Confluence and Airparser Integration

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Automate data extraction from documents parsed by Airparser, then seamlessly update your Confluence pages with the results. Latenode's visual editor simplifies complex data flows, and affordable execution time keeps your costs down as your automation scales to handle more documents.

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Confluence

Airparser

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Confluence and Airparser

Create a New Scenario to Connect Confluence and Airparser

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 Confluence, triggered by another scenario, or executed manually (for testing purposes). In most cases, Confluence or Airparser will be your first step. To do this, click "Choose an app," find Confluence or Airparser, and select the appropriate trigger to start the scenario.

Add the Confluence Node

Select the Confluence node from the app selection panel on the right.

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Configure the Confluence

Click on the Confluence node to configure it. You can modify the Confluence URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect Confluence

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Run node once

Add the Airparser Node

Next, click the plus (+) icon on the Confluence node, select Airparser from the list of available apps, and choose the action you need from the list of nodes within Airparser.

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Authenticate Airparser

Now, click the Airparser node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Airparser settings. Authentication allows you to use Airparser through Latenode.

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Configure the Confluence and Airparser Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

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Run node once

Set Up the Confluence and Airparser Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Confluence, Airparser, 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 Confluence and Airparser integration works as expected. Depending on your setup, data should flow between Confluence and Airparser (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Confluence and Airparser

Confluence + Jira: When a new page is created in Confluence, extract the content and create a corresponding issue in Jira for project tracking.

Airparser + Confluence + Slack: When Airparser extracts data, create a summary page in Confluence, then notify the team about the new summary via Slack.

Confluence and Airparser integration alternatives

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.

Similar apps

Related categories

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.

See how Latenode works

FAQ Confluence and Airparser

How can I connect my Confluence account to Airparser using Latenode?

To connect your Confluence account to Airparser on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Confluence and click on "Connect".
  • Authenticate your Confluence and Airparser accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically update Confluence pages with parsed data?

Yes, you can! Latenode’s visual editor makes it easy to map Airparser data directly into Confluence pages, automating content updates and saving you time. Enjoy seamless real-time data synchronization.

What types of tasks can I perform by integrating Confluence with Airparser?

Integrating Confluence with Airparser allows you to perform various tasks, including:

  • Extracting data from invoices and updating Confluence tables automatically.
  • Populating Confluence pages with data scraped from websites using Airparser.
  • Automatically creating summaries of parsed documents within Confluence.
  • Monitoring web data and triggering Confluence page updates on changes.
  • Building a knowledge base by automatically parsing and importing data to Confluence.

What Confluence actions can I automate using Latenode's integration?

You can automate page creation, updates, content extraction, and more. Latenode's visual interface simplifies complex Confluence automations.

Are there any limitations to the Confluence and Airparser integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations may require custom JavaScript code.
  • Very large documents might exceed processing limits with standard plans.
  • Real-time synchronization depends on the API rate limits of both services.

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