Integrate the BigBox API with the Python API

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

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Popular BigBox 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 BigBox#

The BigBox API serves up data on products, allowing for searches by various parameters like brand, category, or specifics like vegan or gluten-free options. With this tool, you can automate e-commerce tasks, sync inventory with your database, or enrich product listings with detailed information. Pipedream's platform is ideal for harnessing this API, offering serverless connectors that trigger workflows, run code, and interact with countless other APIs and services.

Connect BigBox#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigbox: {
      type: "app",
      app: "bigbox",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bigboxapi.com/request`,
      params: {
        api_key: `${this.bigbox.$auth.api_key}`,
        type: `product`,
        item_id: `317061059`,
      },
    })
  },
})

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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