No-Code scraper · JSON API

Tripadvisor Reviews Scraper

Collect Tripadvisor hotel, restaurant and attraction reviews with ratings, publication dates and place details.

JSON CSV & XLSX API access

Read the API reference →

From web pages to a dataset

What you can do

Compare public reviews for selected places.

Research travel and hospitality feedback.

Export review data for your reporting tools.

Set your sources

Open the scraper and enter your own URLs, search terms and limits.

Review & run

Check the cost estimate and confirm the task. Follow its progress in your account.

Use your data

Explore saved results and export CSV, JSON or XLSX. Downloads of saved results are free.

Know what to expect

Sample data & output fields

Illustrative example

These example values demonstrate the data shape; they are not a live scraper result. Available fields depend on the source, selected options and upstream data.

JSON · illustrative result

[
  {
    "review_id": "example-001",
    "place_name": "Example place_name",
    "title": "Example title",
    "text": "Illustrative content for this example.",
    "rating": 4.5,
    "published_date": "2026-01-15T12:00:00Z"
  }
]

Field	Type	Description
`review_id`	string	Review id.
`place_name`	string	Place name.
`title`	string	Title.
`text`	string	Text.
`rating`	number	Rating.
`published_date`	string	Published date.

Start with a real configuration

Example input

This is the configured parser input. Replace the example sources with your own and review all limits before running.

JSON · example input

{
  "startUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g60763-d93589-Reviews-The_Michelangelo_Hotel-New_York_City_New_York.html"
  ],
  "maxReviewsPerPlace": 50
}

Explore input fields

Field	Type	Notes
`startUrls`	array	One or more TripAdvisor place URLs — hotels (Hotel_Review-…), restaurants (Restaurant_Review-…), or attractions (Attraction_Review-…). Any tripadvisor.com page URL of the place works; the actor follows redirects to the canonical page.
`maxReviewsPerPlace`	integer	Hard cap on reviews scraped per place (cost/safety guard). Defaults to 50 for a fast first run — set 0 to pull EVERY review of the place.

The same scraper in your application

Run through the API

Create an API key in your account, send the input to the queued endpoint and use the returned task ID to retrieve results. Sending a live request uses credits.

cURL · queue a task

curl --request POST 'https://extracto.cloud/api/v1/parsers/tripadvisor-reviews-scraper/queue' \
  --header 'X-API-KEY: ext_your_api_key' \
  --header 'Content-Type: application/json' \
  --header 'Accept: application/json' \
  --data-binary @- <<'JSON'
{
  "input": {
    "startUrls": [
      "https://www.tripadvisor.com/Hotel_Review-g60763-d93589-Reviews-The_Michelangelo_Hotel-New_York_City_New_York.html"
    ],
    "maxReviewsPerPlace": 50
  }
}
JSON

Configure your task API quickstart

Your next dataset starts here.

Choose your sources, review the price and run Tripadvisor Reviews Scraper.

Open scraper