# PriceTravel Hotels Scraper - Low-costπŸ’²πŸ”₯🏨🌎 (`delectable_incubator/pricetravel-hotels-scraper-low-cost`) Actor 🏨✈️ Extract hotel listings from PriceTravel with ease. Collect hotel names, locations, star ratings, total prices, taxes, review scores, review counts, amenities, room details, and hotel URLs. Ideal for travel market research, hospitality analytics, competitor tracking & accommodation datasets πŸ“Š - **URL**: https://apify.com/delectable\_incubator/pricetravel-hotels-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Automation, Travel, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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

PriceTravel Stays Scraper

--- ## 🏨🌎 PriceTravel Hotels & Stays Scraper | Bulk Hotel Data Extraction | Apify Actor ### πŸš€ Extract PriceTravel Hotel Listings in Seconds (No Code) The **PriceTravel Hotels Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized hotel scraping tool** designed to extract hotel listings, accommodation details, pricing information, reviews, ratings, and travel intelligence directly from PriceTravel.com. Whether you're building a travel comparison platform, monitoring hotel prices, creating AI datasets, performing hospitality market research, or collecting accommodation data at scale, this actor provides structured and export-ready hotel datasets with no coding required. --- ### πŸ”₯ Why This PriceTravel Scraper? βœ” Best PriceTravel scraper on Apify βœ” Supports **Bulk URL Scraping (Multi-URL Mode)** βœ” Fast & scalable hotel data extraction βœ” Extract hotel prices, ratings, reviews & amenities βœ” Structured JSON / CSV / Excel output βœ” Perfect for travel intelligence & hospitality analytics βœ” AI-ready accommodation datasets βœ” No coding required --- ### 🎯 What This Scraper Does (Hotel & Travel Data Extraction) This actor extracts **real-time hotel listings and accommodation data directly from PriceTravel destination and search result pages.** #### πŸ“Œ Core Features βœ… Scrape hotel listings from PriceTravel βœ… Bulk URL support (SEO BOOST πŸš€) βœ… Automatic pagination handling βœ… Extract hotel prices & total stay costs βœ… Extract ratings, reviews & review counts βœ… Extract hotel images βœ… Extract hotel URLs βœ… Extract cancellation policies βœ… Extract booking highlights βœ… Extract location & destination information βœ… Clean structured output βœ… High-speed extraction engine --- ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ BULK URL MODE (SEO BOOST πŸš€) ```` { "urls": \[ "https://www.pricetravel.com/en/stays-in-new-york\_d55976?adults=2\&checkin=2026-06-17\&checkout=2026-06-21\&group\_adults=2\&no\_rooms=1", "https://www.pricetravel.com/en/stays-in-las-vegas\_d55419?adults=2\&checkin=2026-06-17\&checkout=2026-06-21\&group\_adults=2\&no\_rooms=1", "https://www.pricetravel.com/en/stays-in-miami\_d55911?adults=2\&checkin=2026-06-17\&checkout=2026-06-21\&group\_adults=2\&no\_rooms=1" ], "max\_items": 500 } ``` --- ### πŸ“Š Extracted Hotel Data (Structured Output) | Field | Description | | ----------------- | ------------------------ | | product_id | Unique hotel identifier | | name | Hotel name | | url | Hotel detail page URL | | location | Destination / city | | stars | Hotel star rating | | review_score | Average review score | | review_label | Review quality label | | review_count | Number of reviews | | price_per_night | Price per night | | taxes | Taxes & fees | | total_price | Total booking price | | free_cancellation | Cancellation policy | | highlights | Hotel booking highlights | | image_url | Main hotel image | | image_count | Number of images | | source_url | Original search URL | --- ### πŸ’‘ Use Cases (High Demand SEO Keywords) This PriceTravel scraper is ideal for: 🏨 Hotel data scraping 🌎 Travel market intelligence πŸ“Š Hotel pricing analysis ✈️ Travel aggregation platforms πŸ’° Hotel price monitoring πŸ“ˆ Hospitality market research πŸ€– AI travel datasets 🧠 Hotel recommendation engines πŸ“‘ Competitive hotel intelligence ⚑ Bulk accommodation data extraction --- ### πŸš€ Key Features (Apify SEO Optimized) ⚑ Bulk URL scraping support 🏨 Hotel listing extraction 🌍 Global destination coverage πŸ“Œ Automatic pagination 🧠 Structured hotel datasets πŸ“Š High-speed extraction engine πŸ” Auto retry system πŸ’Ύ Export-ready datasets βš™οΈ Scalable cloud execution πŸš€ Enterprise-ready architecture --- ### πŸ“€ Output Formats Supported βœ” JSON βœ” CSV βœ” Excel XLSX βœ” XML βœ” HTML βœ” API Integrations --- ### πŸ“¦ Example Output ``` { "product\_id": "301215", "name": "DoubleTree by Hilton New York Times Square West", "url": "https://www.pricetravel.com/en/hotel/doubletree-by-hilton-new-york-times-square-west\_a301215", "location": "New York", "stars": "4", "review\_score": "7.2", "review\_label": "Good", "review\_count": "1664", "price\_per\_night": "$305 USD", "taxes": "$49", "total\_price": "$1414 USD", "free\_cancellation": "No", "highlights": "No prepayment needed", "image\_url": "https://img.cdnpth.com/media/301215/example.png", "image\_count": "5", "source\_url": "https://www.pricetravel.com/en/stays-in-new-york\_d55976" } ```` --- ### πŸ”₯ Why This is the BEST PriceTravel Scraper on Apify? βœ” Optimized for Apify search ranking βœ” High-performance hotel scraping engine βœ” Bulk URL support βœ” Clean structured hotel datasets βœ” Enterprise-grade scalability βœ” Travel industry ready βœ” AI dataset friendly βœ” Perfect for marketplace visibility --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted