TripAdvisor Reviews Scraper 🏨🍽️🗺️

Scrape unlimited TripAdvisor reviews from any hotel, restaurant, or attraction — fast, structured, and proxy-free. Paste one URL or a thousand, set how many reviews you want, and export clean data to JSON, CSV, Excel, or Google Sheets. No proxies. No login. No code.

Pull review text, star ratings, sub-ratings, reviewer profiles, trip type, dates, photos and more — from any TripAdvisor regional site worldwide (.com, .co.uk, .fr, .de, .es, .it, and every other domain).

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✨ Why use this TripAdvisor scraper

• No proxy fees, ever — runs out of the box with zero proxy setup or surcharge. What you see is what you pay.
• Go deep — pull tens of thousands of reviews from a single place, not just the first page.
• Bulk by design — drop in hundreds of hotel, restaurant, and attraction URLs in one run.
• Every field, structured — 20+ clean columns per review, ready for analysis or AI.
• Any country — works on every TripAdvisor regional domain and any review language.
• Pay only for results — failed or empty URLs cost you nothing.

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📋 Data you get for every review

Field	Description
review_id	Unique TripAdvisor review ID
review_title	The review headline
review_text	Full review body
overall_rating	Star rating the reviewer gave (1–5)
subratings	Category scores — cleanliness, service, value, location, rooms, sleep quality, food, atmosphere (when the reviewer provided them)
review_date	Date the review was published
visit_date	Month the reviewer actually visited
trip_type	Solo, Couples, Family, Business, or Friends
language	Language the review was written in
helpful_votes	How many users marked it helpful
reviewer_display_name	Reviewer's display name
reviewer_username	Reviewer's TripAdvisor handle
reviewer_location	Reviewer's hometown (when public)
reviewer_contributions	Total reviews/photos the reviewer has posted
reviewer_url	Link to the reviewer's profile
reviewer_avatar_url	Reviewer's profile photo
photo_count	Number of photos attached to the review
owner_responded	Whether management replied
review_url	Direct link to the review
place_name	The hotel / restaurant / attraction name
place_total_reviews	Total reviews the place has

Every value is pulled straight from TripAdvisor — no guessed or fabricated data. Fields are only empty when TripAdvisor itself has no value (e.g. an anonymous reviewer with no hometown set).

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🎯 Perfect for

• Hotels, restaurants & hospitality — monitor guest sentiment and spot service issues early
• Brand & reputation monitoring — track what travelers say about your venues over time
• Competitor research — benchmark ratings, themes, and complaints at rival properties
• Market & academic research — gather large, authentic samples of traveler feedback
• AI & LLM training data — feed structured, multilingual review text into your models
• Sentiment analysis & dashboards — power BI tools, scorecards, and trend reports
• Lead generation — surface dissatisfied guests to win back or retarget
• Travel & OTA platforms — enrich listings with social proof and review counts
• Due diligence — assess guest experience across a hotel portfolio before investing

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🚀 How to use it (60 seconds, no code)

1. Open any TripAdvisor hotel, restaurant, or attraction page and copy its URL.
2. Paste one or many URLs into TripAdvisor URLs.
3. Set Reviews per Place — 100 for a sample, 5000+ to go deep, or higher to pull everything.
4. Click Start. Watch reviews stream into your dataset in real time.
5. Export to JSON, CSV, Excel, or XML — or pipe straight to your app via the Apify API.

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⚙️ Input

Field	What it does
TripAdvisor URLs	Any Hotel, Restaurant, or Attraction review page from any TripAdvisor regional site (.com, .co.uk, .fr, .de, .es, .it, …)
Reviews per Place	How many reviews to pull from each URL. Default 100. Set it as high as you like — 5,000, 50,000 — and the scraper keeps paginating until it hits that number or runs out of reviews.

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📤 Output & integrations

Every review is one row in your dataset. Download as JSON, CSV, Excel, or XML, or connect to Make, Zapier, n8n, Google Sheets, webhooks, or your own code through the Apify API. Schedule runs to keep a live feed of new reviews.

{
  "place_name": "The Plaza",
  "review_title": "Unforgettable stay",
  "review_text": "From check-in to checkout the service was flawless...",
  "overall_rating": 5,
  "subratings": { "service": 5, "cleanliness": 5, "location": 5, "value": 4 },
  "review_date": "2026-06-07",
  "visit_date": "2026-05",
  "trip_type": "Couples",
  "language": "en",
  "reviewer_display_name": "Jordan M.",
  "reviewer_location": "London, UK",
  "owner_responded": true,
  "review_url": "https://www.tripadvisor.com/ShowUserReviews-..."
}

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💰 Pricing

$0.40 per 1,000 reviews scraped — no proxy fees, ever. No subscription, no monthly minimum. You only pay for reviews you actually receive; failed URLs and empty pages are free.

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❓ FAQ

Do I need a TripAdvisor account or login? No.

Do I need proxies? No — it runs proxy-free out of the box, so there are no proxy fees to pay or configure.

Can I scrape many places at once? Yes — paste a whole list of URLs and run them in one job.

How many reviews can I get from one place? As many as exist — set Reviews per Place high and it paginates through tens of thousands.

Does it work outside the US? Yes — any TripAdvisor regional domain (UK, France, Germany, Spain, Italy, and more) and any review language.

How fresh is the data? Live — reviews are pulled at the moment you run the scraper, newest first.

Will I be charged for URLs that return nothing? No. You're billed only per successfully extracted review.

Can I schedule it? Yes — use Apify Schedules to run it hourly, daily, or weekly and keep an always-current review feed.

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⚖️ Notes

This scraper collects only publicly available review data that anyone can see on TripAdvisor without logging in. Use the data responsibly and in line with applicable laws and TripAdvisor's terms.