Booking.com BigQuery

Get Booking.com 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.

Booking.com Booking.com

Booking.com carries the largest structured review corpus in hospitality: numeric sub-scores, reviewer country, stay type, and dated text on every property. Rates and rooms sit behind the same hotel_id. On this page those reviews feed BigQuery, one row per review.

BigQuery 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. Here it becomes the front end for live Booking.com reviews.

The call

One endpoint returns Booking.com reviews.

The Hotel Reviews endpoint returns clean JSON for one hotel. Send your key in the X-API-Key header. See the endpoint docs for every parameter.

Setup

Wire BigQuery to the endpoint.

  1. 01

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

  2. 02

    Create a dataset and table with the schema below.

  3. 03

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

  4. 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 Angsana Laguna Phuket id. Swap in your hotel id and your API key.

load.py
import requests, psycopg2

URL = "https://api.stayapi.com/v1/booking/hotel/reviews?hotel_id=346648"
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, score, reviewed_date) VALUES (%s, %s, %s)",
        (r.get("id"), r.get("score"), r.get("reviewed_date")),
    )
conn.commit()
cur.close()
conn.close()

50 free requests on signup, no card.

Field mapping

Response fields to columns.

Each field from the Hotel Reviews response, and a suggested column name.

Response field Column
hotel_id hotel_id
reviews_returned reviews_returned
id id
score score
reviewed_date reviewed_date
Result

What it looks like in BigQuery.

The fields from the mapping above land as columns: hotel_id, reviews_returned, id, score. Refreshed on the schedule you set.

The columns you get

Every row is one hotel record from the Hotel Reviews response. These fields become columns:

  • hotel_id
  • reviews_returned
  • id
  • score
  • reviewed_date
BigQuery showing Booking.com reviews

Get your key.

Sign up, copy your key into the snippet above, and pull live Booking.com reviews into BigQuery.

01 · the fast path

Try it free

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  • Live API key in 30 seconds
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  • Same schema as paid
02 · talk to us

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