Integrate the HelloLeads API with the Python API

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

Popular Ways to Connect HelloLeads with Python#

Run Python Code with Python API on New Lead Added from HelloLeads API

HelloLeads + Python

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Popular HelloLeads and Python Triggers#

New Lead Added from the HelloLeads API

Emit new event when a new lead is created.

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Popular HelloLeads and Python Actions#

Create Lead with the HelloLeads API

Adds a new lead into the HelloLeads system. See the documentation

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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 HelloLeads#

The HelloLeads API integrates with Pipedream to automate your lead management processes. By leveraging this API on Pipedream, you can streamline contact syncing, lead tracking, and perform actions based on lead status changes. With serverless workflows, you can connect HelloLeads with various apps like CRMs, communication platforms, or data analysis tools to enhance lead engagement, follow-up efficiency, and data-driven decision-making.

Connect HelloLeads#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    helloleads: {
      type: "app",
      app: "helloleads",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.helloleads.io/index.php/private/api/leads`,
      headers: {
        "hls-key": `token=${this.helloleads.$auth.api_key}`,
        "Xemail": `${this.helloleads.$auth.email}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}