Tripadvisor Reviews Scraper

Export public Tripadvisor hotel, restaurant, and attraction reviews to a structured dataset. Collect review text and ratings together with reviewer details, management responses, photos, subratings, place metadata, and source provenance.

Use the results for guest-feedback analysis, reputation monitoring, hospitality research, review aggregation, and BI or AI pipelines. Teams can scrape Tripadvisor reviews through the web interface or use the Tripadvisor reviews API workflow through Apify. Supply one or more Tripadvisor place URLs; the Actor handles pagination, duplicate removal, filtering, and partial multi-URL failures.

Example input

{
  "startUrls": [
    { "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html" }
  ],
  "maxReviewsPerUrl": 20,
  "sort": "recent",
  "ratings": [4, 5],
  "languages": ["en"]
}

Example output

{
  "reviewId": "1072075477",
  "reviewUrl": "https://www.tripadvisor.com/ShowUserReviews-g60763-d208453-r1072075477.html",
  "title": "2 Nights In Times Square",
  "text": "My family and I spent two nights at this hotel...",
  "rating": 4,
  "publishedDate": "2026-08-07",
  "travelDate": "2026-08-31",
  "helpfulVotes": 0,
  "language": "en",
  "userId": "62BA843EB814DC878D7A6BB6ED490AAD",
  "username": "DFunk",
  "userProfileUrl": "https://www.tripadvisor.com/Profile/DRDFunk",
  "userAvatarUrl": null,
  "userLocation": "New York",
  "userContributions": 1,
  "ownerResponse": { "id": "1072517231", "text": "Thank you...", "publishedDate": "2026-08-10" },
  "photos": [],
  "subratings": {},
  "placeId": "208453",
  "placeName": "Hilton New York Times Square",
  "placeUrl": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html",
  "placeRating": 4.5,
  "placeReviewCount": 9500,
  "placeAddress": "234 W 42nd St, New York City, NY",
  "sourceUrl": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html",
  "scrapedAt": "2026-08-13T11:56:17.403Z"
}

What data can you export?

Field	Description
reviewId	Tripadvisor review identifier
reviewUrl	Direct public review URL
title	Review title
text	Full review text
rating	Overall rating from 1 to 5
publishedDate	Review publication date
travelDate	Visit or stay date when available
helpfulVotes	Helpful-vote count
language	Review language code
userId	Public reviewer identifier
username	Public reviewer display name
userProfileUrl	Reviewer profile URL
userAvatarUrl	Reviewer avatar URL
userLocation	Public reviewer location
userContributions	Public contribution count
ownerResponse	Management-response ID, text, and date
photos	Review photo IDs, image URLs, and captions
subratings	Category-level ratings where available
placeId	Tripadvisor place identifier
placeName	Hotel, restaurant, or attraction name
placeUrl	Canonical place URL
placeRating	Overall place rating
placeReviewCount	Total public review count
placeAddress	Public place address
sourceUrl	Input URL that produced the review
scrapedAt	UTC extraction timestamp

Optional fields are returned as null, {}, or [] when Tripadvisor does not publish them for a review.

Input settings

Input	Type	Default	Description
startUrls	array	required	1–20 Tripadvisor hotel, restaurant, or attraction URLs
maxReviewsPerUrl	integer	20	Maximum reviews saved for each URL (1–500)
startPage	integer	0	Zero-based page to start from for resume workflows
sort	string	recent	Sort reviews by recent or relevant
ratings	integer[]	all	Keep ratings from 1 to 5
languages	string[]	all	Keep language codes such as en, de, or pt-BR
dateFrom	string	none	Earliest publication date (YYYY-MM-DD)
dateTo	string	none	Latest publication date (YYYY-MM-DD)
failOnError	boolean	false	Stop on the first failed URL instead of preserving partial results

Ready-to-run examples

Open a public example to inspect its input, run it, or reuse it as a task:

• Export Five-Star Tripadvisor Reviews
• Export Latest Tripadvisor Hotel Reviews

Latest reviews for several properties

{"startUrls":[{"url":"https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"}],"maxReviewsPerUrl":100,"sort":"recent"}

Recent English five-star reviews

{"startUrls":[{"url":"https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"}],"maxReviewsPerUrl":50,"ratings":[5],"languages":["en"],"dateFrom":"2026-01-01"}

Who is it for?

