Integrate the Vend API with the Python API

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

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Popular Ways to Connect Vend with Python#

Run Python Code with Python API on New Inventory Update from Vend API

Vend + Python

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Popular Vend and Python Triggers#

New Inventory Update from the Vend API

Emit new event for each update on inventory. See docs here

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Popular Vend and Python Actions#

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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Overview of Vend#

The Vend API offers programmatic access to retail management features, enabling users to automate processes related to inventory, sales, products, customers, and more within their retail business. Through Pipedream, you can harness this API to create custom workflows that trigger on various events within Vend, process data, integrate with other apps, and automate actions to streamline retail operations, enhance customer engagement, and optimize sales strategies.

Connect Vend#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vend: {
      type: "app",
      app: "vend",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.vend.$auth.domain_prefix}.vendhq.com/api/2.0/security_events`,
      headers: {
        Authorization: `Bearer ${this.vend.$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}}

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