Integrate the Zoho Analytics API with the Python API

Setup the Zoho Analytics API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Zoho Analytics and Python remarkably fast. Free for developers.

Popular Zoho Analytics and Python Actions#

Add Row with the Zoho Analytics API

Add a single row in the specified table. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Update Row with the Zoho Analytics API

Update rows in the specified table. See the documentation

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Overview of Zoho Analytics#

The Zoho Analytics API lets you harness the power of your data by automating complex analytics tasks. With this API, you can create, access, and manage reports, dashboards, and KPI widgets programmatically. Integrate with Pipedream's serverless platform to trigger actions based on events, sync data across apps, and automate workflows without managing servers. Whether it's updating datasets in real-time or sending reports to your team, the possibilities stretch as wide as your data does.

Connect Zoho Analytics#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zoho_analytics: {
      type: "app",
      app: "zoho_analytics",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.zoho_analytics.$auth.base_api_uri}/restapi/v2/orgs`,
      headers: {
        "Authorization": `Zoho-oauthtoken ${this.zoho_analytics.$auth.oauth_access_token}`,
        "ZANALYTICS-ORGID": `${this.zoho_analytics.$auth.organization_id}`,
      },
    })
  },
})

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}}