Google Chat and Docparser Integration

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Automatically extract data from documents with Docparser, then send summaries to Google Chat. Latenode’s visual editor makes it easier to customize data flows, and you only pay for the execution time used, saving costs.

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Google Chat

Docparser

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Chat and Docparser

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

Add the Google Chat Node

Select the Google Chat node from the app selection panel on the right.

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Configure the Google Chat

Click on the Google Chat node to configure it. You can modify the Google Chat 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 Docparser Node

Next, click the plus (+) icon on the Google Chat 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 Chat 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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Run node once

Set Up the Google Chat 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 Chat, 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 Chat and Docparser integration works as expected. Depending on your setup, data should flow between Google Chat 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 Chat and Docparser

Google Chat + Docparser + Google Sheets: When a new message is posted in Google Chat with an attached document, Docparser fetches the document data. The extracted data is then automatically added as a new row in Google Sheets.

Docparser + Google Chat + Jira: When Docparser parses a new document, a summary is sent to Google Chat for approval. Upon receiving a specific message in Google Chat, a new task is created in Jira.

Google Chat and Docparser integration alternatives

About Google Chat

Use Google Chat in Latenode for automated notifications & alerts. Trigger messages based on events in other apps, like new database entries or payment confirmations. Centralize alerts and status updates across services within a single, scalable Latenode workflow. Add custom logic and AI for smart notifications.

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 Chat and Docparser

How can I connect my Google Chat account to Docparser using Latenode?

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

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

Can I automatically post parsed invoice data to Google Chat?

Yes, easily! Latenode lets you create automated workflows to parse invoices with Docparser and instantly send key data to a Google Chat channel, improving team visibility and response time.

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

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

  • Automatically posting document summaries to a Google Chat channel.
  • Sending alerts to Google Chat when a specific document type is parsed.
  • Creating a searchable archive of parsed data directly within Google Chat.
  • Triggering document parsing workflows directly from Google Chat commands.
  • Sharing parsed data with team members via automated Google Chat messages.

Can I use JavaScript to manipulate data between Google Chat and Docparser?

Yes! Latenode allows custom JavaScript code for advanced data transformations, giving you full control over information flowing between Google Chat and Docparser.

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

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

  • Large volumes of documents might impact workflow execution speed.
  • Complex document layouts may require advanced Docparser configuration.
  • Real-time Google Chat updates depend on the polling interval set in Latenode.

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