Elastic Email
All the email marketing and delivery tools you need to communicate with your customers. Most attractive monthly pricing and pay-as-you-go option on the market.
Integrate the Elastic Email API with the Python API
Setup the Elastic Email API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Elastic Email and Python remarkably fast. Free for developers.
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Popular Elastic Email and Python Triggers#
Emit new event when a new contact is added to a mailing list. See the documentation
Emit new event when a recipient clicks a link in an email. See the documentation.
Emit new event when a recipient opens an email. See the documentation.
Popular Elastic Email and Python Actions#
Adds a new contact to a mailing list. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Sends an email to one or more recipients. See the documentation
Unsubscribes a contact from future emails. See the documentation
Overview of Elastic Email#
The Elastic Email API allows you to integrate a robust email sending platform into your Pipedream workflows. Use it to send emails, manage contacts, and track campaign statistics. With this API, you can automate email notifications, synchronize subscriber lists, or trigger marketing campaigns based on user actions.
Connect Elastic Email#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
elastic_email: {
type: "app",
app: "elastic_email",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.elasticemail.com/v2/account/profileoverview`,
headers: {
"X-ElasticEmail-ApiKey": `${this.elastic_email.$auth.api_key}`,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies