Tripadvisor Review Scraper

Tripadvisor Review Scraper

Tripadvisor Review Scraper is a production-ready Tripadvisor review extractor that automates the collection of hotel reviews from publicly available TripAdvisor pages. This Tripadvisor review scraping tool solves the copy-paste problem by turning ratings, review text, dates, user metadata, and management responses into a clean, structured dataset. Built for marketers, developers, data analysts, and researchers, it works as a scalable Tripadvisor reviews API alternative to power sentiment analysis, benchmarking, and travel analytics at scale. 🚀

What data / output can you get?

Below are the exact JSON fields this actor saves to the Apify dataset when you scrape Tripadvisor reviews. Each row shows the real field name, what it means, and a concrete example.

Data field	Description	Example value
id	Unique review identifier (string)	"1040504451"
url	Direct URL to the review detail page	"https://www.tripadvisor.com/ShowUserReviews-g60763-d208453-r1040504451-Hilton_New_York_Times_Square-New_York_City_New_York.html"
title	Review headline/title	"Perfect Holidays at Hilton Times Square !!!!!"
lang	Language code for review content	"en"
locationId	TripAdvisor location ID for the hotel	"208453"
publishedDate	Review publish date (YYYY-MM-DD)	"2025-11-27"
publishedPlatform	Origin platform indicator	"OTHER"
rating	Star rating (integer)	5
helpfulVotes	Number of helpful votes (integer)	0
text	Full review text	"We were for 2 weeks holidays in New York!! Hilton Times Square was the perfect choice..."
roomTip	Reviewer’s room tip if available	null
travelDate	Trip/stay date (YYYY-MM)	"2025-11"
tripType	Trip type classification	"FAMILY"
user	Reviewer profile object	{"userId":"4381D233A5C57…","name":"Dimitris T",…}
ownerResponse	Management/owner response object if present	null or {"id":"…","text":"…","lang":"en",…}
subratings	Array of subratings (e.g., Value, Rooms, Location)	[{"name":"Value","value":5}, …]
photos	Array of attached review photos (if any)	[]
placeInfo	Hotel metadata snapshot (id, name, rating, webUrl, address, etc.)	{"id":"208453","name":"Hilton New York Times Square", …}

Notes:

• Results are saved to the Apify dataset, so you can download Tripadvisor review export CSV, JSON, or Excel in one click.
• Nested objects (user, ownerResponse, subratings, photos, placeInfo) are included to make analysis and enrichment easier.

Key features

• 🔄 Automatic pagination & limits
  Extract multiple pages per hotel with smart pagination until your maxComments limit is reached.

• 🧭 URL, hotel name, or keyword inputs
  Provide TripAdvisor Hotel_Review URLs directly, or supply hotel names/keywords — the actor will attempt to resolve them to valid TripAdvisor hotel pages.

• 🗂️ Batch processing at scale
  Add multiple items to startUrls and process them in one run for a robust Tripadvisor review crawler workflow.

• 🧰 Flexible review sort order
  Control ordering with sortOrder: newest, oldest, relevant, or rating to match your analysis needs.

• 🧪 Structured, analysis-ready fields
  Clean output includes rating, text, dates, user object, ownerResponse, subratings, photos, and placeInfo — ideal for building a Tripadvisor review dataset.

• 🧱 Smart proxy fallback
  Built-in logic starts without a proxy and can automatically switch to datacenter or residential proxies when necessary.

• 🐍 Developer-friendly (Python)
  Implemented in Python for reliability — great for teams seeking a Tripadvisor reviews Python scraper that integrates cleanly into pipelines.

• 🌐 API-first workflow
  Access results via the Apify API as a Tripadvisor reviews API alternative, or integrate into data warehouses and BI tools.

• 💾 Easy export
  Download datasets in JSON, CSV, or Excel — a streamlined way to download Tripadvisor reviews for reporting and analysis.

How to use Tripadvisor Review Scraper — step by step

1. 🔐 Sign in to Apify
   Create a free Apify account or log in.

2. 🔎 Open the actor
   Find “Tripadvisor Review Scraper” in the Apify Store and click Try for free.

