Tripadvisor Scraper — Hotels & Attractions

Tripadvisor Scraper — Hotels & Attractions

Tripadvisor Scraper extracts structured Tripadvisor records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out Google Maps Scraper, Contact & Email Extractor, Yelp Scraper, Trustpilot Scraper, or browse our full catalog of 118+ dedicated scrapers.

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What does Tripadvisor Scraper do?

Ultra-fast Tripadvisor scraper without browser overhead. Extract hotels, restaurants, attractions, city rankings (#1 of 1,200), ratings, .... Compatible Make.com, Zapier, n8n, Sheets & Webhooks. 256MB RAM & sub-second speed.

Whether you need to monitor Tripadvisor at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, Tripadvisor Scraper handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect Tripadvisor listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official Tripadvisor API

• No API Keys or Approval Delays: Start extracting public Tripadvisor data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on Tripadvisor.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

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What data can you scrape from Tripadvisor?

Tripadvisor Scraper extracts the following data points from Tripadvisor:

📝 Query (query)	🔗 Start URLs (startUrls)	📝 Include Hotels (includeHotels)
📝 Include Restaurants (includeRestaurants)	📝 Name (name)	🏷️ Type (type)
📅 Category (category)	📍 City (city)	📍 Address (address)
⭐ Rating (rating)	👀 Reviews Count (reviewsCount)	💰 Price Range (priceRange)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	name (Name), type (Type)
Metrics, Pricing & Engagement	reviewsCount (Reviews Count), priceRange (Price Range), rankingString (Ranking String)
Details, Attributes & Context	query (Query), includeHotels (Include Hotels), includeRestaurants (Include Restaurants), city (City), address (Address)
Direct Links, Media & Timestamps	startUrls (Start URLs), category (Category), rating (Rating), url (URL)

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Why scrape Tripadvisor? (Typical Use Cases & Guides)

You can use Tripadvisor Scraper for a wide range of data and business workflows:

• Hospitality Market Intelligence: Monitor hotel pricing, review scores, and competitor positioning across cities.
• Travel Itinerary & Booking Aggregators: Enrich travel portals with verified reviews and attraction rankings.
• Local Tourism Research: Identify top-rated dining and cultural spots for travel guides.
• AI Agents, RAG & LLM Knowledge Pipelines: Stream clean, structured Tripadvisor JSON records into vector databases, Claude, GPT-4, or LangChain workflows.
• Automated BI Dashboards & Scheduled Alerts: Schedule daily or hourly runs and push live Tripadvisor updates directly to Google Sheets, Looker Studio, Slack, or webhooks.
• Market Research & Competitor Analysis: Benchmark Tripadvisor offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live Tripadvisor data directly to Claude Desktop, Cursor, or LangChain agents.

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How to scrape Tripadvisor data

Tripadvisor Scraper is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open Tripadvisor Scraper and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape Tripadvisor by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on Tripadvisor. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct Tripadvisor links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

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⬇️ Input Configuration & Examples

To start scraping Tripadvisor, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
query	string	Paris boutique hotels	City, destination, or place to search (e.g., 'Paris restaurants', 'Tokyo hotels', 'Colosseum Rome').
startUrls	array	[{"glob":"https://www.tripadvisor.c...	Direct Tripadvisor destination or place URLs.
includeHotels	boolean	true	Extract hotel and accommodation listings.
includeRestaurants	boolean	true	Extract restaurant, cafe, and dining listings.
includeAttractions	boolean	true	Extract attractions, tours, and activities.
language	string	en	Preferred language for reviews and descriptions (e.g., 'en', 'fr', 'es', 'de').
currency	string	USD	Preferred currency (e.g., 'USD', 'EUR', 'GBP').
maxItems	integer	30	Maximum number of places/establishments to extract.
proxyConfiguration	object	—	Proxy configuration for the crawler (Residential proxies recommended for high volume).

