Integrate the 1CRM API with the Python API

Setup the 1CRM API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate 1CRM and Python remarkably fast. Free for developers.

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Popular 1CRM and Python Actions#

Create Contact with the 1CRM API

Creates a new contact in the 1CRM system. See the documentation

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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 Lead with the 1CRM API

Crafts a new lead in 1CRM. See the documentation

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Update Contact with the 1CRM API

Modifies an existing contact within the 1CRM system. See the documentation

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Update Lead with the 1CRM API

Updates an existing lead in 1CRM. See the documentation

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Overview of 1CRM#

The 1CRM API enables robust integration of 1CRM systems with external applications, facilitating automated workflows and data synchronization. With Pipedream, you can leverage this API to connect 1CRM with hundreds of other services, automate repetitive tasks, streamline sales processes, and enhance customer relationship management. By creating workflows on Pipedream, you can trigger actions in 1CRM based on events from other apps, manipulate and analyze CRM data, and improve overall business efficiency without manual intervention.

Connect 1CRM#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    _1crm: {
      type: "app",
      app: "_1crm",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this._1crm.$auth.url}/api.php/me`,
      auth: {
        username: `${this._1crm.$auth.username}`,
        password: `${this._1crm.$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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