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with YouTube Data and Google Dialogflow?

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Create Context with Google Dialogflow API on New Comment In Channel from YouTube (Data API) API
YouTube Data + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Comment Posted from YouTube (Data API) API
YouTube Data + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Liked Videos from YouTube Data API
YouTube Data + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Subscriber from YouTube (Data API) API
YouTube Data + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Subscription from YouTube (Data API) API
YouTube Data + Google Dialogflow
 
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New Comment In Channel from the YouTube Data API

Emit new event for each new comment or reply posted to a Youtube channel (or any of its videos).

 
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New Comment Posted from the YouTube Data API

Emit new event for each new comment or reply posted to a Youtube video.

 
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New Liked Videos from the YouTube Data API

Emit new event for each new Youtube video liked by the authenticated user.

 
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New Subscriber from the YouTube Data API

Emit new event for each new Youtube subscriber to a user Channel.

 
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New Subscription from the YouTube Data API

Emit new event for each new subscription from authenticated user.

 
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Add Playlist Items with the YouTube Data API

Adds resources to a playlist. See the documentation for more information

 
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Create Context with the Google Dialogflow API

Creates a context, See REST docs and client API

 
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Channel Statistics with the YouTube Data API

Returns statistics from my YouTube Channel or by id. See the documentation for more information

 
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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 Comment Thread with the YouTube Data API

Creates a new top-level comment in a video. See the documentation for more information

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

Overview of YouTube Data

The YouTube Data API lets you incorporate functions normally executed on the YouTube website into your own website or application. You can perform operations like searching for videos, retrieving channel data, and managing playlists. When integrated with Pipedream's serverless platform, this API can be part of automations that react to events, synchronize YouTube data with other services, or generate custom reports.

Connect YouTube Data

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    youtube_data_api: {
      type: "app",
      app: "youtube_data_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.youtube_data_api.$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.`)
    }
  },
})

Community Posts

How to use Pipedream to automatically push YouTube Video to Telegram Channel
How to use Pipedream to automatically push YouTube Video to Telegram Channel
Last time, we learned how to use Pipedream to subscribe to economic data. This time we will play with its Source function to achieve the effect of automatically pushing new videos from YouTube Channel to Telegram Channel.

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

Adyen logo
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LinkedIn logo
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Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
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Checkr logo
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LinkedIn logo
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Warner Bros. logo