Integrate the Campaign Cleaner API with the Python API

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

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Popular Campaign Cleaner and Python Actions#

Get Campaign Status with the Campaign Cleaner API

Check the status of your campaign. 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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Send Campaign with the Campaign Cleaner API

Send in a campaign to be processed and analyzed. See the documentation

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Overview of Campaign Cleaner#

The Campaign Cleaner API offers tools to clean and verify email lists, improving email campaign performance and sender reputation. By integrating with Pipedream, you can automate workflows that enhance your email marketing efforts. Use the API to check the validity of email addresses, remove duplicates, and classify email types. Pipedream's serverless platform allows you to trigger these processes from various events, schedule them, or manually invoke them as needed.

Connect Campaign Cleaner#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    campaign_cleaner: {
      type: "app",
      app: "campaign_cleaner",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.campaigncleaner.com/v1/get_credits`,
      headers: {
        "X-CC-API-Key": `${this.campaign_cleaner.$auth.api_key}`,
        "accept": `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}}

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