Tripadvisor Reviews Scraper

What is TripAdvisor Reviews Scraper?

TripAdvisor Reviews Scraper extracts public reviews from any TripAdvisor place page — hotels, restaurants, and attractions. Paste one or more TripAdvisor place URLs (the input defaults to Apify Residential Proxy), start a run, and you get a structured dataset of reviews plus a place-level summary — no TripAdvisor account or API key needed.

The Actor does not access private accounts, inboxes, or paywalled content. It collects what is publicly visible to any browser visiting the listing page.

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Why scrape TripAdvisor reviews?

TripAdvisor is one of the world's largest travel review platforms. Extracting its public review data at scale lets you:

• 📊 Monitor reputation — track rating trends and review volume for your property or competitors over time
• 🔍 Competitive benchmarking — compare guest sentiment across multiple hotels or restaurants in one run
• 🤖 Feed NLP and sentiment pipelines — build topic models, sentiment classifiers, or LLM fine-tuning datasets from real traveller language
• 📈 Market research — understand what guests value (location, service, price) across a destination or category
• 🗂️ Train recommendation systems — structured review data with ratings, dates, and trip type is ready for ML use

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What can this Actor do?

• 🌐 Scrape multiple TripAdvisor places in a single run from a list of URLs
• ⭐ Filter by star rating (1–5), publish date range, and review language
• 🔢 Set a maximum reviews per place cap for targeted pulls
• 📋 Get one structured row per review in the default dataset (JSON, CSV, Excel, HTML)
• 🗃️ Get place-level metadata saved separately as Places.json and a readable Places.md summary
• ☁️ Run on the Apify platform with scheduling, webhooks, API access, and integrations — no server setup needed

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What data can you extract from TripAdvisor?

Data point	Description
Place name & URL	Name and canonical TripAdvisor link for the scraped place
Review title	Short headline written by the reviewer
Review text	Full body of the public review
Star rating	1–5 overall rating
Published date	When the review was posted (YYYY-MM-DD)
Travel date	Month/year of the stay or visit (when provided)
Trip type	e.g. Family, Business, Couples, Solo (when provided)
Review language	Language code of the review text
Reviewer name	Public display name (not private account data)
Helpful votes	How many users found the review helpful
Sub-ratings	Category scores (e.g. cleanliness, service) when present
Owner response	Management reply to the review when present
Review URL	Direct link to the review on TripAdvisor

The Console Output tab offers two views: Overview (compact table) and Full Details (all fields including id, originalLanguage, etc.).

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How to scrape TripAdvisor reviews — step by step

1. Open TripAdvisor Reviews Scraper on Apify Console and go to the Input tab.
2. Add one or more Place URLs — each must be a https://www.tripadvisor.com/ hotel, restaurant, or attraction page.
3. Proxy configuration is pre-filled with Apify Proxy and the RESIDENTIAL group (required on Apify Cloud — datacenter IPs are blocked by TripAdvisor's bot protection). Leave it as-is unless you use a custom proxy.
4. Optionally set Max reviews per place, Start date / End date, Review ratings, and Review language to narrow the dataset.
5. Click Start and monitor the Log tab for progress messages.
6. When the run finishes, open the Dataset tab for review rows or Storage → Key-value store for Places.json and Places.md.

You can download results in JSON, CSV, Excel, or HTML from the Dataset tab, or pull them via the Apify API.

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How much does it cost to scrape TripAdvisor?

Cost depends on your Apify plan, the number of reviews scraped, and proxy usage.

What drives compute units (CUs)

• 🌐 Browser session — Each place requires a real browser context to pass bot-protection checks before the review API can run.
• 📑 Review volume — More reviews mean more API round-trips. The Actor fetches in parallel batches, so the cost per review is low.
• 🔄 Retries — A bad proxy session that triggers a captcha causes a retry and wastes CUs. Good residential proxies reduce retries.

Rough estimates

Reviews scraped	Approx. run time	Notes
3 places × 300 reviews	~2–3 min	Clean session, residential proxy
3 places × 600 reviews	~3–5 min	Same session reused, no retries
10 places × 200 reviews	~10–15 min	Depends on proxy quality

Tips to control cost

• 💡 Always test with one URL and a small Max reviews limit before a large run.
• 📅 Use date and rating filters to avoid downloading reviews you'll discard.
• 🔒 Prefer keeping one stable session over aggressive rotation — session continuity reduces repeated challenges.

Apify's free tier covers small test runs. For production volumes, plan for a residential proxy budget in addition to compute.

