Tolstoy
Deliver personal conversations, anytime and anywhere with Tolstoy interactive videos.
Integrate the Tolstoy API with the Python API
Setup the Tolstoy API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Tolstoy and Python remarkably fast. Free for developers.
Popular Tolstoy 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 Tolstoy#
The Tolstoy API offers a suite of tools for engaging with customers through interactive video experiences. With it, you can automate the creation, analysis, and management of interactive video content, streamlining how you engage with your audience. By leveraging the Tolstoy API on Pipedream, you can create powerful automations that react to video interactions, manage leads, and trigger personalized follow-ups based on viewer behavior. This supports a more dynamic and responsive marketing strategy, improves lead qualification processes, and enhances customer support by providing interactive video experiences tailored to user actions and feedback.
Connect Tolstoy#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tolstoy: {
type: "app",
app: "tolstoy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.gotolstoy.com/users/me`,
headers: {
Authorization: `Bearer ${this.tolstoy.$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}}