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Automatically populate your Confluence knowledge base by parsing data from websites and documents using Airparser. With Latenode, extract, transform, and load data flexibly, adding custom logic with JavaScript if needed, and pay only for execution time.
Connect Airparser and Confluence in minutes with Latenode.
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Create a New Scenario to Connect Airparser and Confluence
In the workspace, click the “Create New Scenario” button.
Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Airparser, triggered by another scenario, or executed manually (for testing purposes). In most cases, Airparser or Confluence will be your first step. To do this, click "Choose an app," find Airparser or Confluence, and select the appropriate trigger to start the scenario.
Add the Airparser Node
Select the Airparser node from the app selection panel on the right.
Airparser
Configure the Airparser
Click on the Airparser node to configure it. You can modify the Airparser URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Confluence Node
Next, click the plus (+) icon on the Airparser node, select Confluence from the list of available apps, and choose the action you need from the list of nodes within Confluence.
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Confluence
Authenticate Confluence
Now, click the Confluence node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Confluence settings. Authentication allows you to use Confluence through Latenode.
Configure the Airparser and Confluence Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Airparser and Confluence Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Confluence
Trigger on Webhook
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Airparser
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Airparser, Confluence, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Airparser and Confluence integration works as expected. Depending on your setup, data should flow between Airparser and Confluence (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Airparser + Confluence + Slack: When a new document is uploaded to Airparser, extract the data and create a new page in Confluence. Then, send a message to a specified Slack channel to notify the team about the new Confluence page.
Confluence + Airparser + Jira: When a new page is created in Confluence, its content is extracted using Airparser. Based on the extracted content, a new Jira issue is created to track related tasks or bugs.
About Airparser
Airparser in Latenode extracts data from PDFs, emails, and documents. Automate data entry by feeding parsed content directly into your CRM or database. Use Latenode's logic functions to validate or transform data, then trigger actions like sending notifications or updating records. Scale document processing without complex code.
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About Confluence
Automate Confluence tasks in Latenode: create pages, update content, or trigger workflows when pages change. Connect Confluence to other apps (like Jira or Slack) for streamlined project updates and notifications. Use Latenode’s visual editor and JS node for custom logic and efficient information sharing across teams.
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How can I connect my Airparser account to Confluence using Latenode?
To connect your Airparser account to Confluence on Latenode, follow these steps:
Can I automatically create Confluence pages from parsed data?
Yes, you can! Latenode’s visual editor simplifies data transfer from Airparser to Confluence, automatically generating pages and saving you time, thanks to flexible no-code and code steps.
What types of tasks can I perform by integrating Airparser with Confluence?
Integrating Airparser with Confluence allows you to perform various tasks, including:
How does Latenode handle Airparser data formatting for Confluence?
Latenode allows custom data transformations using JavaScript, AI prompts, and no-code blocks, ensuring compatibility and optimal formatting for Confluence.
Are there any limitations to the Airparser and Confluence integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: