Booking.com Hotel Price Tracker

Booking.com Hotel Price Tracker

Tracks hotel prices on Booking.com across a configurable date range for any destination — no account or login required — and returns structured JSON with hotel name, nightly price, check-in/check-out dates, and a direct hotel URL.

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What you get

• Scrapes Booking.com search results for any city or destination
• Tracks daily nightly prices over a custom date range (days, weeks, or months)
• Configurable stay duration, number of adults, and children
• Optional hotel name filter — monitor specific properties or collect all results
• Outputs clean, structured JSON ready for analysis or export
• Uses stealth browser automation to handle JavaScript-rendered pages

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What data does it extract?

Each result contains:

Hotel info: hotel name, direct Booking.com URL

Pricing: nightly price (EUR), price tier category

Stay details: check-in date, check-out date

Metadata: search results URL, scrape timestamp

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Use cases

• Price monitoring: Track how a hotel's nightly rate changes week-over-week or month-over-month
• Competitive analysis: Compare pricing across all hotels in a destination for any date range
• Travel planning: Find the cheapest dates to stay at a specific hotel or in a city
• Revenue management: Monitor competitor pricing as part of a hotel revenue strategy
• Market research: Aggregate hotel pricing data across a destination for hospitality analysis

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How to use

1. Click Try for free above
2. In the Input tab, enter a Location (e.g. Paris, France or Miami Beach)
3. Set a Start Date and End Date for the date range you want to track
4. Optionally set Nights Per Stay, Adults, Children
5. Optionally add hotel names to Target Hotels to filter results to specific properties
6. Click Start and wait for the run to complete
7. Download your results as JSON, CSV, or Excel from the Output tab

Tip: For runs covering more than 30 days, enable Apify Proxy (Residential) in the proxy settings to reduce the chance of blocks.

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Input parameters

Parameter	Type	Required	Default	Description
location	String	Yes	"St. Julian's, Malta"	City, region, or destination to search on Booking.com. Example: "New York", "Paris, France"
startDate	String	No	Today	First check-in date to track (YYYY-MM-DD).
endDate	String	No	6 months from today	Last check-in date to track (YYYY-MM-DD).
nightsPerStay	Integer	No	1	Number of nights per stay (1–30). Checkout = checkin + nightsPerStay.
adults	Integer	No	2	Number of adult guests (1–30).
children	Integer	No	0	Number of child guests (0–10).
targetHotels	Array of strings	No	[] (all hotels)	Hotel names to filter. Leave empty to return all hotels in the search results. Example: ["Hilton Garden Inn", "Marriott"]
maxRequestsPerCrawl	Integer	No	200	Maximum search pages to process. One page per check-in date.
proxyConfigurationOptions	Object	No	No proxy	Proxy settings. Residential proxy is recommended for large date ranges.

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Output example

{
  "title": "Grand Hotel Excelsior",
  "url": "https://www.booking.com/hotel/mt/grand-hotel-excelsior.html",
  "price": "$189",
  "checkinDate": "2025-07-15",
  "checkoutDate": "2025-07-16",
  "priceTier": "10-15",
  "searchUrl": "https://www.booking.com/searchresults.html?ss=Malta&checkin=2025-07-15&checkout=2025-07-16&group_adults=2&group_children=0",
  "timestamp": "2025-07-01T10:23:45.123Z"
}

priceTier values:

Value	Price Range
1-5	Under €50/night
5-10	€50–€100/night
10-15	Over €100/night
N/A	Price could not be extracted

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Pricing

This Actor is free to use — you only pay for Apify platform compute time and proxy usage.

• A typical run covering 30 days processes ~30 pages and costs approximately $0.10–$0.30 in Apify credits
• A 6-month run (180 pages) costs approximately $0.50–$1.50 depending on proxy usage
• New Apify accounts receive $5 in free credits — enough for several full date-range runs

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Technical notes

• No account needed: This Actor does not require a Booking.com login or cookies
• Residential proxies: Recommended for runs over 30 days to avoid rate limiting. Enable in the proxy settings
• Hotels filter: Booking.com results are filtered to hotels only (ht_id=204). Apartments and other accommodation types are excluded
• Price currency: Prices are extracted in EUR as displayed by Booking.com
• JavaScript rendering: Uses headless Chromium with stealth mode to handle Booking.com's dynamic content
• Rate limits: For very large runs (180+ pages), increase Actor memory to 2 GB and use residential proxies
• Data freshness: All data is scraped live — no cached results

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Support

Have questions or found a bug? Reach out:

• Email: ScrapySpider@protonmail.com
• Website: ScrapySpider.com
• Response time: Within 24–48 hours on weekdays