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Tripadvisor Review Scraper: Hotels, Restaurants & Attractions

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Try for free

Collect structured Tripadvisor review data with ease. The actor gathers review text, star ratings, timestamps, reviewer profiles, and helpful votes. Ideal for analysts, agencies, and businesses needing deep customer insights.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

API Empire

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Automation

Lead generation

Travel

🔗 TripAdvisor Property URLs, Hotel Names, or Keywords

startUrls

Required

📌 Drop one or more of the following — mix & match freely, across all 3 property types:

🌐 Direct URLs — best results, fastest extraction ↳ 🏨 Hotel: https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html ↳ 🍽️ Restaurant: https://www.tripadvisor.com/Restaurant_Review-g60864-d477685-Reviews-Crescent_City_Brewhouse-New_Orleans_Louisiana.html ↳ 🎡 Attraction: https://www.tripadvisor.com/Attraction_Review-g60763-d105127-Reviews-Central_Park-New_York_City_New_York.html

🏨 Hotel names — auto-resolved via Google Search (hotel lookup only) ↳ e.g. Hilton New York Times Square

🔍 Keywords — broader matches, may pick the most relevant hotel ↳ e.g. luxury hotel New York

💡 Tip: Direct URLs always give the most accurate results, and are required for restaurants/attractions — the name/keyword lookup only resolves hotels.

Type:string[]

Example:

[
  "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
]

📊 Maximum Reviews per URL

maxComments

Optional

🎯 How many reviews to extract from each property (hotel, restaurant, or attraction).

⚡ Small runs (1–100) → seconds 🚀 Large runs (1000+) → minutes 💎 Up to 10,000 per property — fully supported

📥 The scraper auto-paginates — no need to click 'Next Page'.

Type:integer

Minimum:1

Maximum:10000

Default:10

🔀 Review Sort Order

sortOrder

Optional

🗂️ Choose the order in which reviews are fetched.

🆕 newest — most recent first (default, best for monitoring) 📜 oldest — earliest reviews first ⭐ relevant — ⚠️ TripAdvisor does not expose a separate relevance ranking on this data source — this currently returns the exact same order as newest, shown honestly rather than as a distinct sort 🏆 rating — highest rating first

Type:string

Default:newest

Options:

newestoldestrelevantrating

🌍 Review Language

reviewsLanguages

Optional

🗣️ Pick which language to extract reviews in.

🌐 Choose All Languages to keep every locale, or pick a specific language for a focused dataset.

Type:string

Default:English

Options:

ALL_REVIEW_LANGUAGESEnglishSpanishFrenchGermanItalianPortugueseDutchRussianJapaneseKoreanChinese (Simplified)Chinese (Traditional)ArabicTurkishHebrewSwedishNorwegianDanishFinnishPolishCzechHungarianRomanianGreekThaiVietnameseIndonesianMalayHindi

⭐ Review Rating Filter

reviewRatings

Optional

🎯 Choose which star ratings to extract.

🌟 All Ratings — keep every review (default) 👍 Positive — combine 4 + 5 star reviews 👎 Negative — combine 1 + 2 star reviews 😐 Average — only 3 star reviews

Or pick a specific star count for a single-tier dataset.

Type:string

Default:ALL_REVIEW_RATINGS

Options:

ALL_REVIEW_RATINGSPOSITIVENEGATIVEAVERAGE54321

👤 Include Reviewer Profile Info

scrapeReviewerInfo

Optional

🪪 When enabled, each review row includes the full reviewer profile (name, username, location, avatar, contribution counts, profile link).

🔒 Disable for privacy-sensitive runs or when you only need review text + ratings — the user field becomes null in the output.

Type:boolean

Default:true

🏨🍽️🎡 Include Property Intelligence Block

includePropertyIntelligence

Optional

📊 When enabled, every review row includes a propertyIntelligence object: ranking text (e.g. "#285 of 525 hotels in New York City"), price range (hotel/restaurant only), hotel amenities — highlighted & non-highlighted (hotel only), telephone, official website, and hero image URL.

🏨 Amenities and 💲 price range are honestly scoped per property type — null when they genuinely don't apply (e.g. price on an attraction), never faked.

⚡ Disable for a lighter, review-only payload.

Type:boolean

Default:true

🌐 Proxy Configuration (Residential Recommended) 🛡️

proxyConfiguration

Optional

🔒 TripAdvisor is protected by anti-bot defenses. Datacenter IPs get blocked within seconds — so this scraper defaults to 🏘️ Apify Residential Proxy if you leave this blank.

✅ Residential (recommended) — bypasses anti-bot protection reliably ⚠️ Datacenter — works briefly, then gets challenged ❌ No proxy — almost always blocked

🧠 The scraper uses sticky sessions automatically, so cookies stay valid across every step of one property's collection.

Type:object

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