Wicked Reports

Wicked Reports is the world's 1st advanced sales attribution and done-for-you analytics platform for online small and medium businesses.

Integrate the Wicked Reports API with the Python API

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

The Wicked Reports API offers analytical insights into marketing performance, tracking customer journeys, sales, and ROI over time. On Pipedream, you can harness these insights to trigger actions, feed data into other apps, or customize reporting. By integrating Wicked Reports API, you can automate data collection, react to new marketing data in real-time, and build workflows that connect marketing performance to other business processes.

Connect Wicked Reports

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wicked_reports: {
      type: "app",
      app: "wicked_reports",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.wickedreports.com/contacts`,
      headers: {
        "apikey": `${this.wicked_reports.$auth.api_key}`,
        "accept": `application/json`,
      },
      params: {
        from: `{{your_from_date}}`,
        to: `{{your_to_date}}`,
      },
    })
  },
})

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}}