Business intelligence
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Looker API provides programmatic access to Looker's data exploration functionalities, allowing you to tap into your data analytics and share insights across your organization dynamically. With the Looker API on Pipedream, you can automate reporting, synchronize analytics data with other apps, and trigger data-driven workflows. Whether it's scheduling reports, updating dashboards, or integrating data insights into other systems, the Looker API empowers you to make data-informed decisions efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
looker: {
type: "app",
app: "looker",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.looker.$auth.looker_base_url}/api/4.0/user`,
headers: {
"Authorization": `token ${this.looker.$auth.oauth_access_token}`,
},
})
},
})
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:
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}}