Klipfolio

Klipfolio is the new way everyday people and their teams make informed decisions, backed by data. Klipfolio is a data analytics cloud app for building and sharing real-time business dashboards and reports on web browsers, TV monitors and mobile devices. Klipfolio helps you stay in-the-know and in control of your business by giving you visibility into the KPIs and metrics that matter most.

Integrate the Klipfolio API with the Python API

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

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.

 
Try it

Overview of Klipfolio

The Klipfolio API opens a window to managing and automating your Klipfolio dashboards and data sources directly from Pipedream. With this API, you can programmatically create, update, and delete dashboards, Klips (widgets), and data sources. This allows you to integrate Klipfolio with a multitude of other services, triggering updates to your dashboards as data changes in other apps, or even automate the import and transformation of data for your Klipfolio visualizations.

Connect Klipfolio

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    klipfolio: {
      type: "app",
      app: "klipfolio",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.klipfolio.com/api/1.0/profile`,
      headers: {
        "kf-api-key": `${this.klipfolio.$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}}