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.

Popular Ways to Connect OpenSea with Python#

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

OpenSea + Python

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Popular OpenSea and Python Triggers#

New Collection Events from the OpenSea API

Emit new filtered events. See docs

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Popular OpenSea 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 OpenSea#

What Is OpenSea API? OpenSea API is a platform that provides access to
Web3-enabled cryptocurrency applications, allowing developers to build secure,
trustless applications. OpenSea API provides a suite of tools, including a
secure and distributed marketplace, digital asset management, and decentralized
trading. Through OpenSea API, developers can build secure, trustless
applications to tokenize, trade, and manage digital assets as well as create a
marketplace for digital goods and services.

OpenSea API can be used to create a variety of applications, including:

Digital Asset Marketplaces: Create tokenized products, which can be traded or
exchanged on an open marketplace.
Token Management Interfaces: Compile or manage digital assets, such as
collectibles, using an intuitive user interface.
Decentralized Exchanges: Create automated trading systems with secure,
distributed marketplaces.
Collectible Games: Create digital collectibles that can be bought or sold on
the OpenSea API platform.
Security Tokens: Issue tokens backed by real-world assets, such as stocks,
real estate, or commodities.
Digital Identity Management Products: Create digital identities using the
OpenSea API platform.

With the OpenSea API, developers can create an array of custom solutions to
trade, manage, and monetize digital assets. Developers can build applications
that enable users to buy, sell, and manage digital assets in a secure,
trustless environment. Applications built on OpenSea API can facilitate both
peer-to-peer trading and investment management services. OpenSea API can also
be used to create digital collectibles, gaming solutions, and digital asset
marketplaces for buying and selling digital assets.

Connect OpenSea#

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#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}