Integrate the Blocknative API with the Python API

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

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Popular Blocknative 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 Blocknative#

The Blocknative API is a powerful tool for real-time Ethereum blockchain monitoring. It allows developers to track transactions with precision, getting notified of state changes, from mempool to confirmation. By leveraging this with Pipedream's capabilities, you can create automated workflows that respond to events like transaction status updates, address activity, and gas price changes. This can be particularly useful for applications that need to react instantly to on-chain activities, such as trading bots, wallet services, or notification systems.

Connect Blocknative#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    blocknative: {
      type: "app",
      app: "blocknative",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.blocknative.com/gasprices/blockprices`,
      headers: {
        "Authorization": `${this.blocknative.$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#

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}}

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