Connect SE Ranking and MariaDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for SE Ranking
Choose an Action
Automatically do this!
- Request a new Action for MariaDB
Enable Integrations or automations with these events of SE Ranking and MariaDB
Enable Integrations or automations with these events of SE Ranking and MariaDB
Actions
Backlinks Metrics Data
Get Backlinks Metrics Data.
List Backlinks Data
List Backlinks Data.
Backlinks Count
Returns the number of backlinks for the target.
Count Referring IPs
Count Referring IPs.
Count Referring Subnets
Count Referring Subnets
Create Keyword Group
Create Keyword Group.
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Frequently Asked Questions
To start, connect both your SE Ranking and MariaDB accounts to viaSocket. Once connected, you can set up a workflow where an event in SE Ranking triggers actions in MariaDB (or vice versa).
Absolutely. You can customize how SE Ranking data is recorded in MariaDB. This includes choosing which data fields go into which fields of MariaDB, setting up custom formats, and filtering out unwanted information.
The data sync between SE Ranking and MariaDB 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 SE Ranking and MariaDB. 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 SE Ranking
SE Ranking is a comprehensive SEO software solution designed to help businesses and marketers improve their online visibility and search engine rankings. It offers a suite of tools for keyword research, competitor analysis, website audit, backlink monitoring, and more, making it an essential platform for optimizing digital marketing strategies.
Learn MoreAbout MariaDB
MariaDB is a popular open-source relational database management system that is a fork of MySQL. It is designed to offer a robust, scalable, and secure database solution for developers and businesses, providing enhanced performance and features over its predecessor.
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