User onboarding software. Build product tours, checklists and more. No coding needed.
Emit new event when a user has completed all tasks in a checklist. See the documentation
Emit new new event when an event is tracked in Userflow. See the documentation
Emit new event when a flow is completed by a user by reaching a goal step. See the documentation
Creates or updates a user in Userflow. If the user does not already exist in Userflow, it will be created. If it already exists, the given attributes will be merged into the existing user's attributes. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Finds an existing user by user ID or email, optionally filtering by group ID. See the documentation
The Userflow API allows you to automate and integrate the process of creating and managing in-app guides and walkthroughs. Using the API within Pipedream, you can programmatically trigger events, update user attributes, and manage flows, thereby creating a personalized user experience within your application. This opens up possibilities for syncing user data, customizing user onboarding experiences, and tracking user progress without manual intervention.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
userflow: {
type: "app",
app: "userflow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.userflow.com/users`,
headers: {
Authorization: `Bearer ${this.userflow.$auth.api_key}`,
"Userflow-Version": `2020-01-03`,
},
})
},
})
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}}