StoryScale
Create shareable product tours and demos in minutes.
Integrate the StoryScale API with the Python API
Setup the StoryScale API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate StoryScale and Python remarkably fast. Free for developers.
Popular StoryScale and Python Triggers#
Emit new event when a new tour is created. See the documentation
Emit new event when a tour gets published. See the documentation
Popular StoryScale 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 StoryScale#
The StoryScale API enables the creation, management, and retrieval of storytelling content. Integrated within Pipedream's ecosystem, you can automate interactions with the StoryScale API to streamline content workflows, react to events, and sync data across various platforms. Pipedream's serverless platform simplifies the process of setting up event-driven workflows, making it straightforward to harness the capabilities of the StoryScale API without writing complex infrastructure code.
Connect StoryScale#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
storyscale: {
type: "app",
app: "storyscale",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://prodapi.storyscale.com/api/v1/user/profile`,
headers: {
Authorization: `Bearer ${this.storyscale.$auth.oauth_access_token}`,
"accept": `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}}