TripAdvisor BigQuery

Get TripAdvisor rates 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.

TripAdvisor TripAdvisor

TripAdvisor pairs bubble ratings and review text with multi-provider nightly prices, so one source covers both reputation and rate comparison. On this page those prices feed BigQuery, one row per date.

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 TripAdvisor rates.

The call

One endpoint returns TripAdvisor rates.

The TripAdvisor Hotel Prices 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 The Siam id. Swap in your hotel id and your API key.

load.py
import requests, psycopg2

URL = "https://api.stayapi.com/v1/tripadvisor/hotel/prices/305165?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 (lowest_price, has_member_rates, provider, price_per_night) VALUES (%s, %s, %s, %s)",
        (r.get("lowest_price"), r.get("has_member_rates"), r.get("provider"), r.get("price_per_night")),
    )
conn.commit()
cur.close()
conn.close()

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Field mapping

Response fields to columns.

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

Response field Column
location_id location_id
lowest_price lowest_price
pricing_complete pricing_complete
has_member_rates has_member_rates
provider provider
price_per_night price_per_night
total_stay_price total_stay_price
is_lowest_price is_lowest_price
rooms_remaining rooms_remaining
Result

What it looks like in BigQuery.

The fields from the mapping above land as columns: location_id, lowest_price, pricing_complete, has_member_rates. Refreshed on the schedule you set.

The columns you get

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

  • location_id
  • lowest_price
  • pricing_complete
  • has_member_rates
  • provider
  • price_per_night
BigQuery showing TripAdvisor rates

Get your key.

Sign up, copy your key into the snippet above, and pull live TripAdvisor rates into BigQuery.

01 · the fast path

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