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 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
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}