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🏨⭐ TripAdvisor Reviews Scraper | Hotel Review Scraper | Bulk URL Scraper | Apify Actor

🚀 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.

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🔥 Why This TripAdvisor Reviews Scraper?

✔ Powerful TripAdvisor Reviews Scraper on Apify

✔ Supports Bulk Hotel Review URLs

✔ Hotel Review Page Scraping

✔ Automatic Pagination

✔ Next Page Navigation

✔ Detailed Review Information

✔ Star Ratings

✔ Review Titles

✔ Full Review Text

✔ Publication Dates

✔ Stay Dates

✔ Trip Types

✔ Helpful Votes

✔ Additional Ratings

✔ Reviewer Information

✔ Reviewer Contributions

✔ Management Responses

✔ Hotel Information

✔ Direct Review URLs

✔ Source URLs

✔ Fast & Scalable Extraction

✔ JSON / CSV / Excel Ready

✔ No Coding Required

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🎯 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.

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📌 Supported Input

The scraper accepts TripAdvisor hotel review page URLs such as:

🔗 Hotel Review Pages

🏨 Hotel-Specific Review Pages

📄 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.

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⚡ Input Configuration

🔥 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.

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📊 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

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⭐ Review Information

Extract detailed information about each TripAdvisor review:

🆔 Review ID

⭐ Rating

🏷️ Review Title

📝 Review Text

📅 Published Date

🗓️ Stay Date

✈️ Trip Type

👍 Helpful Votes

📊 Additional Ratings

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👤 Reviewer Information

When available, the scraper extracts information about the review author:

👤 Display Name

🏠 Hometown

📊 Contributions

This data can be useful for reviewer analysis, customer research, and hospitality intelligence.

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🏨 Hotel Information

The scraper identifies the hotel associated with each review:

🏨 Hotel Name

🔗 Hotel Review URL

🌐 Source URL

This allows you to connect each review directly to its corresponding hotel.

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💬 Management Responses

When available, the scraper extracts management responses associated with reviews:

💬 Response Text

👤 Response Author

This is useful for analyzing:

🏨 Hotel Reputation Management

💬 Customer Service Responses

📊 Management Engagement

⭐ Hospitality Quality

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📊 Ratings & Feedback

The scraper can collect:

⭐ Overall Rating

📊 Additional Ratings

👍 Helpful Votes

📝 Review Content

These fields can be used for:

⭐ Reputation Analysis

📈 Hotel Benchmarking

📊 Guest Satisfaction Research

🔎 Competitor Analysis

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🔄 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.

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💡 Use Cases

Perfect for:

🏨 Hotel Reputation Research

⭐ Hotel Review Analysis

📊 Hospitality Intelligence

🔎 Competitor Research

✈️ Travel Market Research

📈 Guest Satisfaction Analysis

💬 Customer Feedback Analysis

🧠 Sentiment Analysis

🏨 Hotel Benchmarking

📊 Review Trend Analysis

🤖 AI Training Datasets

📋 Review Dataset Building

⚙️ Automation Workflows

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🚀 Key Features

⚡ Bulk Hotel URL Support

🏨 Hotel Review Scraping

⭐ Ratings Extraction

📝 Review Text Extraction

🏷️ Review Titles

📅 Publication Dates

🗓️ Stay Dates

✈️ Trip Types

👍 Helpful Votes

📊 Additional Ratings

👤 Reviewer Information

💬 Management Responses

🏨 Hotel Information

🔗 Review URLs

🌐 Source URLs

🔄 Automatic Pagination

📊 Structured Output

🌐 Residential Proxy Support

🔁 Reliable Cloud Execution

💾 Export-Ready Datasets

⚙️ Scalable Apify Actor

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📤 Export Formats

✔ JSON

✔ CSV

✔ Excel (XLSX)

✔ XML

✔ HTML

✔ RSS

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📦 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"
}

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🔥 Why Use This TripAdvisor Reviews Scraper?

✔ Bulk Hotel Review URLs

✔ Automatic Pagination

✔ Next Page Navigation

✔ Detailed Review Metadata

✔ Ratings & Sub-Ratings

✔ Review Titles & Text

✔ Publication & Stay Dates

✔ Trip Type

✔ Helpful Votes

✔ Reviewer Information

✔ Management Responses

✔ Hotel Identification

✔ Direct Review URLs

✔ Source URLs

✔ Structured Export-Ready Data

✔ Residential Proxy Support

✔ Scalable Apify Infrastructure

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💸 Pricing

This scraper runs on a pay-per-result pricing model.

You only pay for successfully extracted hotel reviews.

💳 Price: $1.98 / 1,000 reviews

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❓ 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.

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Can I scrape reviews from a specific hotel?

Yes.

Simply provide the hotel's TripAdvisor Hotel_Review URL.

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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.

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Does it extract review ratings?

Yes.

The scraper extracts the review rating and available additionalRatings.

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Does it extract the full review text?

Yes.

The scraper extracts the available text and title of each review.

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Does it extract stay dates?

Yes.

When available, the scraper extracts the stayDate associated with the review.

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Does it extract trip types?

Yes.

The scraper can extract the tripType associated with the review.

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Does it extract helpful votes?

Yes.

The helpfulVotes field contains the available helpful vote count.

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Does it extract reviewer information?

Yes.

When available, the scraper extracts the reviewer's display name, hometown, and contributions.

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Does it extract management responses?

Yes.

When available, the scraper extracts both the management response text and management response author.

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Does it extract hotel information?

Yes.

The locationName field identifies the hotel associated with each review.

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Can I scrape thousands of reviews?

Yes.

Increase maxitems and provide multiple hotel review URLs to scale your extraction.

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Are proxies supported?

Yes.

The Actor supports Apify Proxy configuration, including residential proxies.

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Is coding required?

No.

Everything runs directly through Apify.

Simply provide your TripAdvisor hotel review URLs and configure the maximum number of reviews.

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Can I export the data?

Yes.

Apify supports JSON, CSV, Excel, XML, HTML and RSS exports.

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⚠️ 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.

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🔗 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.

🚀 Stay tuned.

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🌍 PrimeScrape Ecosystem

Built for large-scale data extraction, automation, AI datasets, and business intelligence.

🏨 Hotel Intelligence

⭐ Review Analytics

✈️ Travel Intelligence

📊 Hospitality Analytics

🔎 Competitor Research

💬 Customer Feedback

🤖 AI Training Datasets

⚙️ Automation Pipelines

🌐 Public Data Extraction

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📬 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.