Followup
FollowUp for email is a lightweight productivity suite that keeps your conversations and tasks from slipping through the cracks.
Integrate the Followup API with the Python API
Setup the Followup API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Followup and Python remarkably fast. Free for developers.
Popular Followup 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 Followup#
The Followup API facilitates the automation of email follow-ups, allowing users to schedule, track, and manage follow-up emails directly within their workflow. By integrating with Pipedream, you can leverage the API to craft intricate automation sequences that can improve response rates, ensure timely engagements, and enhance overall email productivity. Taking advantage of Pipedream's serverless platform, you can connect the Followup API with hundreds of other services to streamline communication tasks, set up reminders, or trigger actions based on email interactions.
Connect Followup#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
followup: {
type: "app",
app: "followup",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.followup.cc/v1/reminders.json`,
params: {
api_key: `${this.followup.$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}}