Outseta
A better way to launch your SaaS start-up, membership site, or online community.
Integrate the Outseta API with the Python API
Setup the Outseta API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Outseta and Python remarkably fast. Free for developers.
Popular Outseta and Python Triggers#
Emit new event when an account is added. See the documentation
Popular Outseta 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 Outseta#
The Outseta API provides a versatile set of endpoints for interacting with a company's CRM, subscription billing, customer support, and email marketing functionalities. With this API on Pipedream, you can automate tasks, synchronize data across platforms, and build powerful workflows that cater to various aspects of SaaS business operations. Pipedream's serverless execution model enables integrating Outseta's services with numerous other apps without managing infrastructure, focusing on logic and efficiency.
Connect Outseta#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
outseta_: {
type: "app",
app: "outseta",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.outseta.$auth.domain}.outseta.com/api/v1/crm/people`,
headers: {
"Authorization": `Outseta ${this.outseta.$auth.api_key}:${this.outseta.$auth.api_secret}`,
"Content-Type": `application/json`,
},
})
},
})
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}}