Integrate the RudderStack HTTP API with the Python API

Setup the RudderStack HTTP API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate RudderStack HTTP and Python remarkably fast. Free for developers.

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Popular RudderStack HTTP and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of RudderStack HTTP#

The RudderStack HTTP API gives you the power to track and send events to RudderStack from anywhere you can make an HTTP request. With this API, you can streamline data from your apps, websites, and servers directly into RudderStack, enabling real-time analytics and insights. Using Pipedream, you can harness this capability to automate data collection and orchestration, syncing event data with other services, triggering actions based on customer behavior, or even enriching event data before it hits your data warehouse.

Connect RudderStack HTTP#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rudderstack: {
      type: "app",
      app: "rudderstack",
    }
  },
  async run({steps, $}) {
    const data = {
      "userId": `{{pass_user_id_here}}`,
      "anonymousId": `{{or_pass_anonymouse_user_id_here}}`,
    }
    return await axios($, {
      method: "post",
      url: `${this.rudderstack.$auth.data_plane_url}/v1/identify`,
      auth: {
        username: `${this.rudderstack.$auth.source_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}}

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