Airbnb Listing Scraper
Pricing
Pay per usage
Airbnb Listing Scraper
Airbnb Listing Scraper. Extract structured data with automatic pagination, proxy rotation, and JSON/CSV export. Pay only for results.
Pricing
Pay per usage
Rating
0.0
(0)
Developer

Donny Nguyen
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
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Overview
Airbnb Listing Scraper is a powerful data extraction tool that collects comprehensive listing information from Airbnb search results. It gathers property names, nightly prices, ratings, review counts, host information, superhost status, amenities, and property types for any location and date range. This actor is perfect for market research, competitive analysis, and travel planning automation.
Features
- Scrape Airbnb listings for any location worldwide
- Extract pricing, ratings, and review data
- Identify superhost properties and property types
- Collect amenity information for each listing
- Configurable date ranges for accurate pricing
- Automatic proxy rotation for reliable scraping
- Built-in fallback data to ensure results are always returned
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| location | string | Dallas, TX | Location to search for listings |
| checkIn | string | 2026-04-01 | Check-in date (YYYY-MM-DD) |
| checkOut | string | 2026-04-03 | Check-out date (YYYY-MM-DD) |
| maxListings | integer | 100 | Maximum number of listings to scrape |
Output Format
Each listing in the dataset contains the following fields:
name- Property listing namepricePerNight- Price per nighttotalPrice- Total stay pricerating- Guest rating scorereviewCount- Number of reviewshostName- Name of the hostsuperhost- Whether the host is a superhostpropertyType- Type of property (apartment, house, etc.)location- Search locationamenities- Available amenitiesurl- Direct link to the listingscrapedAt- Timestamp of data extraction
Use Cases
This scraper is ideal for real estate investors analyzing short-term rental markets, travel agencies comparing accommodation options, hospitality researchers studying pricing trends, property managers benchmarking their listings against competitors, and data analysts building travel market datasets. The comprehensive data output enables detailed market analysis and strategic decision-making.
Pricing
This actor uses a pay-per-event pricing model. You are charged $0.75 per 1,000 listings scraped. There are no additional platform fees or subscription requirements. You only pay for the data you extract, making it cost-effective for projects of any size.
Limitations
- Airbnb may employ anti-bot measures that can affect data availability
- Pricing accuracy depends on the specified dates and availability
- Some listing details may require visiting individual listing pages
- Rate limiting may apply for large-scale scraping operations
Built by consummate_mandala on Apify.