Tripadvisor Review Scraper

Tripadvisor Review Scraper

Tripadvisor Review Scraper is an Apify actor that automates collection of hotel reviews, ratings, dates, helpful votes, photos, and reviewer profiles from public Tripadvisor pages — a fast, reliable Tripadvisor reviews API alternative for marketers, developers, analysts, and researchers. It solves the manual, time‑consuming task of gathering insights by offering bulk URL support, automatic pagination, smart proxy fallback, and structured exports. Use it to scrape Tripadvisor reviews at scale for sentiment analysis, reputation tracking, and competitive benchmarking 🚀

What data / output can you get?

Below are the structured JSON fields this actor outputs to the Apify dataset. Values shown are real examples based on the actor’s transformation:

Data type	Description	Example value
id	Review ID (string)	"1040504451"
url	Direct review permalink	"https://www.tripadvisor.com/ShowUserReviews-g60763-d208453-r1040504451-Hilton_New_York_Times_Square-New_York_City_New_York.html"
title	Review title	"Perfect Holidays at Hilton Times Square !!!!!"
lang	Review language code	"en"
locationId	Tripadvisor location ID (hotel)	"208453"
publishedDate	Review publication date (YYYY-MM-DD)	"2025-11-27"
publishedPlatform	Platform label	"OTHER"
rating	Star rating (integer)	5
helpfulVotes	Helpful votes count	0
text	Full review text	"We were for 2 weeks holidays in New York!!Hilton Times Square..."
roomTip	Room tip text if present	null
travelDate	Stay date (YYYY-MM)	"2025-11"
tripType	Trip type string	"FAMILY"
user	Reviewer profile object	{... see JSON below ...}
ownerResponse	Management response object if present	null
subratings	Additional subratings array	[ { "name": "Value", "value": 5 }, ... ]
photos	Review photos array	[]
placeInfo	Hotel metadata object	{... see JSON below ...}

Notes:

• Export in JSON, CSV, or Excel directly from the Apify dataset UI.
• Nested objects include user, subratings, photos, and placeInfo with rich metadata (e.g., address, coordinates, rating histogram).

Key features

• 🔄 Automatic pagination for deep extraction
  Fetches reviews in pages (Tripadvisor returns ~10 per request) and continues until reaching your maxComments limit.

• 🧵 Review sort order control
  Choose how reviews are fetched using sortOrder: newest, oldest, relevant, or rating for flexible analysis.

• 📥 Bulk inputs with URL/name/keyword support
  Provide startUrls as direct Tripadvisor hotel URLs, hotel names, or keywords — the actor resolves names/keywords to hotel URLs for you.

• 🛡️ Smart proxy fallback
  Starts without a proxy and automatically falls back to datacenter then residential proxies when needed for resilient runs — a robust Tripadvisor review scraper with proxies.

• 🧑‍💻 Developer-friendly Python actor
  Built in Python with the Apify SDK, ideal for integrating into pipelines as a Tripadvisor reviews API alternative or for Tripadvisor review scraping without API.

• 💾 Clean, structured exports
  Dataset records include review text, ratings, travel dates, trip type, reviewer profiles, subratings, photos, and place metadata — perfect for Tripadvisor review data export CSV/JSON.

• 🇬🇧 English-first extraction
  Reviews are requested with LANGUAGE filter set to “en” and machine translation enabled by default for consistency across datasets.

• 📈 Production-ready reliability
  Network checks, retry logic, and proxy fallback ensure stable scraping at scale — great for ongoing monitoring, dashboards, and analytics.

How to use Tripadvisor Review Scraper — step by step

1. 🔑 Create or log in to your Apify account
   Access the actor from your dashboard.

2. 🔍 Add your input data
   In the Input tab, fill the startUrls array with one or more of the following:

   • Direct Tripadvisor hotel URLs
   • Hotel names (e.g., “Hilton New York Times Square”)
   • Keywords (e.g., “luxury hotel New York”)

3. ⚙️ Configure scraping options

   • maxComments: Limit the number of reviews to extract per URL (1–10000; default 100).
   • sortOrder: Choose newest, oldest, relevant, or rating.
   • proxyConfiguration: Optional; the actor begins without a proxy and falls back to datacenter/residential if needed.

4. ▶️ Run the actor
   Click Start. The scraper will resolve hotel names/keywords to URLs (via Google search), fetch dynamic query IDs, and begin paginating reviews.

5. 🛰️ Monitor progress
   Check the run console for logs: processed URLs, reviews extracted, and proxy fallback status.

6. 💾 Download your data
   Go to the Dataset tab to download results in JSON, CSV, or Excel for BI tools, analysis, or pipelines.

