Docparser and Fibery Integration

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Automatically extract data from documents in Docparser and sync it to Fibery for structured project management. Latenode’s visual editor and affordable pricing makes complex parsing workflows easier to build and scale.

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Docparser

Fibery

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Docparser and Fibery

Create a New Scenario to Connect Docparser and Fibery

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

Add the Docparser Node

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

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Configure the Docparser

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

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Run node once

Add the Fibery Node

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

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Authenticate Fibery

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

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Configure the Docparser and Fibery 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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Run node once

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

Most powerful ways to connect Docparser and Fibery

Docparser + Fibery + Slack: When Docparser parses a document, the extracted data is used to create a new entity in Fibery. Then, a message is sent to a specified Slack channel to notify the team about the new Fibery entity.

Docparser + Fibery + Google Sheets: When Docparser parses an invoice, the extracted data is used to create or find an entity in Fibery. The key metrics from the parsed invoice are then added as a new row to a Google Sheet for logging and analysis.

Docparser and Fibery integration alternatives

About Docparser

Extract data from PDFs, invoices, and forms automatically with Docparser in Latenode. Stop manual data entry. Build workflows that trigger actions based on parsed content. Use Latenode’s no-code tools to filter, transform, and route data to your database or apps, creating scalable document processing pipelines.

About Fibery

Sync Fibery's structured data—tasks, projects, wikis—into Latenode for automated workflows. Trigger actions like sending notifications on status changes or updating other tools. Latenode adds logic and integrations Fibery lacks, building complex flows with no code. Automate cross-functional workflows beyond Fibery's native capabilities.

See how Latenode works

FAQ Docparser and Fibery

How can I connect my Docparser account to Fibery using Latenode?

To connect your Docparser account to Fibery on Latenode, follow these steps:

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

Can I automatically update Fibery with parsed invoice data?

Yes, you can! Latenode’s visual editor makes it easy to map Docparser data to Fibery fields, ensuring accurate and automated updates. Simplify accounting and project tracking.

What types of tasks can I perform by integrating Docparser with Fibery?

Integrating Docparser with Fibery allows you to perform various tasks, including:

  • Automatically creating Fibery items from parsed documents.
  • Updating Fibery fields with data extracted from Docparser.
  • Triggering Fibery automations based on Docparser data changes.
  • Centralizing document data and project tracking in one place.
  • Streamlining invoice processing and reporting workflows.

What Docparser document types work best with the Latenode integration?

Docparser integrates seamlessly with Latenode for invoices, receipts, and contracts. Automate extraction of data into Fibery effortlessly.

Are there any limitations to the Docparser and Fibery integration on Latenode?

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

  • Complex document structures may require advanced parsing rules in Docparser.
  • Fibery API rate limits may affect high-volume data transfer.
  • Custom field mapping requires careful configuration for optimal results.

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