Real-time Airbnb availability without iCal: scraping the v3 API

The problem with iCal

iCal files update on Airbnb's schedule, which is anywhere from 4 to 24 hours depending on factors outside your control. More importantly, they break silently. When Airbnb updates their export format (which they do), your parser throws an error, your calendar stops syncing, and nothing tells you. You find out when a guest books a date that was already taken.

Third-party channel managers solve this — by polling Airbnb's internal APIs directly and reselling access. They charge a percentage of every booking for the privilege. For a small portfolio of villas, this is a significant recurring cost for a problem that has a direct technical solution.

Finding the v3 endpoint

Airbnb's web app makes API calls as you browse. The availability calendar on any listing page fetches from a v3 API endpoint: PdpAvailabilityCalendar. This endpoint returns real-time availability data — the same data the Airbnb app uses internally, before any sync delay.

You can find it by opening any Airbnb listing, opening DevTools Network tab, and looking at the XHR requests made when the calendar renders. The request is to api.airbnb.com/v3/PdpAvailabilityCalendar.

The request requires a valid X-Airbnb-API-Key (present in the page source of any Airbnb listing) and a hash built from query parameters including the listing ID and requested date range. The hash is what requires reverse-engineering.

Reverse-engineering the request hash

The hash is constructed from a deterministic combination of the query parameters. Using DevTools, you can observe multiple requests with different date ranges and the same listing ID, then derive the construction logic by comparing the hashes.

Once you have the construction method, the implementation is straightforward: a Python function that accepts a listing ID and date range, builds the hash, sets the API key header, and makes the GET request.

The response is a JSON object containing a calendar of available, unavailable, and blocked dates — accurate in real time, not on a sync schedule.

import requests, hashlib, json

def get_availability(listing_id: str, month: int, year: int) -> dict:
    variables = json.dumps({
        "request": {
            "count": 3,
            "listingId": listing_id,
            "month": month,
            "year": year,
        }
    }, separators=(',', ':'))

    extensions = json.dumps({
        "persistedQuery": {
            "version": 1,
            "sha256Hash": AIRBNB_QUERY_HASH  # derived from DevTools
        }
    }, separators=(',', ':'))

    resp = requests.get(
        "https://www.airbnb.com/api/v3/PdpAvailabilityCalendar",
        params={"operationName": "PdpAvailabilityCalendar",
                "variables": variables,
                "extensions": extensions},
        headers={"X-Airbnb-API-Key": AIRBNB_API_KEY}
    )
    return resp.json()

The Noventura implementation

We run a Python script that polls the endpoint for each villa in the Noventura portfolio and writes availability data to the MySQL database. A PHP endpoint (nov-airbnb.php) reads from this database to serve the booking calendar on villa detail pages.

The polling interval is hourly. A new Airbnb booking reflects on the Noventura site within 60 minutes, automatically, with no iCal dependency and no channel manager fee. Staff can also override individual dates from the admin panel — which uses the same database as the sync, with manual overrides taking precedence.

When to use this approach

This works because the v3 endpoint has been stable for years. It's not guaranteed to remain so. If Airbnb changes the hash construction or authentication requirements, the integration requires updating.

For a portfolio of 5–15 properties where sync accuracy matters and channel manager fees are a meaningful cost, the direct API approach is correct. Build in a fallback iCal sync that triggers if the direct poll fails two consecutive times — belt and suspenders.

For 50+ properties where a sync outage has serious financial consequences and you have the operational overhead to manage it, a dedicated channel manager is worth the percentage.