Integrate the Cryptowatch API with the Python API

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

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Popular Cryptowatch 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 Cryptowatch#

The Cryptowatch API offers real-time cryptocurrency market data across multiple exchanges, providing an extensive dataset for traders and developers. With Pipedream, you can harness this data to create automated workflows that react to market changes, analyze trends, or synchronize data across platforms. Whether you're automating trade strategies, alerting on price movements, or consolidating market analysis, Pipedream's serverless platform facilitates rapid development and execution of these tasks without managing infrastructure.

Connect Cryptowatch#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cryptowatch: {
      type: "app",
      app: "cryptowatch",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cryptowat.ch/markets/kraken/btceur/price`,
      headers: {
        "X-CW-API-Key": `${this.cryptowatch.$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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