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.

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Klazify and Python Actions#

Categorize Website with the Klazify API

Submit a website URL for categorization by the API. See the documentation.

Try it

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

Get Company Domain Info with the Klazify API

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

Try it

Get Domain Expiration with the Klazify API

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

Try it

Get Domain Tech Stack with the Klazify API

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

Try it

Overview of Klazify#

The Klazify API offers a way to classify websites into categories, discover company logo URLs, and access social media links from a domain. When integrated into Pipedream, this functionality can expand, allowing you to automate workflows for marketing analysis, content filtering, or business intelligence. You can trigger actions based on website categories, enrich CRM data with company logos, or compile lists of social media profiles for outreach.

Connect Klazify#

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#

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}}

Start for free — no credit card required

Watch a demo