SparkPost
The emailgeeks most trusted email optimization platform. We help enterprise senders reliably reach the inbox.
Integrate the SparkPost API with the Python API
Setup the SparkPost API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SparkPost and Python remarkably fast. Free for developers.
Popular SparkPost 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 SparkPost#
SparkPost API allows you to send and track emails with precision and scale. Using this API on Pipedream, you can automate email operations, integrate with other services, and analyze email performance. With Pipedream’s serverless platform, you can create workflows that trigger on specific events, process data, and perform actions in response to the insights collected from SparkPost or other apps.
Connect SparkPost#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sparkpost: {
type: "app",
app: "sparkpost",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.sparkpost.$auth.domain}.sparkpost.com/api/v1/account?include=usage`,
headers: {
"Content-Type": `application/json`,
"Authorization": `${this.sparkpost.$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}}