Google Chat and Airparser Integration

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Automate data extraction from documents with Airparser, then instantly share key insights via Google Chat. Latenode's visual editor and affordable execution pricing makes this process easier to scale and customize without code. Use JavaScript for advanced parsing before Google Chat notifications.

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Google Chat

Airparser

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Chat and Airparser

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

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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Google Chat

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Connect Google Chat

Sign In

Run node once

Add the Airparser Node

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

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Airparser

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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Google Chat

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Airparser

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Connect Airparser

Sign In

Run node once

Configure the Google Chat 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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Google Chat

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Airparser Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the Google Chat 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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AI Anthropic Claude 3

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Airparser

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Trigger on Webhook

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Save and Activate the Scenario

After configuring Google Chat, 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 Google Chat and Airparser integration works as expected. Depending on your setup, data should flow between Google Chat 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 Google Chat and Airparser

Google Chat + Airparser + Google Sheets: When a new message is received in Google Chat, Airparser extracts data from it. The extracted data is then added as a new row in a Google Sheet.

Airparser + Jira + Google Chat: When Airparser extracts a bug report from a document, a new issue is created in Jira. A message is then sent to Google Chat to notify the team about the new Jira issue.

Google Chat and Airparser 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 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 Google Chat and Airparser

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

To connect your Google Chat account to Airparser 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 Airparser accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I extract data to Google Chat from parsed invoices?

Yes, you can! Latenode enables parsing invoice data with Airparser and instantly sending summaries to Google Chat. Automate notifications and streamline financial updates effortlessly.

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

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

  • Send parsed data updates to specific Google Chat channels.
  • Trigger alerts in Google Chat based on parsed data thresholds.
  • Automatically share document summaries in team chats.
  • Create reports in Airparser triggered by Google Chat commands.
  • Collect feedback on parsed data directly within Google Chat.

Can I use JavaScript to customize data transformation in Latenode?

Yes! Latenode allows custom JavaScript blocks. Transform parsed Airparser data before sending to Google Chat, enabling complex data manipulations.

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

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

  • Complex Airparser configurations may require advanced Latenode workflow design.
  • Rate limits on the Google Chat API might affect high-volume message sending.
  • Certain advanced Airparser features might require custom JavaScript code.

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