Tripadvisor Scraper: Reviews, Places, Hotels & Restaurants

Scrape Tripadvisor places and reviews by search query or direct listing URL. Get structured data for hotels, restaurants, attractions, tours, and travel market research: ratings, review text, dates, photos, contact fields, addresses, coordinates, owner replies, and source URLs.

Built for people who need clean travel data fast: review monitoring, competitor research, lead lists, BI dashboards, and reputation analysis.

What You Get

• 🏨 Places: hotels, restaurants, attractions, tours, activities, and cruise pages
• ⭐ Reviews: text, title, star rating, published date, trip type, date of visit
• 💬 Owner replies: response text and response metadata when Tripadvisor exposes it
• 📍 Location data: address, city, region, country, latitude, longitude
• ☎️ Contacts: phone, website, Tripadvisor URL
• 🖼️ Photos: main image and photo URLs when available
• 🔎 Search context: source query, source URL, location IDs, category
• 🧾 Diagnostics: clear error rows and run summary when the input needs attention

How It Works

Search query or direct URL
        |
        v
Tripadvisor place page
        |
        +--> Place row: name, rating, address, phone, photos, coordinates
        |
        +--> Review rows: review text, rating, title, date, reviewer, owner reply
        |
        v
Output views: Results, Places, Reviews, Contacts, Photos, Errors, Run summary

Data Relationship

Every review is tied back to the right Tripadvisor listing.

place
  locationId: 12714552
  name: Pizzeria Arrivederci
  url: https://www.tripadvisor.com/Restaurant_Review-...

  review
    reviewId: 1067262325
    placeName: Pizzeria Arrivederci
    placeUrl: https://www.tripadvisor.com/Restaurant_Review-...
    locationId: 12714552

  review
    reviewId: 1017053857
    placeName: Pizzeria Arrivederci
    placeUrl: https://www.tripadvisor.com/Restaurant_Review-...
    locationId: 12714552

Scrape Modes

Mode	Best for	Main output
Places + contacts + reviews + photos	Full market research, competitor audits, review exports	Place rows + review rows
Places, contacts & photos only	Lead lists, directories, location research	One row per place
Reviews only	Reputation monitoring, sentiment analysis, review datasets	One row per review

Quick Start

1. Choose What to scrape.
2. Add Search query or city, for example Paris restaurants, or paste Direct Tripadvisor URLs.
3. Set Max places per search.
4. Set Reviews per place if you need review text.
5. Run the Actor.
6. Open Output and choose the view you need: Results, Places, Reviews, Contacts, Photos, Errors, or Run summary.

Example Inputs

Full city research

Use this when you want places and review text together.

{
  "scrapeMode": "full",
  "searchQueries": ["Paris restaurants"],
  "category": "restaurants",
  "maxPlacesPerQuery": 5,
  "maxReviewsPerPlace": 10,
  "locale": "en-US"
}

Hotels and contact fields only

Use this for lead lists or travel directories.

{
  "scrapeMode": "places",
  "searchQueries": ["New York City hotels"],
  "category": "hotels",
  "maxPlacesPerQuery": 25,
  "locale": "en-US"
}

Reviews from exact Tripadvisor URLs

Use this when you already know the listing pages.

{
  "scrapeMode": "reviews",
  "startUrls": [
    {
      "url": "https://www.tripadvisor.com/Restaurant_Review-g187147-d12714552-Reviews-Pizzeria_Arrivederci-Paris_Ile_de_France.html"
    }
  ],
  "maxReviewsPerPlace": 50,
  "locale": "en-US"
}

Recent low-rating review monitoring

Use this for reputation checks and customer support workflows.

{
  "scrapeMode": "reviews",
  "startUrls": [
    {
      "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
    }
  ],
  "maxReviewsPerPlace": 100,
  "reviewRatings": ["1", "2"],
  "recentDays": 90
}

Attractions in a city

Use this for tourism analysis and itinerary products.

{
  "scrapeMode": "full",
  "searchQueries": ["London attractions"],
  "category": "attractions",
  "maxPlacesPerQuery": 10,
  "maxReviewsPerPlace": 5
}

Output Views

The default dataset contains your selected results. The Actor also provides ready-made views so you do not have to clean the table manually.

View	What it is for
Results	Best first look across mixed place and review rows
Places	Place profile fields: name, category, rating, reviews, address, phone, photos
Contacts	Phone, website, address, city, region, country, rating, Tripadvisor URL
Reviews	Review text, rating, title, dates, reviewer, owner response, source URLs
Photos	Main image and photo-related fields
Errors	Input or run diagnostics. Empty means the run was clean
Run summary	Counters, status, dataset ID, runtime, and diagnostic totals

