Booking Reviews Scraper

Export public Booking.com guest reviews from hotel and destination review pages to CSV, JSON, Excel, or API workflows.

Use this Actor to monitor hotel reputation, analyze guest feedback, compare traveler sentiment, or feed public Booking.com reviews into BI and support workflows.

Who is it for?

• Hotel operators tracking guest satisfaction and recurring issues.
• Travel reputation teams exporting public guest feedback for reporting.
• OTAs, tourism researchers, and analysts comparing review signals by property or market.
• Automation teams feeding Booking.com review datasets into dashboards, alerts, or LLM workflows.

Input recipes

• Smoke test: one Booking.com hotel URL, maxReviews: 10.
• Hotel monitoring: add one or more public Booking.com hotel pages and schedule repeat runs.
• Destination research: add public Booking.com review pages for a city or market and cap saved reviews.

Example input

{
  "startUrls": [
    { "url": "https://www.booking.com/hotel/us/the-new-yorker.html" }
  ],
  "maxReviews": 10,
  "sort": "source",
  "language": "en-US",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example output

{
  "hotelUrl": "https://www.booking.com/hotel/us/the-new-yorker.html",
  "hotelName": "The New Yorker, Whitefish (updated prices 2026)",
  "reviewId": "https://www.booking.com/hotel/us/the-new-yorker.html#review-1",
  "reviewTitle": null,
  "reviewText": "Guest review text from Booking.com...",
  "score": 9.0,
  "reviewerName": null,
  "reviewerCountry": null,
  "scrapedAt": "2026-07-12T08:30:00.000Z"
}

What data can you extract?

Tips and limits

• Start with maxReviews: 10 for the first run.
• Use only public Booking.com pages; the Actor does not use accounts, cookies, or private credentials.
• Large runs may need residential proxy bandwidth, so scale gradually after checking output quality.

API usage

Node.js:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/booking-reviews-scraper').call({
  startUrls: [{ url: 'https://www.booking.com/hotel/us/the-new-yorker.html' }],
  maxReviews: 10,
});
console.log(run.defaultDatasetId);

Python:

from apify_client import ApifyClient
client = ApifyClient('APIFY_TOKEN')
run = client.actor('fetch_cat/booking-reviews-scraper').call(run_input={
    'startUrls': [{'url': 'https://www.booking.com/hotel/us/the-new-yorker.html'}],
    'maxReviews': 10,
})
print(run['defaultDatasetId'])

cURL:

curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~booking-reviews-scraper/runs?token=APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"startUrls":[{"url":"https://www.booking.com/hotel/us/the-new-yorker.html"}],"maxReviews":10}'

MCP / agent usage

Use the Apify MCP server with ?tools=fetch_cat/booking-reviews-scraper to let agents run Booking.com review exports and retrieve datasets.

Claude CLI add command:

claude mcp add apify-booking-reviews https://mcp.apify.com/?tools=fetch_cat/booking-reviews-scraper

JSON config block:

{
  "mcpServers": {
    "apify-booking-reviews": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/booking-reviews-scraper"
    }
  }
}

Example prompts:

• "Run Booking Reviews Scraper for this Booking.com hotel URL and summarize low-score complaints."
• "Export 25 public Booking.com reviews and return the dataset URL."

Legality and responsible use

This Actor extracts publicly available Booking.com review information. Use it responsibly, respect Booking.com terms, avoid collecting personal data you do not need, and comply with privacy laws and internal retention policies.

Support

Questions or issues? Open an issue on the Actor page in Apify Console and include:

• run ID
• input JSON
• reproducible public URL
• expected output
• actual output