Booking.com Hotel Scraper by nexgendata

Scrape Booking.com for hotel listings with prices, review scores, availability, and property details. Search any destination worldwide with optional check-in and check-out dates to get real-time pricing data. Built for hotel revenue managers, travel industry analysts, and anyone who needs structured accommodation pricing data at scale.

Booking.com lists over 28 million accommodation options across 226 countries and territories, making it the largest online travel agency by room count. The platform's pricing data reflects real-time market rates that hotels, vacation rentals, and alternative accommodations are actually charging. This makes Booking.com data uniquely valuable for pricing intelligence — unlike list prices or rack rates, these are the prices travelers actually see and book at. This actor extracts that pricing data into structured JSON for analysis.

How It Works

Enter a destination — a city name, region, or specific location — and optionally provide check-in and check-out dates. The actor searches Booking.com and extracts property data from the search results. Each listing includes the property name, nightly price, review score, review count, distance from center, and a direct URL to the property page. When dates are provided, prices reflect actual availability and rate for those specific dates.

The actor first attempts to extract data from structured JSON-LD embedded in the page source, which provides the most reliable and consistent data format. When structured data is unavailable, it falls back to parsing the property card elements directly from the HTML. Both methods return the same standardized output format.

Who Uses This

Revenue managers at hotel chains and independent properties use Booking.com pricing data to set competitive rates. When a revenue manager can see what every competing hotel within a two-mile radius charges for a Tuesday night in April, they can position their own pricing with precision rather than guesswork. This actor enables daily or weekly rate audits across hundreds of competitive properties simultaneously.

Online travel agencies and metasearch engines monitor Booking.com pricing to ensure their own rates are competitive. Travel industry analysts track accommodation pricing trends across markets to advise hospitality investors and operators. Short-term rental operators on platforms like Airbnb and Vrbo use hotel pricing data as a benchmark for their own rate strategies.

Real estate investors evaluating hotel acquisition targets use Booking.com data to assess market positioning, pricing power, and competitive density. Destination marketing organizations monitor accommodation pricing to understand tourism economics in their region. Corporate travel managers track hotel rates across their commonly booked destinations to negotiate better corporate rates.

Pricing

This actor costs $5 per 1,000 results. Monitoring 200 hotels in a single city costs $1 per run. A weekly competitive audit across 20 cities (4,000 properties) costs $20/week. Monthly rate monitoring for a hotel chain tracking 500 competitor properties runs $2.50/month. Commercial hotel rate intelligence services charge $500-5,000/month for similar data — this delivers the same information at a fraction of the cost.

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💻 Code Example — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/booking-com-scraper").call(run_input={
    # Fill in the input shape from the actor's input_schema
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

🌐 Code Example — cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~booking-com-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ /* input schema */ }'

❓ FAQ

Q: How do I get started? Sign up at apify.com, grab your API token from Settings → Integrations, and run the actor via the Apify console, API, Python SDK, or any integration (Zapier, Make.com, n8n).

Q: What's the typical cost per run? See the pricing section below. Most runs finish under $0.10 for typical batches.

Q: Is this actor maintained? Yes. NexGenData maintains 140+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get responses within 24 hours.

Q: Can I use the output commercially? Yes — you own the output data. Check the target site's Terms of Service for any usage restrictions on the scraped content itself.

Q: How do I handle rate limits? Apify manages concurrency and retries automatically. For very large batches (10K+ items), run multiple smaller jobs in parallel instead of one mega-job for better reliability.

💰 Pricing

Pay-per-event pricing — you only pay for what you actually extract.

• Actor Start: $0.0050
• result: $0.0150

🔗 Related NexGenData Actors

• TripAdvisor Scraper
• Airbnb Scraper
• Google Maps Lead Scraper

🚀 Apify Affiliate Program

New to Apify? Sign up with our referral link — you get free platform credits on signup, and you help fund the maintenance of this actor fleet.

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Built and maintained by NexGenData — 140+ actors covering scraping, enrichment, MCP servers, and automation.