StreamWish
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Integrate the StreamWish API with the Python API
Setup the StreamWish API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate StreamWish and Python remarkably fast. Free for developers.
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Popular StreamWish 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 StreamWish#
The StreamWish API lets you connect and automate actions related to streaming services. With Pipedream, you can create workflows that trigger on specific events or schedules and use the StreamWish API to manage wishlists, alert viewers to new content, or aggregate streaming service data. By integrating the StreamWish API into Pipedream, you can design custom automations that enhance viewer engagement and streamline the content discovery process.
Connect StreamWish#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
streamwish: {
type: "app",
app: "streamwish",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.streamwish.com/api/account/info`,
params: {
key: `${this.streamwish.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies