Integrate the Bitquery API with the Python API

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

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Popular Bitquery 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 Bitquery#

The Bitquery API offers deep insights into blockchain data across multiple chains. With it, you can extract transaction details, smart contract interactions, and wallet addresses' behavior. When paired with Pipedream, you can automate blockchain-related tasks, create triggers based on on-chain events, or integrate blockchain data into other applications or services. Analyzing trends, monitoring wallets, and real-time alerting for transactions become seamless with Bitquery on Pipedream.

Connect Bitquery#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bitquery: {
      type: "app",
      app: "bitquery",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{
      EVM(network: eth) {
        Blocks(limit: { count: 10 }) {
          Block {
            Number
            Time
          }
        }
      }
    }`,
    }
    return await axios($, {
      method: "post",
      url: `https://streaming.bitquery.io/graphql`,
      headers: {
        Authorization: `Bearer ${this.bitquery.$auth.oauth_access_token}`,
      },
      data,
    })
  },
})

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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