Airbnb Property Scraper 🏠

What does Airbnb Listings Scraper do?

Airbnb Listings Scraper extracts structured listing data from Airbnb search result pages. Add one or more Airbnb /s/.../homes search URLs, choose how many results you want, and get clean records with listing IDs, URLs, titles, room types, cities, guest capacity, ratings, review counts, pricing text, coordinates, badges, images, and search rank.

This Airbnb scraper is useful for short-term rental market research, competitor monitoring, pricing analysis, destination research, and building property datasets for BI dashboards, spreadsheets, AI agents, or internal data pipelines.

Why use Airbnb Listings Scraper?

• Market research without manual copy-paste - Collect Airbnb listing data from selected cities, neighborhoods, dates, and guest filters.
• Search URL based collection - Use the same Airbnb search URLs your team already works with, including query parameters for stay dates, guests, and location context.
• Multiple market support - Process more than one Airbnb search URL in a single run until your requested result limit is reached.
• Analysis-ready output - Export structured records to JSON, CSV, Excel, XML, Google Sheets, or your own systems.
• Monitoring workflows - Schedule repeat runs to compare pricing, rating, ranking, and inventory changes over time.
• Clean records - Dataset items include available fields only, so downstream analysis does not have to deal with empty values.

What data can you extract from Airbnb?

Field	Description
listing_id	Airbnb listing numeric identifier.
listing_url	Direct URL to the Airbnb room or property page.
title	Listing title shown in Airbnb search results.
subtitle	Short listing subtitle, such as bed or stay summary.
name_localized	Localized listing name when available.
room_type	Property or room type, such as entire rental unit or private room.
city	City or localized place name connected to the listing.
category	Airbnb room or property category label when available.
bed_label	Short bed, room, or layout summary.
person_capacity	Maximum guest capacity published for the listing.
is_superhost	Whether the host is marked as a superhost when available.
host_name	Host name when available in the search result data.
latitude	Listing latitude for mapping and geo analysis.
longitude	Listing longitude for mapping and geo analysis.
rating	Average rating score.
reviews_count	Number of reviews parsed from the listing rating text.
rating_label	Rating label text when provided by Airbnb.
nightly_price	Primary displayed nightly price.
nightly_price_qualifier	Price qualifier, such as the stay length label.
price_accessibility_label	Expanded price text when available.
total_price_line	Secondary total price or summary line.
price_display_style	Price display style label when available.
review_snippet	Short review snippet from the listing card.
badges	Listing badge labels, such as guest favorite or rare find.
image_urls	Image URLs from the listing card.
search_rank	Rank order in the collected Airbnb search results.
search_context	Airbnb search URL used as the source context.
fetched_at	ISO timestamp for when the listing was collected.

How to scrape Airbnb listing data

1. Open Airbnb and create a search for your target location, dates, guest count, and filters.
2. Copy the Airbnb search URL from your browser address bar.
3. Open Airbnb Listings Scraper on Apify.
4. Paste one or more URLs into urls.
5. Set results_wanted to the maximum number of listings you want to save.
6. Run the Actor.
7. Download the dataset or connect it to your workflow.

Input Parameters

Parameter	Type	Required	Default	Description
urls	Array of strings	No	London search URL prefill	One or more Airbnb /s/.../homes search URLs. The Actor processes the URLs until results_wanted is reached or all sources are exhausted.
results_wanted	Integer	No	20	Maximum number of unique listing records to save. Minimum value is 1.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional Apify Proxy settings for runs that need proxy routing.

Output Data

Each dataset item represents one Airbnb listing from the supplied search context. Fields may be omitted when Airbnb does not publish that value for a listing.

Field	Type	Description
listing_id	String	Airbnb listing numeric identifier.
listing_url	String	Direct Airbnb listing URL.
title	String	Listing title.
subtitle	String	Listing subtitle.
name_localized	String	Localized listing name.
room_type	String	Property room or home type.
city	String	Localized city or place name.
category	String	Airbnb room or property category label.
bed_label	String	Bed or room summary label.
person_capacity	Number	Maximum number of guests.
is_superhost	Boolean	Host superhost status when available.
host_name	String	Host name when available.
latitude	Number	Listing latitude.
longitude	Number	Listing longitude.
rating	Number	Average rating score.
reviews_count	Number	Number of reviews.
rating_label	String	Rating label text.
nightly_price	String	Primary nightly price text.
nightly_price_qualifier	String	Nightly price qualifier text.
price_accessibility_label	String	Expanded price text when available.
total_price_line	String	Secondary total price line.
price_display_style	String	Price presentation style.
review_snippet	String	Short review snippet.
badges	Array	Listing badge labels.
image_urls	Array	Listing image URLs.
search_rank	Number	Rank order in collected search results.
search_context	String	Airbnb search URL used for the run.
fetched_at	String	Collection timestamp in ISO format.