• Hospitality operators monitoring guest sentiment and management-response coverage.
• Agencies and analysts comparing customer experience across many properties.
• Researchers and data teams building review datasets for BI, NLP, or AI workflows.
• Developers and automation teams integrating Tripadvisor review data into applications.

Use cases

• Monitor guest sentiment and management-response coverage.
• Compare customer experience across hotels, restaurants, or attractions.
• Feed review text into topic, sentiment, or LLM analysis.
• Build recurring dashboards in Google Sheets, Airtable, databases, or BI tools.
• Archive public reviews with deterministic source provenance.

Pricing

The Actor uses pay-per-event pricing with a small run-start charge and a per-review charge. Higher-volume plans receive tiered discounts. You pay only for dataset items saved; failed or filtered rows are not charged as review results. See the live Pricing tab for current rates.

API usage

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~tripadvisor-reviews-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"}],"maxReviewsPerUrl":20}'

JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/tripadvisor-reviews-scraper').call({
  startUrls: [{ url: 'https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html' }],
  maxReviewsPerUrl: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/tripadvisor-reviews-scraper').call(run_input={
    'startUrls': [{'url': 'https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html'}],
    'maxReviewsPerUrl': 20,
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

The run's default dataset can be exported as JSON, CSV, Excel, XML, or RSS. Use Apify integrations to send results to Google Sheets, Make, Zapier, webhooks, or your own application.

MCP and AI agents

Connect the Actor to an MCP-compatible client through https://mcp.apify.com/?tools=fetch_cat/tripadvisor-reviews-scraper.

Claude Code CLI

$claude mcp add apify --transport http "https://mcp.apify.com/?tools=fetch_cat/tripadvisor-reviews-scraper"

MCP JSON configuration

{
  "mcpServers": {
    "apify": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=fetch_cat/tripadvisor-reviews-scraper"
    }
  }
}

Example prompts:

• “Export the 50 latest English reviews for this Tripadvisor hotel and summarize recurring complaints.”
• “Run the Tripadvisor Reviews Scraper for these property URLs and return a CSV-ready dataset.”

Your agent can start review exports, inspect run status, and consume structured datasets without custom scraping code.

Limits and reliability

• Public Tripadvisor place URLs only; search pages and private/account data are unsupported.
• A run accepts up to 20 URLs and 500 reviews per URL.
• Date and language availability follows the public review data.
• Output is saved progressively. If one URL fails, successful URLs remain available unless failOnError is enabled.
• Source changes, rate limits, or temporary anti-bot challenges can cause partial runs; retry failed sources later.
• Respect Tripadvisor's terms, applicable privacy rules, and local law. Do not use the Actor to profile individuals or collect sensitive data.

Tips

• Start with 20 reviews and increase the limit after checking the output.
• Use sourceUrl to group results from batch runs.
• Combine startPage with a fixed sort order for controlled continuation.
• Leave ratings and languages empty to avoid filtering out valid reviews.

FAQ

Does it work for hotels, restaurants, and attractions?

Yes. Provide a public Tripadvisor detail page containing a place ID in its URL.

Is there an API for Tripadvisor hotel reviews?

Yes. Run this Actor as a Tripadvisor reviews API using the Apify API, JavaScript/Python clients, CLI, webhooks, or MCP.

How can I export Tripadvisor reviews to CSV or JSON?

Run the Actor, then download its default dataset as CSV, JSON, Excel, XML, or RSS. It exports repeatable structured data with pagination, filtering, and deduplication.

Why are some fields empty?

Travel dates, photos, subratings, reviewer location, and owner responses are optional and are not published on every review.

Can I request more than the platform limit?

The current limit is 500 reviews per URL and 20 URLs per run. Split larger jobs into multiple runs using startPage.

Is scraping public reviews legal?

Laws vary. Only public data is collected, but you are responsible for your use case, Tripadvisor's terms, and applicable privacy and database rules.

Related Actors

• Google Maps Scraper
• Google Maps Reviews Scraper
• Trustpilot Scraper
• Booking Scraper
• Yelp Scraper

Support

If a valid public Tripadvisor URL fails or the output shape changes, open an issue from the Actor page and include the run URL and a non-sensitive example input. We maintain the Actor as Tripadvisor evolves.