Integrate the Klenty API with the Python API

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

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Popular Ways to Connect Klenty with Python#

Run Python Code with Python API on New Cadence Started from Klenty API

Klenty + Python

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Run Python Code with Python API on New Email Bounced from Klenty API

Klenty + Python

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Popular Klenty and Python Triggers#

New Cadence Started from the Klenty API

Emit new event when a new cadence is started.

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New Email Bounced from the Klenty API

Emit new event when an email to a prospect bounces.

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Popular Klenty and Python Actions#

Add Prospect to List with the Klenty API

Adds a new prospect to a list in Klenty. 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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Start Cadence with the Klenty API

Starts a cadence in Klenty for a specific prospect. See the documentation

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Update Prospect with the Klenty API

Updates an existing prospect's information in Klenty. See the documentation

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Overview of Klenty#

The Klenty API enables automation of your sales engagement by integrating with Pipedream. With this API, you can sync leads, automate email campaigns, and manage tasks without manual intervention, creating a seamless sales workflow. By leveraging Pipedream's serverless execution model, you can set up custom triggers, actions, and data transformations between Klenty and various other apps.

Connect Klenty#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    klenty: {
      type: "app",
      app: "klenty",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.klenty.com/apis/v1/user/${this.klenty.$auth.username}/lists`,
      headers: {
        "x-API-key": `${this.klenty.$auth.api_key}`,
      },
      params: {
        listName: `YOUR_LIST_NAME`,
      },
    })
  },
})

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}}

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