🌍 TripAdvisor Reviews Scraper & Extractor

📊 Extract TripAdvisor reviews, ratings, traveler profiles, photos, and owner responses into a structured dataset.

Turn TripAdvisor listing pages into structured Apify datasets for analytics, AI enrichment, reputation monitoring, market research, and travel intelligence workflows.

💰 Cost-efficient TripAdvisor scraping on Apify

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🚀 Why Use This TripAdvisor Scraper?

TripAdvisor contains millions of hotel, restaurant, and attraction reviews, but collecting them manually is slow and inconsistent.

This actor automatically extracts structured review data ready for dashboards, spreadsheets, BI tools, LLM pipelines, and internal analytics systems.

Perfect for:

• 📊 Market research
• 🏨 Hotel analytics
• 🍽 Restaurant insights
• 🤖 AI sentiment analysis
• 📢 Reputation monitoring
• 📈 Competitor benchmarking
• 🌍 Travel data platforms

⚡ Fast extraction
🧾 Structured dataset output
💸 Cost-efficient scraping

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🔍 Features

🔎 Flexible Search Options

Scrape reviews using:

• 🔗 TripAdvisor listing URLs
• 🔢 Numeric TripAdvisor location IDs
• 📍 Place names

Example queries:

Disneyland Paris
189258
https://www.tripadvisor.com/Attraction_Review-g1182377-d189258-Reviews-Disneyland_Paris.html

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⭐ Complete Review Extraction

Extract detailed review information such as:

• ⭐ Rating
• 🏷 Review title
• 📝 Full review text
• 👍 Like count
• 📅 Published date
• 💡 Review tips
• 🌐 Review language
• 🔁 Translation status

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👤 Reviewer Profile Data

Capture reviewer details such as:

• 👤 Username
• 🖼 Avatar
• 🌍 Hometown
• 📊 Contribution count
• ✔ Verified status
• 🔗 Profile link

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🧳 Trip Context

Understand the travel context behind each review.

Includes:

• 👨‍👩‍👧‍👦 Traveler type
• 📅 Visit or stay date

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💬 Owner Responses

When available, the scraper extracts:

• 🏢 Business owner responses
• 📅 Response date
• 📝 Response text
• 🔗 Owner profile link

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🖼 Review Photos

Extract all review media images from TripAdvisor reviews.

Images appear in the Apify Review Media output view, making them easy to inspect and export.

Useful for:

• 🌍 Travel datasets
• 🧠 Image analysis
• 🔎 Visual QA workflows
• 🤖 AI vision models

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🎯 Powerful Filtering

Collect exactly the reviews you need.

Filter by:

• ⭐ Rating
• 👨‍👩‍👧‍👦 Traveler type
• 📅 Month of visit
• 🔑 Keyword
• 📆 Date
• 🌐 Language
• 🌎 Locale

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💡 Best Use Cases

This TripAdvisor scraper is ideal for:

🏨 Hotel review scraping
🍽 Restaurant review scraping
🎡 Attraction review scraping
📊 Travel industry research
📢 Reputation monitoring
🤖 AI sentiment analysis
📈 Competitor benchmarking
🌐 Multilingual review datasets

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📥 Input Overview

The actor accepts a JSON configuration object.

Only one field is required.

Required Input

Field	Type	Description
queries	array	TripAdvisor URLs, place IDs, or place names

Example:

{
  "queries": ["Disneyland Paris"]
}

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⚙ Optional Parameters

Field	Type	Default	Description
reviewsPerPlace	integer	100	Maximum reviews to keep per location
parseAllReviews	boolean	false	Scrape all available reviews
sortBy	string	most_recent	Sorting mode: most_recent or detailed_reviews
ratingIs	array	[]	Filter by rating
travelerType	array	[]	Filter traveler type
monthsOfVisit	array	[]	Filter by visit month
keyword	string	""	Keyword search in review title or body
since	string	""	Keep reviews on or after a date
lang	string	""	Review language filter
locale	string	en-US	TripAdvisor locale
delaySeconds	number	1.2	Base request delay

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📘 Input Explanation

queries

This is the main field. Each item can be:

• a full TripAdvisor listing URL
• a numeric TripAdvisor location ID
• a place name that TripAdvisor can resolve

You can pass multiple values in one run.

