Integrate the Blockchain Exchange API with the Python API

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

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Popular Blockchain Exchange 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 Blockchain Exchange#

With the Blockchain Exchange API, you can interact with the Blockchain Exchange platform programmatically to automate trading strategies, monitor market data, and manage accounts. This robust API allows you to execute trades, retrieve real-time and historical market data, and access account information within Pipedream's serverless platform. Pipedream provides a no-code, low-code environment where you can connect the Blockchain Exchange API with hundreds of other apps to create custom, automated workflows.

Connect Blockchain Exchange#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    blockchain_exchange: {
      type: "app",
      app: "blockchain_exchange",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.blockchain.com/v3/exchange/accounts`,
      headers: {
        "Accept": `application/json`,
        "X-API-Token": `${this.blockchain_exchange.$auth.api_secret}`,
      },
    })
  },
})

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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