Integrate the Act! 365 API with the Python API

Setup the Act! 365 API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Act! 365 and Python remarkably fast. Free for developers.

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Popular Act! 365 and Python Actions#

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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Overview of Act! 365#

The Act! 365 API is a potent tool for managing customer relationships by interacting programmatically with the Act! 365 CRM platform. With Pipedream, you can harness this API to automate interactions with customer data, streamline sales processes, and enhance customer engagement through personalized communications. The API allows you to create, retrieve, update, and delete records such as contacts, companies, opportunities, and activities, paving the way for a vast array of automated workflows that connect Act! 365 with other apps and services to fuel business growth, save time, and reduce manual toil.

Connect Act! 365#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    act_365: {
      type: "app",
      app: "act_365",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.act365.com/act/api/contacts`,
      auth: {
        username: `${this.act_365.$auth.api_key}`,
        password: `${this.act_365.$auth.developer_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}}

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