Scheduled integrations are crucial for transferring data from systems without real-time capabilities, such as webhooks or pub/sub systems, by running at predetermined intervals. Unlike event-driven integrations that react to data changes, scheduled integrations operate on a pull mechanism, querying data at set times, which, while not real-time, can still be timely. They are particularly useful for interacting with APIs that only support queries or for systems that export data as files, common in non-SaaS or legacy environments. The process involves setting up the integration to check source systems at optimal times for data availability, employing custom components to handle data retrieval and processing, and leveraging built-in components from platforms like Prismatic to facilitate file transfers and API interactions. An example discussed involves a scheduled file import from Dropbox into an app, demonstrating a loop that processes each file and updates orders in the Acme app, showcasing the adaptability of scheduled integrations for various data types and formats. Despite the shift towards event-driven APIs in newer apps, scheduled integrations remain a vital solution for integrating with legacy systems, offering a methodical approach to data exchange in environments lacking real-time data propagation capabilities.