TripAdvisor Scraper
Get actionable business data, find customers, and track competitors with our TripAdvisor dataset.
- Hotels, restaurants, attractions, vacation rentals across every TripAdvisor region
- Live hotel pricing + offers from Expedia, Booking.com, Agoda, Hotels.com
- Full review history with owner responses, photos and reviewer profiles
4 entity types — same pipeline, one delivery
Mix and match in a single brief. The schema adapts so each row carries the fields specific to its type.
Hotels
Star class, room count, amenities, room tips, live per-night pricing with check-in / check-out dates, and offers from every booking provider on the page (Expedia, Booking.com, Hotels.com, Agoda, Priceline).
Things to Do
Sights, landmarks, outdoor activities, museums and tours. Includes subtype categories, Viator booking offers, tour itineraries, awards and the full ranking position within the destination.
Restaurants
Cuisines, dishes, meal types, hours, dietary tags, the full feature set (reservations / accessibility / WiFi / seating), menu URL and price range. Open / closed status captured live.
Cruises
Cruise operators, sailing routes, departure points, lake / river / dinner / sunset cruise types, booking offers with prices and direct booking URLs from Viator.
Inputs we accept
Send us any of these URL patterns — or just describe what you need in plain English and we'll work out the URLs.
Place details
Pull a single hotel, restaurant or attraction by its TripAdvisor URL. Fastest mode — one URL, one venue, full schema.
https://www.tripadvisor.com/Hotel_Review-g35805-d236299-Reviews-Sofitel_Chicago_Magnificent_Mile-Chicago_Illinois.html↗https://www.tripadvisor.com/Restaurant_Review-g35805-d8841948-Reviews-Monteverde-Chicago_Illinois.html↗https://www.tripadvisor.com/Attraction_Review-g35805-d103238-Reviews-Skydeck_Chicago_Willis_Tower-Chicago_Illinois.html↗
Place categories
Sweep every venue in an entire city / country / region by category. We paginate through all results so you get the full set, not just the first page.
Place categories with search filters
Same as a category sweep but filtered — by establishment type, meal type, price range, neighbourhood, etc. Whatever filters TripAdvisor's UI exposes, we can pass through.
Explore pages
TripAdvisor's destination explore pages — useful for tourism boards and OTAs benchmarking the full destination surface (top hotels + top restaurants + top attractions in one shot).
https://www.tripadvisor.com/Tourism-g60763-New_York_City_New_York-Vacations.html↗
Public trips
Curated trip pages other TripAdvisor users have shared publicly. We pull every venue inside the trip with full place-detail data per stop.
https://www.tripadvisor.com/Trips/122547544↗
How we extract tripadvisor data
The full pipeline from your brief to the final delivered file — no black box, no surprises.
1. Lock the search scope
Provide one of three inputs: search terms ('luxury hotels in Sydney'), location names ('Sydney, Australia'), or direct TripAdvisor URLs (a place page, a category page like /Hotels-g255060, a filtered search, or an explore page). For hotels, optionally pass check-in / check-out dates so we capture live availability + pricing.
2. Walk the listing pages
Our pipeline paginates through every result TripAdvisor returns for the query — across hotels, restaurants, attractions, vacation rentals, tours and things-to-do. Built-in handling for region/locality detection so the same query returns consistent results regardless of where the request originates.
3. Fetch each venue's full detail page
For every venue found, we open the full TripAdvisor place page and extract identity, location, ratings, ranking, awards, photos, amenities (or cuisines / activities depending on type), neighbourhood data and ancestor location hierarchy. Up to 100+ raw fields per venue.
4. Capture pricing and booking offers (hotels)
For hotels with date input, we extract live per-night prices, total stay cost including taxes, sale prices where applicable, and individual offers from every booking provider on the page (Expedia, Booking.com, Hotels.com, Agoda, Priceline) with their direct booking URLs.
