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.
Trigger your workflow on one or more days each month at a specific time (with timezone support).
Trigger your workflow on one or more days each week at a specific time (with timezone support).
Emit new event when the specified User receives a Follower 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 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 Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.