Integrate the Wildberries API with the Python API

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

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Popular Wildberries and Python Actions#

List Order Stickers with the Wildberries API

List order stickers. See 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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List Orders with the Wildberries API

Returns a list of orders. See docs here

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Update Order Status with the Wildberries API

Update a order status. See docs here

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Overview of Wildberries#

The Wildberries API offers a gateway to interact with one of Russia's largest online retailers. With this API, you can automate various aspects of the e-commerce process, including catalog management, order processing, and inventory tracking. Harnessing the Wildberries API within Pipedream's ecosystem allows you to create sophisticated, serverless workflows that respond in real-time to events like new orders, updated listings, or stock changes. These integrations can streamline operations, improve customer service, and enhance data analysis for better decision-making.

Connect Wildberries#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wildberries: {
      type: "app",
      app: "wildberries",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://suppliers-api.wildberries.ru/public/api/v1/info`,
      headers: {
        "accept": `application/json`,
        "Authorization": `${this.wildberries.$auth.api_key}`,
      },
      params: {
        quantity: `0`,
      },
    })
  },
})

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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