Looker
Business intelligence
Integrate the Looker API with the Python API
Setup the Looker API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Looker and Python remarkably fast. Free for developers.
Popular Looker 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 Looker#
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.
Connect Looker#
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}`,
},
})
},
})
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}}