Usage Examples

Basic Airbnb Search Extraction

Collect 20 listings from one Airbnb search URL:

{
  "urls": [
    "https://www.airbnb.com/s/London--United-Kingdom/homes?checkin=2026-05-13&checkout=2026-05-14&adults=1"
  ],
  "results_wanted": 20
}

Multiple Airbnb Search URLs

Collect listings from more than one market in the same run:

{
  "urls": [
    "https://www.airbnb.com/s/London--United-Kingdom/homes?checkin=2026-05-13&checkout=2026-05-14&adults=1",
    "https://www.airbnb.com/s/Paris--France/homes?checkin=2026-05-13&checkout=2026-05-14&adults=1"
  ],
  "results_wanted": 50
}

Larger Run With Proxy Configuration

Use Apify Proxy settings when running larger Airbnb collection jobs:

{
  "urls": [
    "https://www.airbnb.com/s/New-York--NY--United-States/homes?checkin=2026-06-10&checkout=2026-06-15&adults=2"
  ],
  "results_wanted": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Sample Output

{
  "listing_id": "1390856626261696498",
  "listing_url": "https://www.airbnb.com/rooms/1390856626261696498",
  "title": "Flat in Greater London",
  "subtitle": "2 beds",
  "name_localized": "Amazing location by tube",
  "room_type": "Entire rental unit",
  "city": "London",
  "category": "Apartment",
  "bed_label": "2 beds",
  "person_capacity": 4,
  "is_superhost": true,
  "host_name": "Alex",
  "latitude": 51.5072,
  "longitude": -0.1276,
  "rating": 4.93,
  "reviews_count": 165,
  "rating_label": "Rated 4.93 out of 5 from 165 reviews",
  "nightly_price": "$61",
  "nightly_price_qualifier": "for 1 night",
  "total_price_line": "$61 total",
  "badges": [
    "Guest favorite"
  ],
  "image_urls": [
    "https://a0.muscache.com/im/pictures/example.jpg"
  ],
  "search_rank": 1,
  "search_context": "https://www.airbnb.com/s/London--United-Kingdom/homes?checkin=2026-05-13&checkout=2026-05-14&adults=1",
  "fetched_at": "2026-07-29T12:30:00.000Z"
}

Tips for Best Results

• Use complete Airbnb search URLs copied from your browser after setting location, dates, guests, and filters.
• Start with results_wanted: 20 to confirm the search returns the fields you need.
• Use separate URLs for different cities, neighborhoods, date ranges, or guest counts.
• Keep date filters realistic when collecting pricing and availability snapshots.
• Increase results_wanted gradually for larger markets.
• Enable proxy settings when running larger or scheduled collection jobs.
• If some fields are missing, check the original Airbnb search results. Not every listing publishes the same details in search.

Integrations

• Google Sheets - Send Airbnb listing data to spreadsheets for quick review and sharing.
• CSV and Excel - Download datasets for market research, pricing models, and reporting.
• JSON - Use structured output in apps, dashboards, and AI or RAG workflows.
• Webhooks - Trigger downstream processes after each run finishes.
• Make or Zapier - Connect new listing data to no-code automation workflows.
• API - Access datasets programmatically from your own systems.

Frequently Asked Questions

Can I export Airbnb listing data to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other supported formats.

Can I scrape more than one Airbnb location in one run?

Yes. Add multiple Airbnb search URLs to urls. The Actor processes them in order until it reaches results_wanted or all sources are exhausted.

Can I control dates, guests, and filters?

Yes. Set the dates, guests, and filters on Airbnb first, then copy the resulting search URL into urls.

Does this Actor collect detailed property page data?

The Actor focuses on listing data available from Airbnb search result contexts. It is best for market-level datasets, ranking analysis, pricing snapshots, and property discovery.

Why are some output fields missing?

Some fields may be missing because Airbnb does not publish the same values for every listing or search result. The Actor saves available fields and leaves unavailable fields out of the record.

Can I run Airbnb Listings Scraper on a schedule?

Yes. Use Apify schedules to run the Actor hourly, daily, weekly, or at another interval for monitoring workflows.

Is this Airbnb scraper suitable for non-technical users?

Yes. You can run it from Apify Console with form-based inputs, then download the dataset without writing code.

Is it legal to scrape Airbnb?

Scraping public web data can be legal, but you are responsible for complying with applicable laws, Airbnb's terms, privacy rules, and any restrictions that apply to your use case.

Related Actors

• Airbnb Reviews Scraper - Extract Airbnb stay reviews using room URLs or property IDs for reputation monitoring and guest feedback analysis.
• VRBO Property Scraper - Collect vacation rental listings from VRBO for rental market research and competitor tracking.

Support

For issues, feature requests, or custom Airbnb data extraction work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate data collection from publicly available Airbnb search result pages. Users are responsible for using the data responsibly and complying with applicable laws, website terms, and privacy requirements.