# TripAdvisor Reviews Scraper - Low-costπŸ’²πŸ”₯🏨⭐ (`delectable_incubator/tripadvisor-reviews-scraper-low-cost`) Actor Scrape hotel reviews from TripAdvisor 🏨⭐ with a powerful travel review scraper. Extract ratings, review titles, text, stay dates, trip types, helpful votes, reviewer details, management responses & hotel information. Perfect for hospitality research, reputation analysis & review datasets πŸ“ŠβœˆοΈ - **URL**: https://apify.com/delectable\_incubator/tripadvisor-reviews-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

TripAdvisor Reviews Scraper

*** ## 🏨⭐ TripAdvisor Reviews Scraper | Hotel Review Scraper | Bulk URL Scraper | Apify Actor ### πŸš€ Extract TripAdvisor Hotel Reviews in Seconds (No Code) The **TripAdvisor Reviews Scraper (Apify Actor)** is a powerful, scalable, and SEO-optimized scraping solution designed to extract **public hotel reviews from TripAdvisor** using hotel review page URLs. Collect structured review data including **ratings, review titles, review text, publication dates, stay dates, trip types, helpful votes, additional ratings, reviewer information, management responses, hotel names, review URLs, and source URLs**. Perfect for **hotel reputation research, hospitality intelligence, customer feedback analysis, competitor research, travel market analysis, sentiment analysis, review datasets, AI datasets, and automation**. *** ## πŸ”₯ Why This TripAdvisor Reviews Scraper? βœ” Powerful TripAdvisor Reviews Scraper on Apify βœ” Supports Bulk Hotel Review URLs βœ” Hotel Review Page Scraping βœ” Automatic Pagination βœ” Next Page Navigation βœ” Detailed Review Information βœ” Star Ratings βœ” Review Titles βœ” Full Review Text βœ” Publication Dates βœ” Stay Dates βœ” Trip Types βœ” Helpful Votes βœ” Additional Ratings βœ” Reviewer Information βœ” Reviewer Contributions βœ” Management Responses βœ” Hotel Information βœ” Direct Review URLs βœ” Source URLs βœ” Fast & Scalable Extraction βœ” JSON / CSV / Excel Ready βœ” No Coding Required *** ## 🎯 What This Scraper Does This Apify Actor extracts public hotel reviews from **TripAdvisor Hotel\_Review pages**. Each provided hotel review URL is processed independently. The scraper automatically clicks through the **Next** pagination button to discover additional review pages. The extraction continues until **maxitems** is reached or no more review pages are available. You can provide **one or multiple TripAdvisor hotel review URLs** in a single run. *** ## πŸ“Œ Supported Input The scraper accepts TripAdvisor hotel review page URLs such as: πŸ”— Hotel Review Pages 🏨 Hotel-Specific Review Pages πŸ“„ TripAdvisor Hotel\_Review URLs Example: ``` https://www.tripadvisor.com/Hotel_Review-g293974-d14930175-Reviews-Sheraton_Istanbul_City_Center-Istanbul.html ``` Example: ``` https://www.tripadvisor.com/Hotel_Review-g293974-d8413771-Reviews-Crowne_Plaza_Istanbul_Florya_by_IHG-Istanbul.html ``` ⚠️ URLs must be from **tripadvisor.com**. *** ## ⚑ Input Configuration ### πŸ”₯ BULK URL MODE ``` { "urls": [ "https://www.tripadvisor.com/Hotel_Review-g293974-d14930175-Reviews-Sheraton_Istanbul_City_Center-Istanbul.html", "https://www.tripadvisor.com/Hotel_Review-g293974-d8413771-Reviews-Crowne_Plaza_Istanbul_Florya_by_IHG-Istanbul.html" ], "maxitems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` Simply add one or multiple **TripAdvisor hotel review URLs**. Each URL is processed independently and returns up to **maxitems** reviews. *** ## πŸ“Š Extracted Data | Field | Description | | ------------------------ | --------------------------- | | reviewId | Unique review ID | | rating | Review rating | | title | Review title | | text | Full review text | | publishedDate | Review publication date | | stayDate | Date of stay | | tripType | Type of trip | | helpfulVotes | Number of helpful votes | | additionalRatings | Additional/sub-ratings | | authorDisplayName | Reviewer display name | | authorHometown | Reviewer hometown | | authorContributions | Reviewer contribution count | | managementResponseText | Management response | | managementResponseAuthor | Management response author | | locationName | Hotel name | | reviewUrl | Direct review URL | | sourceUrl | Original TripAdvisor URL | *** ## ⭐ Review Information Extract detailed information about each TripAdvisor review: πŸ†” Review ID ⭐ Rating 🏷️ Review Title πŸ“ Review Text πŸ“… Published Date πŸ—“οΈ Stay Date ✈️ Trip Type πŸ‘ Helpful Votes πŸ“Š Additional Ratings *** ## πŸ‘€ Reviewer Information When available, the scraper extracts information about the review author: πŸ‘€ Display Name 🏠 Hometown πŸ“Š Contributions This data can be useful for **reviewer analysis, customer research, and hospitality intelligence**. *** ## 🏨 Hotel Information The scraper identifies the hotel associated with each review: 🏨 Hotel Name πŸ”— Hotel Review URL 🌐 Source URL This allows you to connect each review directly to its corresponding hotel. *** ## πŸ’¬ Management Responses When available, the scraper extracts management responses associated with reviews: πŸ’¬ Response Text πŸ‘€ Response Author This is useful for analyzing: 🏨 Hotel Reputation Management πŸ’¬ Customer Service Responses πŸ“Š Management Engagement ⭐ Hospitality Quality *** ## πŸ“Š Ratings & Feedback The scraper can collect: ⭐ Overall Rating πŸ“Š Additional Ratings πŸ‘ Helpful Votes πŸ“ Review Content These fields can be used for: ⭐ Reputation Analysis πŸ“ˆ Hotel Benchmarking πŸ“Š Guest Satisfaction Research πŸ”Ž Competitor Analysis *** ## πŸ”„ Automatic Pagination TripAdvisor hotel reviews are distributed across multiple pages. The Actor automatically: 1. Opens each provided TripAdvisor hotel review URL. 2. Loads the available reviews. 3. Extracts review information. 4. Processes subsequent review pages. 5. Continues until **maxitems** is reached. 6. Stops when no additional pages are available. No manual pagination is required. *** ## πŸ’‘ Use Cases Perfect for: 🏨 Hotel Reputation Research ⭐ Hotel Review Analysis πŸ“Š Hospitality Intelligence πŸ”Ž Competitor Research ✈️ Travel Market Research πŸ“ˆ Guest Satisfaction Analysis πŸ’¬ Customer Feedback Analysis 🧠 Sentiment Analysis 🏨 Hotel Benchmarking πŸ“Š Review Trend Analysis πŸ€– AI Training Datasets πŸ“‹ Review Dataset Building βš™οΈ Automation Workflows *** ## πŸš€ Key Features ⚑ Bulk Hotel URL Support 🏨 Hotel Review Scraping ⭐ Ratings Extraction πŸ“ Review Text Extraction 🏷️ Review Titles πŸ“… Publication Dates πŸ—“οΈ Stay Dates ✈️ Trip Types πŸ‘ Helpful Votes πŸ“Š Additional Ratings πŸ‘€ Reviewer Information πŸ’¬ Management Responses 🏨 Hotel Information πŸ”— Review URLs 🌐 Source URLs πŸ”„ Automatic Pagination πŸ“Š Structured Output 🌐 Residential Proxy Support 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 ``` { "reviewId": "123456789", "rating": "5", "title": "Excellent hotel and great service", "text": "We had a wonderful stay. The staff were friendly and the hotel was very comfortable.", "publishedDate": "2026-08-18", "stayDate": "2026-08-10", "tripType": "Couples", "helpfulVotes": "12", "additionalRatings": { "location": "5", "cleanliness": "5", "service": "5", "value": "4" }, "authorDisplayName": "John", "authorHometown": "London, United Kingdom", "authorContributions": "25", "managementResponseText": "Thank you for your wonderful feedback.", "managementResponseAuthor": "Hotel Management", "locationName": "Example Hotel Istanbul", "reviewUrl": "https://www.tripadvisor.com/ShowUserReviews-g293974-d123456-r123456789", "sourceUrl": "https://www.tripadvisor.com/Hotel_Review-g293974-d123456-Reviews-Example_Hotel-Istanbul.html" } ``` *** ## πŸ”₯ Why Use This TripAdvisor Reviews Scraper? βœ” Bulk Hotel Review URLs βœ” Automatic Pagination βœ” Next Page Navigation βœ” Detailed Review Metadata βœ” Ratings & Sub-Ratings βœ” Review Titles & Text βœ” Publication & Stay Dates βœ” Trip Type βœ” Helpful Votes βœ” Reviewer Information βœ” Management Responses βœ” Hotel Identification βœ” Direct Review URLs βœ” Source URLs βœ” Structured Export-Ready Data βœ” Residential Proxy Support βœ” Scalable Apify Infrastructure *** ## πŸ’Έ Pricing This scraper runs on a **pay-per-result** pricing model. You only pay for successfully extracted hotel reviews. **πŸ’³ Price: $1.98 / 1,000 reviews** *** ## ❓ FAQ #### Can I scrape multiple TripAdvisor hotel URLs? Yes. The Actor supports **bulk hotel review URLs**, allowing you to process multiple hotels in a single run. *** #### Can I scrape reviews from a specific hotel? Yes. Simply provide the hotel's **TripAdvisor Hotel\_Review URL**. *** #### Does the scraper automatically paginate? Yes. The Actor automatically clicks the **Next** button and processes subsequent review pages until **maxitems** is reached or no more pages exist. *** #### Does it extract review ratings? Yes. The scraper extracts the review **rating** and available **additionalRatings**. *** #### Does it extract the full review text? Yes. The scraper extracts the available **text** and **title** of each review. *** #### Does it extract stay dates? Yes. When available, the scraper extracts the **stayDate** associated with the review. *** #### Does it extract trip types? Yes. The scraper can extract the **tripType** associated with the review. *** #### Does it extract helpful votes? Yes. The **helpfulVotes** field contains the available helpful vote count. *** #### Does it extract reviewer information? Yes. When available, the scraper extracts the reviewer's **display name, hometown, and contributions**. *** #### Does it extract management responses? Yes. When available, the scraper extracts both the **management response text** and **management response author**. *** #### Does it extract hotel information? Yes. The **locationName** field identifies the hotel associated with each review. *** #### Can I scrape thousands of reviews? Yes. Increase **maxitems** and provide multiple hotel review URLs to scale your extraction. *** #### Are proxies supported? Yes. The Actor supports Apify Proxy configuration, including **residential proxies**. *** #### Is coding required? No. Everything runs directly through Apify. Simply provide your TripAdvisor hotel review URLs and configure the maximum number of reviews. *** #### 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 TripAdvisor**. Users are responsible for complying with TripAdvisor's Terms of Service and all applicable laws and regulations when collecting and using publicly available data. *** ## πŸ”— Related Actors We are building the complete **PrimeScrape Travel & Hospitality Intelligence Suite**. More premium hotel, travel, review, hospitality, and tourism data scrapers are coming soon. πŸš€ Stay tuned. *** ## 🌍 PrimeScrape Ecosystem Built for large-scale data extraction, automation, AI datasets, and business intelligence. 🏨 Hotel Intelligence ⭐ Review Analytics ✈️ Travel Intelligence πŸ“Š Hospitality Analytics πŸ”Ž Competitor Research πŸ’¬ Customer Feedback 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 travel and hospitality data projects, feel free to contact **PrimeScrape**. # Actor input Schema ## `urls` (type: `array`): List of TripAdvisor Hotel\_Review page URLs to scrape reviews from. Examples: https://www.tripadvisor.com/Hotel\_Review-g293974-d14930175-Reviews-Sheraton\_Istanbul\_City\_Center-Istanbul.html https://www.tripadvisor.com/Hotel\_Review-g293974-d8413771-Reviews-Crowne\_Plaza\_Istanbul\_Florya\_by\_IHG-Istanbul.html The scraper clicks through pagination (Next) until maxitems is reached or no more pages exist. ⚠️ URLs must be from tripadvisor.com. ## `maxitems` (type: `integer`): Maximum number of reviews to collect per URL. ## `proxyConfiguration` (type: `object`): Proxies to use for the requests. ## Actor input object example ```json { "urls": [ "https://www.tripadvisor.com/Hotel_Review-g293974-d8413771-Reviews-Crowne_Plaza_Istanbul_Florya_by_IHG-Istanbul.html", "https://www.tripadvisor.com/Hotel_Review-g293974-d3384227-Reviews-Barcelo_Istanbul-Istanbul.html" ], "maxitems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "urls": [ "https://www.tripadvisor.com/Hotel_Review-g293974-d8413771-Reviews-Crowne_Plaza_Istanbul_Florya_by_IHG-Istanbul.html", "https://www.tripadvisor.com/Hotel_Review-g293974-d3384227-Reviews-Barcelo_Istanbul-Istanbul.html" ], "maxitems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/tripadvisor-reviews-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.tripadvisor.com/Hotel_Review-g293974-d8413771-Reviews-Crowne_Plaza_Istanbul_Florya_by_IHG-Istanbul.html", "https://www.tripadvisor.com/Hotel_Review-g293974-d3384227-Reviews-Barcelo_Istanbul-Istanbul.html", ], "maxitems": 50, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/tripadvisor-reviews-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 '{ "urls": [ "https://www.tripadvisor.com/Hotel_Review-g293974-d8413771-Reviews-Crowne_Plaza_Istanbul_Florya_by_IHG-Istanbul.html", "https://www.tripadvisor.com/Hotel_Review-g293974-d3384227-Reviews-Barcelo_Istanbul-Istanbul.html" ], "maxitems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call delectable_incubator/tripadvisor-reviews-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/tripadvisor-reviews-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/9Lr9tdveHVwlqCHLt/builds/Tbxr45IKhDioBnRJh/openapi.json