3. 📥 Add input data
   In the input, provide one or more items in startUrls. Each item can be:

   • A TripAdvisor hotel page URL (Hotel_Review)
   • A hotel name (e.g., “Hilton New York Times Square”)
   • A keyword phrase (e.g., “luxury hotel New York”)

4. ⚙️ Configure settings

   • maxComments: set the maximum number of reviews to extract per URL (1–10000; default 100)
   • sortOrder: choose “newest”, “oldest”, “relevant”, or “rating”
   • proxyConfiguration: use default (no proxy) or configure Apify Proxy; the actor can fall back to datacenter then residential if needed

5. ▶️ Run the actor
   Click Start. The run will resolve names/keywords to hotel URLs when needed, paginate reviews, and stream structured results to the dataset.

6. 📊 Monitor progress
   Watch logs to see discovered URLs and extracted counts per hotel.

7. 💾 Export results
   Open the dataset tab and export results in JSON, CSV, or Excel to feed downstream analytics and dashboards.

Pro tip: For best performance, provide direct TripAdvisor Hotel_Review URLs. The actor requests English-language content by default and enables machine translation in its queries when needed.

Use cases

Use case	Description
Hotel benchmarking & KPIs	Compare rating trends, subratings, and review volumes across properties to guide pricing and positioning.
Competitor monitoring	Track newest vs. oldest reviews to identify shifts in service quality and guest sentiment over time.
NLP & sentiment analysis	Feed review text and subratings into ML pipelines for aspect-based sentiment and topic modeling.
Market research	Quantify traveler preferences using structured fields like tripType, travelDate, and ratings.
Reputation management	Detect patterns in negative feedback and respond using ownerResponse insights.
API pipelines & BI	Use the Apify API to pull a Tripadvisor review dataset into data warehouses and dashboards.
Academic studies	Analyze geographies, review volume, and traveler behavior with reproducible datasets.

Why choose Tripadvisor Review Scraper?

Tripadvisor Review Scraper is engineered for precision, automation, and reliable hotel review extraction — without brittle browser hacks.

• ✅ Accurate structured fields — Clean JSON with review, user, subratings, photos, and placeInfo for direct analysis.
• 🌍 English-by-default extraction — Queries request English content with machine translation enabled when applicable.
• 📈 Scales with your workload — Batch multiple hotels and control depth via maxComments (up to 10,000 per URL).
• 🧩 Developer access — Built in Python and accessible via the Apify API as a Tripadvisor reviews API alternative.
• 🛡️ Ethical by design — Targets publicly available Hotel_Review pages only; no login or cookies required.
• 💰 Cost-effective operations — Test with Apify trial minutes and automate ongoing runs as your needs grow.
• 🧱 Production-ready reliability — Smart proxy fallback and resilient networking to keep runs stable.

Unlike lightweight browser extensions and unstable scripts, this production-grade Tripadvisor data scraper delivers consistent datasets for analytics and automation.

Is it legal / ethical to use Tripadvisor Review Scraper?

Yes — when done responsibly. This actor extracts publicly available information from TripAdvisor hotel pages and does not access private or authenticated content.

Guidelines for compliant use:

• Only collect publicly visible data from Hotel_Review pages.
• Respect applicable terms and avoid abusive or harmful behavior.
• Use data ethically and comply with regulations like GDPR/CCPA as applicable.
• Do not attempt to access private profiles or non-public content.
• Consult your legal team for edge cases or jurisdiction-specific requirements.

Input parameters & output format

Example JSON input

{
  "maxComments": 10,
  "sortOrder": "newest",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "startUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html",
    "Hilton New York Times Square",
    "luxury hotel New York"
  ]
}

Parameters

• startUrls (array of string)
  Description: List one or more TripAdvisor hotel URLs (e.g., https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html), hotel names (e.g., Hilton New York Times Square), or keywords (e.g., luxury hotel New York).
  Required: No
  Default: Prefilled with one Hilton hotel URL

• maxComments (integer)
  Description: Maximum number of reviews to extract per hotel URL (1–10000).
  Required: No
  Default: 100

• sortOrder (string; enum: newest, oldest, relevant, rating)
  Description: How to sort the reviews when fetching.
  Required: No
  Default: newest

• proxyConfiguration (object)
  Description: Configure proxy settings. Actor will start with no proxy and fallback to datacenter then residential if needed.
  Required: No
  Default: {"useApifyProxy": false}

