Integrate the Sendfox (Personal Access Token) API with the Python API

Setup the Sendfox (Personal Access Token) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Sendfox (Personal Access Token) and Python remarkably fast. Free for developers.

Popular Sendfox (Personal Access Token) and Python Actions#

Create contact with the Sendfox (Personal Access Token) API

Creates new contact

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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 Sendfox (Personal Access Token)#

Sendfox is an email marketing tool designed for content creators. You can automate your email marketing operations by programmatically managing contacts, campaigns, and lists. Pipedream leverages this by allowing you to connect Sendfox with numerous other apps, providing a seamless integration platform to streamline your email marketing workflows. Automate the process of gathering leads from various platforms, syncing your subscriber lists, or triggering personalized email sequences based on specific actions or events.

Connect Sendfox (Personal Access Token)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sendfox_personal_access_token: {
      type: "app",
      app: "sendfox_personal_access_token",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sendfox.com/me`,
      headers: {
        Authorization: `Bearer ${this.sendfox_personal_access_token.$auth.access_token}`,
      },
    })
  },
})

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}}