Amplitude

Build better products by turning your user data into meaningful insights, using Amplitude's digital analytics platform and experimentation tools.

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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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

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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

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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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo