RD Station CRM

Discover RD Station CRM, the CRM System that will help you control your business process and generate more sales.

Integrate the RD Station CRM API with the Python API

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

RD Station CRM API offers a suite of powerful tools for managing customer relationships and sales pipelines. With this API, you can automate the syncing of lead information, update records, and manage sales activities. By leveraging Pipedream's capabilities, you can create intricate workflows that react to events in RD Station CRM, synchronize data across multiple platforms, and trigger actions that streamline your sales and marketing processes.

Connect RD Station CRM

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rd_station_crm: {
      type: "app",
      app: "rd_station_crm",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://plugcrm.net/api/v1/token/check`,
      params: {
        token: `${this.rd_station_crm.$auth.api_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}}