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Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Simple Analytics API offers streamlined access to your website analytics data. Pipedream's integration allows you to automate actions based on this data, like triggering events when specific metrics change or combining analytics with other data sources for richer insights. By creating workflows on Pipedream, you can harness the power of Simple Analytics to monitor site performance, understand user behavior, and improve decision-making processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
simple_analytics: {
type: "app",
app: "simple_analytics",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://simpleanalytics.com/api/websites`,
headers: {
"Content-Type": `application/json`,
"Api-Key": `${this.simple_analytics.$auth.api_key}`,
"User-Id": `${this.simple_analytics.$auth.user_id}`,
},
})
},
})
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}}