Integrate the Amplitude API with the Python API

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

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Popular Amplitude and Python Actions#

Send Event Data with the Amplitude API

Sends user event data to Amplitude for analytics. See the documentation

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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 Amplitude#

The Amplitude API empowers you to sync and analyze product data within Amplitude's analytics platform. With Pipedream, you can automate interactions with the Amplitude API to create complex workflows. Send event and user data, query metrics, and automate cohort analysis, which can streamline your data science and product development processes. Integrating Amplitude with Pipedream allows you to connect this data to hundreds of other services for enhanced analytics, marketing automation, and personalized customer experiences.

Connect Amplitude#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    amplitude: {
      type: "app",
      app: "amplitude",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://{{custom_fields.region}/sessions/average`,
      auth: {
        username: `${this.amplitude.$auth.api_key}`,
        password: `${this.amplitude.$auth.api_secret}`,
      },
      params: {
        "p": `platform`,
        start: `20210601`,
        end: `20210630`,
      },
    })
  },
})

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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