Integrate the Dext API with the Python API

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

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Popular Ways to Connect Dext with Python#

Run Python Code with Python API on New Client Added from Dext API

Dext + Python

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Popular Dext and Python Triggers#

New Client Added from the Dext API

Emit new event when a new client is added.

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Popular Dext and Python Actions#

Get Client with the Dext API

Retrieves a detailed set of information about a particular client. 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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Get Client Activity Stats with the Dext API

Retrieves the rolling annual and monthly-average Activity Stats for a particular client. See the documentation

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Overview of Dext#

The Dext API allows you to automate the management of expenses, receipts, and invoices within your Dext account. With Pipedream, you can harness this API to create workflows that streamline your finance operations, such as extracting data from receipts, categorizing expenses, and syncing financial documents across various platforms. By connecting Dext with other apps through Pipedream, you can craft efficient, serverless workflows that save time and reduce manual data entry.

Connect Dext#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dext: {
      type: "app",
      app: "dext",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.xavier-analytics.com/clients`,
      headers: {
        Authorization: `Bearer ${this.dext.$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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