This workflow automates the process of enriching contact data by querying a database for potential contacts, sending data batches to DropContact for verification and enrichment, and updating a PostgreSQL database with the enriched information. It includes scheduled triggers, data transformation, batch processing, and integration with Slack for notifications.
The workflow starts with a Schedule Trigger to run periodically. It then queries a PostgreSQL database for contacts with missing email addresses and domain data, filtering out common email providers. The retrieved data is aggregated and processed in batches to optimize API requests.
Each batch of contact data undergoes transformation in a Python code node, preparing the data structure required for DropContact. The batch requests are sent via HTTP POST to DropContact’s batch API, with the process waiting for the batch to complete and downloading the results afterwards.
Once enriched, the contact details are updated back into the PostgreSQL database, marking records as processed with the enriched data. In case of issues, notifications can be sent via Slack. This workflow is useful for maintaining up-to-date, verified contact information automatically, ideal for marketing, sales, or CRM enrichment activities.
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