Integrate the Pipeliner CRM API with the Python API

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

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Popular Pipeliner CRM 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 Pipeliner CRM#

The Pipeliner CRM API unlocks a world of possibilities for managing sales pipelines and customer relationships. With Pipedream's serverless integration platform, you can automate routine tasks, sync data across different systems, and trigger bespoke workflows. You can create new leads, update opportunities, fetch account details, and more. By leveraging Pipedream's capabilities, you can seamlessly connect Pipeliner CRM with numerous other apps and services to streamline sales processes, enhance customer engagement, and drive efficiency.

Connect Pipeliner CRM#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pipeliner_crm: {
      type: "app",
      app: "pipeliner_crm",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.pipeliner_crm.$auth.region}.pipelinersales.com/api/v100/rest/spaces/${this.pipeliner_crm.$auth.space_id}/entities/Clients`,
      auth: {
        username: `${this.pipeliner_crm.$auth.username}`,
        password: `${this.pipeliner_crm.$auth.password}`,
      },
    })
  },
})

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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