Booking.com Looker Studio

Get Booking.com rates into Looker Studio.

One endpoint call, the Looker Studio 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. Below, those nightly rates land in Looker Studio as sortable rows.

Looker Studio Looker Studio

Looker Studio reads best from a data source that refreshes itself. The reliable pattern is a Google Sheet in the middle: a script fills it on a schedule, Looker Studio treats it as a live table. In this guide it reads Booking.com rates straight from the StayAPI endpoint.

The call

One endpoint returns Booking.com rates.

The 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 Looker Studio to the endpoint.

  1. 01

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

  2. 02

    Load the API response into a Google Sheet with the Apps Script below, on a time-driven trigger.

  3. 03

    In Looker Studio, add that sheet as a data source.

  4. 04

    Build your report; it re-reads the sheet on each refresh.

Config

Apps Script: fill the bridge sheet.

This uses the real endpoint URL with the example Angsana Laguna Phuket id. Swap in your hotel id and your API key.

refresh.gs
function refreshData() {
  var url = "https://api.stayapi.com/v1/booking/hotel/prices?hotel_id=346648&check_in=2026-05-01&check_out=2026-05-03";
  var response = UrlFetchApp.fetch(url, {
    method: "get",
    headers: { "X-API-Key": "YOUR_API_KEY" },
    muteHttpExceptions: true
  });

  var body = JSON.parse(response.getContentText());
  var records = (body.data && body.data.reviews) || body.reviews || body.rooms || [];

  var sheet = SpreadsheetApp.getActiveSheet();
  sheet.clear();
  sheet.appendRow(["retrieved_at", "block_id", "room_name", "is_refundable", "total_price"]);

  var now = new Date();
  records.forEach(function (r) {
    sheet.appendRow([now, r.block_id, r.room_name, r.is_refundable, r.total_price]);
  });
}

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Field mapping

Response fields to columns.

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

Response field Column
hotel_id hotel_id
block_id block_id
room_name room_name
is_refundable is_refundable
total_price total_price
available_rooms_count available_rooms_count
is_soldout is_soldout
Result

What it looks like in Looker Studio.

The fields from the mapping above land as columns: hotel_id, block_id, room_name, is_refundable. Refreshed on the schedule you set.

The columns you get

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

  • hotel_id
  • block_id
  • room_name
  • is_refundable
  • total_price
  • available_rooms_count
Looker Studio showing Booking.com rates

Get your key.

Sign up, copy your key into the snippet above, and pull live Booking.com rates into Looker Studio.

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