Output Schema

Default dataset
  |
  +-- place rows
  |     recordType
  |     name / displayName
  |     category
  |     rating
  |     reviewCount
  |     priceRange
  |     phone
  |     website
  |     address, city, region, country
  |     latitude, longitude
  |     imageUrl, images
  |     url
  |
  +-- review rows
  |     recordType
  |     reviewId
  |     reviewUrl
  |     title
  |     text
  |     rating
  |     publishedDate / publishedDateText
  |     dateOfStay
  |     tripType
  |     reviewerName
  |     reviewerLocation
  |     ownerResponseText
  |     placeName
  |     placeUrl
  |     locationId
  |
  +-- diagnostic rows
        recordType
        kind
        error
        actionNeeded
        sourceUrl

Example Place Row

{
  "recordType": "place",
  "name": "Pizzeria Arrivederci",
  "category": "restaurant",
  "rating": 4.9,
  "reviewCount": 6471,
  "priceRange": "$$ - $$$",
  "phone": "+33 1 77 32 45 57",
  "address": "47 rue Gay Lussac, Paris, Ile-de-France, 75005, FR",
  "city": "Paris",
  "region": "Ile-de-France",
  "country": "FR",
  "latitude": 48.84172,
  "longitude": 2.343511,
  "imageUrl": "https://dynamic-media-cdn.tripadvisor.com/...",
  "url": "https://www.tripadvisor.com/Restaurant_Review-..."
}

Example Review Row

{
  "recordType": "review",
  "reviewId": "1067262325",
  "placeName": "Pizzeria Arrivederci",
  "placeUrl": "https://www.tripadvisor.com/Restaurant_Review-...",
  "locationId": 12714552,
  "rating": 5,
  "title": "Amazing",
  "text": "Very good pizza. Friendly staff.",
  "publishedDateText": "July 6, 2026",
  "publishedDate": "2026-07-06",
  "dateOfStay": "Jul 2026",
  "tripType": "Family",
  "reviewerName": "Katrien C",
  "reviewUrl": "https://www.tripadvisor.com/ShowUserReviews-..."
}

Input Fields

Field	Description
scrapeMode	Choose full, places, or reviews
searchQueries	Keyword searches like Paris restaurants, New York City hotels, London attractions
startUrls	Direct Tripadvisor listing URLs
category	all, hotels, restaurants, or attractions
maxPlacesPerQuery	Maximum listings to save per search query
includeReviews	Enables review collection in compatible modes
maxReviewsPerPlace	Maximum reviews to collect per listing
reviewRatings	Optional filter for 1, 2, 3, 4, or 5 star reviews
recentDays	Keep only recent reviews when exact dates are available
locale	Output locale/language for Tripadvisor pages
maxConcurrency	Advanced speed control for larger runs
requestDelayMs	Optional delay between requests for large batches
maxRetries	Retry budget for temporary page errors

Result Planning

The Actor charges by saved result. A saved place row or review row is one result.

Places only:
  25 places = up to 25 results

Full mode:
  10 places + 10 reviews per place = up to 110 results

Reviews only:
  1 listing + 500 reviews = up to 500 review results

For a first run, a comfortable test is:

{
  "maxPlacesPerQuery": 5,
  "maxReviewsPerPlace": 10
}

Then scale up once the output shape looks right.

Missing Fields

Tripadvisor does not expose every field on every listing. Some pages have a phone number but no website. Some reviews have owner replies, many do not. Some hotels expose amenities, while many restaurant pages do not.

The Actor keeps this honest: empty values are omitted instead of filled with fake placeholders. In Apify table views, this means field percentages reflect real availability. In All fields, missing values may appear as undefined; that simply means Tripadvisor did not provide that field for that row.

Common Use Cases

• 🧠 Hospitality and tourism market research
• 📊 Review monitoring and sentiment analysis
• 🏨 Hotel competitor benchmarking
• 🍽️ Restaurant discovery and ranking analysis
• 📍 Travel directory enrichment
• 💬 Owner response audits
• 🧾 Google Sheets, Make, Zapier, n8n, BI dashboards, and custom API pipelines

Tips

• Use direct URLs when you need exact listings.
• Use search queries when you want discovery by city or category.
• Use Reviews only for sentiment datasets and monitoring.
• Use Places only for faster lead lists.
• Keep reviewRatings empty if you want all ratings.
• Set recentDays to 0 to disable the recent-review filter.

FAQ

Can I scrape hotels, restaurants, and attractions?
Yes. Pick a category or leave it on all for mixed searches.

Can I paste exact Tripadvisor URLs?
Yes. Use startUrls for known listing pages.

Can I control how many reviews I get?
Yes. Set maxReviewsPerPlace to 1, 10, 50, 500, or any value up to the input limit.

How are reviews matched to the right place?
Each review includes place identifiers such as placeName, placeUrl, and locationId when available.

Why do I see undefined in some All fields cells?
That field was not available for that row. The Actor avoids fake placeholders so Apify percentages stay meaningful.

What if my input finds no places?
The Actor writes a diagnostic row and a Run summary instead of leaving you with a confusing empty result.

Support

When reporting an issue, include:

• Run ID
• Input JSON
• One example Tripadvisor URL or search query
• The output field that looked wrong or missing