TripAdvisor Scraper

Scrape TripAdvisor hotels, restaurants, and attractions for any destination and get back clean structured data: names, addresses, coordinates, ratings, review counts, contact details, photos, and the full geographic breadcrumb — all in JSON, ready for analysis.

Built for travel analysts, lead-gen teams, content publishers, and developers who need fresh, accurate TripAdvisor data without the hassle of writing and maintaining their own scraper.

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What you can do with it

• Hotel & restaurant market research — pull every property in a destination and compare ratings, review volumes, price tiers, and locations.
• Lead generation — extract phone numbers, websites, and structured addresses for outreach lists.
• Competitive intelligence — see where competitors rank, how many reviews they have, and what guests say in numbers.
• Map / location products — geocoded results (lat/lng) drop straight into mapping pipelines.
• Travel content sites — power your own "best hotels in X" pages with fresh data.
• AI / LLM training & retrieval — feed structured place data into RAG pipelines or recommendation systems.

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Why use this actor

• No TripAdvisor account required — operates entirely on public data.
• No CAPTCHA solving on your side — point it at a destination URL, it returns data.
• Geographic context built in — every record includes its breadcrumb (region → country → city → neighbourhood), making it easy to roll up data by area.
• Reliable structured output — 25+ fields per place, including a separate address object with street/city/region/country/postal_code.
• Three place types in one actor — hotels, restaurants, and attractions all parse into the same record shape.
• Pay only for results — straightforward per-record pricing on the Apify platform.

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How it works

1. You give the actor one or more destination URLs (the same URLs you would copy from TripAdvisor's hotels / things-to-do / restaurants list pages).
2. The actor opens each list page and extracts the full set of places it contains.
3. Each place is normalised into a clean record with its address, coordinates, rating, review count, photo, and contact details.
4. Optionally, the actor visits each place's detail page to fill in extra fields (amenities, descriptions, room counts, hours).
5. Records stream into the run's dataset as they are extracted — you can start using the data while the run is still going.

The actor handles retries and proxy rotation automatically — you do not need to configure anything beyond your input URL.

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Input

Minimum input is one destination URL.

{
  "mode": "hotels_list",
  "geo_urls": [
    "https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html"
  ],
  "enrich_from_detail": false,
  "max_results": 100,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Field	Type	Required	Description
mode	string	yes	hotels_list (recommended), tourism (mixed POI list), or hotel_detail for explicit hotel URLs
geo_urls	string[]	for list modes	Full TripAdvisor list URLs, e.g. https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html
hotel_urls	string[]	for hotel_detail	Full https://www.tripadvisor.com/Hotel_Review-... URLs
enrich_from_detail	boolean	no	When true, each list result is enriched with extra fields from its detail page (default false — keeps runs fast)
max_results	integer	no	Hard cap on records (default 50)
proxy	object	no	Apify proxy configuration; residential is recommended

How to find a destination URL:

1. Go to TripAdvisor.com.
2. Search for the destination (e.g. "Bali").
3. Click "Hotels", "Things to Do", or "Restaurants" in the navigation.
4. Copy the URL — it will look like https://www.tripadvisor.com/Hotels-g<geoId>-<Slug>-Hotels.html.

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Sample output

One record per place. Real data from a Bali hotels run:

{
  "name": "Grand Mercure Bali Seminyak",
  "type": "Hotel",
  "position": 1,
  "location_id": "25240057",
  "geo_id": "469404",
  "url": "https://www.tripadvisor.com/HotelHighlight-g469404-d25240057-Reviews-Grand_Mercure_Bali_Seminyak-Seminyak_Kuta_District_Bali.html",
  "image": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2d/b2/96/20/hotel-s-facade-overlooking.jpg?w=1200&h=-1&s=1",
  "phone": "+62 361 9342900",
  "price_range": "€",
  "address": {
    "street": "Jalan Arjuna No. 40 Seminyak Kecamatan Kuta",
    "city": "Seminyak",
    "region": null,
    "country": "Indonesia",
    "postal_code": "80361"
  },
  "lat": -8.696946,
  "lng": 115.16274,
  "rating": 4.8,
  "reviews_count": 1726,
  "best_rating": null,
  "worst_rating": null,
  "amenities": [],
  "amenity_count": 0,
  "breadcrumb": ["Asia", "Indonesia", "Bali"],
  "_source_url": "https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html"
}

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Output schema

Every result has the same fields. Unset fields are null.

Field	Type	Description
name	string	Place name
type	string	Hotel, Restaurant, TouristAttraction, Resort, LodgingBusiness
position	integer	Position in the list (1-based)
location_id	string	TripAdvisor's internal d<id>
geo_id	string	TripAdvisor's geographic g<id> for the parent location
url	string	Canonical TripAdvisor URL for the place
image	string	Primary photo URL
phone	string	Contact phone
email	string	Email if listed
price_range	string	Tier label (e.g. $, $$$, €)
description	string	Place description (often filled when detail enrichment is on)
star_rating	number	Hotel star classification (when available)
category	string / string[]	Service category — restaurants get cuisines here
address.street	string	Street address
address.city	string	City
address.region	string	Region / state
address.country	string	Country
address.postal_code	string	Postcode
lat / lng	numbers	Coordinates
rating	number	Overall rating (0–5)
reviews_count	integer	Total reviews
best_rating / worst_rating	numbers	Scale bounds
amenities	string[]	Available amenities (richer when detail enrichment is on)
amenity_count	integer	Length of amenities
pets_allowed	string / null	Pet policy text
checkin_time / checkout_time	string	Times when published
number_of_rooms	integer	For hotels (when available)
served_cuisines	string[]	For restaurants
breadcrumb	string[]	Hierarchical location chain, e.g. ["Asia", "Indonesia", "Bali"]
_source_url	string	The list URL the record was scraped from

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Tips

• The hotels-list mode is the fastest and most reliable. Use it when you want everything in a city.
• Enable enrich_from_detail only when you need amenities, descriptions, or room counts — it roughly doubles the runtime per record.
• The actor exposes results in JSON, CSV, Excel, and XML directly from the Apify console.
• Pair with the Apify Schedule feature to snapshot a destination weekly and track rating changes over time.