Google Cloud Pub\Sub and Docparser Integration

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Automate document processing at scale by connecting Google Cloud Pub\Sub to Docparser. Latenode’s visual editor simplifies complex workflows while offering JavaScript customization, plus pay-by-execution pricing keeps costs low as you scale automated document extraction.

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Google Cloud Pub\Sub

Docparser

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud Pub\Sub and Docparser

Create a New Scenario to Connect Google Cloud Pub\Sub and Docparser

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

Add the Google Cloud Pub\Sub Node

Select the Google Cloud Pub\Sub node from the app selection panel on the right.

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Configure the Google Cloud Pub\Sub

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

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Add the Docparser Node

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

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Authenticate Docparser

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

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

Most powerful ways to connect Google Cloud Pub\Sub and Docparser

Docparser + Google Sheets: When a document is parsed by Docparser, extract the data and add it as a new row in a Google Sheet for analysis and record keeping.

Docparser + Slack: When Docparser successfully parses a document, send a notification to a specified Slack channel to alert the team. The message includes document information.

Google Cloud Pub\Sub and Docparser integration alternatives

About Google Cloud Pub\Sub

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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.

See how Latenode works

FAQ Google Cloud Pub\Sub and Docparser

How can I connect my Google Cloud Pub\Sub account to Docparser using Latenode?

To connect your Google Cloud Pub\Sub account to Docparser on Latenode, follow these steps:

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

Can I automatically parse data from Google Cloud Pub\Sub messages with Docparser?

Yes, you can. Latenode lets you extract specific data points via Docparser from Pub/Sub messages and use it in other apps, automating data processing and saving time.

What types of tasks can I perform by integrating Google Cloud Pub\Sub with Docparser?

Integrating Google Cloud Pub\Sub with Docparser allows you to perform various tasks, including:

  • Automatically extracting data from financial reports sent via Pub/Sub.
  • Parsing customer feedback data streamed through Google Cloud Pub/Sub.
  • Processing invoices delivered through Pub/Sub using Docparser.
  • Analyzing shipping documents received via Google Cloud Pub/Sub.
  • Extracting key data from legal documents published through Pub/Sub.

How can I handle large volumes of messages from Google Cloud Pub\Sub?

Latenode's architecture scales to handle large Pub/Sub message volumes, enabling robust data processing without performance bottlenecks.

Are there any limitations to the Google Cloud Pub\Sub and Docparser integration on Latenode?

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

  • Complex document layouts in Docparser might require advanced parsing rules.
  • Google Cloud Pub/Sub message size limits can affect the amount of data processed.
  • Real-time data processing depends on the latency of both services.

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