Integrate the Smartproxy API with the Python API

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

Smartproxy is a tool that grants you access to a vast pool of residential IPs, allowing you to scrape data, automate tasks, and bypass geolocation restrictions without getting blocked. It's valuable for tasks that require mimicking real user behavior and accessing web data with minimal footprint. On Pipedream, you can leverage the Smartproxy API to create workflows that automate these tasks, integrate with other services, and handle the data as needed, all in a serverless environment.

Connect Smartproxy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    smartproxy: {
      type: "app",
      app: "smartproxy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.smartproxy.$auth.api_type}.smartproxy.com/v2/sub-users`,
      params: {
        "api-key": `${this.smartproxy.$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#

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