Airbnb Full Year Price Tracker Scraper

🏡 What does Airbnb Full Year Price Tracker Scraper do?

The Airbnb Full Year Price Tracker Scraper 📊 is a powerful automation tool that collects 12 months of Airbnb pricing data for any listing. Instead of manually checking daily or seasonal rates, this scraper gathers year-round prices, availability, and essential listing details in one place. This makes it perfect for market research, revenue optimization, competitive analysis, and dynamic pricing strategies.

Whether you want to scrap Airbnb data, compare listings, or analyze long-term pricing patterns, this tool provides accurate insights. It's also useful for developers researching airbnb-scraper, airbnb scraping, or even building an Airbnb clone using PHP (for educational purposes).

From SEO and business intelligence to portfolio growth, the Airbnb Full Year Price Tracker Scraper offers clean, structured datasets that boost decision-making and help you stay ahead in the short-term rental market. 🚀

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📦 What data can the Airbnb Full Year Price Tracker Scraper extract?

Below is an overview of the structured data you can extract using this airbnb-scraper:

This data helps you scrap Airbnb data for pricing analytics, competitor benchmarking, seasonal demand research, and real-estate investment insights.

Data Type	Description
Listing Title	Name of the Airbnb listing
Monthly Prices	Monthly average price for 12 months
Host Details	Host name & profile info
Reviews Count	Total reviews & ratings
Listing URL	Direct link to the listing
Location Details	City, country, neighborhood
Property Type	House, apartment, villa, etc.
Amenities	Full amenities list
Availability Data	Calendar availability (up to 12 months)

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⚙️ Key Features of Airbnb Full Year Price Tracker Scraper

Here are the standout features that make this scraper reliable, powerful, and business-ready:

• 📅 Full-Year Price Tracking — Extracts 365-day prices, unlike basic scrapers that only fetch short windows.

• ⚡ Fast Data Extraction — Built for performance, ideal for bulk Airbnb analysis.

• 📊 Clean Structured Output — JSON format ensures seamless import into dashboards, BI tools, or pricing engines.

• 🔍 Accurate Availability Insights — Detects open/blocked dates to forecast occupancy trends.

• 🛎️ Fee Breakdown — Retrieves cleaning fees, taxes, extra charges for complete rate transparency.

• 🏡 Property Metadata — Bedrooms, amenities, guest capacity, listing tags, and more.

• 🔄 Automation-Ready — Perfect for scheduled scraping, seasonal reports, or nightly pricing pulls.

• 💻 Developer-Friendly — Useful for those exploring airbnb scraper GitHub projects or prototyping an airbnb clone using PHP (without replicating Airbnb).

• 📈 Ideal for Market Research — Investors, hosts, agencies, and analysts can all benefit.

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🚀 How to use Airbnb Full Year Price Tracker Scraper

Follow this super simple, beginner-friendly step-by-step guide:

1. 🔐 Log in to Apify
   Create a free account or sign in with your existing profile.

2. 🛠️ Select the Actor
   Search for “Airbnb Full Year Price Tracker Scraper” in the Apify Store.

3. 🔗 Enter Input Data
   Paste your Airbnb listing URL(s) into the startUrls field.
   (Works perfectly if you're trying to scrap Airbnb data quickly.)

4. ⚙️ Choose Options
   Set fields such as:

• Extract full calendar

• Include fees

• Include images

• Multiple listings

6. ▶️ Run the Actor
   Hit Start, and the scraper will automatically gather all pricing and availability data.

7. ⬇️ Download Results
   Export your dataset as JSON, Excel, CSV, or connect the API to your app.

In less than a minute, you’ll have a full-year Airbnb dataset ready for pricing analysis!

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🎯 Use Cases

Here’s how businesses and creators use the Airbnb Full Year Price Tracker Scraper:

• 🏘️ Real Estate Investors — Compare seasonal pricing before buying rental properties.

• 📉 Revenue Managers — Build dynamic pricing models based on occupancy and seasonality.

• 🏨 Airbnb Hosts — Adjust nightly rates to stay competitive year-round.

• 📊 Market Analysts — Study regional pricing trends and demand cycles.

• 📚 Academic Researchers — Analyze economic patterns in short-term rentals.

• 💼 Marketing Agencies — Extract listing data for competitor benchmarking.

• 👨‍💻 Developers — Study structured data for building an Airbnb clone using PHP or exploring airbnb scraper GitHub projects.

