Create conversational experiences across devices and platforms.
Emit new event when the specified User receives a Follower See the documentation
Emit new event when the specified User follows a List See the documentation
Emit new event when the specified User is mentioned in a Tweet See the documentation
Emit new event when a new Direct Message (DM) is received See the documentation
Emit new event when a Tweet is liked by the specified User See the documentation
Retrieve Tweets from the last seven days that match a query. See the documentation
Batch create entities, See REST docs and client API docs
Add a member to a list owned by the user. See the documentation
Creates an Entity Type, See REST docs and client API docs
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.
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.`)
}
},
})
The Twitter API on Pipedream enables you to automate interactions with Twitter, from posting tweets to analyzing social media trends. Pipedream's serverless platform provides the tools to create workflows that trigger on specific Twitter activities, process data, and connect with countless other apps for extensive automation scenarios. With Pipedream's integration, you can listen for events such as new tweets, mentions, or followers, and execute actions like tweeting, retweeting, or even leveraging sentiment analysis to gauge public perception.
import { axios } from "@pipedream/platform"
import twitter from "@pipedream/twitter"
export default defineComponent({
props: {
twitter
},
async run({steps, $}) {
const config = {
url: `https://api.twitter.com/2/users/me`,
params: {
"user.fields": `created_at,description,entities,id,location,name,pinned_tweet_id,profile_image_url,protected,url,username,verified,withheld`,
expansions: `pinned_tweet_id`,
},
}
const headers = this.twitter._getAuthHeader(config)
return await axios($, {
...config,
headers
})
},
})