extracto.cloud

Tripadvisor Reviews

Collect Tripadvisor reviews for hotels, restaurants and attractions, including ratings, dates and review text.

Current pricing: $0.05 / 1,000 Review · minimum $0.010 per non-empty task. Review the estimate before running.

tripadvisor-reviews

Endpoint

Method

POST

URL

https://extracto.cloud/api/v1/parsers/tripadvisor-reviews

Result delivery

Add webhook_url and optional webhook_secret to receive the saved result. Webhook setup and signatures →

Auth

X-API-KEY: ext_...

Response

{
  "success": true,
  "tool": "tripadvisor-reviews",
  "parser": "tripadvisor-reviews",
  "count": 0,
  "data": []
}

Documentation

# Tripadvisor Reviews Scraper

Get and download reviews for chosen places on Tripadvisor. Extract the review text, URL, rating, date of travel, published date, basic reviewer info, owner's response, helpful votes, images, review language, place details. Download reviews in XML, JSON, CSV.

Crawler to get and download Tripadvisor reviews data. Get review text, basic reviewer info, place details, published date, rating and more.

## Tripadvisor Reviews Scraper

Tripadvisor Reviews Scraper extracts structured review and place data from TripAdvisor place pages: it crawls place listings and returns per-review content (review text, title, publication date, travel date, language/translation flag, helpful vote counts, rating), reviewer profile metadata (username, contribution counts, location, avatar), owner responses with timestamps, review subratings, attached photos with metadata, and place-level information (name, address, coordinates, website, total review counts). The Actor supports scraping multiple place pages and can be configured to limit the number of reviews and to start from a specific date, producing large-scale collections of review records suitable for sentiment analysis, competitive monitoring, market research, trend detection, lead generation, and other hospitality/tourism analytics.

## Use cases

- Tracking competition and finding alternative properties or services  
- Market research and analysis by price, rating, popularity, and recency  
- Identifying emerging areas and trends across tourism and hospitality  
- Building custom databases for brand sentiment analysis and NLP workflows  
- Generating leads from reviewer or place signals

Categories: TRAVEL

Default run options:
```json
{
    "build": "latest",
    "timeoutSecs": 604800,
    "memoryMbytes": 2048
}
```

Pricing information is copied from provider metadata and may change.

Request Body

{
  "input": {
    "startUrls": [
        {
            "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
        }
    ],
    "sourceDatasetId": "",
    "maxItemsPerQuery": 50,
    "scrapeReviewerInfo": true,
    "lastReviewDate": "2024-01-01",
    "disableMachineTranslations": false,
    "reviewRatings": [
        "ALL_REVIEW_RATINGS"
    ],
    "reviewsLanguages": [
        "ALL_REVIEW_LANGUAGES"
    ]
}
}

cURL

curl -X POST https://extracto.cloud/api/v1/parsers/tripadvisor-reviews \
  -H "X-API-KEY: ext_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"input":{"startUrls":[{"url":"https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"}],"sourceDatasetId":"","maxItemsPerQuery":50,"scrapeReviewerInfo":true,"lastReviewDate":"2024-01-01","disableMachineTranslations":false,"reviewRatings":["ALL_REVIEW_RATINGS"],"reviewsLanguages":["ALL_REVIEW_LANGUAGES"]}}'