Integrate the Alpha Vantage API with the Python API

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

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Popular Alpha Vantage 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 Alpha Vantage#

The Alpha Vantage API offers access to a wealth of financial data, including real-time and historical stock prices, forex rates, cryptocurrency data, and more. With Pipedream’s serverless platform, you can easily connect Alpha Vantage to a variety of other services and apps to create powerful financial data workflows. Automate the tracking of stock performance, set up alerts for forex rate changes, digest cryptocurrency trends, or integrate financial data into custom dashboards or databases without the need to manage complex infrastructure.

Connect Alpha Vantage#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    alpha_vantage: {
      type: "app",
      app: "alpha_vantage",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.alphavantage.co/query?`,
      params: {
        function: `GLOBAL_QUOTE`,
        symbol: `MSFT`,
        apikey: `${this.alpha_vantage.$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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