When this happens...
Finished Actor Run
Finished Task Run
New LinkedIn Post

Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
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.
Runs when new LinkedIn post
Action is the task that follows automatically within your Apify integrations.
Run a selected actor task.
Creates a new or updates an existing record in a key-value store.
Runs a selected actor.
Finds the most recent actor run with a specific status.
Get items from an Apify dataset into your workflow.
Find a dataset in Apify by searching with its ID.

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To start, connect both your Apify and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Apify triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Apify data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between Apify and V7 Go 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 Apify and V7 Go. 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.
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.
Learn MoreV7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
Learn More