Get Airbnb rates into BigQuery.

One endpoint call, the BigQuery setup steps, and a field-to-column map. Then keep it refreshing on a schedule.

Start free with 50 requests

50 free requests on signup No credit card

Trusted by hospitality teams at

The pieces

One source, one destination.

Airbnb

Airbnb data is listing-level: reviews, nightly pricing with fees, and calendar availability for individual rentals rather than hotel inventory. Below, those nightly rates land in BigQuery as sortable rows.

BigQuery

BigQuery wants rows, not API calls. A small scheduled job fetches the JSON, flattens the fields you care about, and appends them to a table, so history accumulates and SQL does the rest. In this guide it reads Airbnb rates straight from the StayAPI endpoint.

The call

One endpoint returns Airbnb rates.

The Airbnb Listing Pricing endpoint returns clean JSON for one listing. Send your key in the X-API-Key header. See the endpoint docs for every parameter.

GET Airbnb Listing Pricing /v1/airbnb/listing/{listing_id}/pricing https://api.stayapi.com/v1/airbnb/listing/22135033/pricing?check_in=2026-05-01&check_out=2026-05-03

Setup

Wire BigQuery to the endpoint.

01

Create a StayAPI account and copy your API key from the dashboard.
02

Create a dataset and table with the schema below.
03

Run the Python script below on a schedule (Cloud Run jobs and Cloud Scheduler work well).
04

Query the table or point your BI layer at it.

Config

Python: fetch and insert.

This uses the real endpoint URL with the example Central Warsaw Studio "Zgoda BLUE" id. Swap in your listing id and your API key.

load.py

import requests, psycopg2

URL = "https://api.stayapi.com/v1/airbnb/listing/22135033/pricing?check_in=2026-05-01&check_out=2026-05-03"
HEADERS = {"X-API-Key": "YOUR_API_KEY"}

resp = requests.get(URL, headers=HEADERS, timeout=30)
resp.raise_for_status()
body = resp.json()
records = body.get("data", {}).get("reviews") or body.get("reviews") or body.get("rooms") or []

conn = psycopg2.connect(dsn="YOUR_CONNECTION_STRING")
cur = conn.cursor()
for r in records:
    cur.execute(
        "INSERT INTO stay_data (check_in, check_out, nights, currency) VALUES (%s, %s, %s, %s)",
        (r.get("check_in"), r.get("check_out"), r.get("nights"), r.get("currency")),
    )
conn.commit()
cur.close()
conn.close()