How to connect Google Dialogflow ES and Airparser
Create a New Scenario to Connect Google Dialogflow ES 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 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.

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

Google Dialogflow ES
Configure the 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.
Add the Airparser Node
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.

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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 Dialogflow ES 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 Dialogflow ES 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.

JavaScript
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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 Dialogflow ES, 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 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.
Most powerful ways to connect Google Dialogflow ES and Airparser
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.
Google Dialogflow ES and Airparser integration alternatives
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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See how Latenode works
FAQ Google Dialogflow ES and Airparser
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:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Dialogflow ES and click on "Connect".
- Authenticate your Google Dialogflow ES and Airparser accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
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:
- Extracting order details from chat transcripts for automated processing.
- Parsing contact information from customer support conversations.
- Identifying key product feedback from user interactions.
- Automating data entry from Google Dialogflow ES to databases.
- Analyzing sentiment from parsed customer feedback within Google Dialogflow ES.
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:
- Complex Airparser templates may require careful configuration for optimal data extraction.
- Google Dialogflow ES API usage is subject to Google's rate limits.
- Advanced error handling in Latenode requires JavaScript knowledge.