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reviewsPerPlace

Use this when you want a fixed cap on the number of reviews returned for each location.

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parseAllReviews

Enable this when you want to paginate through all available reviews instead of stopping at the per-place limit.

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sortBy

Controls ordering:

• most_recent → newest reviews first
• detailed_reviews → TripAdvisor alternative ordering

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ratingIs

Use this to keep only selected star ratings.

Example:

"ratingIs": ["4", "5"]

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travelerType

Supported values:

• business
• couples
• family
• friends
• solo

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monthsOfVisit

Supported values:

• jan, feb, mar, apr, may, jun
• jul, aug, sep, oct, nov, dec

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keyword

Keeps reviews whose title or body contains the keyword.

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since

Date filter format:

YYYY-MM-DD

Example:

"since": "2026-01-01"

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lang

Examples:

"lang": "en"

"lang": "en,fr"

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locale

TripAdvisor content can vary by locale.

Examples:

• en-US
• en-GB
• fr-FR
• de-DE
• ja-JP

---

delaySeconds

Increase this if you want a slower and gentler request pattern.

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🧪 Example Inputs

Minimal Example

{
  "queries": [
    "https://www.tripadvisor.com/Attraction_Review-g1182377-d189258-Reviews-Disneyland_Paris.html"
  ]
}

---

Fixed Number of Reviews

{
  "queries": ["189258"],
  "reviewsPerPlace": 50,
  "sortBy": "most_recent"
}

---

Filtered Reviews

{
  "queries": ["189258"],
  "reviewsPerPlace": 100,
  "ratingIs": ["4", "5"],
  "travelerType": ["family"],
  "monthsOfVisit": ["jan", "feb"],
  "keyword": "service",
  "since": "2026-01-01"
}

---

Multiple Locations

{
  "queries": [
    "Disneyland Paris",
    "Eiffel Tower"
  ],
  "parseAllReviews": true
}

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📤 Output Structure

Each dataset item contains a structured review object.

Example output:

{
  "review_id": 1052445295,
  "title": "Amazing experience",
  "rating": 5,
  "text": "Magical visit with family...",
  "language": "en",
  "trip": {
    "trip_type": "family",
    "stay_date": "2026-03-31"
  },
  "reviewer": {
    "username": "Traveler123",
    "contribution_count": 12,
    "hometown": {
      "location_name_detailed": "London, United Kingdom"
    }
  },
  "images": [
    "https://dynamic-media-cdn.tripadvisor.com/media/photo.jpg"
  ]
}

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📊 Output Views in Apify

The actor includes optimized dataset views.

📄 Reviews Overview
Main table with review data.

🖼 Review Media
Displays extracted review images.

🔎 Review Details
Full nested metadata.

📈 Run Summary
Statistics and query status.

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🔎 SEO Keywords

This actor helps extract:

• TripAdvisor reviews scraper
• TripAdvisor review API alternative
• TripAdvisor hotel review scraper
• TripAdvisor restaurant review scraper
• TripAdvisor attraction review scraper
• TripAdvisor dataset extractor
• Apify TripAdvisor scraper

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🖼 Suggested Actor Thumbnail

For better Apify Store click-through rates, use a thumbnail like:

TripAdvisor
Review Scraper

⭐ Reviews
👤 Users
🖼 Photos
📊 Dataset

Suggested palette:

• Green
• White
• Yellow accents

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⚠ Notes

• TripAdvisor responses may vary by locale
• Some reviews include images or owner responses
• Available fields depend on the listing
• Large runs may take longer when parseAllReviews is enabled

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📜 Responsible Use

Please ensure your usage follows:

• TripAdvisor terms
• Local laws
• Data regulations