How to Build a Hotel Price Tracker Using Google Hotels Data and Python

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A developer tutorial published on DEV Community outlines how to extract Google Hotels pricing data as structured JSON without a Google API key, since no public API exists for reading hotel prices. The method uses the Google Hotels Prices Scraper on Apify, which accepts search queries, check-in and check-out dates, occupancy, and currency, then returns hotel rates and per-source booking offers. A Python script can be scheduled to run daily, appending nightly rates and totals to a CSV file to build a price history over time. For automated alerts, an n8n workflow template chains a daily trigger, an Apify HTTP request, a price-comparison code node, and an email or Slack notification when prices drop beyond a set threshold. The approach is aimed at travelers, revenue managers, and developers who need programmatic access to hotel rate data for tracking, parity checks, or historical analysis.

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