Integrate the GiantCampaign API with the Python API

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

Popular GiantCampaign and Python Actions#

Add Tags to Subscriber with the GiantCampaign API

Add tags to a new subscriber 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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Create Subscriber with the GiantCampaign API

Create a new subscriber into a list See the documentation.

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Overview of GiantCampaign#

The GiantCampaign API facilitates the automation and integration of email marketing capabilities into various applications and workflows. With this API, you can manage contact lists, design and send email campaigns, track performance metrics, and segment your audience for targeted marketing. Pipedream, with its ability to connect to hundreds of apps, provides a robust platform to create serverless workflows that leverage the capabilities of GiantCampaign. By tapping into event sources and actions, you can seamlessly integrate GiantCampaign with other services to enhance your marketing efforts and streamline processes.

Connect GiantCampaign#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    giantcampaign: {
      type: "app",
      app: "giantcampaign",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://acc.giantcampaign.com/api/v1/lists`,
      headers: {
        "accept": `application/json`,
      },
      params: {
        api_token: `${this.giantcampaign.$auth.api_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}}