Get Airbnb reviews into BigQuery.

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

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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. Here the reviews endpoint pours that text into 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. On this page it holds Airbnb reviews, refreshed from one endpoint call.

The call

One endpoint returns Airbnb reviews.

The Airbnb Listing Reviews 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 Reviews /v1/airbnb/listing/reviews/{listing_id} https://api.stayapi.com/v1/airbnb/listing/reviews/22135033

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/reviews/22135033"
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 (id, rating, text, language) VALUES (%s, %s, %s, %s)",
        (r.get("id"), r.get("rating"), r.get("text"), r.get("language")),
    )
conn.commit()
cur.close()
conn.close()