Integrate the Agendor API with the Python API

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

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Popular Agendor and Python Actions#

Create Organization with the Agendor API

Create Organization 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 Person with the Agendor API

Create Person See the documentation.

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Find Organization with the Agendor API

Find Organization See the documentation.

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Find Person with the Agendor API

Find Person See the documentation.

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Overview of Agendor#

The Agendor API allows for seamless integration with a CRM platform, enabling automation of sales processes, data synchronization, and enhanced analytics. By leveraging the Agendor API on Pipedream, you can orchestrate workflows that react to events in Agendor, manipulate and analyze sales data, and bridge your sales processes with other tools like email marketing services, customer support platforms, and cloud storage solutions.

Connect Agendor#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    agendor: {
      type: "app",
      app: "agendor",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.agendor.com.br/v3/users/me`,
      headers: {
        "Authorization": `Token ${this.agendor.$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#

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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