
When this happens...
New Output

Automatically do this!
Enable Integrations or automations with these events of PhantomBuster and Highcharts
Triggers when specific Phantom finishes
Launch a saved Phantom and optionally wait until it produces an output.
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Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.

Unlock your team's potential with 5 straightforward automation hacks designed to streamline processes and free up valuable time for more important work.

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 PhantomBuster and Highcharts accounts to viaSocket. Once connected, you can set up a workflow where an event in PhantomBuster triggers actions in Highcharts (or vice versa).
Absolutely. You can customize how PhantomBuster data is recorded in Highcharts. This includes choosing which data fields go into which fields of Highcharts, setting up custom formats, and filtering out unwanted information.
The data sync between PhantomBuster and Highcharts 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 PhantomBuster and Highcharts. 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.
PhantomBuster is a powerful tool for automating data extraction and web scraping tasks, enabling users to gather insights from various online platforms efficiently.
Learn MoreHighcharts is a popular JavaScript charting library that enables developers to create interactive and responsive charts for web applications. It offers a wide range of chart types and is highly customizable, making it suitable for visualizing complex data sets.
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