Integrate the Leadoku API with the Python API

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

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Popular Ways to Connect Leadoku with Python#

Run Python Code with Python API on New Connection from Leadoku API

Leadoku + Python

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Run Python Code with Python API on New Responder from Leadoku API

Leadoku + Python

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Popular Leadoku and Python Triggers#

New Connection from the Leadoku API

Emit new event each time a new connection is made in Leadoku. See the documentation

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New Responder from the Leadoku API

Emit new event when there is a new responder in Leadoku. See the documentation

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Popular Leadoku 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.

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Overview of Leadoku#

The Leadoku API allows for the automation of lead capture, enrichment, and management processes. By interfacing with Leadoku on Pipedream, users can streamline the integration of lead data into sales, marketing, and CRM systems, enhancing lead qualification and accelerating sales cycles. This API serves well for businesses looking to automate the flow of lead information between platforms and derive insights from lead data with minimal manual intervention.

Connect Leadoku#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    leadoku: {
      type: "app",
      app: "leadoku",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.growth-x.com/growth/apis`,
      params: {
        method: `new_connections`,
        analytics_code: `${this.leadoku.$auth.analytics_code}`,
      },
    })
  },
})

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}}

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