Example 1: Standard Extraction (1-Click Default)

{
  "query": "Paris boutique hotels",
  "startUrls": [
    {
      "glob": "https://www.tripadvisor.com/Hotels-g187147-Paris_Ile_de_France-Hotels.html"
    }
  ],
  "includeHotels": true,
  "includeRestaurants": true
}

Example 2: Filtered & Batch Extraction

{
  "query": "Paris boutique hotels",
  "includeHotels": true,
  "includeRestaurants": true,
  "includeAttractions": true,
  "language": "en",
  "currency": "USD",
  "maxItems": 60
}

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⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Query	Start URLs	Include Hotels	Include Restaurants
Paris boutique hotels	{"glob":"https://www.tripadvi...	true	true
Paris boutique hotels	{"glob":"https://www.tripadvi...	true	true
Paris boutique hotels	{"glob":"https://www.tripadvi...	true	true

JSON Output Example

{
  "query": "Paris boutique hotels",
  "startUrls": [
    {
      "glob": "https://www.tripadvisor.com/Hotels-g187147-Paris_Ile_de_France-Hotels.html"
    }
  ],
  "includeHotels": true,
  "includeRestaurants": true
}

Output Fields Reference

Field Name	Type	Description
query	string	Extracted query value.
startUrls	array	Extracted start urls value.
includeHotels	boolean	Extracted include hotels value.
includeRestaurants	boolean	Extracted include restaurants value.
name	string	Establishment or attraction name
type	string	Category (Hotel, Restaurant, Attraction)
category	string	Listing classification
city	string	City or destination region
address	string	Street address
rating	number / integer / string	Tripadvisor bubble rating (1.0 to 5.0)
reviewsCount	integer / number / string	Total user review count
priceRange	string	Price level / tier (e.g. $$, $$$)
rankingString	string	Popularity ranking in destination
url	string	Direct Tripadvisor listing URL

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🔗 Scrape any data you need with dedicated scrapers

Combine Tripadvisor Scraper with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 Google Maps Scraper	🔹 Contact & Email Extractor	🔹 Yelp Scraper
🔹 Trustpilot Scraper	🔹 Clutch.co Scraper	🔹 Reddit Scraper

Scraper	Extracted Data & Primary Use Case
Google Maps Scraper	Places, Leads & Emails
Contact & Email Extractor	Phones & Socials
Yelp Scraper	Local B2B Business Leads & Directory
Trustpilot Scraper	Reviews & Ratings
Clutch.co Scraper	B2B Agencies, Reviews & Rates
Reddit Scraper	Posts, Comments & Subreddits

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⚠️ Error Items & Resilience Reference

Tripadvisor Scraper is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

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❓ Frequently Asked Questions (FAQ)

How much does scraping Tripadvisor cost?

Tripadvisor Scraper uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0004 per Scraped Tripadvisor Scraper Record ($0.4 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~12,500 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate Tripadvisor Scraper with Make, Zapier, n8n, or Google Sheets?

Yes. Tripadvisor Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use Tripadvisor Scraper with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run Tripadvisor Scraper, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/tripadvisor-scraper").call(run_input={
    "query": "Paris boutique hotels",
    "startUrls": [{"glob":"https://www.tripadvisor.com/Hotels-g187147-Paris_Ile_de_France-Hotels.html"}],
    "includeHotels": True,
    "includeRestaurants": True
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rbbscrap/tripadvisor-scraper').call({
    query: "Paris boutique hotels",
    startUrls: [{"glob":"https://www.tripadvisor.com/Hotels-g187147-Paris_Ile_de_France-Hotels.html"}],
    includeHotels: true,
    includeRestaurants: true
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use Tripadvisor Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use Tripadvisor Scraper in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger Tripadvisor Scraper with your input parameters.
3. Receive structured Tripadvisor dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape Tripadvisor?

No. Tripadvisor Scraper operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from Tripadvisor?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for Tripadvisor Scraper, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.