JP Funda

Acquire securities report data of Japanese companies.

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.

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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Connect JP Funda

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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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}