Integrate the PersistIQ API with the Python API

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

Popular Ways to Connect PersistIQ with Python#

Run Python Code with Python API on New Prospect Created from PersistIQ API

PersistIQ + Python

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Popular PersistIQ and Python Triggers#

New Prospect Created from the PersistIQ API

Emit new events when a new prospect was created. See the docs

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Popular PersistIQ and Python Actions#

Add Do Not Contact Domain with the PersistIQ API

Creates a new DNC domain. See docs here

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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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Add Prospect To Campaign with the PersistIQ API

Adds prospect to a campaign. See docs here

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Create Or Update Prospect with the PersistIQ API

Creates a prospect. Updates if there is already a prospect with the given email. See docs here

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Overview of PersistIQ#

PersistIQ is a sales automation platform that streamlines outbound sales processes with personalized email campaigns and task management. By leveraging the PersistIQ API on Pipedream, you can craft intricate automation workflows that enhance lead management, align sales communications, and improve team productivity. This API interaction enables real-time synchronization of lead data, automated campaign actions, and analytics integration, fostering a seamless sales operation.

Connect PersistIQ#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    persistiq: {
      type: "app",
      app: "persistiq",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.persistiq.com/v1/users`,
      headers: {
        "x-api-key": `${this.persistiq.$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#

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}}