Pro tip: For the most reliable results and fastest runs, provide direct Tripadvisor hotel URLs in startUrls.

Use cases

Use case name	Description
Hotel benchmarking & QA	Analyze guest experience across properties and regions using ratings, subratings, and travel dates for quantifiable comparisons.
Competitor analysis for hospitality	Track competitor sentiment shifts by sorting newest reviews and exporting structured datasets to dashboards.
NLP sentiment analysis	Feed review text into NLP models for topic extraction and polarity scoring to prioritize operational improvements.
Reputation monitoring	Detect spikes in negative feedback via helpfulVotes, ratings, and titles to trigger support workflows.
Tripadvisor review data export CSV for BI	Export structured reviews to CSV/JSON and load into analytics warehouses for reporting.
Academic & market research	Build reproducible datasets of public hotel reviews for studies on travel trends and consumer behavior.
API pipelines & automation	Use the Apify platform to trigger runs on a schedule and pipe data to downstream systems as a Tripadvisor reviews API alternative.

Why choose Tripadvisor Review Scraper?

This scraper focuses on precision, automation, and structured outputs — a robust alternative to unstable, browser-based tools.

• 🎯 Accurate, structured fields: Consistent JSON with review text, ratings, user profiles, photos, and place metadata.
• ⚡ Scalable runs: Process many hotel URLs in a single job with maxComments limits and automatic pagination.
• 🧰 Developer access: Python-based actor designed for integration into data pipelines — ideal for Tripadvisor review extractor workflows.
• 🛡️ Resilient with proxies: Automatic fallback from no-proxy to datacenter to residential keeps jobs moving.
• 💸 Cost-effective & transparent: Configure limits and sorting to control volume and focus on what matters most.
• 🔌 Integration-ready: Export datasets to CSV/JSON/Excel and connect with your analytics stack.

In short, it’s a reliable Tripadvisor review scraper tool for teams who need clean data fast — without relying on a fragile extension.

Is it legal / ethical to use Tripadvisor Review Scraper?

Yes — when done responsibly. This actor accesses publicly available hotel review data. To use it ethically and legally:

• Only collect public information and avoid private or sensitive data.
• Respect platform terms and avoid harmful behavior.
• Ensure your use complies with applicable laws and policies (e.g., GDPR, CCPA).
• Validate your compliance posture with your legal team for edge cases or at-scale deployments.

Input parameters & output format

Example JSON input

{
  "maxComments": 10,
  "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"
  ],
  "sortOrder": "newest"
}

Input fields

• startUrls (array of string)
  Description: TripAdvisor URLs/Hotel Names/Keywords. List one or more Tripadvisor hotel URLs, hotel names, or keywords.
  Required: No
  Default: None (example/prefill available in UI)

• 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:

• ownerResponse and roomTip may be null when not present.
• photos may be an empty array if the review has no images.
• placeInfo includes hotel-level metadata fields and a rating histogram.

FAQ

Is there a free tier or trial?

Yes. This actor offers trial minutes on Apify so you can test it before subscribing (current listing shows 120 trial minutes).

Can I scrape Tripadvisor reviews with Python?

Yes. The actor itself is implemented in Python and can be orchestrated via the Apify API from your Python scripts — a practical path for Tripadvisor reviews scraping Python workflows.

Does it work without an official API?

Yes. It’s designed as a Tripadvisor reviews API alternative that collects publicly available hotel reviews and metadata without requiring an official API.

Do I need proxies to run it?

Not necessarily. The actor starts with no proxy and automatically falls back to datacenter and then residential proxies when needed. You can also configure proxyConfiguration explicitly.

Can I input hotel names or keywords instead of URLs?

Yes. Provide hotel names or keywords in startUrls and the actor will resolve them to Tripadvisor hotel URLs before scraping.

How many reviews can I download per URL?

You control this with maxComments (1–10000, default 100). The actor paginates through Tripadvisor responses (about 10 reviews per request) until your limit is reached.

Is this a Chrome extension?

No. It’s a cloud crawler/Tripadvisor review scraper tool running on Apify, more reliable and scalable than a Tripadvisor reviews scraper Chrome extension.

What data formats can I export?

You can export the dataset to JSON, CSV, or Excel directly from Apify — ideal for dashboards, BI tools, and analysis.

Final thoughts

Tripadvisor Review Scraper is built to extract structured hotel review data at scale, fast. With sort controls, max review limits, proxy resilience, and clean JSON outputs, it empowers marketers, developers, analysts, and researchers to turn public Tripadvisor reviews into actionable insights. Run it in the cloud, export to CSV/JSON/Excel, or integrate via the Apify API for automated pipelines — and start extracting smarter today.