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

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

Google Vertex AI
Configure the Google Vertex AI
Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Airparser Node
Next, click the plus (+) icon on the Google Vertex AI 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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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.
Configure the Google Vertex AI 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.
Set Up the Google Vertex AI 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
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, 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 Vertex AI and Airparser integration works as expected. Depending on your setup, data should flow between Google Vertex AI 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 Vertex AI and Airparser
Airparser + Google Vertex AI + Google Sheets: When a new document is uploaded to Airparser, its content is analyzed using Google Vertex AI (Gemini). The analysis results are then added as a new row to a Google Sheet for tracking and review.
Airparser + Google Vertex AI + Slack: When a new document is processed by Airparser, Google Vertex AI (Gemini) generates a summary of the extracted information. This summary is then sent as a message to a specified Slack channel.
Google Vertex AI and Airparser integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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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.
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FAQ Google Vertex AI and Airparser
How can I connect my Google Vertex AI account to Airparser using Latenode?
To connect your Google Vertex AI account to Airparser on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Airparser accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically classify parsed support tickets using AI?
Yes, you can! Latenode lets you trigger Google Vertex AI from Airparser to classify support tickets, routing them appropriately and saving time with intelligent automation.
What types of tasks can I perform by integrating Google Vertex AI with Airparser?
Integrating Google Vertex AI with Airparser allows you to perform various tasks, including:
- Extracting key data points from invoices and analyze sentiment.
- Automatically summarizing customer feedback parsed from online reviews.
- Classifying support tickets based on content parsed from emails.
- Generating product descriptions from competitor data scraped via Airparser.
- Parsing job applications and using AI to identify qualified candidates.
What Vertex AI model types are best suited for Latenode integrations?
Latenode supports Vertex AI's text and vision models. Use them to enhance parsing workflows with powerful AI capabilities, without complex coding.
Are there any limitations to the Google Vertex AI and Airparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require JavaScript for optimal handling.
- High-volume API requests may be subject to Google Vertex AI and Airparser rate limits.
- Real-time data synchronization depends on the update frequency of each service.