Connect Confluence Cloud to Github like Magic
How to Use Magical to Transfer Data from Confluence Cloud to Github
Connect your apps with ease
Transfer Data from Confluence Cloud to Github: A Step-by-Step Guide
With Magical, you can transfer data from Confluence Cloud to Github in seconds – no complex integrations or code required. In this post, we'll discuss what Magical is, how to install it, and how to use Magical to transfer data from Confluence Cloud to Github, helping you streamline your project management and development processes.
More Confluence Cloud integrations with Magical
What Confluence Cloud data can you transfer
Magical enables you to transfer a wide array of data from Confluence Cloud to Github. Here are some examples of the information you can extract:
Document Title
Document Content
Document Author
Document Date
And move more types of information by creating your own custom labels.
How to Transfer data from Confluence Cloud to Github using Magical?
Now that you have the Magical Chrome extension installed, let's discuss how to transfer data from Confluence Cloud to Github for more efficient project management. Follow these steps:
Sign in to your Confluence Cloud account and open the page containing the data you want to transfer, such as project details and issue descriptions.
In Confluence Cloud, label the information you want to transfer with Magical, like Project Name, Issue Title, or Issue Description.
Sign in to your Github account and open the repository where you want to add the Confluence Cloud data.
Type "//" in an empty field and select the information you want to transfer from Confluence Cloud such as Project Name, Issue Title, etc.
The next time you fill out a repository, Magical will automatically transfer all the fields into the form with one click.
About Confluence Cloud and Github
Efficient project management and development are crucial to maintaining a smooth workflow. Confluence Cloud is a powerful project management platform and Github is a robust development platform. Combining the capabilities of these two platforms can significantly enhance your project management and development efforts. By leveraging Magical, you can easily move information from Confluence Cloud to Github, allowing you to focus on managing projects and developing solutions.
Other ways to connect Confluence Cloud and Github
Using Zapier
Zapier provides a seamless connection between Confluence Cloud and Github, allowing for automatic data transfer between the two platforms without the need for coding. This integration offers a variety of triggers and actions, enabling you to automate workflows and save time
Using an API
An additional approach to integrate Confluence Cloud and Github is by directly utilizing their APIs. By integrating both APIs, you empower project management and development teams with real-time project insights, fostering improved communication and a superior project management experience. To employ this method, refer to their respective API documentation.
Common Questions
WHAT IS MAGICAL
Magical is an agentic AI platform that deploys AI Employees to handle complex, end-to-end workflows across your systems—without APIs, integrations, or engineering lift. Instead of simple data extraction, Magical’s AI understands your workflows, navigates interfaces, makes decisions, and completes tasks just like a trained team member would.
Whether it’s moving data between applications, verifying information, completing multi-step processes, or monitoring queues, Magical automates work reliably and transparently. You can watch every click, see every decision, and trust that your AI Employees are completing work with accuracy, speed, and full auditability.
HOW TO INSTALL MAGICAL
The first step is to book a demo. Our team will walk you through how Magical’s AI Employees work, what’s possible for your organization, and where automation can have the biggest impact.
After the demo, you’ll be paired with a dedicated AI Deployment Engineer who will guide you through setting up your first automation. Most teams go live in about a week—no integrations, no IT lift, and no lengthy configuration. Just a clear workflow, a quick build, and your first AI Employee up and running.
