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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.
Finished Actor Run
Triggers whenever a selected actor is run and finished.
Finished Task Run
Triggers whenever a selected task is run and finished.
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.
Run Task
Run a selected actor task.
Set Key-Value Store Record
Creates a new or updates an existing record in a key-value store.
Run Actor
Runs a selected actor.
Find Last Actor Run
Finds the most recent actor run with a specific status.
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Frequently Asked Questions
To start, connect both your PostgreSQL and Apify accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in Apify (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in Apify. This includes choosing which data fields go into which fields of Apify, setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and Apify 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 Apify. 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 Apify
Apify is a powerful, scalable platform designed to automate web scraping, data extraction, and web automation tasks effortlessly. Whether you need to collect data from websites, automate repetitive browser actions, or build complex workflows, Apify provides a robust, developer-friendly environment to make it happen—without sacrificing flexibility or control.
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