Sync Country Data to Firestore Database
This workflow is designed to automatically fetch and update country, language, and currency data in Firestore on a monthly basis
Monthly Country, Language, and Currency Data Sync his workflow automates the process of fetching the latest country, language, and currency data from the RES Countries API and saves it to Firestore. his ensures your Firestore database always has up-to-date country information, which can be useful for filtering users based on location and nationality. he workflow is triggered to run every month, keeping your data fresh and accurate. Use case his workflow is designed to keep your Firestore database updated with the latest country, language, and currency data by running a monthly sync. his is especially useful for applications that rely on accurate and up-to-date location-based filtering. Overview We have a stats syncer that runs at a regular interval (monthly) to fetch country data from the RES Countries API. he workflow processes the data to save country, language, and currency information into separate Firestore collections.
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How to import this workflow into Pipedream
- 1Purchase or download the workflow to get the Pipedream workflow definition.
- 2In Pipedream, create a new workflow and add the trigger and steps from the definition.
- 3Connect your own accounts and set any environment variables the steps need.
- 4Deploy the workflow and send a test event to verify it.
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