Integrate the Brex API with the Python API

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

Popular Ways to Connect Brex with Python#

Run Python Code with Python API on New Transfer Event (Instant) from Brex API

Brex + Python

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Popular Brex and Python Triggers#

New Transfer Event (Instant) from the Brex API

Emit new event for new failed or processed events

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Popular Brex and Python Actions#

Create Card with the Brex API

Creates a new card. See the docs here.

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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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Invite User with the Brex API

Invites a new user as an employee. See the docs here.

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List Transactions for Primary Card Account with the Brex API

Lists all settled transactions for the primary card account. See the docs here.

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List Transactions for Selected Cash Account with the Brex API

Lists all transactions for the specified cash account. See the docs here.

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Overview of Brex#

The Brex API offers a powerful avenue for automating financial operations, providing programmatic access to a company's Brex account. Through the API, you can manage cards, view transactions, and handle rewards programmatically. When combined with Pipedream, the API's capabilities expand, allowing users to integrate Brex data with other apps, trigger workflows based on financial events, and streamline financial reporting and reconciliation processes.

Connect Brex#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    brex: {
      type: "app",
      app: "brex",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://platform.brexapis.com/v2/cards`,
      headers: {
        Authorization: `Bearer ${this.brex.$auth.oauth_access_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}}