Tripadvisor Review Scraper

Tripadvisor Review Scraper

The Tripadvisor Review Scraper is an Apify actor that collects structured hotel review data from public TripAdvisor pages. It solves the manual effort of copy-pasting reviews by automating extraction of ratings, text, reviewer details, dates, subratings, photos, and management responses into clean records you can export to CSV, JSON, or Excel. Built for marketers, developers, data analysts, and researchers, this Tripadvisor reviews scraper helps you scrape TripAdvisor reviews at scale, acting as a reliable Tripadvisor reviews API alternative for hotel insights.

What data / output can you get?

Below are the real fields this Tripadvisor review scraping tool pushes to the dataset, with examples taken from a Hilton Times Square review:

Data type	Description	Example value
id	Unique review identifier	"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 !!!!!"
rating	Star rating for the review	5
text	Full review text	"We were for 2 weeks holidays in New York!! Hilton Times Square was the perfect choice..."
publishedDate	Date the review was posted (YYYY-MM-DD)	"2025-11-27"
tripType	Trip category (if provided)	"FAMILY"
travelDate	Month/year of travel (YYYY-MM)	"2025-11"
helpfulVotes	Count of helpful votes on the review	0
lang	Language code of the review	"en"
user	Reviewer profile object (ID, name, contributions, location, avatar, link)	{ "userId": "4381D233...", "name": "Dimitris T", ... }
ownerResponse	Management/owner response object or null	null
subratings	Array of category ratings (e.g., Value, Rooms)	[ { "name": "Value", "value": 5 }, ... ]
photos	Array of user photo objects (id, url, caption, albumId)	[]
placeInfo	Hotel metadata (id, name, rating, count, address, coords, webUrl, etc.)	{ "id": "208453", "name": "Hilton New York Times Square", ... }

Notes:

• Exports are available directly from the Apify dataset in CSV, JSON, and Excel formats.
• Nested objects (user, ownerResponse, subratings, photos, placeInfo) provide rich context for downstream analytics and reporting.

Key features

• 🚀 Smart pagination & batching Automatically paginates TripAdvisor hotel reviews (fetching up to 10 reviews per request) and processes multiple inputs in one run, ideal for bulk URL lists.

• 🔎 Sortable review retrieval Control result order with the sortOrder parameter: "newest", "oldest", "relevant", or "rating" for targeted analysis.

• 🧠 Keyword-to-URL discovery Supply hotel names or keywords in startUrls and the actor attempts to find valid TripAdvisor Hotel_Review pages via search, reducing prep work.

• 🧰 Structured, analytics-ready output Captures ratings, full text, dates, trip type, reviewer profile, subratings, photos, and owner responses into a clean JSON schema.

• 🌐 Resilient proxy strategy Built-in proxy fallback (no proxy → datacenter → residential) helps mitigate blocks and improve success rates on the network level.

• 💾 Flexible exports Download results from the dataset in JSON, CSV, or Excel and connect to BI tools or automation workflows.

• 👩‍💻 Developer-friendly Runs on the Apify platform with a Python codebase and can be accessed via the Apify API for integration in pipelines and scripts.

• 🧱 Production-ready reliability Robust retry logic, network checks, and controlled concurrency to keep long-running jobs stable and efficient.

How to use Tripadvisor Review Scraper - step by step

1. 🔑 Sign in to Apify Log in to your Apify account (or create a new one) to access the actor.

2. 🔎 Open the actor Search for “Tripadvisor Review Scraper” in the Apify Store and open the actor.

3. 📥 Add input data In startUrls, enter one or more TripAdvisor hotel URLs, hotel names, or keywords (e.g., “Hilton New York Times Square” or a full Hotel_Review URL).

4. ⚙️ Configure settings

   • maxComments: Set the maximum number of reviews to extract per URL (1–10000).
   • sortOrder: Choose "newest", "oldest", "relevant", or "rating".
   • proxyConfiguration: Optionally enable Apify Proxy; the actor will automatically try direct → datacenter → residential.

5. ▶️ Run the actor Click Start. The scraper will resolve hotel URLs (for names/keywords), fetch paginated reviews, and push structured items to the dataset.

6. 📊 Monitor progress Watch the run logs for per-URL progress, pagination, and proxy fallback messages.

7. 💾 Export your data Open the run’s Dataset and export results as JSON, CSV, or Excel for analysis, dashboards, or ingestion into your systems.

Pro tip: For maximum accuracy and speed, provide direct TripAdvisor Hotel_Review URLs. TripAdvisor’s internal search is heavily protected, so direct URLs minimize lookup overhead.

