Automate Telegram Posts from Postgres (Cross-Posting Module)
Automates text/image posts to Telegram channels by querying a Postgres database. Enables scheduled, consistent cross-posting for efficient content management.
This workflow connects to a Postgres database to fetch post content, including text and images, and automatically publishes it to one or more Telegram channels where the bot is an admin. It supports flexible scheduling and customization via database entries, eliminating manual posting across channels.
Benefits include time savings for channel managers, consistent branding, and scalability for high-volume posting. No more copy-pasting or timing errors—content is pulled dynamically, with options for formatting and targeting specific channels.
Ideal for marketers, news outlets, or community admins handling multiple Telegram groups. Setup involves running a provided SQL script for tables, adding Postgres and Telegram credentials, and tweaking queries for your schema.
Customization is straightforward: adjust post frequency, content templates, or add logic in the database. Perfect for integrating with content management systems or CRMs via Postgres.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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