Postmark
Postmark is a fast and reliable email delivery service that enables you to send transactional and marketing emails and get them to the inbox on time, every time.
Integrate the Postmark API with the Python API
Setup the Postmark API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Postmark and Python remarkably fast. Free for developers.
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Popular Postmark and Python Triggers#
Emit new event when an email is opened by a recipient (See docs here)
Emit new event when an email is received by the Postmark server. This source updates the server's inbound URL. You cannot create multiple inbound sources for the same server. See the documentation
Popular Postmark and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Delete a specific sender signature. See the documentation
Overview of Postmark#
The Postmark API enables developers to easily integrate programmatic emailing into their applications. With the API, developers can create, send, and track transactional emails that are designed to enhance user experience and user engagement. The API also provides developers with access to powerful analytics and insights, such as open/click rates, spam complaints, bounces, and unsubscribes.
Connect Postmark#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
postmark: {
type: "app",
app: "postmark",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.postmarkapp.com/server`,
headers: {
"X-Postmark-Server-Token": `${this.postmark.$auth.server_api_token}`,
"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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies