Integrate the Zyte API API with the Python API

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

Popular Zyte API and Python Actions#

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 Zyte API#

The Zyte API provides programmatic access to web data extraction services, allowing you to pull structured data from websites efficiently. Within Pipedream, you can leverage the Zyte API to create powerful serverless workflows that automate data collection, monitor web content changes, or enrich your datasets with web-sourced information. By connecting Zyte to other apps on Pipedream, you can easily integrate web scraping into your data processing pipelines, event-driven applications, and more, with minimal setup and no server maintenance.

Connect Zyte API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zyte_api: {
      type: "app",
      app: "zyte_api",
    }
  },
  async run({steps, $}) {
    const data = { 
     "url": "https://books.toscrape.com/",
     "httpResponseBody": true
      }
    return await axios($, {
      method: "post",
      url: `https://api.zyte.com/v1/extract`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.zyte_api.$auth.api_key}`,
        password: ``,
      },
      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}}