Integrate the Lahar API with the Python API

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

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Popular Lahar 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 Lahar#

The Lahar API enables users to automate and integrate their marketing efforts, facilitating lead management, email campaigns, and analytics. On Pipedream, you can leverage these capabilities to build serverless workflows that respond to events in real-time, sync data across various platforms, and create custom marketing automations without managing infrastructure.

Connect Lahar#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lahar: {
      type: "app",
      app: "lahar",
    }
  },
  async run({steps, $}) {
    const data = {
      "token_api_lahar": `${this.lahar.$auth.api_token}`,
      "email_contato": `{email_address}`,
      "estagio_lead": `1`,
    }
    return await axios($, {
      method: "put",
      url: `https://app.lahar.com.br/api/leads`,
      headers: {
        "Content-Type": `application/json`,
      },
      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}}

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