Tripadvisor Scraper - Hotels, Restaurants, Reviews

Here is one real result, with the fields the actor returns (amenities, images and reviews arrays trimmed for space):

{
  "query": "Novotel Paris Les Halles",
  "category": "hotels",
  "placeType": "hotel",
  "type": "hotel",
  "name": "Novotel Paris Les Halles",
  "tripadvisorUrl": "https://www.tripadvisor.com/Hotel_Review-g187147-d197424-Reviews-Novotel_Paris_Les_Halles-Paris_Ile_de_France.html",
  "webUrl": "https://www.tripadvisor.com/Hotel_Review-g187147-d197424-Reviews-Novotel_Paris_Les_Halles-Paris_Ile_de_France.html",
  "locationId": "197424",
  "locationString": "Ile-de-France, Paris",
  "overallRating": 4.3,
  "reviewCount": 7489,
  "rankingPosition": 215,
  "rankingDenominator": 1885,
  "rankingString": "#215 of 1,885 hotels in Paris",
  "ratingCount1": 145,
  "ratingCount2": 228,
  "ratingCount3": 690,
  "ratingCount4": 2263,
  "ratingCount5": 4163,
  "travelersChoice": true,
  "awards": ["Certificate of Excellence"],
  "subratingCleanliness": 4.3,
  "subratingLocation": 4.7,
  "subratingService": 4.3,
  "subratingValue": 3.9,
  "subratingRooms": 4,
  "subratingSleepQuality": 4.2,
  "priceLevel": "$$",
  "priceRange": "$$ (Based on Average Nightly Rates for a Standard Room from our Partners)",
  "addressStreet": "8 Place Marguerite de Navarre",
  "addressCity": "Paris",
  "addressPostalCode": "75001",
  "addressCountry": "FR",
  "address": "8 Place Marguerite de Navarre, Paris, 75001, FR",
  "latitude": 48.861023,
  "longitude": 2.346508,
  "amenities": ["Free High Speed Internet (WiFi)", "Fitness Center with Gym / Workout Room", "Bar / lounge"],
  "image": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2b/31/e2/f0/autour-de-l-hotel.jpg",
  "images": ["https://dynamic-media-cdn.tripadvisor.com/media/photo-o/04/94/89/33/l-empire-paris.jpg"],
  "photoCount": 2094,
  "ancestorLocations": ["Europe", "France", "Ile-de-France"],
  "reviewsReturned": 3,
  "reviews": [
    {
      "reviewId": "1074731544",
      "rating": 5,
      "title": "Beautiful as usual",
      "text": "I had a great experience at Novotel Paris Les Halles during my latest stay. The hotel has been beautifully renovated since my last visit...",
      "publishedDate": "2026-08-24",
      "tripDate": "2026-08-31",
      "tripType": "SOLO",
      "author": "Mahmoud T",
      "authorContributions": 3,
      "helpfulVotes": 0,
      "ownerResponse": null
    }
  ],
  "source": "tripadvisor.com",
  "observedAt": "2026-08-25T22:01:53.010Z"
}

The most complete Tripadvisor scraper available. It returns every field a Tripadvisor place page exposes, including the exact ranking, the full rating histogram, sub-ratings, awards, photos and full reviews, plus derived fields such as canonical URL, price level and ancestor locations, and gives you filters to target exactly the hotels, restaurants and attractions you need.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• How we compare
• Quickstart
• Input reference
• Output reference
• Run via API and CLI
• Billing and limits
• FAQ and troubleshooting
• More scrapers

What it does

Give it a city and a category (hotels, restaurants, attractions, or all three), a list of searches, or exact place URLs, and it returns one clean row per place with:

• Identity: name, place type, category, canonical URL, location id, ancestor locations
• Reputation: overall rating, review count, exact ranking (position and denominator), rating histogram (1 to 5 star counts), sub-ratings (cleanliness, location, service, value, rooms, sleep quality for hotels; food, service, value for restaurants), awards and Travellers' Choice
• Price: price level ($ to $$$$) and the price range as shown
• Contact and location: full address (street, city, state, postal code, country), phone, website, email when listed, latitude and longitude
• Category detail: amenities for hotels, cuisines and opening hours for restaurants, hotel class and room count when listed
• Media: primary image, a gallery of photo URLs, and the total photo count
• Reviews (optional add-on): title, text, per-review rating, published date, trip date, trip type, author, author contribution count, helpful votes and owner response
• AI place summary (optional add-on): vibe, who it is best for, highlights and overall sentiment

Filters let you target by minimum rating, price level, cuisine or amenity, and reviews by minimum star, language and sort order.

