Integrate the Axesso Data Service - Amazon API with the Python API

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

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Popular Axesso Data Service - Amazon 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 Axesso Data Service - Amazon#

The Axesso Data Service - Amazon API lets you tap into a wealth of data from Amazon, including product searches, price trends, and reviews. In Pipedream, you can harness this data to drive insights, track products, and create custom notifications or reports. Pipedream’s serverless platform simplifies the process of setting up automated workflows that use the Axesso API to respond to events and perform actions in other apps.

Connect Axesso Data Service - Amazon#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    axesso_data_service: {
      type: "app",
      app: "axesso_data_service",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.axesso.de/amz/amazon-lookup-product`,
      headers: {
        "axesso-api-key": `${this.axesso_data_service.$auth.api_key}`,
      },
      params: {
        url: `https://www.amazon.com/dp/B09938DVH2`,
      },
    })
  },
})

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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