kestrel actors › Guest & customer reviews

TripAdvisor Reviews Scraper — Hotel Guest Reviews & Ratings

A tripadvisor reviews scraper — a hotel reviews scraper for tripadvisor hotel reviews — that returns every review a hotel has as structured rows: tripadvisor ratings as 1–5 bubbles, the title and the full text, the six sub-ratings (value, rooms, location, cleanliness, service, sleep quality), the language it was written in and whether you are reading a machine translation, the stay date and trip type, the reviewer's profile, photos, helpful votes and the hotel's management response. It is a tripadvisor scraper for guest reviews built for review monitoring: give it hotels, get tripadvisor review data — hotel review data you can sort, filter and export.

Run TripAdvisor Reviews Scraper on Apify →

TripAdvisor reviews scraper pricing: what one row costs

$0.005 per review row. Hotel rows, status rows, filtered reviews, unknown ids, duplicate targets and reviews the spending limit refused are free. Every review a hotel has on the English site — say 1,456 — is $7.28; a daily complaints feed that finds two complaints a week costs cents a month. Set maxReviewsPerHotel and sinceDate to keep runs the size you want, and the run's maxTotalChargeUsd as a hard ceiling. Residential proxy traffic (about a megabyte per ten reviews) is included in the price.

TripAdvisor reviews scraper input reference

Every field of TripAdvisor Reviews, straight from the actor's input schema.

Example input

{
  "locationIds": ["4509998", "228423"],
  "hotelNames": ["The Lumiares Lisbon", "Bairro Alto Hotel Lisbon", "Memmo Príncipe Real"],
  "languages": ["en", "de"],
  "sinceDate": "2 days",
  "maxRating": 2,
  "requireText": true,
  "maxReviewsPerHotel": 0
}

{
  "startUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g189158-d4509998-Reviews-Memmo_Alfama_Hotel-Lisbon.html",
    "https://www.tripadvisor.com/Hotel_Review-g189158-d190364-Reviews-x.html"
  ],
  "languages": ["fr"],
  "includeTranslated": false,
  "maxReviewsPerHotel": 0
}

TripAdvisor reviews scraper output fields

One row per guest review (charged), plus a free hotel context row and a free status row per hotel and language.

Dataset views in the Apify Console: Overview, Reviews, Complaints, Hotels, Status.

Example row from a real run

Taken from the actor's README — this is the shape your dataset holds.

{
  "type": "review",
  "target": "https://www.tripadvisor.com/Hotel_Review-g189158-d4509998-Reviews-Memmo_Alfama_Hotel-Lisbon_Lisbon_District_Central_Portugal.html",
  "review_id": "1075128384",
  "location_id": "4509998",
  "hotel_name": "Memmo Alfama Hotel",
  "language": "en",
  "original_language": "en",
  "translated": false,
  "title": "A Gem in the Heart of Alfama",
  "text": "This place is a gem!\nOn a quiet side street just off the route of the famous tram Electrico #28, this is a gorgeous haven in the heart of Alfama. Our room had a view out over the Tagus River…",
  "rating": 5,
  "sub_ratings": {"value": 4, "rooms": 4, "location": 5, "cleanliness": 5, "service": 5, "sleep_quality": 5},
  "review_date": "2026-08-27",
  "created_date": "2026-08-27",
  "stay_date": "2026-08-31",
  "trip_type": "COUPLES",
  "helpful_votes": 0,
  "reviewer_name": "Frank S",
  "reviewer_username": "992franks",
  "reviewer_verified": false,
  "reviewer_contributions": 391,
  "reviewer_helpful_votes": 169,
  "reviewer_hometown": "Brooklyn, New York",
  "photos": [],
  "photo_count": 0,
  "response": "Dear Frank, thank you so much for your incredible review…",
  "response_date": null,
  "response_id": "974781822",
  "url": "https://www.tripadvisor.com/ShowUserReviews-g189158-d4509998-r1075128384-Memmo_Alfama_Hotel-Lisbon_Lisbon_District_Central_Portugal.html",
  "hotel_url": "https://www.tripadvisor.com/Hotel_Review-g189158-d4509998-Reviews-Memmo_Alfama_Hotel-Lisbon_Lisbon_District_Central_Portugal.html",
  "fetched_at": "2026-08-29T15:20:11+00:00"
}

TripAdvisor reviews scraper in Python, JavaScript and curl

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kestrel/tripadvisor-reviews-scraper").call(run_input={
    "locationIds": ["4509998"],
    "languages": ["en", "fr"],
    "maxRating": 3,
    "requireText": True,
    "maxReviewsPerHotel": 500,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row["type"] == "review":
        print(row["language"], row["rating"], row["review_date"], row["title"], "-", (row["response"] or "")[:40])

JavaScript (Node)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kestrel/tripadvisor-reviews-scraper').call({
    hotelNames: ['Memmo Alfama Lisbon', 'The Lumiares Lisbon'],
    sinceDate: '30 days',
    includeTranslated: false,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const reviews = items.filter(r => r.type === 'review');
console.log(reviews.length, 'reviews;', reviews.filter(r => r.response).length, 'answered by the hotel');

curl

curl -X POST "https://api.apify.com/v2/acts/kestrel~tripadvisor-reviews-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"startUrls": ["https://www.tripadvisor.com/Hotel_Review-g189158-d4509998-Reviews-Memmo_Alfama_Hotel-Lisbon.html"], "maxReviewsPerHotel": 50}'

The same three calls are runnable files in the examples repository: examples/tripadvisor-reviews-scraper.py|.js|.sh.

Limits and honest notes

FAQ

Does it need a TripAdvisor API key or login?

No. There is no public tripadvisor api for reading reviews (the Content API is for partners and does not return review text); the actor reads the public review pages, which carry the full record.

Can I download TripAdvisor reviews as CSV or Excel?

Yes. Every run writes an Apify dataset; open it in the Console and export tripadvisor reviews CSV, Excel, JSON or XML, or pull it through the API. The reviews and complaints views are ready-made column layouts.

How do I get only TripAdvisor negative reviews?

Set maxRating to 2 (or 3). Reviews above it are dropped before billing. Add requireText: true so every row has something to read, and sinceDate for a rolling window.

Can I get TripAdvisor reviews by location id, URL or name?

Any of the three. Ids are fastest; URLs need no lookup either (only the d<id> in them matters); names go through TripAdvisor's typeahead with a guard against wrong matches.

How many reviews can one hotel return?

All of them, per language: maxReviewsPerHotel: 0 walks every page the site lists. Large hotels have thousands; a sinceDate or a cap keeps a scheduled run small.

Can I get TripAdvisor reviews in multiple languages, and are they translated?

You choose the sites with languages; each site shows reviews written in its language plus machine translations of the others, marked translated: true with the original_language. Untick includeTranslated to keep originals only.

Does it include the TripAdvisor management response?

Yes — the tripadvisor management response is in response, with response_date and response_id when TripAdvisor exposes them.

Can I scrape TripAdvisor reviews without an API?

That is what this is — tripadvisor reviews without API access: the review pages are read directly, no GraphQL, no tokens, no browser. If TripAdvisor changes its pages the actor is fixed, and a daily canary run catches breakage within a day.

Can I use it for hotel sentiment analysis?

Yes — the six sub-ratings, the free text and the trip type per review are the inputs sentiment work needs, and the original_language lets you route each text to the right model.

What do bulk hotel reviews cost?

$0.005 per review, nothing else. Ten hotels × 500 newest reviews = 5,000 rows = $25; the daily feed that follows costs only what is new.

How to use TripAdvisor Reviews Scraper

• How to Scrape TripAdvisor Reviews Without Getting Blocked — TripAdvisor blocks datacenter IPs and Chrome-shaped clients. The measured setup that works, the paging trap that loses reviews, and working Python.
• Which Review Sites Can Be Scraped Without a Browser — Measured evidence for 14 review sources: which answer a plain HTTP client, which need a TLS fingerprint, which need a browser, and which are closed.
• How to Monitor Hotel Reputation Across OTAs — A daily feed of new guest reviews from every OTA a hotel sells on, normalised to one scale, at a cost measured in cents per property per month.
• How to Schedule a Scraper So It Never Goes Stale — Hard-coded dates rot the day after you set them. Relative date inputs keep a scheduled scraper meaning the same thing every morning — here is the grammar.

Ready-made runs you can open and start

Each one is a saved input on the Apify Store — open it, press Start, and it runs with the fields already filled in. All 163 across the suite.

Related scrapers

• Despegar Hotel Ratings Scraper — Latin America's largest OTA: guest score, six category scores and the site's own summary of what guests say, per property.
• TripAdvisor Restaurant Reviews Scraper — the same engine on restaurants and attractions, with the food/service/value/atmosphere sub-ratings and the dish keywords a hotel page does not carry.
• Hostelworld Reviews Scraper — hostel guest reviews with eight sub-ratings, traveller group and trip type, and the owner's reply.
• Booking.com Reviews Scraper — Booking.com guest reviews with liked and disliked text split, traveller type and the property's reply.
• Agoda Reviews Scraper — Agoda hotel reviews with separate positives and negatives.
• Trip.com Reviews Scraper — Trip.com and Ctrip reviews with four sub-scores and the Chinese-language corpus.
• HRS Reviews Scraper — HRS business-travel reviews with twelve category votes.
• Google Hotels Prices Scraper — what the same hotels charge, per booking source and stay.

Run TripAdvisor Reviews Scraper

The actor lives on the Apify Store, where the pricing tab carries the live per-row price and the input form has every field above: apify.com/kestrel/tripadvisor-reviews-scraper