5. Pull the full review history
Optional review pass walks every review the venue has, not just the most-recent page. Each review row includes full text, star rating, posted date, language, reviewer name + profile URL + total reviews, helpful count, photos uploaded with the review, and the owner's response if one exists.
6. Deduplicate and structure
Every venue carries TripAdvisor's stable ID (e.g. g255060-d258751) — we collapse duplicates across overlapping queries. Address fields parsed into street1, street2, city, state, country, postal_code so the file is ready for direct CRM import.
7. Deliver in your preferred format
Default delivery is a ZIP with CSV (UTF-8), XLSX (with a schema sheet) and a README. JSON / NDJSON / XML available on request, plus direct push into HubSpot, Salesforce, BigQuery, Snowflake or Postgres via our automation service.
8. Optional: schedule recurring pulls
Re-run the same query daily / weekly / monthly to track ranking position, rating drift, price movements and new review volume. We deliver only the deltas so your downstream systems stay in sync without re-importing the full file every time.
Every field captured per business
74 data points per record, grouped into 8 categories. Each is a real column in your delivered CSV/XLSX.
Identity
Stable identifiers for the venue across TripAdvisor's hierarchy.
idg255060-d258751TripAdvisor's permanent venue ID — primary keynamePark Hyatt SydneytypeHOTELHOTEL / RESTAURANT / ATTRACTION / VACATION_RENTAL / THINGS_TO_DOcategoryHotelsubcategoriesLuxury, Spa Hotel, Harbour-frontlocal_namePark Hyatt SydneyLocalised name where TripAdvisor stores onelocal_address7 Hickson Road, The Rocks NSW 2000descriptionSet on the iconic harbour with views of the Opera House...websitehttps://www.hyatt.com/en-US/hotel/australia/park-hyatt-sydneytripadvisor_urlhttps://www.tripadvisor.com/Hotel_Review-g255060-d258751-Park_Hyatt_Sydney.htmlphone+61 2 9256 1234emailreservations.parkhyattsydney@hyatt.comphoto_count847
Location
Pin-accurate address parsed into structured columns plus the full ancestor hierarchy.
address7 Hickson Road, The Rocks NSW 2000, Australiastreet17 Hickson Roadstreet2The RockscitySydneystateNew South WalescountryAustraliapostal_code2000latitude-33.857239longitude151.211868location_stringSydney, New South Wales, AustralianeighborhoodThe RocksTripAdvisor neighbourhood + neighbourhood IDancestorsSydney → New South Wales → AustraliaFull geographic hierarchy with IDs at each levelnearest_metroCircular Quay (Train) — 0.4 kmClosest transit station + line + distance
Ratings & ranking
Star rating, ranking position, awards and the full 1–5 star breakdown.
rating4.8Numeric 0.0 – 5.0raw_ranking4.8120Internal TripAdvisor ranking score for sortingranking_position3ranking_denominator245ranking_string#3 of 245 hotels in Sydneyreview_count2,140rating_histogram_51,624Number of 5-star reviews (also 4, 3, 2, 1)review_tagsharbour view (412); rooftop pool (188); spa (94)Top extracted review-tag phrases with their countsawardsTravelers' Choice 2025; Certificate of ExcellenceAll TripAdvisor awards held by the venue
Hotel-specific fields
Class, rooms, amenities, live pricing, taxes, and offers from every booking provider.
hotel_class5.0Star class TripAdvisor assignshotel_class_attributionOfficialSource of the class — official / TripAdvisor estimatenumber_of_rooms155amenitiesPool, Spa, Gym, Concierge, Restaurant, Bar, Free WiFiroom_tipsRequest a harbour-side room on floors 4 or above for the best Opera House view.check_in_date2026-05-12check_out_date2026-05-15price_per_night1,090.00 AUDtaxes_per_night108.00 AUDtotal_stay_price3,594.00 AUDsale_price990.00 AUDWhen TripAdvisor surfaces a sale priceoffersExpedia $1,090 · Booking.com $1,108 · Hotels.com $1,094All booking providers on the page with prices and direct booking URLs
Restaurant-specific fields
Cuisines, dishes, hours, dietary tags and the full TripAdvisor feature set.
