What do you want to automate
with Segment and Python?
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Popular Segment and Python Triggers#
Send events to a webhook. Requires a Team or Business account.
Popular Segment and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Identify lets you tie a user to their actions and record traits about them. It includes a unique User ID and any optional traits you know about them (note requires userId or anonymousId). See the docs here
Overview of Segment#
The Segment API enables you to collect, manage, and route your customer analytics data to various tools for marketing, analytics, and data warehousing. By harnessing the Segment API on Pipedream, you can automate the ingestion and syncing of user events and properties to multiple destinations, allowing you to create seamless data pipelines without manual intervention. Pipedream's serverless platform empowers you to build custom workflows that react to events in real-time, enrich data, or trigger actions across your tech stack.
Connect Segment#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
segment: {
type: "app",
app: "segment",
}
},
async run({steps, $}) {
const data = {
"event": `PipedreamTestOrder`,
"anonymousId": `019mr8mf4r`,
}
return await axios($, {
method: "post",
url: `https://api.segment.io/v1/track`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.segment.$auth.write_key}`,
password: ``,
},
data,
})
},
})
Overview of Python#
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:
Connect Python#
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies