Booking Price Monitor · Hotel Rate Tracker

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Track hotel prices across any Booking.com market. Paste a city search URL — get avg, min, max rates per property across 15 date windows (3 stay durations × 5 upcoming periods) with automatic discount detection.

No login. No API key. No account required.

Who is this for?

What you get by default — property name, star rating, review score, coordinates, avg/min/max nightly rate for 1-night, 2-night, and 7-night stays, weekly discount %, max discount %, promo badge detection, free cancellation flag, pay-on-arrival flag, and a full priceByWindow[] array (one entry per date/duration combination).

Coverage: runs 15 search configurations per URL — 3 stay durations (1N, 2N, 7N) × 5 date windows (J+7, J+14, J+30, J+60, J+90 from today). Properties that only appear for specific stay durations are captured automatically.

Quick start

1. Open the Actor in Apify Console and click Try for free
2. Go to booking.com, search for a city, apply any filters you want (stars, property type, neighbourhood…), and copy the URL from your browser
3. Paste it in the Booking.com search URL(s) field
4. Click Start — results appear in the Dataset tab within a few minutes
5. Use the Overview view to compare properties side by side, or Flat prices for a date-by-date spreadsheet

Tip: Your filters (guest count, star rating, property type, neighbourhood…) are automatically preserved in the search.

What it extracts

Per property

priceByWindow array entry

Market summary (in run log)

At the end of each market scan, the run log prints:

─── Market Summary ──────────────────────────────────────────────────────────────
 Properties withprices:743/743
 Free cancellation :49%
 With active discount :31%
 With promo badge :23%
 Avg price by check-indate(2-night stays):
2026-06-19:403EUR/night(743 properties)
2026-06-26:385EUR/night(692 properties)
2026-07-12:391EUR/night(678 properties)
2026-08-11:420EUR/night(621 properties)
2026-09-10:372EUR/night(589 properties)
────────────────────────────────────────────────────────────────────────────────

Input

Input examples

Monitor a city market:

{
"searchUrls":["https://www.booking.com/searchresults.html?ss=Barcelona%2C+Spain"]
}

Monitor multiple cities at once:

{
"searchUrls":[
"https://www.booking.com/searchresults.html?ss=Paris%2C+France",
"https://www.booking.com/searchresults.html?ss=Lisbon%2C+Portugal"
]
}

Monitor 4-star hotels only (with star filter applied on Booking.com):

{
"searchUrls":["https://www.booking.com/searchresults.html?ss=Rome%2C+Italy&nflt=class%3D4"]
}

How it works

1. URL parsing — extracts destination, guest count, and all filters from the pasted URL
2. Date window generation — builds 15 configurations: 1N/2N/7N stays × J+7/J+14/J+30/J+60/J+90 from today
3. GraphQL fetch — calls Booking.com's internal /dml/graphql endpoint (HTTP-only, no browser needed) for each configuration with full pagination
4. Deduplication — properties found across multiple windows are merged by pageName
5. Aggregation — computes avg/min/max per stay duration, weekly discount, max discount, promo flag
6. Dataset push — one row per property; market summary printed to run log

Why 3 stay durations? Booking.com returns different property sets depending on stay length — a property with a 3-night minimum stay is invisible in 1-night searches. Running all three durations guarantees maximum market coverage.

Data quality — what priceSamples means

A property only appears in a search window when it is available and priced for those exact dates. A fully-booked hotel for the next month appears in fewer windows.

For deep per-date analysis, see the Flat prices dataset view.

Output sample

{
"propertyName":"Saphir Grenelle",
"propertyUrl":"https://www.booking.com/hotel/fr/saphirgrenelle.html",
"city":"Paris",
"starRating":3,
"rating":7.2,
"reviewCount":1720,
"latitude":48.8484,
"longitude":2.2971,
"distanceFromCenter":"4.1 km from centre",
"currency":"EUR",
"avgPrice1N":173.9,
"minPrice1N":140.66,
"maxPrice1N":197.36,
"avgPrice2N":179.81,
"minPrice2N":144.71,
"maxPrice2N":205.46,
"avgPrice7N":209.7,
"minPrice7N":196.2,
"maxPrice7N":223.2,
"weeklyDiscountPct":0,
"maxDiscountPct":0,
"hasPromo":false,
"freeCancellation":false,
"noPrepayment":false,
"priceSamples":11,
"scrapedAt":"2026-06-13T09:48:01.831Z",
"priceByWindow":[
{"checkin":"2026-06-19","checkout":"2026-06-20","nights":1,"pricePerNight":197.36,"totalPrice":197.36,"discountPct":0,"hasPromoFlag":false,"currency":"EUR"},
{"checkin":"2026-06-19","checkout":"2026-06-21","nights":2,"pricePerNight":205.46,"totalPrice":410.92,"discountPct":0,"hasPromoFlag":false,"currency":"EUR"},
{"checkin":"2026-06-19","checkout":"2026-06-26","nights":7,"pricePerNight":223.2,"totalPrice":1562.42,"discountPct":0,"hasPromoFlag":false,"currency":"EUR"}
]
}

Dataset views

Performance and cost

Runs are HTTP-only (no browser) — 256 MB memory, high concurrency.

No residential proxy needed — Booking.com's GraphQL endpoint is not gated by the HTML WAF. The actor works reliably without any proxy configuration.

Set up automated weekly monitoring

Most users run this actor on a schedule — once a week per city — and store results over time to track price trends.

Step-by-step in Apify Console:

1. Open the Actor and click Schedule (top right)
2. Set the frequency — every Monday at 08:00 is the most common for weekly reports
3. Paste your search URL(s) in the input
4. Save — the actor will run automatically and push data to the same dataset each time

Track trends across runs with the API:

Each run appends to the default dataset. Query it via the Apify API and filter by scrapedAt to build a time-series:

$curl"https://api.apify.com/v2/datasets/{datasetId}/items?token={token}&fields=propertyName,avgPrice1N,scrapedAt"

Tip: use the flat-prices dataset view to get one row per property per date window — ideal for feeding directly into Excel, Google Sheets, or a BI tool.

How much does it cost?

You pay per hotel row successfully written to the dataset. Properties with no price are never billed.

Plus a one-time $0.05 actor start charge (same across all plans).

Typical cost

All figures include the $0.05 actor-start charge.

Is it legal to scrape Booking.com?

This Actor only accesses data that Booking.com makes publicly available on its search results pages — property names, star ratings, review scores, publicly listed prices, and publicly visible policies (free cancellation, etc.). No login, account, or credentials are required or used.

As with any data, ensure your use complies with applicable regulations, including GDPR where personal data may be involved.

Local development

npminstall
# Edit storage/key_value_stores/default/INPUT.json with your test URLs
node src/main.js

Or use the Apify CLI:

$apify run

Also available

• Booking.com Hotel Search Scraper — Search any destination and export all hotels with prices, ratings, policies, and coordinates. Beats the 1,000 result cap.
• Booking.com Availability Monitor — Day-by-day availability calendar with sold-out detection for up to 180 days ahead.
• Booking Reviews Scraper — All guest reviews for any Booking.com property, with sentiment and contact enrichment.
• Booking Pro Host Scraper — Professional host contacts (emails, phones, company names) from Booking.com markets.
• Airbnb Price Monitor — Same concept for Airbnb: nightly rates, availability, discount detection.

Support

Custom scraper or tailored automation? Contact corentin@outreacher.fr.