42+ Users Β· Rated 4.6 β˜…

Scrape Hotel Data Across Multiple Cities & Months

Automatically collect hotel listings from Booking.com across multiple cities and every month β€” prices, ratings, and availability for travel and market analysis.

42+
Total Users
4.6
Star Rating
$20
Per Month
14d
Response Time

Manual Data Collection
Is Killing Your Productivity

  • 🌍

    Multi-City Research Is Overwhelming

    Checking hotel prices across 10+ cities for every month requires thousands of searches.

  • ⏱

    Time Multiplies Per Location

    Each additional city doubles your research time β€” 50 cities is impossible manually.

  • πŸ“Š

    Cross-Market Comparison Is Hard

    Without standardized data, comparing trends between cities is messy and unreliable.

  • πŸ’Έ

    Research Teams Are Expensive

    Hiring teams to cover multiple markets costs thousands monthly.

Manual Research~200 hours
~200 hours
Multi-Area Hotel Scraper~20 min
~20 min
600Γ— Faster
Average time saved scraping 10 cities across 12 months

Automate Your Data Collection

Scrapes hotel listings from Booking.com across multiple cities simultaneously β€” prices, ratings, and availability for every month in a single run.

βœ“
Scrape multiple cities in a single run
βœ“
Full 12-month coverage per location
βœ“
Captures price, rating, availability
βœ“
Built with Python for reliability
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Structured output for market analysis
🌍

City Coverage

London, Paris, NYC, Tokyo...

🏨

Hotel Listings

500+ hotels per city

πŸ’°

Monthly Pricing

$89–$450/night by month

⭐

Guest Ratings

8.2/10 avg across listings

πŸ“…

Availability

Jan–Dec calendar coverage

πŸ“Š

Market Metrics

Avg price, occupancy proxies

Built for Speed, Accuracy & Scale

🌍

Multi-City Scraping

Run a single job covering multiple cities simultaneously.

πŸ“…

12-Month Coverage

Captures data for every month enabling comprehensive seasonal analysis.

⚑

Python-Powered

Built with Python for robust performance and error handling at scale.

πŸ“Š

Structured Output

Clean, standardized format across all cities for easy comparison.

πŸ”„

Auto Pagination

Handles Booking.com pagination to capture every listing.

☁️

Apify Integration

Seamless cloud storage with API access and scheduling.

Trusted Across Industries

01

Multi-Market Analysis

Compare hotel pricing and demand patterns across cities.

Market Intel
02

Travel Industry Reports

Generate comprehensive reports on hospitality trends across regions.

Consulting
03

Dynamic Pricing

Benchmark properties against competitors in every market.

Revenue Mgmt
04

Investment Scouting

Identify underpriced markets by comparing hotel data across cities.

Real Estate

Three Steps to Clean Data

1

Configure Cities

Specify cities and date ranges β€” the Actor handles everything.

2

Multi-City Scraping

Scrapes across all specified cities and months simultaneously.

3

Download Data

Access unified datasets structured for cross-city comparison.

Manual Work vs. Automation

CriteriaManual ResearchMulti-Area Hotel Scraper ✦
Speed 200+ hours for 10 cities ~20 min for 10 cities
Coverage 2–3 cities max Unlimited cities per run
Date Range Spot checks only All 12 months covered
Cost $3,000+ research team $20/month + usage
Data Quality Inconsistent across cities Standardized format
Scalability βœ• Limited by manpower βœ“ Unlimited scale

Stop Manual Work.
Start Extracting Intelligently.

Try it free on Apify β€” no credit card required.

Starting at $20.00/month + usage Β· Free tier available Β· Cancel anytime