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

{
  "place_name": "Disneyland Park",
  "place_type": "hotel",
  "place_link": "https://www.tripadvisor.com/Hotel_Review-d103346-Reviews-Disneyland_Park.html",
  "place_input": "https://www.tripadvisor.com/Attraction_Review-g29092-d103346-Reviews-Disneyland_Park-Anaheim_California.html",
  "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.…",
  "rating": 5,
  "like_count": 0,
  "language": "en",
  "trip_type": "couples",
  "trip_stay_date": "2026-09-30",
  "published_at_date": "2026-09-22",
  "reviewer_name": "Karen1616",
  "reviewer_username": "Karen1616",
  "reviewer_contribution_count": 599,
  "images": [
    "https://dynamic-media-cdn.tripadvisor.com/media/v2/photo-o/34/ae/70/71/image.jpg",
    "https://dynamic-media-cdn.tripadvisor.com/media/v2/photo-o/34/ae/70/73/image.jpg"
  ]
}

Trimmed for readability. Every row is flat — each value is its own column, so CSV and Excel exports need no clean-up.

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

How to scrape TripAdvisor reviews

1. Click Try for free.
2. Add Places — paste a TripAdvisor hotel, restaurant or attraction URL, or type its name.
3. Optionally filter by star rating, traveler type, keyword or Posted Since date.
4. Set Max Reviews per Place and click Start. Each review becomes one flat row.
5. Open the Output tab or export as JSON, CSV or Excel.

No proxies, no browser setup, no CAPTCHA solving.

Input

Field	What it does
Places (places)	Places to scrape reviews from.
Max Reviews per Place (maxReviewsPerPlace)	Cap for each place.
Sort By (sortBy)	Order of the reviews.
Star Ratings (ratings)	Only keep reviews with these star ratings.
Posted Since (since)	Only keep reviews posted on or after this date (YYYY-MM-DD).
Traveler Types (travelerTypes)	Only keep reviews from these kinds of travelers.
Keyword (keyword)	Only keep reviews that mention this word in the title or text.
Language & Country (locale)	Language–country TripAdvisor site to use.

Output

One flat row per review — 38 documented columns, no nested objects. The main ones:

Column	What it holds
place_name	Name of the place the review is about.
rating	Rating the reviewer gave, 1 to 5.
title	Headline the reviewer gave the review.
text	Full text of the review.
published_at_date	Date the review was published (YYYY-MM-DD).
trip_type	Who the reviewer traveled with: business, couples, family, friends or solo; null when not given.
trip_stay_date	Date of the stay or visit (YYYY-MM-DD).
reviewer_name	Display name of the reviewer.
reviewer_hometown_location_name	The reviewer's hometown; null when not given.
like_count	Number of people who marked the review helpful.
owner_response_text	Text of the owner's response; null when the owner did not respond.
review_link	URL of the review on TripAdvisor.

The Output tab shows this data as a ready-made Reviews table. Every column has a description and an example in the Actor's dataset schema.

Use cases

• Sentiment analysis — thousands of dated, rated review texts per place, with sub-ratings, ready for NLP.
• Review monitoring — schedule a daily run with Posted Since and catch every new review of your property.
• Reputation management — see which reviews the owner answered and what was said.
• Competitor research — read what guests praise and complain about at the hotels and restaurants next door.
• Datasets for ML — clean rows with ratings, trip types, languages and photos.

Schedule it and connect it

Scraping once is useful. Scraping on a schedule is where the value is.

• ⏰ Schedule it — run TripAdvisor Reviews Scraper every hour, day or week from the Apify Schedules tab and catch every new review.
• 🔗 Send the data anywhere — push results to Google Sheets, Slack, Airtable or your CRM with Make, Zapier or n8n, or call your own webhook the moment a run finishes.
• 🧑‍💻 Use the API — start runs and read results from any language. See Run It from Code.
• 🤖 Use it from AI agents — the Actor is available to Claude, ChatGPT and other agents through the Apify MCP server, so an agent can fetch TripAdvisor reviews for you on demand.
• 📥 Export — download any run as JSON, CSV, Excel, XML or an HTML table.

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);

FAQ

How much does it cost to scrape TripAdvisor reviews?

$0.40 per 1,000 reviews, flat on every Apify plan, with no start fee. 10,000 reviews ≈ $4. Apify's free plan gives you $5 of credit every month, about 12,500 reviews.

Do I need proxies or a TripAdvisor account?

No. Everything runs on our side — you just give the input.

How many reviews can I get per place?

As many as TripAdvisor shows for your filters, up to Max Reviews per Place (100,000 max).

Can I get only new reviews?

Yes. Set Posted Since to a date and sort by most recent, then schedule the run.

Do I get the owner's response?

Yes. owner_response_text, its date and the responder's role are on every row, and null when the owner did not respond.

What if an input is wrong?

It is skipped with a clear message in the log and never billed.

Is the output nested JSON?

No. Every row is flat — reviewer_name, trip_type, place_name — so CSV and Excel exports need no clean-up. Only real lists (photos, sub-ratings) stay as arrays.

Need place data too?

Use TripAdvisor Scraper — hotels, restaurants and attractions with ratings, prices and contacts.

Is it legal to scrape TripAdvisor reviews?

The Actor collects only public reviews that any visitor can see without logging in. Reviewer names are public by the reviewer's choice. Make sure your use complies with the law of your jurisdiction, including data-protection law.

💬 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