cuisinesModern Australian; Seafoodmeal_typesLunch; Dinnerestablishment_typesRestaurant; Fine DiningdishesSnow crab; Wagyu; Mud crab congeeTop dishes mentioned in reviews + menufeaturesReservations; Wheelchair accessible; Free WiFi; Seatingdietary_restrictionsVegetarian friendly; Vegan options; Gluten-free optionshoursMon–Sun 18:00–22:30Weekday hour ranges with timezonemenu_urlhttps://www.quay.com.au/menu
Attractions & tours
Attraction subtype, booking offers, tour pricing and itineraries.
subtype_categoriesBridge & Tunnel; Sightseeing Toursbooking_offersBridgeClimb Sydney — Express Climb · 2.5 h · 388 AUDTour / activity offers with provider, duration and pricetour_offersWalking + climb · 1,288 AUD per group · 5 hitineraryPre-climb safety briefing → 1,332-step climb → summit photo → descentStep-by-step itinerary text where TripAdvisor publishes itduration2 h 30 min
Photos & media
Image URLs with configurable count and source filtering.
image_urlhttps://media-cdn.tripadvisor.com/media/photo-s/.../park-hyatt-sydney.jpgPrimary cover photo — full-resolutionadditional_photoshttps://...photo-1.jpg ; https://...photo-2.jpg ; ...Up to N additional photos — count configurable in the briefphoto_sourceeveryone | management | travelersFilter the photos pulled by who uploaded them
Reviews (with the Reviews add-on)
Optional full review history per venue — text, ratings, reviewer profile, owner responses.
review_id898342176Stable per-review identifierrating5review_textBest harbour-view room in Sydney — staff went above and beyond.review_date2026-03-22review_languageenreviewer_nameSarah J.reviewer_total_reviews147reviewer_helpful_votes412owner_responseThank you Sarah, we're so glad you enjoyed your stay.owner_response_date2026-03-23review_photoshttps://...review-photo-1.jpg ; https://...review-photo-2.jpg
Need a custom field that's not listed? Mention it in the quote request and we'll confirm whether the source page exposes it.
See exactly what you'll get
Live JSON returned by our pipeline — not mock data. Each tab is a different entity type from the same scraper.
One row per hotel. Full identity, location, ratings, amenities, room tips and a live offers array with every booking provider.
{
"id": "87590",
"type": "HOTEL",
"category": "hotel",
"subcategories": [
"Hotel"
],
"name": "Hilton Chicago",
"locationString": "Chicago, Illinois",
"description": "Welcome to the Hilton Chicago, Chicago's best address for business or leisure, where a $50 million rejuvenation provides you an environment where Classic meets Cool...",
"image": "https://media-cdn.tripadvisor.com/media/photo-o/28/6c/18/b7/exterior.jpg",
"photoCount": 2060,
"awards": [],
"rankingPosition": 129,
"rating": 4,
"rawRanking": 3.7853546142578125,
"phone": "18556050316",
"address": "720 South Michigan Avenue, Chicago, IL 60605-2116",
"addressObj": {
"street1": "720 South Michigan Avenue",
"street2": "",
"city": "Chicago",
"state": "IL",
"country": "United States",
"postalcode": "60605-2116"
},
"localName": "Hilton Chicago",
"localAddress": "720 South Michigan Avenue, 60605-2116",
"localLangCode": "en-US",
"email": null,
"latitude": 41.872528,
"longitude": -87.62451,
"webUrl": "https://www.tripadvisor.com/Hotel_Review-g35805-d87590-Reviews-Hilton_Chicago-Chicago_Illinois.html",
"website": "https://www.hilton.com/en/hotels/chichhh-hilton-chicago/",
"rankingString": "#129 of 220 hotels in Chicago",
"rankingDenominator": "220",
