Airbnb Calendar Scraper

Paste Airbnb listing links or listing numbers and get one row per listing with its day-by-day availability calendar: every night for up to 12 months marked free or taken, the minimum stay, the days a stay can start or end, and a month-by-month summary.

One thing to know before you build on it: a taken night can be a booking or a night the host blocked, and Airbnb's calendar does not say which.

🔍 What Airbnb Calendar Scraper does

It reads the same calendar a guest sees on a listing page, for each listing you give it, and turns it into a row you can sort and count. Each night says whether it is free, whether a stay can begin or end there, and the minimum and maximum stay the host set for it. On top of that every row carries the totals: free nights, taken nights, the share taken, the first and last free night, and the same counts month by month.

It reads the calendar as it is at the moment of the run. Run it on a schedule and you get a history.

The calendar never starts before today, by the UTC date, even if you pick the current month: a night that has already passed says nothing about bookings. A startMonth already in the past is moved to the current month and the run tells you so in a free note row.

📋 What data you get from each Airbnb calendar

▶️ How to scrape Airbnb calendars

1. Open Airbnb Calendar Scraper and click Try for free. 2. Paste your links into Listings, one per line. 3. Set Number of months, and First month if you want a later start. 4. Click Start. 5. When it finishes, open the Output tab and download JSON, CSV or Excel.

Start it with no listings at all and you get one free sample row, a note rather than data.

💰 How much does it cost to scrape Airbnb calendars?

$0.75 per 1,000 listing calendars. Flat on every Apify plan, no volume tiers. On the free plan, the $5 Apify gives you each month covers about 6,500 calendars. A calendar costs the same whether you read 1 month or 12, with or without the day list.

You are not charged for the sample row, for any diagnostic row, for listings that were not found, for duplicates in your list, or for listings a run never reached. To cap a run's spend, set a maximum cost when you start it: the run stops at that limit and lists the listings it did not read.

📥 What you give it

{
  "listings": [
    "https://www.airbnb.com/rooms/26939959",
    "https://www.airbnb.co.uk/rooms/4054044?adults=2",
    "913978009878067640"
  ],
  "months": 3
}

📤 What you get back

A real row from run rISM4I1QygW0LpATI, three months read, with the day list cut to three days:

{
  "recordType": "calendar",
  "listingId": "26939959",
  "listingUrl": "https://www.airbnb.com/rooms/26939959",
  "input": "https://www.airbnb.com/rooms/26939959",
  "startDate": "2026-10-03",
  "endDate": "2026-12-31",
  "totalDays": 90,
  "availableDays": 39,
  "unavailableDays": 51,
  "unavailableShare": 0.567,
  "bookableDays": 39,
  "firstAvailableDate": "2026-10-04",
  "lastAvailableDate": "2026-12-28",
  "months": [
    { "month": "2026-10", "totalDays": 29, "availableDays": 10, "unavailableDays": 19, "bookableDays": 10, "unavailableShare": 0.655 },
    { "month": "2026-11", "totalDays": 30, "availableDays": 13, "unavailableDays": 17, "bookableDays": 13, "unavailableShare": 0.567 },
    { "month": "2026-12", "totalDays": 31, "availableDays": 16, "unavailableDays": 15, "bookableDays": 16, "unavailableShare": 0.484 }
  ],
  "scrapedAt": "2026-10-03T05:13:32.955Z",
  "days": [
    { "date": "2026-10-03", "available": false, "bookable": false, "availableForCheckIn": false, "availableForCheckOut": false, "minNights": 1, "maxNights": 30 },
    { "date": "2026-10-04", "available": true, "bookable": true, "availableForCheckIn": true, "availableForCheckOut": false, "minNights": 1, "maxNights": 30 },
    { "date": "2026-10-05", "available": true, "bookable": true, "availableForCheckIn": true, "availableForCheckOut": true, "minNights": 1, "maxNights": 30 }
  ]
}

A flag Airbnb leaves out comes back as null rather than a guess.

🧾 Reading the output

Every row has a recordType. To keep only the calendars you paid for, filter on recordType equal to calendar.

• calendar: a listing's calendar. These are the only billed rows.
• sample: one free row with _sample: true, written when the input has no listings at all. It is a note, not data.
• diagnostic: a free row with _diagnostic: true, charged: false, an errorCode and a message.

unreadListingIds is there so you can paste those numbers straight into the next run.

Want one row per night in a spreadsheet? Download the dataset through the Apify API with unwind=days added, for example GET /v2/datasets/<dataset id>/items?format=csv&unwind=days. Each night then becomes its own line with the listing's fields beside it. The Month by month view in the Output tab does the same for months.

💡 What people use it for

• A host deciding what to charge for a holiday weekend, who wants to see how fast the neighbours' calendars are filling.
• Someone weighing up a flat as a short-let investment, checking how full the listings in the same building look across a year.
• A property manager who keeps a daily snapshot of every listing they run in one sheet, instead of clicking through calendars.
• Anyone studying a market's seasonality: which months open up late, and where minimum stays jump around holidays.

From a place to how full it is, in three steps:

1. Run Airbnb Listings Scraper on the place and copy the listingId column. 2. Paste those numbers into Listings here and run it with Number of months at 3. 3. Sort on unavailableShare, and read months to see which weeks are filling first.

🚧 What it does not do

• No nightly prices. Airbnb's calendar does not carry them.
• It cannot tell a booking from a night the host blocked. Both read as taken.
• Nights past the host's booking window read as taken too. A calendar that is taken from some date to the end often just means the host has not opened those dates.
• At most 12 months per listing, starting no more than 11 months ahead.
• It does not search Airbnb by place. You need the listing links or numbers.
• No listing details such as title, photos or rating.
• Short links and /h/ links can't be read. Open the listing and copy the link with /rooms/ in it.

🧭 Which travel scraper do you need?

❓ Questions people ask

Does a taken night mean it was booked?

Not always. Airbnb shows booked nights and nights the host blocked the same way. Treat unavailableShare as an upper bound on occupancy.

Where do I get listing numbers for a place?

Run the Airbnb Listings Scraper for it, up to 20 listings per place in a run, and paste its listingId values here. Or copy the links from Airbnb's own search page.

How do I see changes over time?

Schedule the run daily or weekly. Each row has scrapedAt, so you can compare the same listing between runs.

Do I need an Airbnb account?

No. It reads what any visitor sees on a listing page, without logging in.

Can I call it from code or connect it to an AI assistant?

Yes. The API tab has ready-made code for Python, JavaScript and the command line. For Claude, ChatGPT or another MCP client, connect https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/airbnb-calendar-scraper. Either way the run happens on your Apify account at the same price.

Is it legal to scrape Airbnb calendars?

This reads public calendar information that anyone can see without logging in. Apify explains the general picture in its write-up on the legality of web scraping, and we are not lawyers.

🆘 If something breaks

Open an issue on the actor's Issues tab with the run link and two or three of the listing numbers involved. Diagnostic rows carry an errorCode, so including it helps.