŸ“Š Hospitality Analytics πŸ“ˆ Market Research πŸ€– AI Training Datasets βš™οΈ Automation Pipelines 🌐 Public Data Extraction *** ## πŸ“¬ Support ⭐⭐⭐⭐⭐ If this scraper saves you time, please leave a review. For enterprise scraping solutions, custom Apify Actors, or large-scale hotel and travel data projects, feel free to contact **PrimeScrape**. # Actor input Schema ## `bulkUrls` (type: `array`): One or more Trip.com hotel-list search URLs to scrape. Each URL is its own independent search (Trip.com's results load via scrolling, not page numbers) β€” the scraper scrolls each one until maxItemsPerUrl is reached. Examples: πŸ—Ό Tokyo, Dec 18-30 2026: https://us.trip.com/hotels/list?city=228\&provinceId=0\&countryId=78\&checkIn=2026-12-18\&checkOut=2026-12-30\&lat=0\&lon=0\&districtId=0\&barCurr=USD\&searchType=CT\&crn=1\&adult=2\&children=0\&domestic=false 🍺 Munich, Feb 10-13 2027: https://us.trip.com/hotels/list?flexType=1\&fixedDate=0\&cityId=363\&provinceId=10058\&districtId=0\&countryId=28\&cityName=Munich\&searchType=CT\&checkin=2027-02-10\&checkout=2027-02-13\&crn=1\&adult=2\&curr=USD\&locale=en-US ## `maxItemsPerUrl` (type: `integer`): Maximum number of hotel listings to collect per URL ## `proxy` (type: `object`): Residential US proxies are strongly recommended for us.trip.com. ## Actor input object example ```json { "bulkUrls": [ "https://us.trip.com/hotels/list?city=228&provinceId=0&countryId=78&checkIn=2026-12-18&checkOut=2026-12-30&lat=0&lon=0&districtId=0&barCurr=USD&searchType=CT&crn=1&adult=2&children=0&domestic=false" ], "maxItemsPerUrl": 40, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "bulkUrls": [ "https://us.trip.com/hotels/list?city=228&provinceId=0&countryId=78&checkIn=2026-12-18&checkOut=2026-12-30&lat=0&lon=0&districtId=0&barCurr=USD&searchType=CT&crn=1&adult=2&children=0&domestic=false" ], "maxItemsPerUrl": 40, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/trip-com-hotels-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "bulkUrls": ["https://us.trip.com/hotels/list?city=228&provinceId=0&countryId=78&checkIn=2026-12-18&checkOut=2026-12-30&lat=0&lon=0&districtId=0&barCurr=USD&searchType=CT&crn=1&adult=2&children=0&domestic=false"], "maxItemsPerUrl": 40, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/trip-com-hotels-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "bulkUrls": [ "https://us.trip.com/hotels/list?city=228&provinceId=0&countryId=78&checkIn=2026-12-18&checkOut=2026-12-30&lat=0&lon=0&districtId=0&barCurr=USD&searchType=CT&crn=1&adult=2&children=0&domestic=false" ], "maxItemsPerUrl": 40, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call delectable_incubator/trip-com-hotels-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,delectable_incubator/trip-com-hotels-scraper-low-cost" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/qBOjxaUb6ivReaAYO/builds/i6FwWqOrpImaiHEHl/openapi.json