TripAdvisor Only $0.45💰 Search | Hotels | Restaurants |Reviews
Pricing
from $0.45 / 1,000 results
💰$0.45 per 1,000 Scrape TripAdvisor hotel reviews: title, rating, language, text, dates, owner response, photos, sub-ratings, and optional reviewer profiles. Each review is enriched with place metadata (rating, address, geo, website, histogram). Filter by rating, language, date and per-place limit
Optional free-text location query, e.g. "Chicago", "Brooklyn", "London". Resolved via TripAdvisor's autocomplete GraphQL into a geoId, then expanded into venues based on the Include hotels / Include restaurants / Include things to do toggles below. Use this instead of or alongside startUrls. Leave empty to skip text-search and use only the URLs in startUrls.
Add TripAdvisor URLs to scrape reviews. Supported:
![Land.com Search [Bypass Limits] [PPE] avatar](https://images.apifyusercontent.com/mMgvkDn0UXXS7hV55869uWVo6uIfnZQ6N6JNqSj-zFo/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItQ0pPUmhEMm9DRjZIT3VZS2MtSHI5QmdEMUs3WS1sYW5kLnBuZw.webp){kind=avatar}
![Auction.com [Only 💰$1 ] Search and Details Scraper avatar](https://images.apifyusercontent.com/xFtYkH2uTRIjsg1BxitQXb-FSMN9-REAtwPgOhH7gXI/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItVGF3TDgyckw3OFVLOXJhU3gtMGg1UGxGSE1VaS1hdWN0aW9uY29tLnBuZw.webp){kind=avatar}
![Zalando [Only $1.9💰] Scraper (PPE) avatar](https://images.apifyusercontent.com/Mix2MSJ85NIscXRdtxBW4xfbsaotpBKO71rxAoVT57E/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vQUk4SW1nbEMwbEw1bzhNeGovcDVEVVhRR3dJcnBJYTRCNjEtemFsYW5kby5wbmc.webp){kind=avatar}
![Immoweb.be [Only $1.2💰] Scraper avatar](https://images.apifyusercontent.com/1JcWA-ODMCvDlYijda8M0XzzZJ8YONaG3JzjTDFd3MI/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItN2hyRXhOVGlEUnMwblBVWGgtWDl2V2k3b29DWi1pbW1vd2ViLnBuZw.webp){kind=avatar}
![Copart UK [Only $1.5💰] Search By Urls and Keywords | Auctions avatar](https://images.apifyusercontent.com/lbZyvOqEoe_OZtf_USabovHajrdOIttrSJdQO-4X5ns/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItNmdhOExjejNvVlVTYkhnS00tbks0ZE1laTB5My1jb3BhcnQuanBn.webp){kind=avatar}
Hotel_Review, Restaurant_Review, Attraction_Review URLs (…/<Type>_Review-g{geoId}-d{locationId}-Reviews-{slug}.html).Restaurants-g{geo}-…-{City}_{State}.html — HTML listing + -oa30- pagination, expanded to Restaurant_Review venues.Hotels-g{geo}-…-Hotels.html — HTML listing + -oa30- pagination, expanded to Hotel_Review venues.Attractions-g{geo}-Activities-…html — HTML listing + -oa30- pagination, expanded to Attraction_Review venues. Optional -cNN- category subfilter is preserved.FindRestaurants?geo=…&establishmentTypes=… — listing expansion calls api.tripadvisor.com AppListRestaurants (same as the TA iPhone app), then falls back to www /data/graphql/ids, then HTML link harvest if needed. maxItems still caps reviews per scraped Restaurant_Review URL (each listing produces many URLs).Examples:
https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.htmlhttps://www.tripadvisor.com/Restaurant_Review-g60763-d25324283-Reviews-Allora_Fifth_Ave-New_York_City_New_York.htmlhttps://www.tripadvisor.com/Restaurants-g35805-Chicago_Illinois.htmlhttps://www.tripadvisor.com/Hotels-g60763-New_York_City_New_York-Hotels.htmlhttps://www.tripadvisor.com/FindRestaurants?geo=188673&establishmentTypes=10591&mealTypes=10597&broadened=falseMix detail URLs and listing URLs in one run.
Maximum number of reviews to scrape per place / per URL. Applied to each entry in startUrls independently. Use 0 for unlimited (the actor will paginate every review the API exposes for that place).
When enabled, populate the user object on each review with the reviewer's profile (username, display name, avatar, hometown, profile link, contributions). When disabled, user is set to null.
When true (default), fetch reviews for each Hotel_Review / Restaurant_Review URL using TripAdvisor GraphQL (paginated), up to maxItems per place. When false, skip review pagination and emit one dataset row per place with { "placeDetailOnly": true, "placeInfo": … } extracted from the HTML page (fast, low cost).
When true (default), include placeInfo.reviewTags (theme phrases and counts) when TripAdvisor embeds them on the page. Set false to omit tags for smaller payloads.
When true, after each main place is scraped the actor expands up to 5 nearby venues from the page's nearby carousel as additional place-detail-only snapshot rows tagged with isNearbyResult: true. Reviews are NOT fetched for nearby venues. Depth is capped at 1 (no recursive expansion).
When searchQuery is set, include Attraction_Review venues for the resolved geo. Wired through the Attractions-g{geo}-Activities-…html listing expander (paginated, up to ~300 attractions per query).
When searchQuery is set, include Restaurant_Review venues for the resolved geo. Wired through the existing FindRestaurants?geo=… expansion (paginated, up to 300 venues per query).
When searchQuery is set, include Hotel_Review venues for the resolved geo. Wired through the new Hotels-g{geo}-…-Hotels.html listing expander (paginated, up to ~300 hotels per query).
Controls how reviews are returned in the dataset.
flat (default): one dataset row per review, each carrying placeInfo. Best for tabular consumers and Apify's UI.nested: one dataset row per place of the form { ...placeInfo, placeDetailOnly: false, reviews: [...] }. Best when you want a single object per hotel/restaurant with reviews nested.No effect when scrapeReviews: false — that path always emits one { placeDetailOnly: true, placeInfo } row per place.
Note on billing: under PRICE_PER_DATASET_ITEM, nested mode collapses N reviews into 1 row, so the bill drops by ~Nx. Review your actor pricing before switching the default.
Skip any review published before this date. Pick an absolute date (YYYY-MM-DD) or a relative duration like 22 days, 2 weeks, 3 months, 1 year.
Filter reviews by overall rating. Leave empty to include every rating.
[ "ALL_REVIEW_RATINGS"]Filter reviews by language (ISO 639-1 codes). Leave empty to include every language.
[ "ALL_REVIEW_LANGUAGES"]Maximum number of pages that can be processed at the same time.
Minimum number of pages that will be processed at the same time.
Number of times each failed request is retried before giving up. Lower values surface persistent failures quickly; higher values absorb transient anti-bot blocks at the cost of long-tail latency.
Specifies proxy servers that will be used by the scraper in order to hide its origin.
For details, see Proxy configuration in README.
{ "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ]}