Flodesk is the world's most intuitive email marketing platform designed to help small businesses grow, nurture and monetize their list while staying beautifully on-brand
Emit new event when a subscriber is added to a segment in Flodesk. See the documentation
Emit new event when a subscriber is created in Flodesk. See the documentation
Emit new event when a subscriber is unsubscribed in Flodesk. See the documentation
Add a subscriber to one or more segments in Flodesk. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates or updates a subscriber in Flodesk. See the documentation
Find a subscriber by email address in Flodesk. See the documentation
The Flodesk API on Pipedream allows you to streamline email marketing efforts by enabling automation of subscriber management and email campaign triggers. With this integration, you can create workflows to sync subscriber data, send personalized emails based on customer actions, and analyze campaign performance, all in a serverless environment. Pipedream's ability to connect with hundreds of apps opens the door to craft custom automation sequences that fit your specific marketing needs.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
flodesk: {
type: "app",
app: "flodesk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.flodesk.com/v1/subscribers`,
headers: {
Authorization: `Bearer ${this.flodesk.$auth.oauth_access_token}`,
},
})
},
})
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}}