This n8n workflow automates the process of scraping event information from a European Union website, managing data to avoid duplicates, and storing new events in Google Sheets. It is designed to run periodically, fetch data from multiple pages, parse the HTML content to extract event details, compare new records with existing entries, and update the dataset accordingly. The workflow is triggered daily, ensuring a fresh and organized collection of event data.
The process begins with a scheduled trigger, often set for early mornings. It initializes static variables to keep track of page numbers and results. The workflow then iterates over multiple pages, making HTTP requests to fetch HTML content. It extracts relevant event blocks from the HTML, parsing details like event name, link, date, location, and type.
This parsed data is combined with previously stored records read from Google Sheets. The workflow checks for duplicate events based on their names, filtering out existing entries. New records are then appended to Google Sheets, maintaining an updated list of upcoming events. Throughout, sticky notes offer guidance, and the workflow includes waiting periods to avoid overloading servers.
This setup is highly useful for organizations or individuals maintaining event calendars, providing continuous, automated data collection, de-duplication, and storage without manual intervention. It ensures your event database is always current with minimal effort.
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