Mailgun is an email automation service built for developers. Powerful transactional email APIs enable you to send, receive, and track emails.
Emit new event when the email recipient could not be reached.
Emit new event when the email recipient clicked on a link in the email. Open tracking must be enabled in the Mailgun control panel, and the CNAME record must be pointing to mailgun.org. See more at the Mailgun User's Manual Tracking Messages section
Emit new event when the email recipient clicked on the spam complaint button within their email client. Feedback loops enable the notification to be received by Mailgun.
Emit new event when an email is sent and accepted by the recipient email server.
Emit new event when an email can't be delivered to the recipient email server.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Delete a mailing list member by address. See the docs here
Retrieve a mailing list member by address. See the docs here
The Mailgun API on Pipedream is a potent tool for automating email operations without the overhead of managing a full-fledged email server. It offers capabilities to send, receive, track, and store emails with ease. With Pipedream's serverless platform, you can trigger workflows using Mailgun events, such as inbound emails or delivery status changes, and connect them to hundreds of other services to streamline communication, marketing, and notification systems within your ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mailgun: {
type: "app",
app: "mailgun",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.mailgun.$auth.region && this.mailgun.$auth.region === "EU" ? "api.eu" : "api"}.mailgun.net/v3/domains`,
auth: {
username: `api`,
password: `${this.mailgun.$auth.api_key}`,
},
})
},
})
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:
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}}