Klenty

The Sales Engagement Platform that can help you send personalized emails and automated follow-ups at scale.

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.

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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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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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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Connect Klenty

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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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}