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Typeform

Typeform lets you build no-code forms, quizzes, and surveys - and get more responses.

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Google Dialogflow

Integrate the Typeform API with the Google Dialogflow API

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

Popular Ways to Connect Typeform with Google Dialogflow

Create Context with Google Dialogflow API on New Submission from Typeform API
Typeform + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New Submission from Typeform API
Typeform + Google Dialogflow
 
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Create Entity Type with Google Dialogflow API on New Submission from Typeform API
Typeform + Google Dialogflow
 
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Create Intent with Google Dialogflow API on New Submission from Typeform API
Typeform + Google Dialogflow
 
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Create or Update Agent with Google Dialogflow API on New Submission from Typeform API
Typeform + Google Dialogflow
 
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Popular Typeform and Google Dialogflow Triggers

New Submission from the Typeform API

Emit new submission

 
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Popular Typeform and Google Dialogflow Actions

Create Context with the Google Dialogflow API

Creates a context, See REST docs and client API

 
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Create a Form with the Typeform API

Creates a form with its corresponing fields. See the docs here

 
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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 an Image with the Typeform API

Adds an image in your Typeform account. See the docs here

 
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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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Overview of Typeform

The Typeform API furnishes you with the means to create dynamic forms and collect user responses in real-time. By leveraging this API within Pipedream's serverless platform, you can automate workflows to process this data, integrate seamlessly with other services, and react to form submissions instantaneously. This empowers you to craft tailored responses, synchronize with databases, trigger email campaigns, or even manage event registrations without manual intervention.

Connect Typeform

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    typeform: {
      type: "app",
      app: "typeform",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.typeform.com/me`,
      headers: {
        Authorization: `Bearer ${this.typeform.$auth.oauth_access_token}`,
      },
    })
  },
})

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.`)
    }
  },
})
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