Tripadvisor Hotels Scraper

What does Tripadvisor Hotels Scraper do?

Tripadvisor Hotels Scraper collects structured hotel listings from public TripAdvisor destination pages. Add one or more TripAdvisor Hotels URLs, set the number of results you need, and receive hotel names, ratings, review totals, rankings, prices, offers, addresses, coordinates, amenities, descriptions, contact details, awards, images, and review summaries when published.

The Actor is designed for travel market research, hotel competitor analysis, destination studies, hospitality lead generation, price comparison, and data enrichment. It follows hotel results beyond the first visible group, removes repeated sponsored or organic properties, and omits empty values from saved records.

Why use Tripadvisor Hotels Scraper?

• Collect larger destination datasets - Gather results across multiple result pages instead of stopping after the first few hotel groups.
• Compare hotel performance - Analyze ratings, review volume, destination ranking, awards, accommodation type, and visible pricing.
• Get property details in one record - Receive addresses, coordinates, phone numbers, amenities, descriptions, neighborhoods, and photos when available.
• Study hotel offers - Compare lowest prices, offer counts, providers, currencies, payment timing, and rate attributes.
• Keep data clean - Duplicate hotels, null values, blank strings, invalid numeric ranges, and control characters are filtered before output.
• Automate recurring research - Schedule runs, export datasets, use webhooks, or connect results to spreadsheets and other systems.

What data can you extract from TripAdvisor?

Each dataset item represents one unique hotel. Optional fields are omitted when TripAdvisor does not publish a value.

Hotel identity and review fields

Field	Type	Description
item_type	String	Record category, currently hotel_shelf_listing.
source_url	String	TripAdvisor Hotels URL used for the result.
geo_id	Integer	TripAdvisor destination identifier.
api_variant	String	Source result family used for the record.
hotel_result_key	String	Result identifier supplied for the listing.
location_id	Integer	Unique TripAdvisor hotel identifier.
hotel_name	String	Hotel or property name.
hotel_url	String	Direct TripAdvisor hotel page URL.
rating	Number	Average guest rating from 0 to 5.
reviews_count	Integer	Published review total.
rating_histogram	Object	Review totals grouped by five, four, three, two, and one stars.
sub_ratings	Object	Category ratings such as cleanliness, location, rooms, service, sleep quality, and value.
review_snippet	Object	A published review excerpt with title, rating, date, reviewer, and URL when available.

Ranking, property, and location fields

Field	Type	Description
listing_position_on_shelf	Integer	Position encountered in the destination result sequence.
ranking_type_text	String	Human-readable destination ranking.
ranking_position	Integer	Numeric ranking position.
ranking_out_of	Integer	Number of properties represented by the ranking context.
accommodation_type	String	Property type, such as Hotel.
accommodation_category	String	TripAdvisor accommodation category.
star_rating_tag_ids	Array	Published star-rating classification tag identifiers.
full_address	String	Complete formatted hotel address.
street_1	String	Primary street address.
street_2	String	Secondary street address when published.
city	String	City name.
state	String	State or region when published.
postal_code	String	Postal code.
country	String	Country name.
latitude	Number	Latitude between -90 and 90.
longitude	Number	Longitude between -180 and 180.
parent_geo_name	String	Parent destination name.
neighborhoods	Array	Neighborhoods or areas containing the hotel.
country_id	Integer	TripAdvisor country identifier.
iso_country_code	String	ISO country code.

Price, offer, content, and media fields

Field	Type	Description
lowest_price	String	Lowest displayed price.
lowest_offer	String	Compatibility field containing the lowest displayed offer.
offer_count	Integer	Total number of offers found.
available_offer_count	Integer	Number of currently available offers.
primary_offers	Array	Offer details such as provider, price, currency, availability, and payment timing.
secondary_offers	Array	Additional offer details when available.
price_range	Object	Published minimum and maximum property price range.
price_range_usd	Object	Published price range expressed in US dollars.
amenities	Array	Highlighted amenity names.
amenity_details	Array	Amenity names, tag identifiers, and icons.
hotel_description	String	Published hotel description or property summary.
phone	String	Hotel telephone number.
email	String	Hotel email address when publicly supplied.
best_award_type	String	Active award type.
best_award_year	Integer	Active award year.
thumbnail_url	String	Hotel image URL.
thumbnail_width	Integer	Maximum source image width.
thumbnail_height	Integer	Maximum source image height.
thumbnail_caption	String	Image caption when published.
thumbnail_lang	String	Image language code.
merchandising_labels	Array	Labels such as sponsored placement or breakfast inclusion.
special_offer	Object	Published hotel special-offer details.
is_sponsored	Boolean	Whether the encountered result was sponsored.
is_smb_or_kasm	Boolean	Published property account classification flag.

How to use Tripadvisor Hotels Scraper

1. Open the Actor in Apify Console.
2. Add one or more public TripAdvisor Hotels destination URLs to startUrls.
3. Set results_wanted to the maximum number of unique hotels to save.
4. Set max_pages high enough for the requested result count.
5. Optionally configure Apify Proxy for routing consistency.
6. Start the run and inspect the dataset preview.
7. Download the results or connect the dataset to your workflow.

Use a canonical destination URL containing -g<geoId>-, for example https://www.tripadvisor.com/Hotels-g293974-Istanbul-Hotels.html.

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array of strings	No	Istanbul sample URL	One or more TripAdvisor Hotels destination or listing URLs.
results_wanted	Integer	No	20	Maximum number of unique hotel records to save across all URLs.
max_pages	Integer	No	5	Maximum number of result pages to request for each URL. Each page normally contributes up to 30 new organic hotels plus possible sponsored placements.
proxyConfiguration	Object	No	Proxy disabled	Optional Apify Proxy configuration for network routing.

Usage Examples

Basic destination extraction

Collect up to 20 hotels from Istanbul using the default page limit.

{
  "startUrls": [
    "https://www.tripadvisor.com/Hotels-g293974-Istanbul-Hotels.html"
  ],
  "results_wanted": 20,
  "max_pages": 5
}

Collect more than the first hotel group

Collect up to 100 unique hotels. A five-page limit is normally enough for this request, although available totals vary by destination.

{
  "startUrls": [
    "https://www.tripadvisor.com/Hotels-g293974-Istanbul-Hotels.html"
  ],
  "results_wanted": 100,
  "max_pages": 5
}

Compare multiple destinations

Collect hotels from Istanbul and Dubai in one run.

{
  "startUrls": [
    "https://www.tripadvisor.com/Hotels-g293974-Istanbul-Hotels.html",
    "https://www.tripadvisor.com/Hotels-g295424-Dubai_Emirate_of_Dubai-Hotels.html"
  ],
  "results_wanted": 150,
  "max_pages": 8,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

Sample Output

The following shortened example reflects the actual dataset structure. More optional fields may appear when published.

{
  "item_type": "hotel_shelf_listing",
  "source_url": "https://www.tripadvisor.com/Hotels-g293974-Istanbul-Hotels.html",
  "geo_id": 293974,
  "location_id": 8364987,
  "hotel_name": "Romance Istanbul Hotel",
  "hotel_url": "https://www.tripadvisor.com/Hotel_Review-g293974-d8364987-Reviews-Romance_Istanbul_Hotel-Istanbul.html",
  "rating": 5,
  "reviews_count": 6752,
  "ranking_type_text": "#4 of 2,619 hotels in Istanbul",
  "ranking_position": 4,
  "accommodation_type": "Hotel",
  "lowest_price": "$121",
  "offer_count": 4,
  "available_offer_count": 3,
  "full_address": "Hudavendigar Cd. No:5, Istanbul 34110 Türkiye",
  "latitude": 41.01264,
  "longitude": 28.977962,
  "amenities": [
    "Pool",
    "Spa",
    "Restaurant",
    "Bar/Lounge"
  ],
  "hotel_description": "Charming hotel in Istanbul's old town with Ottoman-style decor and convenient access to historic sites.",
  "phone": "+90 212 512 86 76",
  "rating_histogram": {
    "five": 6120,
    "four": 410,
    "three": 120,
    "two": 48,
    "one": 54
  },
  "is_sponsored": false
}

Tips for best results

• Use complete TripAdvisor Hotels URLs containing the destination geo ID.
• Start with results_wanted: 20 to review the available fields before requesting a larger dataset.
• Allow roughly one page for every 25 to 30 unique hotels. Sponsored repeats can reduce the number of new records on a page.
• Increase max_pages when requesting hundreds of hotels or when the destination contains repeated promoted listings.
• Use separate source URLs for separate destinations so records are easy to group and compare.
• Optional fields are omitted rather than saved as null when TripAdvisor does not publish them.
• Report changed source behavior through the Actor's Issues tab with the input URL and run details.

Integrations and export formats

• Apify API - Start runs and retrieve hotel datasets programmatically.
• Google Sheets - Export records for filtering, comparison, and reporting.
• Airtable - Build a searchable hotel research database.
• Webhooks - Notify downstream systems when a run finishes.
• Make or Zapier - Send results into no-code workflows.
• JSON, CSV, Excel, and XML - Download data in formats suited to analysis and system imports.

Frequently Asked Questions

Can I collect more than 48 hotels from one destination?

Yes. Set results_wanted above 48 and provide a sufficient max_pages value. The Actor follows successive result pages and removes repeated hotels before saving them.

Can I scrape hotels from multiple cities?

Yes. Add multiple destination URLs to startUrls. The Actor processes them until it reaches the requested total or exhausts the configured page limits.

Why are some optional fields absent?

TripAdvisor does not publish every field for every hotel. Empty and null values are omitted so exported records remain clean.

Does the Actor collect individual reviews?

No. It collects hotel listings, review totals, rating summaries, sub-ratings, and an available review snippet. Use a dedicated reviews Actor for full individual review datasets.

Can I export TripAdvisor hotel data to CSV or Excel?

Yes. Apify datasets support CSV, Excel, JSON, XML, and other export formats.

Can I schedule recurring hotel collection?

Yes. Create an Apify schedule to run hourly, daily, weekly, or at another interval, then send results to a dataset, webhook, or integration.

Is it legal to scrape TripAdvisor data?

You are responsible for complying with TripAdvisor's terms, applicable laws, privacy requirements, and restrictions on data use. Collect public data only for legitimate purposes.

Related Actors

• Tripadvisor Reviews Scraper - Collect individual hotel reviews, ratings, guest feedback, and review metadata.
• Agoda Hotels Scraper - Collect hotel listings, prices, availability, ratings, and property details from Agoda.

Support

For issues, feature requests, or changed TripAdvisor behavior, use the Issues tab on the Actor page. Include the input URL, run details, and the unexpected field or result count.

Legal Notice

This Actor is intended for legitimate collection of publicly available hotel listing information. Users are responsible for complying with applicable laws, website terms, privacy obligations, and responsible data-use practices.