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Input

TripAdvisor Reviews Scraper accepts the following input fields. Open the Input tab in Apify Console to fill them in using the form — no JSON editing needed.

Field	Type	Description
Place URLs (startUrls)	List of URLs	Required. TripAdvisor.com place pages (hotels, restaurants, attractions).
Max reviews per place (maxReviewsPerPlace)	Integer	Maximum reviews to collect per place. 0 = no limit.
Start date (startDate)	YYYY-MM-DD	Only include reviews published on or after this date.
End date (endDate)	YYYY-MM-DD	Only include reviews published on or before this date.
Review ratings (reviewRatings)	Multi-select	Filter by star rating: 5 ★ Excellent … 1 ★ Terrible. Leave empty for all.
Review language (language)	Select	Filter by language (English, German, French, …). Leave empty for all.
Proxy configuration (proxyConfiguration)	Proxy	Defaults to Apify Proxy with the RESIDENTIAL group. Override only if you need a different Apify proxy setup or a custom proxy URL.

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Output

The Actor writes to two locations:

Default dataset — one row per review

{
  "id": "942837461",
  "placeName": "The Waterfront Hotel",
  "placeUrl": "https://www.tripadvisor.com/Hotel_Review-g190327-d264939-...",
  "title": "Wonderful location and friendly staff",
  "text": "We stayed for 4 nights in March. The location right on the seafront...",
  "rating": 5,
  "publishedDate": "2025-03-10",
  "travelDate": "2025-03",
  "tripType": "Couples",
  "lang": "en",
  "originalLanguage": "en",
  "reviewerName": "Traveler_Malta2025",
  "helpfulVotes": 2,
  "subratings": [],
  "ownerResponse": null,
  "url": "https://www.tripadvisor.com/ShowUserReviews-..."
}

Key-value store

• Places.json — place-level metadata: name, URL, overall rating, rating distribution, review count, oldest review date.
• Places.md — human-readable summary of all scraped places, useful for quick inspection.

Download dataset results in JSON, CSV, Excel, or HTML from the Dataset tab, or fetch via the Apify API.

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Tips and advanced notes

• 🧪 Always test small first — run with one URL and Max reviews per place = 50 before a large pull.
• 🏘️ Residential proxy is required on Apify Cloud — datacenter IPs are consistently blocked by TripAdvisor's bot-protection layer (DataDome) regardless of browser fingerprinting.
• 🔒 Avoid over-rotating the proxy — reusing the same residential session across multiple places lets cookies and session trust accumulate, which lowers the chance of a block and saves CUs.
• 📅 Use date filters for incremental pulls — set startDate to yesterday's date to collect only new reviews on a schedule.
• 🔗 Automate with scheduling — use Apify Schedules to run the Actor daily or weekly and push fresh reviews to your pipeline via webhooks or integrations (Make, Zapier, Slack, Google Sheets, and more).

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FAQ, disclaimers, and support

Is it legal to scrape TripAdvisor?

This Actor only collects public content shown to any visitor — review text, ratings, dates, and display names that users have chosen to share publicly. It does not access private accounts, inboxes, or hidden data.

You are responsible for complying with TripAdvisor's Terms of Use, applicable copyright law, and data-protection regulations (e.g. GDPR) when you store or process reviews containing personal data. When in doubt, seek legal advice. See also: Is web scraping legal? — Apify blog.

Does TripAdvisor have an official API?

TripAdvisor offers partner and commercial APIs for eligible businesses. This Actor is not an official TripAdvisor product — it automates the public website the way any browser would. Compare the official API's coverage and licensing against your use case before building production pipelines.

Why am I getting blocked or captchas?

Common causes:

• ❌ Datacenter IP — switch to a Residential proxy group.
• ❌ Proxy country mismatch — the Actor auto-aligns the browser's timezone and locale to the proxy exit IP; if you override the proxy country, make sure it is consistent.
• ❌ Cold session on many places — start with one place to warm the session, then add more.
• ❌ Too many retries — if blocks persist after 4 attempts, try a different proxy group or reduce the number of places per run.

Where can I get help?

• 💬 Apify Discord — community help and Apify staff.
• 🐛 Issues tab — report bugs or request features directly on the Actor page.
• 📖 Apify documentation — platform guides, API reference, and SDK docs.

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Resources

• Apify SDK for Python
• Crawlee for Python
• Apify Proxy documentation
• Apify Schedules
• Apify Integrations
• Is web scraping legal?