Use cases

Use case name	Description
Hotel benchmarking & analytics	Compare properties by aggregating ratings, subratings, and review themes across locations for actionable insights.
Competitor monitoring	Track review volume, average ratings, and owner responses over time for competing hotels in your market.
NLP & sentiment analysis	Feed structured review text, ratings, and trip types into ML/NLP pipelines to quantify guest sentiment.
Market research & trend tracking	Identify themes in traveler feedback (e.g., cleanliness, service, location) to prioritize improvements.
Reputation management	Detect negative patterns early by monitoring helpfulVotes and recent ‘newest’ reviews for rapid response.
Data export for BI	Export TripAdvisor reviews to CSV/JSON/Excel and connect to your BI tools for dashboards and reporting.
Automation & ETL pipelines	Pull dataset items via the Apify API to power recurring ingestion jobs and data enrichment workflows.

Why choose Tripadvisor Review Scraper?

Built for precision and reliability, this Tripadvisor review extractor focuses on clean, structured hotel review data at scale.

• 🎯 Accurate parsing Extracts reviewer profiles, subratings, photos, and owner responses into a consistent schema.

• 🔄 Batch scraping at scale Processes multiple hotel URLs or keywords in one run with controlled pagination.

• 💻 Developer access Access results via the Apify API for integration with Python scripts and data pipelines.

• 🛡️ Resilient networking Automatic proxy fallback and retry logic help navigate rate limits and improve stability.

• 💾 Easy exports Export TripAdvisor reviews to CSV, JSON, or Excel without extra tooling.

• 🧩 Production infrastructure Apify-managed environment reduces maintenance compared to browser extensions or one-off scripts.

In short: a best-in-class Tripadvisor review extractor for teams that value structured data, stability, and workflow integration.

Is it legal / ethical to use Tripadvisor Review Scraper?

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

Guidelines for compliant use:

• Only access public pages and respect platform policies.
• Avoid collecting personal or sensitive data beyond what’s publicly shown.
• Use data ethically for research, analytics, and legitimate business purposes.
• Ensure compliance with applicable regulations (e.g., GDPR, CCPA) and consult your legal team for edge cases.

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"
  ]
}

Input parameters (all optional):

• startUrls (array of strings)

  • Description: TripAdvisor hotel URLs, hotel names, or keywords. The actor will resolve names/keywords to Hotel_Review URLs when possible.
  • Default: none
  • Required: No

• maxComments (integer)

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

• sortOrder (string; one of "newest", "oldest", "relevant", "rating")

  • Description: How to sort reviews when fetching.
  • Default: "newest"
  • Required: No

• proxyConfiguration (object)

  • Description: Configure proxies. The actor starts with no proxy and can fallback to datacenter then residential if needed.
  • Default: { "useApifyProxy": false }
  • Required: No

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:

• Some fields may be null when not present on the source page (e.g., ownerResponse, roomTip) or arrays may be empty (photos, subratings).
• The actor requests English-language content with machine translation enabled by default; lang is returned as "en".

FAQ — Tripadvisor Review Scraper

Is this a Tripadvisor reviews API alternative?

Yes. This actor provides a structured dataset of hotel reviews similar to an API. You can access results via the Apify API and export to JSON, CSV, or Excel.

Can I scrape TripAdvisor restaurants or attractions?

No. This scraper targets TripAdvisor Hotel_Review pages. Provide hotel URLs, names, or keywords in startUrls for best results.

Do I need to log in or provide cookies?

No. The scraper fetches public hotel review data without login. It uses HTTP requests with smart headers and proxy fallback where needed.

How many reviews can I extract per hotel?

You control this with maxComments (1–10000). The actor paginates in batches (up to 10 reviews per request) until it reaches your limit or the available total.

Can I sort the reviews I collect?

Yes. Use the sortOrder parameter and choose "newest", "oldest", "relevant", or "rating" to control fetch order.

What languages are supported?

The actor requests English content with machine translation enabled. The lang field in output is "en".

How do I export TripAdvisor reviews to CSV or Excel?

Open the run’s Dataset on Apify and choose your preferred export format (CSV, JSON, or Excel). You can also fetch items via the Apify API.

How does proxying work?

The actor starts with no proxy and automatically falls back to datacenter, then residential proxies if needed. You can configure proxyConfiguration in the input.

How is reviewer information handled?

Only publicly available fields (e.g., display name, avatar, location, contribution counts) are captured. Sensitive or private data is not accessed.

How is pricing handled?

Pricing and any available trials are managed by Apify. Refer to the actor’s listing and your Apify plan for current details.

Final thoughts

The Tripadvisor Review Scraper is built to extract clean, structured hotel review data from TripAdvisor at scale. With automatic pagination, sort controls, proxy fallback, and rich output fields, it enables marketers, analysts, and developers to build reliable Tripadvisor review datasets fast. Export TripAdvisor reviews to CSV/JSON/Excel, connect via the Apify API, and integrate into your automation pipeline. Start extracting smarter hotel insights today.