Integrate the LaGrowthMachine API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular LaGrowthMachine 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 LaGrowthMachine#

The LaGrowthMachine API on Pipedream allows you to craft powerful sales and marketing automations by leveraging its outreach and follow-up capabilities directly within serverless workflows. With Pipedream's integration, you can trigger actions in LaGrowthMachine based on events from other apps, process data, and automate sequences of tasks to enhance lead generation and engagement strategies.

Connect LaGrowthMachine#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lagrowthmachine: {
      type: "app",
      app: "lagrowthmachine",
    }
  },
  async run({steps, $}) {
    const data = {
      "audience": ``,
    }
    return await axios($, {
      method: "post",
      url: `https://apiv2.lagrowthmachine.com/flow/leads`,
      params: {
        apikey: `${this.lagrowthmachine.$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}}

Start for free — no credit card required

Watch a demo