This scraper unlocks powerful insights for anyone working with accommodations, travel analytics, or investment strategy.

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🌟 Why choose us?

• 🚀 High Performance — Designed for speed and scalability.

• 📈 Enterprise-Grade Accuracy — Reliable data extraction with clean formatting.

• 🛠️ Developer Friendly — Simple input fields, detailed outputs, API-ready.

• 💬 Excellent Support — Built with best practices and ongoing updates.

• 🔒 Privacy Safe — We never require or store Airbnb account credentials.

• ✨ Trusted by Professionals — Analysts, Airbnb hosts, and agencies rely on our tools.

With a sleek workflow and robust features, the Airbnb Full Year Price Tracker Scraper stands out among airbnb-scraper tools.

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📦 How many results can you scrape with “Airbnb Full Year Price Tracker Scraper”?

The Airbnb Full Year Price Tracker Scraper is built for large-scale extraction and handles everything from a single listing to thousands of URLs. Its underlying infrastructure allows you to:

• Scrape hundreds or thousands of Airbnb listings at once

• Fetch 12-month price calendars without throttling

• Retrieve full metadata (amenities, images, reviews, fees)

• Run repeated tasks for seasonal or monthly comparisons

Whether you're analyzing one neighborhood or conducting nationwide research, the scraper adapts.

For enterprise users, the Actor can scale horizontally, enabling:

• Batch processing

• API integrations

• Scheduled automation

• High-volume processing for investment agencies

In short:
✔ No hard limits
✔ Performance-optimized
✔ Suitable for individual hosts, agencies, and large analytics companies

This is one of the highest-scalability tools in the airbnb scraping ecosystem.

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⚖️ Is it legal to scrape Airbnb?

Web scraping legality depends on:

• Public vs. private data

• Jurisdiction

• Terms of service

• Intended use

Scraping public Airbnb listing information for research, SEO, analytics, or academic purposes is generally acceptable when done responsibly.

However:

• Avoid scraping private user data.

• Respect robots.txt and platform terms.

• Use data ethically and transparently.

This tool is designed for responsible data collection, not circumventing protections or imitating Airbnb. It’s ideal for market research, not copying the service.

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🧩 Input Parameters

Example JSON Input

{
  "startUrls": [
    "https://www.airbnb.co.uk/rooms/7431972",
    "7431972",
    "luxury apartment in Paris"
  ],
  "checkInDate": "2025-12-25",
  "stayDays": 1,
  "numberOfDays": 30,
  "adults": 2,
  "children": 0,
  "pets": 0,
  "currency": "USD",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

📤 Output Format

Example Output JSON

{
  "Listing URL": "https://www.airbnb.co.uk/rooms/7431972",
  "Listing ID": "7431972",
  "Check-In Date": "2025-12-25",
  "Check-Out Date": "2025-12-26",
  "Host": "Hosted by John",
  "Title": "Steps to the stadium! - Apartments for Rent in Cardiff",
  "Property Type": "Entire apartment",
  "Room Rating": 4.89,
  "Total Price": "$187",
  "Location": "Cardiff",
  "Bedrooms": "1",
  "Beds": "2",
  "Bathrooms": "1",
  "Guest_Capacity": 4,
  "visibleReviewCount": "299",
  "petsAllowed": false,
  "Booking": "Available"
}

❓ FAQ

1. Can this scraper extract data for multiple Airbnb listings at once?

Yes! It supports bulk scraping of hundreds or thousands of URLs.

2. Does it bypass Airbnb’s security or login?

No. It only collects publicly available data.

3. Can I use this for Airbnb market research?

Absolutely — it's designed for pricing analytics and long-term trend tracking.

4. Is this similar to "airbnb scraper GitHub" tools?

This is more powerful, stable, and maintained professionally.

5. Can I build an Airbnb clone using PHP with this data?

You can use it for research and learning, not replication of Airbnb.

6. What file formats can I export?

JSON, CSV, Excel, or direct API integration.

7. Does it show all 365 days of pricing?

Yes — the main purpose is full-year price tracking.

Conclusion

The Airbnb Full Year Price Tracker Scraper 📊 is a powerful, scalable, and reliable tool for extracting 12-month pricing, availability, and listing insights. Whether you're an investor, analyst, or developer exploring airbnb scraping, it delivers accurate, structured data that drives smarter decisions and deeper market understanding.