Hosted APIs that are flexible, scalable, and easy to integrate
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
Add a member to a list owned by the user. See the documentation
The Pusher API offers real-time communication capabilities for apps, enabling instant data delivery. With Pipedream, you can harness these features to create dynamic, real-time workflows that react to events, update clients immediately, and synchronize data across users and systems. It's perfect for powering live dashboards, instant notifications, chat applications, and any scenario where you need to push updates quickly and efficiently. Pipedream's serverless platform empowers you to build and run workflows that leverage Pusher's APIs without managing any infrastructure.
module.exports = defineComponent({
props: {
pusher: {
type: "app",
app: "pusher",
}
},
async run({steps, $}) {
const Pusher = require('pusher')
const { appId, key, secret, cluster } = this.pusher.$auth
const pusher = new Pusher({
appId,
key,
secret,
cluster,
useTLS: true
})
await pusher.trigger('my-channel', 'my-event', {
"message": "hello world"
})
},
})
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
})
},
})