Formerly known as Twitter. From breaking news and entertainment to sports and politics, get the full story with all the live commentary. Use a X developer app you've created to send API requests.
Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Pipedream source.
Emit new events with the results of an arbitrary query
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
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
Inserts rows into a BigQuery table. See the docs and for an example here.
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
})
},
})
The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.
module.exports = defineComponent({
props: {
google_cloud: {
type: "app",
app: "google_cloud",
}
},
async run({steps, $}) {
// Required workaround to get the @google-cloud/storage package
// working correctly on Pipedream
require("@dylburger/umask")()
const { Storage } = require('@google-cloud/storage')
const key = JSON.parse(this.google_cloud.$auth.key_json)
// Creates a client from a Google service account key.
// See https://cloud.google.com/nodejs/docs/reference/storage/1.6.x/global#ClientConfig
const storage = new Storage({
projectId: key.project_id,
credentials: {
client_email: key.client_email,
private_key: key.private_key,
}
})
// Uncomment this section and rename for your bucket before running this code
// const bucketName = 'pipedream-test-bucket';
await storage.createBucket(bucketName)
console.log(`Bucket ${bucketName} created.`)
},
})