"neighborhoodLocations": [
{
"id": "7778523",
"name": "Downtown / The Loop"
},
{
"id": "15565848",
"name": "Central"
}
],
"nearestMetroStations": [
{
"name": "Harrison",
"address": "608 South State St, Chicago, IL 60605",
"lines": [
{
"lineName": "Red",
"systemName": "Chicago L",
"type": "Rapid Transit"
}
],
"latitude": 41.8741455078125,
"longitude": -87.6274642944336,
"distance": 0.1887947281557823
},
{
"name": "Harold Washington Library – State/Van Buren",
"address": "One West Van Buren St, Chicago, IL 60605",
"lines": [
{
"lineName": "Brown",
"systemName": "Chicago L",
"type": "Rapid Transit"
},
{
"lineName": "Purple",
"systemName": "Chicago L",
"type": "Rapid Transit"
},
{
"lineName": "Orange",
"systemName": "Chicago L",
"type": "Rapid Transit"
},
{
"lineName": "Pink",
"systemName": "Chicago L",
"type": "Rapid Transit"
}
],
"latitude": 41.87684631347656,
"longitude": -87.6275405883789,
"distance": 0.33697822234841623
}
],
"ancestorLocations": [
{
"id": "35805",
"name": "Chicago",
"subcategory": "City"
},
{
"id": "28934",
"name": "Illinois",
"abbreviation": "IL",
"subcategory": "State"
},
{
"id": "191",
"name": "United States",
"subcategory": "Country"
}
],
"ratingHistogram": {
"count1": 344,
"count2": 568,
"count3": 1183,
"count4": 2011,
"count5": 2611
},
"numberOfReviews": 6717,
"reviewTags": [
{
"text": "grant park",
"reviews": 520
},
{
"text": "michigan avenue",
"reviews": 242
},
{
"text": "downtown",
"reviews": 246
},
{
"text": "conference",
"reviews": 606
},
{
"text": "historic hotel",
"reviews": 198
}
],
"reviews": [],
"hotelClass": "4.0",
"hotelClassAttribution": "This property is classified according to Giata.",
"amenities": [
"Pool",
"Suites",
"Meeting rooms",
"Non-smoking rooms",
"Internet",
"Hot Tub",
"Concierge",
"Room service",
"Wheelchair access",
"Restaurant",
"Bar/Lounge",
"Pets Allowed",
"Spa",
"Wifi",
"Dry Cleaning",
"Business center",
"Fitness center",
"Banquet Room",
"Air conditioning",
"Conference Facilities",
"Safe",
"Heated pool",
"Indoor pool",
"Breakfast Available",
"Parking",
"ATM On Site",
"Baggage Storage",
"24-Hour Front Desk",
"Valet Parking",
"Accessible rooms"
],
"numberOfRooms": 1454,
"priceLevel": "$$$",
"priceRange": "$218 - $347",
"roomTips": [
{
"type": "room_tip",
"text": "Do not stay in the upgraded lake view rooms, the noise from Michigan Ave is so loud at night.",
"rating": "1",
"reviewId": "894428827",
"createdTime": "2023-06-10T22:54:30-04:00"
},
{
"type": "room_tip",
"text": "It is a big hotel! Make sure you have comfortable walking shoes!",
"rating": "5",
"reviewId": "891131987",
"createdTime": "2023-05-20T05:45:48-04:00"
}
],
"checkInDate": "2023-06-21",
"checkOutDate": "2023-06-22",
"offers": [
{
"pricePerNight": 279,
"tax": 48,
"priceText": "$279",
"taxesAndFeesText": "$49",
"totalStayPriceText": "$328",
"priceBeforeSale": null,
"provider": "Expedia",
"vendor": "Expedia.com",
"canPayInInstallments": true
},
{
"pricePerNight": 279,
"tax": 48,
"priceText": "$279",
"taxesAndFeesText": "$49",
"totalStayPriceText": "$328",
"priceBeforeSale": null,
"provider": "BookingCom",
"vendor": "Booking.com",
"canPayInInstallments": false
},
{
"pricePerNight": 167,
"tax": 45,
"priceText": "$167",
"taxesAndFeesText": "$45",
"totalStayPriceText": "$212",
"priceBeforeSale": "$290",
"provider": "Splitty",
"vendor": "Algotels",
"canPayInInstallments": false
}
]
}CSV / XLSX / NDJSON / XML available on request — same fields, your preferred format.
