Integrate the SegMetrics API with the Python API

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

Popular SegMetrics and Python Actions#

Create Or Update Contact with the SegMetrics API

Create or update a contact. See documentation here

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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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Create Or Update Order with the SegMetrics API

Creates a client. See documentation here

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Create Or Update Subscription with the SegMetrics API

Create or update a subscription. See documentation here

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Overview of SegMetrics#

The SegMetrics API grants programmatic access to SegMetrics data, allowing users to extract detailed insights about their marketing efforts. With it, you can automate the retrieval of conversion data, contact lists, tags, and more, to better understand your marketing funnel performance. Leveraging Pipedream's processing capabilities, you can create intricate workflows that respond to this data in real-time, running logic or actions contingent on the insights you gain from SegMetrics.

Connect SegMetrics#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    segmetrics: {
      type: "app",
      app: "segmetrics",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.segmetrics.io/${this.segmetrics.$auth.account_id}/contact/{{YOUR_CONTACT_ID}}`,
      headers: {
        "Authorization": `${this.segmetrics.$auth.api_key}`,
      },
    })
  },
})

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}}