PDF.co and MongoDB Integration

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Automatically parse data from PDF.co documents and seamlessly store it in MongoDB. Latenode's visual editor makes it easier than ever to process and manage document data, and our affordable pricing scales with your needs. Augment your workflows with JavaScript code or AI for advanced document insights.

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PDF.co

MongoDB

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PDF.co and MongoDB

Create a New Scenario to Connect PDF.co and MongoDB

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

Add the PDF.co Node

Select the PDF.co node from the app selection panel on the right.

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Configure the PDF.co

Click on the PDF.co node to configure it. You can modify the PDF.co 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 MongoDB Node

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

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Authenticate MongoDB

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

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

Most powerful ways to connect PDF.co and MongoDB

PDF.co + MongoDB + Slack: Automatically parse invoices using PDF.co, store the extracted data in MongoDB, and send a notification to a Slack channel for accounting review.

MongoDB + PDF.co + Gmail: Monitor MongoDB for a specific number of records. Upon reaching the threshold, generate a PDF summary using PDF.co and email it via Gmail.

PDF.co and MongoDB integration alternatives

About PDF.co

Need to automate PDF tasks? Use PDF.co in Latenode to parse data, convert formats, and add signatures. Automate document processing workflows without code. Latenode’s visual editor and affordable pricing make it easy to build scalable solutions for invoices, reports, and more. Bypass manual work and centralize document automation.

About MongoDB

Use MongoDB in Latenode to automate data storage and retrieval. Aggregate data from multiple sources, then store it in MongoDB for analysis or reporting. Latenode lets you trigger workflows based on MongoDB changes, create real-time dashboards, and build custom integrations. Low-code tools and JavaScript nodes unlock flexibility for complex data tasks.

See how Latenode works

FAQ PDF.co and MongoDB

How can I connect my PDF.co account to MongoDB using Latenode?

To connect your PDF.co account to MongoDB on Latenode, follow these steps:

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

Can I archive parsed PDF data into MongoDB?

Yes, you can! Latenode’s visual editor simplifies archiving. Store structured data extracted by PDF.co directly into MongoDB collections for analysis & reporting, using no-code blocks or custom JS.

What types of tasks can I perform by integrating PDF.co with MongoDB?

Integrating PDF.co with MongoDB allows you to perform various tasks, including:

  • Automatically backing up processed PDF documents to a MongoDB database.
  • Storing parsed data extracted from PDFs directly into MongoDB collections.
  • Creating searchable archives of PDF content within your MongoDB database.
  • Generating reports from PDF data and saving summaries to MongoDB.
  • Triggering updates to MongoDB when new PDFs are processed by PDF.co.

How does Latenode simplify PDF data extraction for MongoDB storage?

Latenode's no-code blocks plus custom JS simplify complex PDF.co parsing and streamline data transformation before MongoDB insertion, ensuring clean and usable data.

Are there any limitations to the PDF.co and MongoDB integration on Latenode?

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

  • Large PDF files might cause performance delays depending on your PDF.co plan.
  • Complex MongoDB schema designs require JavaScript knowledge for advanced transformations.
  • Real-time synchronization depends on the polling interval and API rate limits.

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