AbuselPDB

AbuseIPDB is a project helping make Web safer by providing a central blacklist for webmasters, system administrators, and other interested parties to report and find IP addresses that have been associated with malicious activity online.

Integrate the AbuselPDB API with the Python API

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

With the AbuselPDB API, you can build applications that can:

  • Query the AbuselPDB database for abusive IP addresses
  • Report abusive IP addresses
  • Block abusive IP addresses

Here are some examples of what you can build with the AbuselPDB API:

  • A web application that allows users to report abusive IP addresses
  • A firewall that blocks abusive IP addresses
  • A network monitoring tool that alerts you when an abusive IP address is detected

Connect AbuselPDB

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    abuselpdb: {
      type: "app",
      app: "abuselpdb",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.abuseipdb.com/api/v2/check`,
      headers: {
        "Key": `${this.abuselpdb.$auth.api_key}`,
      },
      params: {
        ipAddress: `{enter_ip_here}`,
        maxAgeInDays: `90`,
      },
    })
  },
})

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

1
2
3
4
5
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}}