Integrate the Leadpops API with the Python API

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

Popular Leadpops and Python Actions#

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 Leadpops#

The Leadpops API provides a toolkit for optimizing lead conversion for real estate and mortgage professionals. By integrating Leadpops with Pipedream, users can automate lead capture processes, streamline follow-up communications, and synchronize lead information across various marketing and CRM platforms. Pipedream’s serverless execution model and easy-to-use interface allow for building complex workflows to act upon data received from Leadpops without delving deep into coding.

Connect Leadpops#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    leadpops: {
      type: "app",
      app: "leadpops",
    }
  },
  async run({steps, $}) {
    const data = {
      "funnel": `SalCompany.clixwithus.com`,
      "from_date": `2022-03-20`,
      "to_date": `2022-03-20`,
      "limit": `100`,
    }
    return await axios($, {
      method: "post",
      url: `http://api.leadpops.com/api/v1/leads`,
      headers: {
        "Content-Type": `application/json`,
        "leadpops-authorization": `${this.leadpops.$auth.api_key}`,
      },
      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#

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}}