ASIN Data API

The World's Lowest Cost Amazon Product Data API.

Integrate the ASIN Data API API with the Python API

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

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 ASIN Data API

The ASIN Data API lets you tap into detailed product data from Amazon, including price, rank, reviews, and more. It's a treasure trove for e-commerce pros, marketers, or data analysts looking to enrich their datasets with real-time insights from the world’s largest online retailer. On Pipedream, you can automate workflows using this API to track product changes, analyze market trends, or even alert you when specific conditions are met.

Connect ASIN Data API

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    asin_data_api: {
      type: "app",
      app: "asin_data_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.asindataapi.com/request`,
      params: {
        api_key: `${this.asin_data_api.$auth.api_key}`,
        amazon_domain: `amazon.com`,
        asin: `B073JYC4XM`,
        type: `product`,
      },
    })
  },
})

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

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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}}