Download a sample of our TripAdvisor dataset
Find new clients and close more deals with the world's best business leads provider. Grab a 25-row sample CSV — same schema as the paid extracts, real records, no card required.
- · 25 real records with the full schema
- · UTF-8 CSV — opens in Excel, Sheets, Airtable
- · Documented fields and data types
- · No credit card · sent to your inbox
Why choose us for your business
The same operating principles every project, regardless of scope: flexible, secure, scalable.
Flexible
Custom-built per project. Tell us the source, the fields, the volume, the cadence — we deliver to that exact spec.
Secure
Stripe-secured checkout, GDPR-aware delivery, signed download URLs that expire. Your data and your buyers' privacy are protected end-to-end.
Scalable
From a single suburb pull to a daily multi-million-record pipeline. Same infrastructure, scaled to whatever volume you need.
How B2B Connection helps businesses with tripadvisor
Our TripAdvisor scraper covers the full platform — hotels, restaurants, attractions, vacation rentals, tours, things-to-do, and public trips. Provide search terms, location names, or direct TripAdvisor URLs (place pages, category pages, filtered searches, explore pages) and we return a clean structured dataset with everything TripAdvisor publishes per venue.
Hotel pulls include live per-night pricing with check-in / check-out dates, taxes, total stay price, and offers from every booking provider on the page (Expedia, Booking.com, Hotels.com, Agoda, Priceline). Restaurant pulls capture cuisines, dishes served, hours, menu URL and the full feature/dietary attribute set. Attraction pulls include subtypes, tour offers and itineraries.
What's included
- All venue types — hotels, restaurants, attractions, vacation rentals, tours, things-to-do, public trips
- Three input modes: search terms, location names, or direct TripAdvisor URLs
- Live hotel pricing with check-in/check-out dates, taxes, and per-provider offers
- Restaurant menu URL, cuisines, dishes, dietary tags and full feature set
- Full review history (paginated all the way back) with reviewer profile + helpful counts
- Owner / management responses captured alongside the original review
- Photo URLs with configurable count and source filtering (everyone / management / travellers)
- Regional ranking position + ranking string for time-series tracking
- Awards, hotel class, room count, neighbourhood + nearest-metro distances
Common use cases
- Hotel competitive benchmarking — rates, ratings, availability calendars
- Restaurant ranking surveillance for restaurant groups and franchises
- Tourism board market analysis across cities, regions and countries
- OTA / metasearch back-mining of historical pricing and review trends
- Sentiment and reputation monitoring for hospitality brands
- LLM training corpora — structured traveller voice across millions of venues
Why enterprises use B2B Connection
Six things our buyers consistently mention when they renew or refer us.
1,500+ clients
From SaaS vendors to global recruiters and hospitality groups, across Australia, the US and Europe.
500M+ records scraped
180M phones, 100M+ emails, deduplicated and verified across our pipelines.
Stripe-secured checkout
Card data never touches our servers. Refunds processed inside Stripe's standard 5-business-day window.
GDPR-aware delivery
Optional PII stripping for EU-bound deliveries. Data retention defaults to 30 days post-handover.
Same-day quotes
Project briefs quoted within one business day. First sample within five.
