Proxy Spider

Rotating Proxies. Random for every request & Sticky ports. Unlimited bandwidth.

Integrate the Proxy Spider API with the Python API

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

 
Try it

Overview of Proxy Spider

The Proxy Spider API lets you scrape and gather data from the web without the usual hassle of IP blocks or CAPTCHAs. By leveraging Pipedream's integration capabilities, you can automate the extraction of web data and manage proxy pools seamlessly. This means you can focus on what to do with the data you gather, rather than worrying about the technicalities of acquiring it. Within Pipedream's serverless platform, you could set up workflows that trigger based on a variety of events and use the Proxy Spider API to fetch data as needed.

Connect Proxy Spider

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    proxy_spider: {
      type: "app",
      app: "proxy_spider",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://proxy-spider.com/api/proxies.json`,
      params: {
        api_key: `${this.proxy_spider.$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}}