WebScraping.AI

Simple and powerful web scraping API with automated proxies rotation and Chrome JS rendering

Integrate the WebScraping.AI API with the Python API

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

WebScraping.AI API provides powerful tools for extracting data from websites, enabling users to retrieve structured information without the hassle of setting up a custom scraper. It handles proxy rotation, browsers, and CAPTCHAs, allowing you to focus on data collection. With Pipedream, you can harness this capability to create automated workflows that trigger on various events, process web content, and connect with countless other apps to feed data pipelines, monitor changes, or populate databases.

Connect WebScraping.AI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    webscraping_ai: {
      type: "app",
      app: "webscraping_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.webscraping.ai/account`,
      params: {
        api_key: `${this.webscraping_ai.$auth.api_key}`,
      },
    })
  },
})

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}}