CrowdPower

Lifecycle automations to keep and convert your customers.

Integrate the CrowdPower API with the Python API

Setup the CrowdPower API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate CrowdPower 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 CrowdPower

The CrowdPower API allows you to automate and streamline customer engagement by creating personalized campaigns and actions based on user behavior. By integrating with Pipedream, you can leverage its serverless platform to connect CrowdPower with hundreds of other apps and services, building workflows that respond to events in real-time. This can optimize how you target customers, manage campaigns, and analyze customer data without manual intervention.

Connect CrowdPower

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    crowdpower: {
      type: "app",
      app: "crowdpower",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.crowdpower.$auth.api_name}.crowdpower.io/v1/projects/63d2e2aab9f2884e7e06f3f9`,
      headers: {
        "Authorization": `Bearer ${this.crowdpower.$auth.application_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

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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}}