Integrate the IP2Proxy API with the Python API

IP2Proxy

The IP2Proxy™ Proxy Detection Web Service is a hosted Web Service that allows instant detection of anonymous proxy, VPN, TOR exit nodes, search engine robots (SES) and residential proxies (RES) by IP address. It is a REST API supporting both JSON and XML responses and provides IP location lookup information when a proxy is detected.

Setup the IP2Proxy API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate IP2Proxy and Python remarkably fast. Free for developers.

Popular IP2Proxy and Python Actions#

Query IP address with the IP2Proxy API

Query IP address using IP2Proxy API. See the docs here for how to use this API.

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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 IP2Proxy#

The IP2Proxy API can be used to build applications that can perform the
following tasks:

Determine the country, region, city, ISP, domain name, and proxy type of an
IP address
Detect if an IP address is a Tor exit node
Detect if an IP address is a public proxy
Detect if an IP address is a datacenter IP
Detect if an IP address is blacklisted

Connect IP2Proxy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ip2proxy: {
      type: "app",
      app: "ip2proxy",
    },
    ip: {
      type: "string",
      default: "201.42.237.89"
    },
    package: {
      type: "string",
      default: "PX11"
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ip2proxy.com`,
      params: {
        key: `${this.ip2proxy.$auth.api_key}`,
        ip: `${this.ip}`,
      },
    })
  },
})

Overview of Python#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}