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with Customer Fields and Google Dialogflow?

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Create Context with Google Dialogflow API on Customer Created (Instant) from Customer Fields API
Customer Fields + Google Dialogflow
 
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Create Context with Google Dialogflow API on Customer Updated (Instant) from Customer Fields API
Customer Fields + Google Dialogflow
 
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Create Entities with Google Dialogflow API on Customer Created (Instant) from Customer Fields API
Customer Fields + Google Dialogflow
 
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Create Entities with Google Dialogflow API on Customer Updated (Instant) from Customer Fields API
Customer Fields + Google Dialogflow
 
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Create Entity Type with Google Dialogflow API on Customer Created (Instant) from Customer Fields API
Customer Fields + Google Dialogflow
 
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Customer Created (Instant) from the Customer Fields API

Trigger when a new customer is added to the database. See the documentation

 
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Customer Updated (Instant) from the Customer Fields API

Trigger when a profile of a customer has been updated or changed. See the documentation

 
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Create Customer with the Customer Fields API

Create a new customer with detailed attributes using the provided data. See the documentation

 
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Create Context with the Google Dialogflow API

Creates a context, See REST docs and client API

 
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Create Entities with the Google Dialogflow API

Batch create entities, See REST docs and client API docs

 
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Create Entity Type with the Google Dialogflow API

Creates an Entity Type, See REST docs and client API docs

 
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Update Customer with the Customer Fields API

Update an existing customer's information with new provided data. See the documentation

 
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Integrate the Customer Fields API with the Google Dialogflow API
Setup the Customer Fields API trigger to run a workflow which integrates with the Google Dialogflow API. Pipedream's integration platform allows you to integrate Customer Fields and Google Dialogflow remarkably fast. Free for developers.

Overview of Customer Fields

The Customer Fields API provides a suite of tools for managing customer data in e-commerce platforms, including custom form fields and data automation. With it, you can efficiently tailor customer interactions, streamline data collection, and enhance the shopping experience. Integrating Customer Fields with Pipedream allows for seamless automation of tasks like syncing data to other platforms, triggering personalized communications, or managing customer segments based on custom field data.

Connect Customer Fields

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    customer_fields: {
      type: "app",
      app: "customer_fields",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.customerfields.com/api/v2/shop.json`,
      headers: {
        Authorization: `Bearer ${this.customer_fields.$auth.oauth_access_token}`,
        "accept": `application/json`,
        "content-type": `application/json`,
      },
    })
  },
})

Overview of Google Dialogflow

Google Dialogflow API empowers you to create conversational interfaces for websites, apps, and messaging platforms. Think chatbots that can engage in human-like dialogue, provide customer support, guide through sales processes, or control smart home devices with voice commands. With Pipedream's integration capabilities, you can create automated workflows that trigger actions in other apps based on Dialogflow's processed input, enabling seamless interaction across a plethora of services.

Connect Google Dialogflow

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module.exports = defineComponent({
  props: {
    google_dialogflow: {
      type: "app",
      app: "google_dialogflow",
    }
  },
  async run({steps, $}) {
    // Example code from the Dialogflow Node.js library:
    // https://github.com/googleapis/nodejs-dialogflow
    const dialogflow = require('dialogflow')
    const uuid = require('uuid')
    
    // A unique identifier for the given session
    const sessionId = uuid.v4()
    
    const key = JSON.parse(this.google_dialogflow.$auth.key_json)
     
    // Creates a session client from a Google service account key.
    const sessionClient = new dialogflow.SessionsClient({
      projectId: key.project_id,
      credentials: {
        client_email: key.client_email,
        private_key: key.private_key,
      }
    })
    const sessionPath = sessionClient.sessionPath(key.project_id, sessionId)
    
    // The text query request.
    const request = {
      session: sessionPath,
      queryInput: {
        text: {
          // The query to send to the dialogflow agent
          text: 'hello',
          // The language used by the client (en-US)
          languageCode: 'en-US',
        },
      },
    }
    
    // Send request and log result
    const responses = await sessionClient.detectIntent(request)
    console.log('Detected intent')
    const result = responses[0].queryResult
    console.log(`Query: ${result.queryText}`)
    console.log(`Response: ${result.fulfillmentText}`)
    if (result.intent) {
      console.log(`Intent: ${result.intent.displayName}`)
    } else {
      console.log(`No intent matched.`)
    }
  },
})

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo