TripAdvisor Reviews Scraper

TripAdvisor Reviews Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed TripAdvisor data.

TripAdvisor Reviews Scraper is scraped live on every run — no proxies, no selectors, no data cleaning — so you get the data, and can successfully complete your project.

$0.40 per 1,000 reviews. And with Apify's free plan you get $5 of credit every month, so your first ~12,500 reviews each month are free.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 30 reviews on Trustpilot.

👉 Try TripAdvisor Reviews Scraper free — your first ~12,500 reviews are Free.

What can I get

• ⭐ Every review of any place — hotels, restaurants and attractions, thousands per place
• 📝 Full text, not snippets — title, text, star rating, sub-ratings, language & photos
• 🧳 Who wrote it and when — trip type, visit date, reviewer name, hometown & contributions
• 💬 Owner replies — see how the business answered, with filters for stars, date, traveler type & keyword

Why TripAdvisor Reviews Scraper

Most other scrapers fail you in one of four ways:

• 🗄️ Inaccurate, cached, stale data
• 🧩 Low-detail data — a few fields per row, never the full picture
• 💸 Pay more to get the same data
• 🪦 Works today, breaks next month — nobody maintains it

TripAdvisor Reviews Scraper is scraped live on every run, priced honestly, and actively maintained.

Example: One Row

{
  "review_id": 1078898081,
  "review_link": "https://www.tripadvisor.com/ShowUserReviews-g29092-d103346-r1078898081-Disneyland_Park-Anaheim_California.html",
  "title": "Fun times",
  "text": "Had a great time ... reservation for the park is helpful as it can sell out at busy times in the year.. lots to dolits of pla es to eat ... downloading the app.. is helpful for foods orders, ride wait times..",
  "rating": 5,
  "subratings": [],
  "language": "en",
  "trip": {
    "trip_type": "couples",
    "stay_date": "2026-09-30"
  },
  "owner_response": null,
  "published_at_date": "2026-09-22",
  "reviewer": {
    "name": "Karen1616",
    "username": "Karen1616",
    "hometown": null,
    "profile_link": "https://www.tripadvisor.com/Profile/Karen1616"
  },
  "place": {
    "tripadvisor_entity_id": 103346,
    "name": "Disneyland Park",
    "link": "https://www.tripadvisor.com/Hotel_Review-d103346-Reviews-Disneyland_Park.html",
    "place_type": "hotel"
  }
}

Trimmed for readability.

Get Started with 12,500 Free Reviews

1. Hit Try for Free Button — the input is pre-filled with Disneyland Park's reviews.
2. Enjoy your data 😎.

Pricing

High value, Low price.

What	Price	What you get
Reviews	$0.40 per 1,000	full text, rating, sub-ratings, trip, owner reply, reviewer + place

No start fee — you pay only for the rows you get. Control your spend with Max Reviews per Place: 1,000 reviews ≈ $0.40.

💡 Apify's free plan includes $5 of credit every month — about 12,500 free reviews, every month.

👉 Scrape your first 12,500 reviews free

FAQ

How much does a run cost? $0.40 per 1,000 reviews, flat on every Apify plan. 10,000 reviews ≈ $4.00.

Do I need proxies or an account? No. Everything runs on our side — you just give the input.

What if an input is wrong? It is skipped with a clear message in the log and never billed.

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/tripadvisor-reviews-scraper").call(run_input={"places": ["Disneyland Park, California"], "ratings": ["1", "2"], "maxReviewsPerPlace": 200})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["rating"], review["title"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/tripadvisor-reviews-scraper').call({ places: ['https://www.tripadvisor.com/Hotel_Review-g35805-d114581-Reviews-Swissotel_Chicago-Chicago_Illinois.html'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

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👉 Scrape your first 12,500 reviews free now