Spam Act 2003 compliant
All B2B records sourced from publicly listed business pages — inferred-consent safe under Australian and US/UK rules.
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Ready to get a quote for tripadvisor scraper?
Tell us your source, fields and timeline. We'll respond within one business day.
Frequently asked questions
Which TripAdvisor entity types do you support?
All of them — hotels, restaurants, attractions, vacation rentals, tours, things-to-do, and public trips. The same scraper handles every category; the schema adapts so hotel-specific fields appear on hotel rows, restaurant fields on restaurant rows, and so on. You can mix entity types in a single delivery.
How do I tell you what to scrape?
Three input modes — pick whichever is easiest. (1) Search terms like 'luxury hotels in Sydney' or 'best ramen in Tokyo'. (2) Location names like 'Paris, France' to sweep every venue in that area. (3) Direct TripAdvisor URLs — place pages, category index pages (e.g. /Hotels-g255060), filtered searches, or explore pages. For hotels, optionally include check-in / check-out dates so we capture live availability and per-night pricing.
Can you pull live hotel pricing?
Yes. Pass check-in / check-out dates with the brief and we extract per-night price, taxes, total stay price, sale prices where applicable, and individual offers from every booking provider on the page (Expedia, Booking.com, Hotels.com, Agoda, Priceline). Each offer comes with the provider's direct booking URL so you can deep-link straight into a booking flow.
Do you get the full review history?
With the optional reviews add-on, yes — the entire review history per venue, not just the most-recent page. Each review row includes full text (untruncated), star rating, posted date, language, reviewer profile (name, total reviews authored), helpful-vote count, photos uploaded with the review, and the owner's response if one exists.
Can you capture restaurant menu URLs and cuisine tags?
Yes. Restaurant rows include cuisines, meal types, establishment types, dishes (top mentions from reviews and menu), the full feature set (reservations, accessibility, WiFi, seating type), dietary tags (vegetarian, vegan, gluten-free) and the menu URL itself when TripAdvisor links one.
How granular is the address data?
Both raw and parsed. You get the full address string, the parsed components (street1, street2, city, state, country, postal_code), latitude / longitude, the neighbourhood name + ID, the full ancestor location hierarchy (city → state → country with IDs at each level), and the nearest metro / transit station with line name and distance.
What about ranking and awards?
Every venue carries its current ranking position (e.g. #3 of 245), the full ranking string, and the raw internal ranking score TripAdvisor uses for sorting. Awards (Travelers' Choice, Certificate of Excellence, etc.) are captured as a list. Run on a schedule to track ranking drift over time.
How are photos handled?
Each venue carries one primary image_url and an optional list of additional photo URLs — the count is configurable in the brief (default 10, can request up to 200+). You can also filter by photo source (everyone, management uploads only, traveller uploads only) — handy when you only want professional shots or only want authentic guest photos.
What format do I get the data in?
Default is a ZIP containing CSV (UTF-8, header row), XLSX (with a second sheet documenting the schema) and a README. JSON, NDJSON and XML are available on request. Direct push into HubSpot, Salesforce, Pipedrive, BigQuery, Snowflake or Postgres is available via our automation service.
Is it legal to scrape TripAdvisor?
Yes — every field we extract is publicly visible on TripAdvisor's listing pages. We respect rate limits, never extract data from behind a login, and never include private user information. Output complies with the same public-data principles as our other scraping services.
How quickly can you deliver?
3–5 business days from sign-off for most one-shot pulls including the full review history. Larger pulls (millions of venues, full review archives across multiple regions) quoted on a per-volume basis. We share a sample within 24 hours so you can verify the schema before the full extract runs.
Can you run this on a schedule?
Yes — we can re-run the same query daily, weekly or monthly and deliver only the new + changed records since the last run. Critical for ranking-position monitoring, hotel rate tracking and reputation dashboards. Scheduled runs are part of our automation service.