Magnetic

Magnetic Software is a single integrated cloud Project Management, Sales CRM & Accounts platform.

Integrate the Magnetic API with the Python API

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

Run Python Code with Python API on New Task Created from Magnetic API
Magnetic + Python
 
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New Task Created from the Magnetic API

Emit new event when a new task is created See docs here

 
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Create Contact with the Magnetic API

Create a new contact. 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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Create Opportunity/Job with the Magnetic API

Create a new opportunity/job. See docs here

 
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Create Task with the Magnetic API

Create a new task. See docs here

 
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Find Task with the Magnetic API

Search for a task by name or description See docs here

 
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Overview of Magnetic

Magnetic is a project management and workflow automation platform designed to help agencies stay organized and streamline operations. With the Magnetic API on Pipedream, you can automate routine tasks, sync data across various apps, and create custom workflows to enhance productivity. From task creation and time tracking to financial management and reporting, Pipedream’s serverless execution model lets you connect Magnetic with a plethora of other services without the need for a dedicated server setup.

Connect Magnetic

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    magnetic: {
      type: "app",
      app: "magnetic",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.magnetichq.com/Magnetic/rest/coreAPI/users`,
      params: {
        token: `${this.magnetic.$auth.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}}