Example JSON output

{
  "id": "1040504451",
  "url": "https://www.tripadvisor.com/ShowUserReviews-g60763-d208453-r1040504451-Hilton_New_York_Times_Square-New_York_City_New_York.html",
  "title": "Perfect Holidays at Hilton Times Square !!!!!",
  "lang": "en",
  "locationId": "208453",
  "publishedDate": "2025-11-27",
  "publishedPlatform": "OTHER",
  "rating": 5,
  "helpfulVotes": 0,
  "text": "We were for 2 weeks holidays in New York!!Hilton Times Square was the perfect choice I did!!!Perfect location ..Times Square in 3 minutes  all you have to see you can walk easy to all locations!!!Staff excellent ....also Breakfast was great all you need to start your day!!Personally I want to Thank Mrs Marianne she made our holidays perfect she had arranged all we needed for this 2 weeks!!!Thank you all and we will be back for sure!!!",
  "roomTip": null,
  "travelDate": "2025-11",
  "tripType": "FAMILY",
  "user": {
    "userId": "4381D233A5C57ADAF67693B272BEFE70",
    "name": "Dimitris T",
    "contributions": {
      "totalContributions": 2,
      "helpfulVotes": 0
    },
    "username": "margaretmN8866NJ",
    "userLocation": "Thessaloniki, Greece",
    "avatar": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1a/f6/de/5a/default-avatar-2020-36.jpg?w=100&h=100&s=1",
    "link": "www.tripadvisor.com/Profile/margaretmN8866NJ"
  },
  "ownerResponse": null,
  "subratings": [
    { "name": "Value", "value": 5 },
    { "name": "Rooms", "value": 5 },
    { "name": "Location", "value": 5 },
    { "name": "Cleanliness", "value": 5 },
    { "name": "Service", "value": 5 },
    { "name": "Sleep Quality", "value": 5 }
  ],
  "photos": [],
  "placeInfo": {
    "id": "208453",
    "name": "Hilton New York Times Square",
    "rating": 4.3,
    "numberOfReviews": 7879,
    "locationString": "New York City, New York",
    "latitude": 40.75665,
    "longitude": -73.988815,
    "webUrl": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html",
    "website": "https://www.hilton.com/en/hotels/nyctshh-hilton-times-square/?SEO_id=YEXTN-AMER-HH-NYCTSHH&y_source=1_NTYyMTIyNTYtNzY5LWxvY2F0aW9uLndlYnNpdGU%3D",
    "address": "234 West 42nd Street, New York City, NY 10036",
    "addressObj": {
      "street1": "234 West 42nd Street",
      "street2": "",
      "city": "New York City",
      "state": "NY",
      "country": "United States",
      "postalcode": "10036"
    },
    "ratingHistogram": {
      "count1": 267,
      "count2": 290,
      "count3": 704,
      "count4": 2568,
      "count5": 5064
    }
  }
}

Notes:

• Fields like roomTip, ownerResponse, photos may be null or empty when unavailable.
• placeInfo values are a metadata snapshot compiled at transform time.

FAQ — Tripadvisor Review Scraper

Is there a free way to try this Tripadvisor review scraping tool?

Yes. You can start runs on Apify with free trial minutes and then scale up as needed.

Can I scrape Tripadvisor reviews with Python or an API?

Yes. The actor is implemented in Python and results are accessible via the Apify API — a practical Tripadvisor reviews API alternative for pipelines.

What inputs are supported — do I need exact URLs?

You can provide TripAdvisor Hotel_Review URLs, hotel names, or keywords in startUrls. The actor will attempt to resolve names/keywords to valid hotel URLs before scraping.

How many reviews can I extract per hotel?

You control this with maxComments. The allowed range is 1–10,000 per URL, and the actor paginates automatically until it reaches your limit or the last page.

Does it work for restaurants or attractions?

This actor targets TripAdvisor Hotel_Review pages (hotels). For best results, provide hotel URLs, names, or keywords.

Can I choose the order of reviews (e.g., newest first)?

Yes. Set sortOrder to “newest”, “oldest”, “relevant”, or “rating” to control retrieval order.

How do I download Tripadvisor reviews CSV or JSON?

After the run, open the dataset and export in CSV, JSON, or Excel. This makes it easy to build a Tripadvisor review dataset for analysis.

Is scraping TripAdvisor legal and safe?

Yes, when done responsibly. This tool collects public hotel review data, requires no login, and should be used in compliance with applicable laws and platform terms.

Final thoughts

Tripadvisor Review Scraper is built to collect structured hotel review data reliably and at scale. With clean JSON output, pagination control (maxComments), flexible sortOrder, and API-ready access, it empowers marketers, researchers, and developers to automate review collection and analytics. Use it as a dependable Tripadvisor reviews API alternative, integrate via Python or the Apify API, and start exporting smarter hotel insights today.