How we compare

Objective comparison of the direct Tripadvisor scrapers on the Apify Store (data gathered from their public listings; adoption figures fluctuate). We concede honestly where a competitor is cheaper or more widely adopted.

Capability	scrapers_lat/tripadvisor-scraper	maxcopell/tripadvisor + tripadvisor-reviews	thewolves/tripadvisor-reviews-scraper	epctex/tripadvisor-scraper	scrapemint/tripadvisor-scraper
Hotels	Yes	Yes	Reviews only	Yes	Yes
Restaurants	Yes	Yes	Reviews only	Yes	Yes
Attractions	Yes	Yes	Reviews only	Yes	Yes
Reviews	Yes (built in)	Yes (separate actor)	Yes	No	Snippets only
Places + full reviews in one actor	Yes	No (two actors)	No	No	Partial
Rating histogram	Yes	Yes	No	No	Yes
Sub-ratings	Yes	3 (reviews actor)	6	No	6
Awards / Travellers' Choice	Yes	Yes	No	No	Yes
Photos + photo count	Yes	Yes	No	Partial	Yes
Place-level filters (min rating, price, cuisine, amenity)	Yes	Partial	No	No	Yes (min rating)
Multi-location per run	Yes	Yes	Yes	Yes	Yes
No charge on failed or empty runs	Yes	Varies	Varies	Rental	Varies
Adoption	Newer, growing	Highest (14k+ / 9k+ users)	Growing (1k+ users)	Low	New / unproven
Price	Pay per result	$2.00 / 1,000 places, $0.90 / 1,000 reviews	$0.50 / 1,000 reviews (cheapest reviews)	$20 / month rental	$10 / 1,000 places (most expensive)

Where competitors win: maxcopell has by far the most adoption and reviews, and uniquely offers B2B leads enrichment with employee emails; thewolves is the cheapest reviews-only option and advertises the fastest review throughput; scrapemint also exposes guests/rooms filters. Where we win: hotels, restaurants, attractions and full reviews in a single run, with the widest set of valid output fields (histogram plus six-field sub-ratings plus awards plus photos plus canonical URL plus ancestor locations) and place-level filters, billed only for results actually returned.

Quickstart

Search a city for hotels, keep only well-rated ones, and attach reviews with full details:

{
  "locationQuery": "Barcelona",
  "category": "hotels",
  "maxResults": 20,
  "minRating": 4,
  "includeReviews": true,
  "maxReviews": 5,
  "reviewsSort": "recent"
}

Scrape exact places by URL:

{
  "detailUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g187147-d197424-Reviews-Novotel_Paris_Les_Halles-Paris_Ile_de_France.html"
  ],
  "includeReviews": true,
  "maxReviews": 10
}

Input reference

Name	Type	Required	Description
locationQuery	string	no	A city or place to search, e.g. Barcelona
searchQueries	array	no	Multiple locations or free-text searches in one run
category	string	no	hotels, restaurants, attractions, or all
detailUrls	array	no	Exact Tripadvisor place URLs to scrape
maxResults	integer	no	Max places across the run (free plans capped at 10)
minRating	number	no	Keep places rated at or above this (0 to 5)
minPriceLevel	integer	no	Keep places at or above this price level (1 to 4)
maxPriceLevel	integer	no	Keep places at or below this price level (1 to 4)
cuisines	array	no	Keep restaurants matching any of these cuisines
amenities	array	no	Keep hotels matching any of these amenities
checkInDate	string	no	YYYY-MM-DD hotel rate context (best effort)
checkOutDate	string	no	YYYY-MM-DD hotel rate context (best effort)
guests	integer	no	Adult guests for hotel rate context
rooms	integer	no	Rooms for hotel rate context
language	string	no	Preferred content language code (best effort)
currency	string	no	Preferred currency code (best effort)
includeReviews	boolean	no	Attach reviews and full details (paid add-on, off by default)
maxReviews	integer	no	Max reviews per place
reviewsSort	string	no	recent or helpful
minReviewRating	integer	no	Keep reviews with at least this star (1 to 5)
reviewLanguage	string	no	Keep reviews in this two-letter language code
aiPlaceSummary	boolean	no	Add an AI summary per place (paid add-on, off by default)

