Autoklose

Autoklose built a well-rounded outbound sales platform. It features automated lead generation software and email drip campaign management tools with CRM integration.

Integrate the Autoklose API with the Python API

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

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.

 
Try it

Overview of Autoklose

The Autoklose API taps into the power of sales automation, enabling users to streamline email campaigns, manage contacts, and track performance metrics without manual effort. By leveraging the API with Pipedream, you can craft serverless workflows that react to various triggers, such as new subscribers or campaign events, and automate actions like updating CRM records or initiating follow-up tasks. This orchestration is key to nurturing leads efficiently and can dramatically improve a sales team's productivity.

Connect Autoklose

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    autoklose: {
      type: "app",
      app: "autoklose",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.autoklose.com/api/me`,
      params: {
        api_token: `${this.autoklose.$auth.api_key}`,
      },
    })
  },
})

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

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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}}