Klazify

The most accurate Content Classification API.

Integrate the Klazify API with the Python API

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

Categorize Website with the Klazify API

Submit a website URL for categorization by the API. 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 Company Domain Info with the Klazify API

Get information about a company's domain. See the documentation.

 
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Get Domain Expiration with the Klazify API

Get the expiration date of a domain. See the documentation.

 
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Get Domain Tech Stack with the Klazify API

Get the technology stack of a domain. See the documentation.

 
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Connect Klazify

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    klazify: {
      type: "app",
      app: "klazify",
    }
  },
  async run({steps, $}) {
    const data = {
      "url": `{your_url}`,
    }
    return await axios($, {
      method: "post",
      url: `https://www.klazify.com/api/categorize`,
      headers: {
        Authorization: `Bearer ${this.klazify.$auth.api_key}`,
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}