Cloze

Cloze automatically keeps track of your email, phone calls, text messages, meetings, documents, Evernote, LinkedIn, Facebook, and Twitter.

Integrate the Cloze API with the Python API

Setup the Cloze API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Cloze 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 Cloze

The Cloze API enables you to access and manage your Cloze CRM data programmatically. In Pipedream, you can create powerful, serverless workflows that react to events or run on schedules to automate tasks involving Cloze data. You could synchronize contacts, track communication history, or trigger actions based on updates in Cloze. By leveraging Pipedream's capacity to connect to a myriad of services, you can create multi-step workflows that involve other apps to streamline your business processes and harness the full potential of CRM automation.

Connect Cloze

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloze: {
      type: "app",
      app: "cloze",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cloze.com/v1/profile`,
      headers: {
        Authorization: `Bearer ${this.cloze.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}