Integrate the Brilliant Directories API with the Python API

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

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Popular Brilliant Directories and Python Actions#

Create Post with the Brilliant Directories API

Creates a single or group post. 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 User with the Brilliant Directories API

Creates a new user record in the website database. See the documentation

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Update Post with the Brilliant Directories API

Updates a post in your website database. See the documentation

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Overview of Brilliant Directories#

The Brilliant Directories API lets you tap into the functionality of your directory software, enabling you to automate tasks, manage listings, users, and more. With Pipedream, you can build serverless workflows integrating the Brilliant Directories API to streamline operations, sync data across platforms, and react to events in real-time.

Connect Brilliant Directories#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    brilliant_directories: {
      type: "app",
      app: "brilliant_directories",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.brilliant_directories.$auth.website_domain}/api/v2/user/get`,
      headers: {
        "accept": `application/json`,
        "X-Api-Key": `${this.brilliant_directories.$auth.api_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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