Integrate the Venly (NFT API) API with the Python API

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

Popular Venly (NFT API) and Python Actions#

Create and Mint NFT with the Venly (NFT API) API

Creates a template or token type that allows for minting of new NFTs. See the documentation

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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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Create Contract with the Venly (NFT API) API

Deploys a new NFT contract, or collection, on a specific blockchain. See the documentation

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Overview of Venly (NFT API)#

The Venly (NFT API) provides a platform for managing and integrating Non-Fungible Tokens (NFTs) into applications. With this API, you can create and manage wallets, mint and transfer NFTs, and query blockchain data, among other features. Leveraging the Venly API within Pipedream allows developers to streamline NFT operations by creating automated workflows, connecting to other services, and processing blockchain events in real-time.

Connect Venly (NFT API)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    venly: {
      type: "app",
      app: "venly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.venly.$auth.service_environment}/api/env`,
      headers: {
        Authorization: `Bearer ${this.venly.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}