Sendfox (OAuth)

Email marketing service

Integrate the Sendfox (OAuth) API with the Python API

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

Add new contact into a specific list with the Sendfox (OAuth) API
 
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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 (OAuth)

Sendfox is an email marketing platform designed for content creators. With the Sendfox (OAuth) API on Pipedream, you can automate your marketing efforts by creating workflows that trigger based on specific events or conditions. This includes sending customized emails, managing contacts, and analyzing campaign performance, all programmatically. By leveraging Pipedream's capabilities, you can connect Sendfox to a myriad of other services to streamline processes, such as collecting new subscribers from various sources, syncing contact lists, or triggering campaigns from external events.

Connect Sendfox (OAuth)

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

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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}}