Integrate the Twelve Data API with the Python API

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

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Popular Twelve Data 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 Twelve Data#

The Twelve Data API provides access to real-time and historical stock market data, making it a powerful tool for financial analysis and trading strategy development. With this API, users can retrieve stock prices, forex data, indicators, and more, delivering the necessary information to monitor market trends closely. On Pipedream, you can leverage this data to create custom, serverless workflows that react to market changes, automate trading analysis, or integrate financial data into other apps and services for informed decision-making.

Connect Twelve Data#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    twelve_data: {
      type: "app",
      app: "twelve_data",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.twelvedata.com/quote?symbol=AAPL&apikey=demo&source=docs`,
      headers: {
        "Authorization": `apikey ${this.twelve_data.$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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