Cyberimpact
Cyberimpact is an email marketing solution. Send professional emails in just a few clicks. Simple, affordable and efficient, Cyberimpact will help you increase customer loyalty and drive sales.
Integrate the Cyberimpact API with the Python API
Setup the Cyberimpact API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Cyberimpact and Python remarkably fast. Free for developers.
Popular Cyberimpact and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Cyberimpact#
The Cyberimpact API allows for the seamless integration of email marketing tools into your custom workflows, enabling automation of contact management, campaign tracking, and subscriber interaction. Using this API with Pipedream, you can automate the sync of subscriber lists, trigger email campaigns based on specific actions, and analyze campaign performances, all within a serverless environment. This can significantly cut the time spent on routine marketing tasks and enhance the efficiency and effectiveness of your marketing strategies.
Connect Cyberimpact#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cyberimpact: {
type: "app",
app: "cyberimpact",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.cyberimpact.com/ping`,
headers: {
Authorization: `Bearer ${this.cyberimpact.$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}}