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Notion + PostgreSQL

Manage new PostgreSQL rows by creating corresponding items in Notion

Seamlessly manage your information between PostgreSQL and Notion with this efficient workflow. Each time a new row arises in your PostgreSQL based on your custom query, the corresponding data will be conveniently arranged as a new database item in your Notion app. This saves you valuable time, eradicating the need for manual data transfers and allowing you to focus more on using the data to drive your project forward.

Seamlessly manage your information between PostgreSQL and Notion with this efficient workflow. Each time a new row arises in your PostgreSQL based on your custom query, the corresponding data will be conveniently arranged as a new database item in your Notion app. This saves you valuable time, eradicating the need for manual data transfers and allowing you to focus more on using the data to drive your project forward.

  1. When this happens...
    PostgreSQLPostgreSQL
    New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

    TriggerScheduled
  2. automatically do this!
    NotionNotion
    Create Database Item

    Creates an item in a database.

    ActionWrite
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Supported triggers and actions

What does this mean?
    • Table/ViewRequired

    Trigger
    Scheduled
    Try It
    • QueryRequired

    Trigger
    Scheduled
    Try It
    • Table/ViewRequired

    • Primary KeyRequired

    • Order ByRequired

    • Trigger Column

    Trigger
    Scheduled
    Try It
    • TableRequired

    • ID ColumnRequired

    Action
    Write
    • Table/ViewRequired

    • Order By

    • Dedupe Key

    Trigger
    Scheduled
    Try It
    • TableRequired

    Action
    Write
    • TableRequired

    • Lookup ColumnRequired

    • Lookup ValueRequired

    Action
    Search
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Related categories

  • Task Management
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About PostgreSQL

PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.

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