Output reference

Name	Type	Description
name	string	Place name
placeType / type	string	hotel, restaurant or attraction
category	string	Category searched
tripadvisorUrl / webUrl	string	Tripadvisor page URL (canonical)
locationId	string	Tripadvisor location id
locationString	string	City / region string
ancestorLocations	array	Parent locations (country, region, city)
overallRating	number	Overall rating out of 5
reviewCount	integer	Total number of reviews
rankingPosition / rankingDenominator / rankingString	integer / integer / string	Exact ranking within category and location
ratingCount1 to ratingCount5	integer	Rating histogram: number of 1 to 5 star reviews
travelersChoice	boolean	Holds a Travellers' Choice award
awards	array	Tripadvisor awards
subratingCleanliness / subratingLocation / subratingService / subratingValue / subratingRooms / subratingSleepQuality	number	Hotel sub-ratings
subratingFood / subratingAtmosphere	number	Restaurant sub-ratings
priceLevel / priceRange	string	Price level ($ to $$$$) and displayed range
addressStreet / addressCity / addressState / addressPostalCode / addressCountry / address	string	Address parts and full address
phone / email / website	string	Contact details when listed
latitude / longitude	number	Coordinates
amenities	array	Amenities (hotels)
cuisines / subcategories	array	Cuisines and tags (restaurants)
acceptsReservations	boolean	Accepts reservations (restaurants)
hotelClass / numberOfRooms	number / integer	Star class and room count when listed
hours	array	Opening hours (day and time ranges)
image / images / photoCount	string / array / integer	Primary photo, gallery URLs, total photo count
reviews	array	Reviews: title, text, rating, publishedDate, tripDate, tripType, author, authorContributions, helpfulVotes, language, ownerResponse, reviewId
aiVibe / aiBestFor / aiHighlights / aiSentiment	string / array	AI summary fields (AI add-on)
source / observedAt	string	Data source and collection timestamp

Run via API and CLI

Start a run via the API:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~tripadvisor-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"locationQuery":"Barcelona","category":"hotels","maxResults":20,"minRating":4}'

Or with the Apify CLI:

$apify call scrapers_lat/tripadvisor-scraper --input '{"locationQuery":"Rome","category":"attractions","maxResults":10}'

Fetch results

$curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_TOKEN&format=json"

Billing and limits

You are billed per place returned. Optional add-ons (reviews and AI summary) are off by default and are charged only when they actually return data. Failed or empty runs are never charged. Free Apify plans are capped at 10 places per run, and the paid add-ons run only on paid plans. A spend cap (maxTotalChargeUsd) stops the run once your limit is reached. You never provide logins, keys or proxies; anti-bot handling is fully managed for you.

FAQ and troubleshooting

Which places can it scrape? Hotels, restaurants and attractions (things to do) for any Tripadvisor destination worldwide, by location search or by direct URL.

How do I get the rich fields (sub-ratings, histogram, awards, reviews)? Turn on Include Reviews, or pass exact place URLs. Those paths fetch each place's detail page, which carries the full data. A plain location search without Include Reviews returns the core fields fast and cheaply.

Do I need reviews? Reviews are an optional add-on. When enabled, the top reviews are attached to each place along with sub-ratings, histogram, awards, images and amenities.

Are live nightly hotel rates included? Check-in, check-out, guests and rooms are passed as context. Live partner nightly rates are not always exposed for scraping, so those specific values may be absent; all other fields are returned.

Is login or a proxy required? No. You provide a location or URLs, and everything else is handled internally.

What format is the output? A flat table you can export to JSON, CSV or Excel, or read from the dataset API.

More scrapers at scrapers.lat

• Yelp Business Leads & Reviews Scraper
• Glassdoor Company Ratings, Reviews & Salary Scraper

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Built by scrapers.lat. This actor collects publicly available information only and is not affiliated with, endorsed by, or sponsored by Tripadvisor.