SimpleHash

Multi-chain NFT API. Instant access to NFT data on 16 chains.

Integrate the SimpleHash API with the Python API

Setup the SimpleHash API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SimpleHash 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.

 
Try it

Overview of SimpleHash

SimpleHash API offers tools to easily verify and retrieve blockchain data, simplifying the complexities involved in interacting with various blockchain protocols. With SimpleHash on Pipedream, you can automate workflows to monitor transactions, validate wallet addresses, fetch non-fungible token (NFT) metadata, and more, all in real-time. Pipedream's serverless platform lets you connect SimpleHash with hundreds of other apps to trigger actions, process data, and create powerful automations without needing to manage infrastructure.

Connect SimpleHash

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    simplehash: {
      type: "app",
      app: "simplehash",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.simplehash.com/api/v0/nfts`,
      headers: {
        "X-API-KEY": `${this.simplehash.$auth.api_key}`,
      },
      params: {
        chains: `optimism,ethereum,solana`,
      },
    })
  },
})

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}}