How to Pull Airbnb Pricing and Availability Data Programmatically

Static listing details — title, photos, amenities — are the easy part of Airbnb data. The data that actually drives products is dynamic: what does this place cost on these dates, and is it even available? Pricing and availability change constantly, vary by date range and length of stay, and are exactly what you need for market analysis, dynamic-pricing tools, competitor tracking, and booking flows.

This guide shows how to pull both programmatically, without rendering a calendar widget in a headless browser.

Why pricing and availability are harder than the rest

On Airbnb, a listing’s nightly rate is not a single number. It depends on:

The check-in and check-out dates you ask about
Length-of-stay discounts (weekly and monthly rates)
Seasonality and demand for that specific calendar window
Fees — cleaning, service, and taxes layered on top of the base rate

Availability is just as date-shaped: a place open next week may be booked solid next month. Any tool that treats price or availability as a static field will be wrong most of the time. You have to query for a date range.

Fetching availability

Availability lives on its own sub-resource. Request it for a listing to get the booking calendar:

curl https://api.stayingapi.com/v1/stays/1135700964697993602/availability \
  -H "Authorization: Bearer sk_live_..."

This returns the open and blocked dates for the listing’s calendar, so you can tell at a glance whether a stay is bookable in the window you care about. It is the endpoint to poll when you are tracking occupancy or watching for openings.

Fetching pricing

Pricing is a separate sub-resource for the same reason — it is dynamic and you want to pay for it only when you need it:

curl https://api.stayingapi.com/v1/stays/1135700964697993602/pricing \
  -H "Authorization: Bearer sk_live_..."

You get the nightly rate, currency, and fee breakdown in a normalized shape. Pair it with availability and you have everything a booking or analytics tool needs for a given listing. Both sub-resources are documented in full on the Stays reference.

Pricing across a whole market

Single-listing calls are perfect for tracking known properties. For market-level analysis you usually want pricing across every comparable listing in an area, which is where search comes in. A search with dates returns priced results for the whole result set:

curl -X POST https://api.stayingapi.com/v1/search \
  -H "Authorization: Bearer sk_live_..." \
  -H "content-type: application/json" \
  -d '{
    "location": "Barcelona, Spain",
    "checkIn": "2026-08-10",
    "checkOut": "2026-08-15",
    "priceMin": 80,
    "priceMax": 400
  }'

From there, page through results with the returned next_page_token, or use POST /v1/search/with-details to pull each result’s full detail in the same workflow. The complete filter list is in the Search reference.

Doing it at scale

If you are pricing thousands of listings on a schedule — say, a nightly refresh of a watchlist — fire them as a batch instead of looping single calls. Batch lookups settle asynchronously and notify you via webhook when the run completes, so you are not holding open thousands of connections. That pattern keeps a dynamic-pricing or market-tracking pipeline efficient and predictable.

A few practical tips for dynamic data:

Always query a date range. A price with no dates is meaningless; pass checkIn and checkOut.
Refresh on a cadence that matches your use case. Daily is plenty for most analytics; near-real-time only if you are powering live booking.
Store snapshots. Pricing and availability are time series — capturing them over time is what makes trend analysis possible.

Cost

Availability and pricing are 1 credit each per listing, and a search page is a flat rate covering up to 50 priced results — so a market sweep is cheap and easy to forecast. The worked examples on the pricing page show how a typical refresh job adds up.

Where to go next

How to get Airbnb listing data with an API — the full picture, including the static fields
Stays reference — the availability and pricing sub-resources in detail
Search reference — market-level queries with filters and paging

Want to pull a live price right now? Get 100 free credits and run your first availability and pricing calls in minutes.