Actions166
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Datasets → Datasets Airbnb Markets Search
AI-generatedSummary
Searches Airbnb listing counts grouped into country, market, administrative region, locality, room type, or property type cells. Apply optional location, listing quality, freshness, and minimum-count filters, then sort and paginate the results; provide the required API key.
Inputs
- Group By — Dimension for aggregating results: country (default), market, admin1, locality, room_type, or property_type.
- Country — Exact ISO-3166-1 alpha-2 country code filter, such as FR.
- Market — Exact metro-market filter, such as Paris; up to 128 characters.
- Superhost — When enabled (default), count only Superhost listings.
- Guest Favorite — When enabled (default), count only Guest Favorite listings. The badge under-counts, so this is an observed lower bound.
- Min Rating — Minimum listing rating from 0 through 5; defaults to 0.
- Min Review Count — Minimum listing review count, 0 or greater; defaults to 0.
- Active Since — ISO-8601 date (YYYY-MM-DD); counts only listings last seen on or after that date.
- Min Listings — Minimum listings per result cell. Raises the small-cell suppression floor and cannot lower the built-in minimum.
- Sort — Sort order: listings_desc (default), superhost_pct_desc, rating_desc, or key_asc.
- Page — Page number; the UI default is 0 while the parameter description says the API defaults to 1.
- Page Size — Results per page; the UI default is 0 while the parameter description says the API defaults to 20. Maximum 100; page × page_size must be no greater than 10000.
- X Api Key (required) — API key sent in the x-api-key request header.
- Request Options — Optional HTTP request settings, including batching, accepting invalid SSL certificates, an HTTP proxy, and a response-header timeout.
Output shape
A paginated response containing aggregated Airbnb listing data grouped into cells.
The source pack does not show the response body schema. Cell counts may be suppressed for small groups; Guest Favorite counts are an observed lower bound.
Examples
Example 1: Count listings by country
Leave Group By at country and optionally filter by listing quality, freshness, and minimum cell size.
Example 2: Inspect Paris market data by room type
Set Group By to room_type and Market to Paris; use page and page_size to browse results.