Connect PostgreSQL and Landbot to Build Intelligent Automations
Choose a Trigger
When this happens...
Postgresql (mutiple table)
Choose an Action
Automatically do this!
Get a Channel
List Channels
Delete a Channel
List Customers
Get a Customer
Delete a Customer
Create a MessageHook
List MessageHooks
Get a MessageHook
Delete a MessageHook
Ready to use PostgreSQL and Landbot automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Postgresql (mutiple table)
Get all the data, which was updated in last 15 min, from all the table provided.
Do thisActions
Action is the task that follows automatically within your PostgreSQL integrations.
Execute a Query (advanced)
You can select, create, update or delete row(s) of table via custom SQL query.
Insert row
Adds a new row into the table.
Get a Channel
Get an existing channel by its channel ID
List Channels
List all existing channels
Delete a Channel
Delete an existing Channel by its channel ID
List Customers
List all existing Customers
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Frequently Asked Questions
To start, connect both your PostgreSQL and Landbot accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in Landbot (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in Landbot. This includes choosing which data fields go into which fields of Landbot, setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and Landbot typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between PostgreSQL and Landbot. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Landbot
Landbot is a no-code chatbot platform that enables users to create conversational chatbots designed to improve customer engagement and collect valuable user insights. It allows the deployment of chatbots on websites, WhatsApp, or Facebook Messenger without any coding knowledge.
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