Booking.com MCP Tracker — Hotel Drop Alerts + AI
Pricing
Pay per usage
RAG-ready Booking.com hotel feed for travel-research agents — prices, reviews, amenities, PDP enrichment. Cross-run rate-history tracks 7/30-day deltas with price-drop, volatile, new-low alerts. 99%+ run success. AI via 5 LLM providers. Built for revenue managers and travel agencies. x402-ready.
You can access the Booking.com MCP Tracker — Hotel Drop Alerts + AI 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 Integrations settings 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 "searchUrl": "https://www.booking.com/searchresults.html?ss=Amsterdam",10 "destination": "Amsterdam",11 "ollamaBaseUrl": "http://localhost:11434",12 "proxyConfiguration": {13 "useApifyProxy": True,14 "apifyProxyGroups": ["RESIDENTIAL"],15 },16}17
18# Run the Actor and wait for it to finish19run = client.actor("harvestlab/booking-scraper").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])23for item in client.dataset(run["defaultDatasetId"]).iterate_items():24 print(item)25
26# 📚 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 MCP Tracker — Hotel Drop Alerts + AI API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: