Platform.ly

The only marketing automation software you will ever need.

Integrate the Platform.ly API with the Python API

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

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.

 
Try it

Overview of Platform.ly

The Platform.ly API allows for deep integration with your marketing automation, CRM, and business intelligence data. Within Pipedream, you can leverage this API to automate workflows, sync data with other services, trigger actions based on customer interactions, and analyze business metrics. The seamless connection with Pipedream opens up possibilities for enriching customer profiles, managing campaigns, and driving analytics-driven decisions.

Connect Platform.ly

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    platform_ly: {
      type: "app",
      app: "platform_ly",
    }
  },
  async run({steps, $}) {
    const data = {
      "api_key": `${this.platform_ly.$auth.api_key}`,
      "action": `profile`,
      "value": `{}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.platform.ly/`,
      headers: {
        "Content-Type": `application/x-www-form-urlencoded`,
      },
      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

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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}}