Connect Browse AI and MYSQL to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Tasks
Triggers when a task is finished successfully.
Table Export
Triggers when a table export successfully .
Do thisActions
Action is the task that follows automatically within your Browse AI integrations.
Bulk Run Tasks
Bulk runs up to 50,000 tasks using a robot.
Find row(s) from a table
Find row(s) via a lookup column.
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.
Update row(s) in a table
Update any existing row in the given table.
Delete row
Deletes row from a table.
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Frequently Asked Questions
To start, connect both your Browse AI and MYSQL accounts to viaSocket. Once connected, you can set up a workflow where an event in Browse AI triggers actions in MYSQL (or vice versa).
Absolutely. You can customize how Browse AI data is recorded in MYSQL. This includes choosing which data fields go into which fields of MYSQL, setting up custom formats, and filtering out unwanted information.
The data sync between Browse AI and MYSQL 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 Browse AI and MYSQL. 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 Browse AI
Browse.ai is a powerful tool designed to automate web data extraction and monitoring. It allows users to easily capture and track data from websites without the need for coding, making it ideal for businesses and individuals looking to streamline their data collection processes.
Learn MoreAbout MYSQL
MySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL) for managing and querying data. It is widely used for its speed, reliability, and flexibility in handling large-scale database applications. MySQL is commonly employed in web development and is a key component of the popular LAMP stack (Linux, Apache, MySQL, PHP/Perl/Python).
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