

Extract Airbnb listings by city or destination and turn public accommodation data into structured results. Enter a location or Airbnb search URL to collect listing prices, ratings, review counts, room details, coordinates, amenities, host information, and more. Add check-in dates, guest numbers, price ranges, and property filters to narrow the results before you collect them.
Airbnb Scraper 帮助您从Airbnb搜索结果中收集公开可用的住宿数据。
与其手动打开房源并逐一复制房源信息,不如输入目的地或Airbnb搜索URL,让CoreClaw将结果整理成结构化数据。
你可以用它来:
比较各城市和社区的Airbnb房源,了解供应情况、物业类型、价格和宾客容量。
根据价格、评级、设施、房间类型、位置和宾客容量,研究可比房产。
收集选定目的地和旅行日期的公开价格,以便比较各市场的住宿价格。
在研究本地短期租赁市场时,分析Airbnb的供应和房源特征。
比较度假租赁和住宿市场的设施、评分、物业类型和宾客容量。
构建结构化数据集,研究不同目的地、旅行日期和价格区间的住宿选择。
| 🆔 Listing ID | 🏠 Listing Title |
| 📝 Description | 🔗 Listing URL |
| 💰 Price | 💱 Currency |
| ⭐ Rating | 💬 Review Count |
| 📍 Latitude | 📍 Longitude |
| 🏘️ Room Type | 👥 Guest Capacity |
| 🛏️ Beds | 🚪 Bedrooms |
| 🛁 Bathrooms | ✨ Amenities |
| 👤 Host Name | 🆔 Host ID |
| 🏅 Superhost Status | 🖼️ Listing Image |
| 📋 House Rules | 🕒 Check-in Details |
Available fields depend on the information publicly displayed for each Airbnb listing.
You can narrow the search before collecting data.
Supported filters may include:
Filtering before extraction helps reduce irrelevant listings and gives you a dataset that is closer to your actual research question.
Airbnb Scraper is designed to be straightforward even if you have never built a scraper before.
CoreClaw Airbnb Scraper can also be integrated into automated data workflows through API.
Connect Airbnb listing data with:
Use the CoreClaw interface for quick no-code research or API integration when you need recurring data collection.
The number of results available for a destination can vary.
Factors include:
When a broad city search does not provide enough coverage, split the market into smaller searches such as:
This can also make the resulting dataset easier to analyze.
Enter a city or region instead of collecting individual listing URLs manually.
Add check-in dates, guest counts, prices, beds, bedrooms, and bathrooms before extraction.
Collect prices, ratings, reviews, coordinates, amenities, room details, and available host information in one workflow.
Move Airbnb data directly into CSV, JSON, spreadsheets, databases, and analytics tools.
Run destination searches through CoreClaw while keeping API access available for automated workflows.
Enter a destination such as London or New York, configure any travel or property filters you need, and start the CoreClaw Worker.
The matching listings are returned as structured records.
Yes. Destination search is one of the primary input methods.
You can use cities, regions, or other supported location queries.
Yes. Available listing pricing can be collected based on the destination, dates, currency, and search configuration.
Prices on Airbnb are dynamic and may change between runs.
The number of available results varies by destination, search filters, dates, Airbnb limits, and the current Worker implementation.
For broader coverage, divide large markets into multiple targeted searches instead of assuming one city-level query will expose every listing.
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