Integrate the CleverTap API with the Python API

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

Popular CleverTap and Python Actions#

Create Or Update User with the CleverTap API

Create or update an user. 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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Upload Events with the CleverTap API

Upload events. See the documentation

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Overview of CleverTap#

CleverTap offers a powerful suite of tools for user engagement and analytics that can help you track user activities, segment users, and run targeted campaigns. Integrating Clevertap with Pipedream allows you to automate interactions with users, synchronize data across platforms, and create personalized marketing strategies. You can trigger workflows with real-time events, analyze user behavior, and leverage Pipedream's ability to connect to hundreds of other apps to enrich and act on your CleverTap data.

Connect CleverTap#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clevertap: {
      type: "app",
      app: "clevertap",
    }
  },
  async run({steps, $}) {
    const data = {
      "event_name": `App Launched`,
      "from": 20171201,
      "to": 20231225,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.clevertap.$auth.region}.clevertap.com/1/profiles.json`,
      headers: {
        "X-CleverTap-Account-Id": `${this.clevertap.$auth.project_id}`,
        "X-CleverTap-Passcode": `${this.clevertap.$auth.pass_code}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}