Booking.com Scraper — Hotels, Prices, Reviews, Availability

Travel researcher, price-monitoring analyst, or OTA competitor? Stop pasting hotel data into spreadsheets by hand. This actor pulls structured Booking.com listings — title, price, rating, review count, amenities, location, availability — for any destination + date combo, on demand.

78 actors in this Apify Store / 251+ combined real runs (Trustpilot, Reddit, Google News, Glassdoor, Email Extractor, HN, Bluesky).

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Why this actor exists (the problem it solves)

Booking.com has no public API for affiliates below partner-tier volume. Everyone else:

• Copies rates by hand from 20+ tabs,
• Pays $500+/month for OTA data feeds they don't fully own,
• Or hires a freelancer who returns a CSV two weeks later.

This actor is the lightweight middle path — input a destination list, get JSON/CSV in ~2-5 minutes, keep the code/output.

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What it scrapes

For each property on the results page:

• name, url, rating (0–10), reviewCount
• priceDisplay (as shown to the user, currency-preserving)
• location (neighborhood + city), distanceFromCenter
• amenities (free wifi, breakfast, parking, pool, pet-friendly, etc.)
• availability flag + roomsRemaining when surfaced
• searchMetadata (destination, checkIn, checkOut, adults, rooms)

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Input (defaults prefilled — just click Run)

Field	Type	Default	Notes
destinations	string[]	["New York"]	Pre-fill: New York, London, Tokyo
checkIn	YYYY-MM-DD	tomorrow	Auto-filled if empty
checkOut	YYYY-MM-DD	day after tomorrow	Auto-filled if empty
adults	int	2	1–10
rooms	int	1	1–10
maxResults	int	per-destination cap	Controls cost ceiling

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Common buyer questions (answered)

Q1 — "Is this legal / Booking-friendly?"

The actor only fetches publicly-rendered search results pages — the same pages any traveler sees. No auth bypass, no personal-data extraction, no rate bombing (polite default delays). Use it for market research, price benchmarking, or internal dashboards; do not resurface content as your own OTA. Respect Booking.com's robots.txt and your jurisdiction's data-reuse rules.

Q2 — "How fresh are the prices?"

Every run is live — Booking.com prices change minute-to-minute based on availability. Run the actor when you need the snapshot. For monitoring, use Apify's built-in scheduler (e.g. every 6h) to persist diffs to your dataset.

Q3 — "Can it handle 100 destinations × 30 date-combinations?"

Yes, but cost and runtime scale linearly. Start with a 3-destination × 3-date pilot (~2 minutes). For production, use maxResults + schedule batched runs to stay within your Apify compute budget.

Q4 — "The default schema doesn't match my data warehouse. Can I customize?"

Yes — fork the actor or hire a 48-hour custom build. Send your target schema (Parquet / Postgres DDL / GCS JSON) and I'll fit the output to it.

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Pilot pricing — custom travel-data pipelines

• Single actor or schema fork: $100 pilot (3-business-day delivery)
• 3-actor monitoring bundle (Booking + competitor OTA + price-diff): $150 pilot
• Ongoing monitoring + Slack alerts + BI dashboard: quoted on scope

Email spinov001@gmail.com with your destinations + target schema. Include timezone + update cadence.

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Output example (truncated)

{
  "name": "Hotel Indigo Manhattan Downtown",
  "url": "https://www.booking.com/hotel/us/indigo-manhattan-downtown.html",
  "rating": 8.4,
  "reviewCount": 2147,
  "priceDisplay": "US$289",
  "location": "Lower Manhattan, New York",
  "distanceFromCenter": "1.2 km from center",
  "amenities": ["Free WiFi", "24h reception", "Fitness center"],
  "availability": true,
  "roomsRemaining": 4,
  "searchMetadata": {
    "destination": "New York",
    "checkIn": "2026-04-23",
    "checkOut": "2026-04-24",
    "adults": 2,
    "rooms": 1
  }
}

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Disclosure

I maintain and sell custom versions of this actor on Apify Store. Links above direct to my portfolio.

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Portfolio: apify.com/knotless_cadence — 78 actors, travel / e-commerce / news / b2b categories Contact: spinov001@gmail.com · Channel: t.me/scraping_ai