Extracting Airbnb Prices
by yousef011
Instantly scrape Airbnb pricing, discounts, and availability. Perfect for property managers and investors, with bulk URL support, CSV/JSON export, and no login required.
Opens on Apify.com
About Extracting Airbnb Prices
Need to know what an Airbnb listing actually costs? I built this scraper because I got tired of manually checking prices for my own rental research. It pulls daily, weekly, and monthly rates directly from any Airbnb listing URL, along with current discounts and availability calendars. You just feed it the links—no Airbnb login is necessary, which is a huge time-saver. It’s become my go-to for a few key jobs. If you're managing multiple properties, you can instantly benchmark your pricing against competitors. For real estate investors analyzing a market, it's perfect for gathering bulk data on rental yields without the guesswork. I also use it to track price fluctuations for specific listings over time, which is gold for market research reports. I run hundreds of URLs through it regularly, and it handles bulk scraping without a hiccup. You can grab the data in CSV or JSON format, ready to drop into a spreadsheet or your own analysis script. The reliability is solid; it succeeds where a lot of other methods get blocked. There's a free trial to test it with your own target listings—it’s the fastest way to get clean, structured pricing data off Airbnb.
What does this actor do?
Extracting Airbnb Prices is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Airbnb Price Extractor
Overview
This Apify Actor extracts structured pricing data from Airbnb property listings. It pulls daily, weekly, and monthly rates, along with discount percentages and minimum stay requirements, from public Airbnb URLs. It's designed for market research, competitive analysis, and rental yield calculations.
Key Features
- Fast Extraction: Gets results for a listing in under 30 seconds.
- Bulk Processing: Handles multiple Airbnb URLs in a single run.
- Structured Output: Returns clean JSON or CSV data ready for analysis.
- No Authentication: Works with publicly accessible listing URLs.
- Proxy Support: Includes automatic proxy rotation to handle rate limits.
- Multiple Export Formats: Download results as JSON, CSV, or Excel.
- API Access: Can be integrated directly into other applications.
How to Use
- Provide one or more Airbnb listing URLs as input.
- Run the Actor. It will scrape and process the pages automatically.
- Download the resulting dataset from the Actor's output.
Input/Output
Input Format:
Provide a JSON object with an array of urls.
{
"urls": [
"https://www.airbnb.com/rooms/123456789",
"https://www.airbnb.com/rooms/987654321"
]
}
Output Example:
The Actor returns a structured dataset with the following fields for each processed URL.
{
"propertyUrl": "https://www.airbnb.com/rooms/123456789",
"dailyPrice": 129,
"weeklyPrice": 806,
"monthlyPrice": 2890,
"weeklyDiscount": 10,
"monthlyDiscount": 25,
"minimumStay": 2,
"currency": "USD"
}
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Extracting Airbnb Prices now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- yousef011
- Pricing
- Paid
- Total Runs
- 903
- Active Users
- 12
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