TripAdvisor Reviews Scraper: The Fastest, Cheapest and Most Reliable

Built by Agents — Intelligence. Precision. Impact.

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🚀 Overview

Our TripAdvisor Reviews Scraper is engineered for high-performance data extraction, delivering real-time, granular insights to empower:

• Speed: Scrape 100-200 reviews per second
• Precision: Filter by language, ratings, and dates
• Flexibility: Transform data with custom mapping functions
• Rich Data: Access comprehensive review details and metadata

Whether you need to monitor guest sentiment or fuel deep intelligence research, our tool provides actionable review data with unmatched speed and accuracy. Built by Agents—a team of ex-Big Tech engineers and data specialists—this scraper is part of a cross-platform review intelligence suite covering TripAdvisor, Trustpilot, and Yelp.

Agents Review Intelligence Suite

Tool	What It Extracts	Best For
⭐ TripAdvisor Reviews Scraper	Hotel/restaurant reviews, ratings	Hospitality intelligence (You are here)
⭐ Trustpilot Reviews Scraper	Reviews, TrustScores, company replies	SaaS/B2B analysis
⭐ Yelp Reviews Scraper	Yelp reviews, ratings, reviewer profiles	Restaurant/hospitality
🏪 Yelp Business Scraper	Business profiles, ratings, contact	Lead generation

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💰 Pricing

• $0.50 per 1,000 reviews
• Demo Mode Available for Free Users (5 runs per month, each capped at 10 items, API not available)

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🔍 How It Works

1. Set Your Targets:
   Provide TripAdvisor URLs for the reviews you want to extract.

2. Define Your Parameters:
   Configure filters like publication date (since), ratings, languages, and review limits.

3. Run and Analyze:
   Execute the scraper to receive detailed review data at high speed.

Input Definitions

Field	Type	Description	Default
startUrls	array	TripAdvisor URLs from which to extract reviews	[]
since	string	Filter reviews published after this date	null
startPage	number	Starting page number for scraping	1
locale	string	Auto-translate reviews to a target language (TripAdvisor translation). Results may vary — TripAdvisor's translation is unreliable.	none
ratings	string	Filter reviews by specific ratings	[]
languages	array	Filter reviews by language	[]
maxItems	number	Maximum number of reviews to retrieve	Infinity
customMapFunction	string	JavaScript function to transform each output review. Ignored with a warning if it is not a usable function (see Custom Map Function)	null
outputConnector	string	MCP connector to deliver the reviews to (see Send Results to Notion, Todoist and More)	null
deliverTarget	string	Where the connector writes — paste the URL or ID (Notion example: https://www.notion.so/My-Reviews-24f8a1b2c3d44e5f8a9b0c1d2e3f4a5b); some services need none	null
deliverMode	string	perPost (one record per review) or summary (one roll-up per run)	perPost
deliverMaxItems	number	Optional cap on how many records perPost delivers (ignored in summary)	null

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🧩 Custom Map Function

Transform output using the customMapFunction parameter. This JavaScript function receives each review object and returns your desired format-add computed fields, flatten nested data, or remove fields you do not need.

Important: Custom map function is for data transformation-not for filtering. Filtering items may result in automatic restrictions. Returning an empty object does not remove the item from the dataset-it is saved as { "noResults": true } instead.

(object) => ({
  ...object,
  isPositive: object.rating >= 4,
  textLength: object.text?.length ?? 0,
  locationName: object.location?.name,
  location: undefined
})

Requirements & Error Handling

The value must be a single JavaScript function that takes one item and returns the transformed item. Arrow functions and regular functions both work; async and generator functions are not supported.

Limits: the function runs in an isolated sandbox. It must be synchronous and finish within about 1 second per item, and only plain JavaScript is available (no network requests, require or console). Each item is passed in as plain JSON data.

An unusable function never stops your run. The actor logs a warning, ignores the function, and saves the original, unmodified items instead-so you still get your data:

Situation	What happens
Not valid JavaScript (for example, plain text pasted into the field)	Rejected before the first request; original items are saved
Valid JavaScript but not a function (for example, an object)	Rejected before the first request; original items are saved
async or generator function	Rejected before the first request; original items are saved
Returns a Promise (for example, (object) => Promise.resolve(object))	Rejected at that point; the remaining items are saved unmodified
Returns something other than an object (for example, a number or null)	Rejected at that point; the remaining items are saved unmodified
Throws while transforming an item	Rejected at that point; the remaining items are saved unmodified
Takes longer than about 1 second on one item (for example, an endless loop)	Rejected at that point; the remaining items are saved unmodified
Uses date operations (new Date, Date.now, 1970)	Rejected-use the since input to filter by date instead

If your output does not look transformed, check the run log for a warning that starts with Your "customMapFunction" input was rejected:-it explains exactly what was wrong.

If you do not need to transform the output, simply leave this field empty.

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🔗 Send Results to Notion, Todoist and More

Skip the manual exports — the TripAdvisor Reviews Scraper can deliver its results directly into the tools you already work in, through Apify MCP Connectors:

1. Authorize a connector (Notion, Todoist, or any service whose MCP server offers non-destructive write tools) once in Console → Settings → API & Integrations → MCP connectors.
2. Pick it from the Send results to Notion, Todoist, … dropdown.
3. Fill in where and how to write:
   • Destination target — paste the URL or ID (Notion example: https://www.notion.so/My-Reviews-24f8a1b2c3d44e5f8a9b0c1d2e3f4a5b); share it with your connector first via Notion's ••• → Connections menu. For structured columns use a page URL (the Actor builds the database for you) or a database that already has columns — an empty database only receives titles. (Some services need no target.)
   • Write mode — perPost writes one record per review; summary writes a single roll-up for the run.
   • Max records to deliver (optional) — cap on how many records perPost delivers.

Notion, structured like a spreadsheet: for a table of typed columns, point the target at a Notion page — the Actor auto-creates a database from the data, one matching, correctly-typed column per field (URL, number, date, text). Pointing at an existing database fills the columns it already has (matched by name); an empty database receives only the title, and the rest of each record goes to the row body — the connector can't add columns to an existing database without destructive access it never requests. Nested fields such as userProfile or location are flattened into columns too, so everything is sortable and filterable in the grid. Fields that don't fit a column go to the row's page body, so nothing is lost.

Your credentials stay yours: the Actor talks to your services exclusively through your own authorized connector and only ever uses non-destructive write tools — it cannot delete or overwrite anything you already have. Delivery is best-effort and runs after the scrape: if a connector is misconfigured or a delivery fails, your run still finishes normally with all results intact — the failure is reported in the run log, never by failing the run. If the run is about to hit its timeout, delivery stops early so the run still succeeds, and the log tells you how many records were delivered.

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⚙️ Sample Output

A typical review appears as follows:

{
    "id": "986902418",
    "createdDate": "2024-12-29",
    "publishedDate": "2024-12-29",
    "rating": 5,
    "title": "Great staff",
    "text": "Jeffrey is great! Experienced some minor error during check in...",
    "language": "en",
    "username": "songh455",
    "location": {
      "name": "SpringHill Suites New York Manhattan/Times Square South"
    }
}

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👍 Who Benefits

• Data Scientists: Uncover patterns and drive actionable decisions
• Academic Researchers: Gather empirical data for studies
• Hospitality Professionals: Monitor guest feedback
• Market Researchers: Extract competitive intelligence
• Reputation Managers: Track guest sentiment across properties
• Travel Industry Analysts: Benchmark competitors and identify trends

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🛠 Troubleshooting & Tips

• Result Quantity Adjustments:
  Adjust the maxItems parameter if you receive unexpected quantities. Excess data is free—you'll only be billed for your specified amount.

• Missing Data?
  Check the Storage tab for complete results. Verify your input parameters for accuracy.

• Need Help?
  Our support team is ready to assist with any issues or questions.

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📌 Contact & Support

Built by Agents — Where others search, we uncover. Our team of ex-Big Tech engineers, growth hackers, and data specialists builds high-performance scraping tools engineered for speed, precision, and reliability.

For questions or further assistance:

• Discord: Join our community to connect with our support team
• Email: Reach out at whoaretheagents@gmail.com

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Ready to start extracting TripAdvisor review data? With simple per-review pricing, demo mode for free testing, and no API required, this TripAdvisor Reviews Scraper by Agents is the ultimate tool for hospitality intelligence, guest sentiment analysis, and competitive benchmarking. Start scraping today! ⭐