Myphoner

Simple cold outreach for remote sales teams. Myphoner is a cold outreach platform that takes the complexity and guesswork out of cold calling.

Integrate the Myphoner API with the Python API

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

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 Myphoner

Myphoner API offers a streamlined approach to managing your lead tracking and cold calling workflow. By connecting Myphoner with Pipedream, you can automate lead distribution, follow-ups, and integrate with other CRMs or communication tools. Pipedream's serverless platform enables you to create custom workflows without managing infrastructure, letting you focus on improving sales processes, enhancing lead qualification, and nurturing customer relationships through automated, data-driven actions.

Connect Myphoner

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    myphoner: {
      type: "app",
      app: "myphoner",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.myphoner.$auth.domain}.myphoner.com/api/v2/lists`,
      headers: {
        "Authorization": `Token ${this.myphoner.$auth.api_key}`,
        "Accept": `application/json`,
        "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

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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}}