🏠 Airbnb Scraper — Listings & Rental Data
Pricing
from $25.00 / 1,000 results
🏠 Airbnb Scraper — Listings & Rental Data
Extract Airbnb listings — prices, reviews, host data, amenities & availability. Build short-term rental analytics, pricing optimization & travel market intelligence. Pay per listing.
Pricing
from $25.00 / 1,000 results
Rating
0.0
(0)
Developer
Stephan Corbeil
Actor stats
0
Bookmarked
4
Total users
2
Monthly active users
7 days ago
Last modified
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What does Airbnb Scraper do?
Airbnb Scraper extracts rental listings from Airbnb including prices, ratings, amenities, host information, and availability for any location or search criteria.
Why use Airbnb Scraper?
Short-term rental data is valuable for pricing optimization, market research, and competitive analysis. This scraper delivers structured Airbnb listing data automatically.
Use cases
- Pricing Optimization: Research competitor pricing in your rental market
- Investment Analysis: Evaluate short-term rental revenue potential for properties
- Market Research: Analyze supply, demand, and pricing trends across markets
- Hospitality Intelligence: Monitor competitive landscape and new listings
- Travel Planning: Compare listings and prices programmatically
Input parameters
| Parameter | Type | Description |
|---|---|---|
location | String | City or area to search |
checkIn | String | Check-in date (YYYY-MM-DD) |
checkOut | String | Check-out date (YYYY-MM-DD) |
maxResults | Number | Maximum results (default: 20) |
Output example
{"title": "Cozy Studio in Manhattan","price": 125,"rating": 4.8,"reviewCount": 342,"propertyType": "Entire apartment","bedrooms": 1,"bathrooms": 1,"amenities": ["WiFi", "Kitchen", "AC"],"superhost": true}
Pricing
Pay-Per-Event pricing: $3.00 per 1,000 results. Platform fee: $0.005 per start.
💻 Code Example — Python
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("nexgendata/airbnb-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~airbnb-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: $0.0250
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Built and maintained by NexGenData — 140+ actors covering scraping, enrichment, MCP servers, and automation.