Connect Plate Recognizer and PhantomBuster to Build Intelligent Automations
Ready to use Plate Recognizer and PhantomBuster automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Output
Triggers when specific Phantom finishes
Do thisActions
Action is the task that follows automatically within your Plate Recognizer integrations.
Run Recognition
Runs a Recognition using Snapshot Cloud SDK
Launch a Phantom
Launch a saved Phantom and optionally wait until it produces an output.
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Frequently Asked Questions
To start, connect both your Plate Recognizer and PhantomBuster accounts to viaSocket. Once connected, you can set up a workflow where an event in Plate Recognizer triggers actions in PhantomBuster (or vice versa).
Absolutely. You can customize how Plate Recognizer data is recorded in PhantomBuster. This includes choosing which data fields go into which fields of PhantomBuster, setting up custom formats, and filtering out unwanted information.
The data sync between Plate Recognizer and PhantomBuster 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 Plate Recognizer and PhantomBuster. 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 Plate Recognizer
Plate Recognizer is a cutting-edge service that specializes in automatic license plate recognition (ALPR) technology. It provides solutions for reading and analyzing vehicle license plates from images and videos, making it ideal for security, parking management, and traffic monitoring applications.
Learn MoreAbout PhantomBuster
PhantomBuster is a powerful tool for automating data extraction and web scraping tasks, enabling users to gather insights from various online platforms efficiently.
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