Booking.com Rate Calendar & Booking Curve
Pricing
from $0.40 / 1,000 rate row saveds
Build a price-by-date matrix for any Booking.com market: nightly rate, taxes, refundability and rank versus the market median for every property on every check-in date, plus per-date medians, quartiles and supply movement. Weekend premiums and the forward booking curve included.
You can access the Booking.com Rate Calendar & Booking Curve programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "destinations": ["Austin"],10 "destinationType": "CITY",11 "horizonDays": 30,12 "lengthsOfStay": ["1"],13 "adults": 2,14 "rooms": 1,15 "sortBy": "price",16 "maxPropertiesPerDate": 100,17 "maxRequests": 400,18 "maxConcurrency": 3,19 "currency": "USD",20 "language": "en-us",21 "proxyCountry": "us",22}23
24# Run the Actor and wait for it to finish25run = client.actor("apt_marble/booking-rate-calendar-scanner").call(run_input=run_input)26
27# Fetch and print Actor results from the run's dataset (if there are any)28print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")29for item in client.dataset(run.default_dataset_id).iterate_items():30 print(item)31
32# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Booking.com Rate Calendar & Booking Curve API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: