OpenSea

Discover, collect, and sell extraordinary NFTs. OpenSea is the world's first and largest NFT marketplace.

Integrate the OpenSea API with the Python API

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

Run Python Code with Python API on New Collection Events from OpenSea API
OpenSea + Python
 
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New Collection Events from the OpenSea API

Emit new filtered events. See docs

 
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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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Overview of OpenSea

The OpenSea API provides a plethora of endpoints that lets you tap into the rich world of NFTs. From fetching detailed asset information to looking up user-specific items, the possibilities for crafting custom Pipedream workflows are vast. This allows you to automate alerts, synchronize NFT collections with external databases, or even analyze market trends programmatically.

Connect OpenSea

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    opensea: {
      type: "app",
      app: "opensea",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.opensea.io/api/v1/assets`,
      headers: {
        "X-API-KEY": `${this.opensea.$auth.api_key}`,
      },
    })
  },
})

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}}