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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers whenever a selected actor is run and finished.
Triggers whenever a selected task is run and finished.
Action is the task that follows automatically within your AirOps integrations.
Retrieve all apps in your account
Retrieve detail of an app by it's ID
Retrieve an Execution by it's ID
Retrieve all executions up till now
Run a selected actor task.
Creates a new or updates an existing record in a key-value store.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your AirOps and Apify accounts to viaSocket. Once connected, you can set up a workflow where an event in AirOps triggers actions in Apify (or vice versa).
Absolutely. You can customize how AirOps 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 AirOps 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 AirOps 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.
AirOps lets you build and scale powered AI Workflows and Agents starting from templates for a range of use cases including Long-form content generation, Document reformatting, Real-time performant APIs and more.
Learn MoreApify 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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