Track your visitors in realtime, without compromising their privacy.
Emit new event when a new analytics report is created.
Create a new analytics report for a specified website. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Fetch the analytics report data for a specified website. See the documentation
The H-supertools Analytics Tool API provides insights about SEO and online marketing. With Pipedream, you can leverage these insights in automated workflows. Imagine triggering actions based on keyword volumes, tracking your website's position for certain keywords, or getting alerts when your SEO performance changes. Pipedream's serverless platform lets you connect the H-supertools Analytics Tool with various other apps and services, enabling a host of data-driven applications.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
h_supertools_analytics_tool: {
type: "app",
app: "h_supertools_analytics_tool",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://analytics.h-supertools.com/api/v1/websites`,
headers: {
Authorization: `Bearer ${this.h_supertools_analytics_tool.$auth.api_key}`,
"Accept": `application/json`,
},
})
},
})
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}}