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URL: https://apify.com/runtime/booking-scraper

โ‡ฑ Booking.com Scraper for Hotel Prices & Reviews ยท Apify


๐Ÿ‘ Booking.com Scraper for Hotel Prices & Reviews avatar

Booking.com Scraper for Hotel Prices & Reviews

Pricing

$29.00/month + usage

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Booking.com Scraper for Hotel Prices & Reviews

Extract Booking.com hotel search results with prices, ratings, review counts, addresses, coordinates, direct hotel URLs, filters, and optional room details.

Pricing

$29.00/month + usage

Rating

1.2

(2)

Developer

๐Ÿ‘ scraping automation

scraping automation

Maintained by Community

Actor stats

3

Bookmarked

72

Total users

1

Monthly active users

6 hours ago

Last modified

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Extract hotel search results from Booking.com with prices, ratings, addresses, coordinates, and room signals.

Who this is for

  • Travel data teams
  • Revenue managers
  • Hotel market analysts
  • Competitor monitoring teams

What it helps you do

  • Track hotel prices by destination and date
  • Compare ratings, review counts, locations, and amenities
  • Collect structured hotel data for travel dashboards

Inputs you can use

  • Destination or Booking.com URL
  • Check-in and check-out dates
  • Adults, children, and rooms
  • Maximum hotels

Data you get

  • hotel name
  • hotel URL
  • price
  • rating
  • review count
  • address
  • coordinates
  • room details

How to get better results

  • Start with a narrow, specific query or a small list of source URLs.
  • Use realistic limits for the first run, then increase the volume once the output looks right.
  • Keep source URLs, dates, and location context when you need repeatable market monitoring.
  • Review a few sample records before connecting the dataset to a larger workflow.

Notes

  • Results depend on what the public source exposes at run time.
  • Some pages may hide, delay, rename, or remove fields, so individual records can have partial data.
  • Use the built-in output table to inspect results before exporting to spreadsheets, dashboards, or automation tools.

Support

If a run returns unexpected data, open an issue from the Actor page with the input used, the run ID, and the result you expected.

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