Connect MYSQL and Docparser to Build Intelligent Automations

Choose a Trigger

MYSQL

When this happens...

Choose an Action

Docparser

Automatically do this!

Enable Integrations or automations with these events of MYSQL and Docparser

Enable Integrations or automations with these events of MYSQL and Docparser

Actions

Find row(s) from a table

Find row(s) from a table

Find row(s) via a lookup column.

Execute a Query (advanced)

Execute a Query (advanced)

You can select, create, update or delete row(s) of table via custom SQL query.

Insert Row

Insert Row

Adds a new row into the table.

Update row(s) in a table

Update row(s) in a table

Update any existing row in the given table.

Delete row

Delete row

Deletes row from a table.

tesitng

tesitng

this is only for testing purpose

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Frequently Asked Questions

How do I start an integration between MYSQL and Docparser?

To start, connect both your MYSQL and Docparser accounts to viaSocket. Once connected, you can set up a workflow where an event in MYSQL triggers actions in Docparser (or vice versa).

Can we customize how data from MYSQL is recorded in Docparser?

Absolutely. You can customize how MYSQL data is recorded in Docparser. This includes choosing which data fields go into which fields of Docparser, setting up custom formats, and filtering out unwanted information.

How often does the data sync between MYSQL and Docparser?

The data sync between MYSQL and Docparser typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from MYSQL to Docparser?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between MYSQL and Docparser?

Yes, you can set conditional logic to control the flow of data between MYSQL and Docparser. 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.

MYSQL

About 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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Docparser

About Docparser

Docparser is a cloud-based document data extraction tool which automates the process of converting PDFs, Microsoft Office documents, and other formatted files into structured data. Docparser can be used to automate various business processes by capturing data fields from your documents and feeding the parsed data into other software applications.

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