Update PostgreSQL row for new Patreon member
Patreon + PostgreSQL Integration
Patreon + PostgreSQL Integration
Connect Patreon to PostgreSQL in 1 click
Free forever.Use premium features free for 14 days.1.
Member is created in Patreon Instant- Member is deleted in Patreon Instant
- Member is updated in Patreon Instant
- Pledge on a membership is created in Patreon Instant
- Pledge on a membership is updated in Patreon Instant
- Pledge on a membership is deleted in Patreon Instant
Row is created in PostgreSQL- Row is created or updated in PostgreSQL
- Row is created (Custom Query) in PostgreSQL
- Table is created in PostgreSQL
- Column is created in PostgreSQL
2.
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Ready Workflows for Patreon + PostgreSQL Integration
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Most popular automations
Create PostgreSQL row from new Patreon order
Patreon + PostgreSQL Integration
Create PostgreSQL row from updated Patreon member
Patreon + PostgreSQL Integration
Create PostgreSQL row for new Patreon member
When a new member is created in your Patreon software, automatically create a row for them in your PostgreSQL. This way, you'll always have up-to-date contact information and can easily track communications. Plus, you won't have to waste time manually entering data into both systems. Setting up this automation will save you time and hassle in the long run.
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Top 10 Most Popular Patreon Automations from
Integrately Community
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Share new Patreon order via Telegram message
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Create MemberPress member for new Patreon member
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Create AWeber contact for new Patreon order
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Most popular
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02
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You Can Also Connect Patreon or PostgreSQL With 1400+ Other Apps
Patreon
Patreon started as a way for creators to get paid by their fans. Today it's used by thousands of creators worldwide — from YouTubers to podcasters, writers, webcomics, game developers and more — to bring in sustainable income.
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PostgreSQL
PostgreSQL is a robust and feature-rich open-source database management system. Its advanced data management capabilities, powerful SQL engine, and robust security features can handle even the most demanding workloads.
