User.com
Improve sales, customer success and marketing processes with a single automation tool for communicating in all the channels and gathering all the data about your visitors.
Integrate the User.com API with the Python API
Setup the User.com API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate User.com and Python remarkably fast. Free for developers.
Popular User.com 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 User.com#
The User.com API offers a robust platform for automating personalized customer interactions and streamlining user engagement strategies. By employing this API on Pipedream, you can create intricate workflows that trigger actions based on user behavior, synchronize data across various platforms, and engage users with targeted communication. Whether you're aiming to automate marketing campaigns, optimize customer support, or create a dynamic user experience, the User.com API provides the tools to construct a tailored approach.
Connect User.com#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
user_com: {
type: "app",
app: "user_com",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.user_com.$auth.subdomain}.user.com/api/public/users/`,
headers: {
"Authorization": `Token ${this.user_com.$auth.api_key}`,
"Accept": `*/*; version=2`,
},
})
},
})
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}}