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Automate data extraction from conversations. Connecting Google Dialogflow ES with Airparser on Latenode lets you extract structured data from chatbot interactions and use it in other apps. Customize the logic with JavaScript and scale affordably with execution-based pricing.
Connect Google Dialogflow ES and Airparser in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Dialogflow ES, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Dialogflow ES or Airparser will be your first step. To do this, click "Choose an app," find Google Dialogflow ES or Airparser, and select the appropriate trigger to start the scenario.

Select the Google Dialogflow ES node from the app selection panel on the right.

Google Dialogflow ES
Click on the Google Dialogflow ES node to configure it. You can modify the Google Dialogflow ES URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Google Dialogflow ES node, select Airparser from the list of available apps, and choose the action you need from the list of nodes within Airparser.

Google Dialogflow ES
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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.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
β
Airparser
Trigger on Webhook
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Google Dialogflow ES
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β
Iterator
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Webhook response
After configuring Google Dialogflow ES, Airparser, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Google Dialogflow ES and Airparser integration works as expected. Depending on your setup, data should flow between Google Dialogflow ES and Airparser (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Dialogflow ES + Airparser + Google Sheets: When a user interacts with a Google Dialogflow ES chatbot, their message is sent to Airparser to extract specific data. This extracted data is then added as a new row in a Google Sheets spreadsheet for analysis and tracking.
Airparser + Google Dialogflow ES + Slack: When a new document is uploaded to Airparser, the data is extracted and sent to Google Dialogflow ES to qualify the lead based on intent. If the lead is qualified, a notification is sent to a Slack channel with the lead's information.
About Google Dialogflow ES
Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.
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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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How can I connect my Google Dialogflow ES account to Airparser using Latenode?
To connect your Google Dialogflow ES account to Airparser on Latenode, follow these steps:
Can I automate data extraction from customer inquiries using AI?
Yes, easily! Use Google Dialogflow ES to process inquiries, then use Airparser to extract key data. Latenode adds AI to automate parsing and routing, saving time and boosting accuracy.
What types of tasks can I perform by integrating Google Dialogflow ES with Airparser?
Integrating Google Dialogflow ES with Airparser allows you to perform various tasks, including:
How can I scale my Google Dialogflow ES automations using Latenode?
Latenode's robust infrastructure lets you scale Google Dialogflow ES workflows effortlessly. Add more volume and complexity, worry-free, with our performance.
Are there any limitations to the Google Dialogflow ES and Airparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: