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with Ambivo and Google Dialogflow?

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Create Context with Google Dialogflow API on Contact Status Updated from Ambivo API
Ambivo + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Contact Created from Ambivo API
Ambivo + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Lead Created from Ambivo API
Ambivo + Google Dialogflow
 
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Create Entities with Google Dialogflow API on Contact Status Updated from Ambivo API
Ambivo + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New Contact Created from Ambivo API
Ambivo + Google Dialogflow
 
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Contact Status Updated from the Ambivo API

Emit new event when a contact's status has been updated.

 
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New Contact Created from the Ambivo API

Emit new event when a new contact is created in Ambivo.

 
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New Lead Created from the Ambivo API

Emit new event when a new lead is created in Ambivo CRM.

 
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Create Context with the Google Dialogflow API

Creates a context, See REST docs and client API

 
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Get Contacts with the Ambivo API

Retrieves a list of contacts in Ambivo. See the documentation

 
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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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Get Leads with the Ambivo API

Retrieves a list of leads in Ambivo. See the documentation

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

Overview of Ambivo

The Ambivo API provides access to a range of services for web scraping, image processing, and data extraction. On Pipedream, you can leverage these capabilities to automate workflows that require the transformation and analysis of content from various sources. Whether you're looking to extract text from images, scrape web data without getting blocked, or perform content-based image retrieval, Ambivo can be integrated with Pipedream's serverless platform to build robust and scalable automations.

Connect Ambivo

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

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