Integrate the JP Funda API with the Python API

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

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Popular JP Funda and Python Actions#

Get Data By EDINET Code with the JP Funda API

Returns the most recent and annual securities report data for the past few years. See the documentation

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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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Get Data By Security Code with the JP Funda API

Returns the latest and past years of securities report data. See the documentation

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Search Listings with the JP Funda API

Retrieve data by specifying the date the securities report was published See the documentation

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Overview of JP Funda#

The JP Funda API offers access to a wealth of financial data, including stock prices, company fundamentals, and market trends. On Pipedream, you can leverage this API to create powerful serverless workflows that automate financial analysis, track investment opportunities, and notify you of important market changes. By integrating JP Funda with other apps, you can enrich financial datasets, streamline reporting, and make data-driven decisions with ease.

Connect JP Funda#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    jp_funda: {
      type: "app",
      app: "jp_funda",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.jp-funda.com/api/jp/today/`,
      headers: {
        "Authorization": `Token ${this.jp_funda.$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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