Booking Price Monitor · Hotel Rate Tracker

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.

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Who is this for?

You are…	Typical goal	Suggested setup
STR / hotel revenue manager	Benchmark your property against the market for coming months	City search URL with your star/type filters
Property management agency	Weekly pricing report for client portfolios across multiple cities	One URL per market · schedule every Monday
Real estate investor	Validate projected hotel revenues before purchase	City URL with price range filter · run once
Travel agency / OTA analyst	Monitor seasonal rate trends and discount windows	City URL · review windowSummary in run log
Data analyst / BI team	Feed price time-series into a dashboard	API integration · flat-prices view
Competitive intelligence team	Track competitor pricing by stars, type, or neighbourhood	Filtered Booking.com URL with your criteria

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.

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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.

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What it extracts

Per property

Field	Description
propertyName	Property display name
propertyUrl	Direct link to the Booking.com property page
city	City
starRating	Star rating (1–5)
rating	Guest review score (e.g. 8.4)
reviewCount	Number of reviews
latitude / longitude	GPS coordinates
distanceFromCenter	Distance from city centre (e.g. "1.8 km from centre")
currency	ISO currency code (e.g. EUR, USD)
avgPrice1N / minPrice1N / maxPrice1N	Avg / min / max nightly rate across all 1-night windows
avgPrice2N / minPrice2N / maxPrice2N	Same for 2-night stays
avgPrice7N / minPrice7N / maxPrice7N	Same for 7-night stays
weeklyDiscountPct	% cheaper per night for 7-night vs 1-night stays
maxDiscountPct	Largest discount detected across all windows (vs original price)
hasPromo	Promo badge detected (e.g. "Limited Time Deal")
freeCancellation	Free cancellation available on at least one window
noPrepayment	Pay on arrival available on at least one window
priceSamples	Number of date/duration windows where a price was found
priceByWindow[]	Array — one entry per (checkin, checkout, nights) configuration
scrapedAt	ISO timestamp of the run

priceByWindow array entry

Field	Description
checkin	Check-in date (YYYY-MM-DD)
checkout	Check-out date
nights	Stay duration (1, 2, or 7)
pricePerNight	Price per night for this window
totalPrice	Total stay price
discountPct	% discount vs original price (0 if no discount)
hasPromoFlag	Promo badge present for this specific window
currency	Currency for this window

Market summary (in run log)

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

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

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Input

Parameter	Type	Default	Description
searchUrls	array	—	Booking.com search URLs. Paste one or more.
maxProperties	number	0	Max properties per URL. 0 = no cap (up to ~930, Booking.com backend limit). API-only.
verboseLogs	boolean	false	Log per-page debug details. API-only.

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"]
}

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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.

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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.

priceSamples	Interpretation
1–3	Limited availability — appeared in few windows
4–9	Good coverage across date windows
10–15	Available across all or most windows

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

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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" }
  ]
}

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Dataset views

View	Best for
Overview	Comparing properties side by side — avg prices, discounts, promo flags
Flat prices	Date-level analysis, pivot tables, Excel / Sheets import

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Performance and cost

Scenario	Properties	Time (Apify cloud)
Paris full market (5 windows × 3 durations)	~740	~20 s
Marbella, Spain	~300	~10 s
3 cities in one run	~2,000	~60 s

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.

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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.

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How much does it cost?

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

Plan	Price per property
FREE	$0.00399
BRONZE	$0.00349
SILVER	$0.00299
GOLD	$0.00249
PLATINUM / DIAMOND	$0.00199

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

Typical cost

Scenario	Properties	FREE	BRONZE	GOLD
Test run — Paris, 50 properties	50	~$0.25	~$0.22	~$0.17
Full city scan — Paris	~740	~$3.00	~$2.63	~$1.89
Full city scan — Marbella	~300	~$1.25	~$1.10	~$0.80
3 cities in one run	~2,000	~$8.03	~$7.03	~$5.05

All figures include the $0.05 actor-start charge.

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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.

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Local development

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

Or use the Apify CLI:

$apify run

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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.

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Support

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