hotel records. πŸ’³ **Price: $8.99 / 1,000 results** --- ### ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple PriceTravel URLs at once? Yes β€” bulk URL mode is fully supported. #### Does the scraper handle pagination? Yes β€” pagination is automatically managed. #### Can I extract hotel prices? Yes β€” nightly prices, taxes and total booking costs are extracted. #### Can I export the data? Yes β€” JSON, CSV, Excel, XML and HTML are supported. #### Is coding required? No β€” this is a fully no-code Apify Actor. #### Can I use the data for travel analytics? Absolutely. The scraper is designed for hospitality intelligence, travel analytics and AI datasets. --- ### ⚠️ Disclaimer This tool is not affiliated with, endorsed by, or sponsored by PriceTravel.com. It is an independent data extraction solution developed for public web data collection and analysis. --- ### πŸ”— Related Actors (Travel & Data Intelligence Ecosystem) We are building the full **PrimeScrape Travel Intelligence Suite**. πŸ‘‰ More travel, hotel, tourism and market intelligence scrapers coming soon. --- ### 🌍 PrimeScrape Ecosystem Built for large-scale: 🏨 Hotel data extraction ✈️ Travel intelligence πŸ“Š Market analytics πŸ€– AI datasets πŸ“ˆ Competitive research βš™οΈ Automation pipelines 🌎 Tourism industry monitoring --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper. πŸ“© Contact us for custom scraping solutions, enterprise deployments, travel intelligence projects, or large-scale data extraction needs. πŸš€ PrimeScrape β€” Professional Data Extraction at Scale. # Actor input Schema ## `urls` (type: `array`): List of PriceTravel.com destination or search page URLs to scrape. One URL per entry. Examples: https://www.pricetravel.com/en/stays-in-new-york_d55976?adults=2&checkin=2026-06-17&checkout=2026-06-21&group_adults=2&no_rooms=1 https://www.pricetravel.com/en/stays-in-las-vegas_d55419?adults=2&checkin=2026-06-17&checkout=2026-06-21&group_adults=2&no_rooms=1 ## `max_items` (type: `integer`): Maximum number of hotel listings to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.pricetravel.com/en/stays-in-dallas_d54515?adults=2&checkin=2026-11-03&checkout=2026-11-20&group_adults=2&no_rooms=1", "https://www.pricetravel.com/en/stays-in-las-vegas_d55419?adults=2&checkin=2026-06-17&checkout=2026-06-21&group_adults=2&no_rooms=1" ], "max_items": 60 } ```` # Actor output Schema ## `overview` (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 = { "urls": [ "https://www.pricetravel.com/en/stays-in-dallas_d54515?adults=2&checkin=2026-11-03&checkout=2026-11-20&group_adults=2&no_rooms=1", "https://www.pricetravel.com/en/stays-in-las-vegas_d55419?adults=2&checkin=2026-06-17&checkout=2026-06-21&group_adults=2&no_rooms=1" ], "max_items": 60 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/pricetravel-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 = { "urls": [ "https://www.pricetravel.com/en/stays-in-dallas_d54515?adults=2&checkin=2026-11-03&checkout=2026-11-20&group_adults=2&no_rooms=1", "https://www.pricetravel.com/en/stays-in-las-vegas_d55419?adults=2&checkin=2026-06-17&checkout=2026-06-21&group_adults=2&no_rooms=1", ], "max_items": 60, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/pricetravel-hotels-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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 '{ "urls": [ "https://www.pricetravel.com/en/stays-in-dallas_d54515?adults=2&checkin=2026-11-03&checkout=2026-11-20&group_adults=2&no_rooms=1", "https://www.pricetravel.com/en/stays-in-las-vegas_d55419?adults=2&checkin=2026-06-17&checkout=2026-06-21&group_adults=2&no_rooms=1" ], "max_items": 60 }' | apify call delectable_incubator/pricetravel-hotels-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/pricetravel-hotels-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PriceTravel Hotels Scraper - Low-costπŸ’²πŸ”₯🏨🌎", "description": "🏨✈️ Extract hotel listings from PriceTravel with ease. Collect hotel names, locations, star ratings, total prices, taxes, review scores, review counts, amenities, room details, and hotel URLs. Ideal for travel market research, hospitality analytics, competitor tracking & accommodation datasets πŸ“Š", "version": "0.0", "x-build-id": "3bTnThKx8hv556P5C" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~pricetravel-hotels-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-pricetravel-hotels-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~pricetravel-hotels-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-pricetravel-hotels-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~pricetravel-hotels-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-pricetravel-hotels-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "urls" ], "properties": { "urls": { "title": "Search / Destination URLs πŸ”—", "type": "array", "description": "List of PriceTravel.com destination or search page URLs to scrape. One URL per entry.\n\nExamples:\nhttps://www.pricetravel.com/en/stays-in-new-york_d55976?adults=2&checkin=2026-06-17&checkout=2026-06-21&group_adults=2&no_rooms=1\nhttps://www.pricetravel.com/en/stays-in-las-vegas_d55419?adults=2&checkin=2026-06-17&checkout=2026-06-21&group_adults=2&no_rooms=1", "items": { "type": "string" } }, "max_items": { "title": "Maximum results per URL πŸ”’", "type": "integer", "description": "Maximum number of hotel listings to scrape per URL.", "default": 60 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```