ChuckNorris.io

A free JSON API for hand curated Chuck Norris facts. Read more

Integrate the ChuckNorris.io API with the Python API

Setup the ChuckNorris.io API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ChuckNorris.io 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.

 
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Overview of ChuckNorris.io

The ChuckNorris.io API offers a humorous touch by providing a wealth of Chuck Norris jokes categorized by themes such as animal, dev, or food. It's a fun API to integrate when you want to lighten the mood or give your audience a chuckle. Using Pipedream's serverless platform, you can seamlessly invoke this API and incorporate jokes into notifications, social media posts, or even as a response within chat applications. Pipedream's capacity to connect multiple apps and create complex workflows makes it a great playground for automating the distribution of these jokes across various platforms.

Connect ChuckNorris.io

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chucknorris: {
      type: "app",
      app: "chucknorris",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.chucknorris.io/jokes/random`,
    })
  },
})

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

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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}}