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Google Safe Browsing

Safe Browsing is a Google service that lets client applications check URLs against Google's constantly updated lists of unsafe web resources.

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Python

Integrate the Google Safe Browsing API with the Python API

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

Popular Ways to Connect Google Safe Browsing with Python

Run Python Code with Python API on New Threat List Updated from Google Safe Browsing API
Google Safe Browsing + Python
 
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Popular Google Safe Browsing and Python Triggers

New Threat List Updated from the Google Safe Browsing API

Emit new event when a threat list is updated. See the documentation

 
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Popular Google Safe Browsing and Python Actions

Check URL Safety with the Google Safe Browsing API

Scan a given URL or URLs for potential security threats. See the documentation

 
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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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Get Threat List Updates with the Google Safe Browsing API

Get the latest threat list update information from Google Safe Browsing API. See the documentation

 
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Overview of Google Safe Browsing

The Google Safe Browsing API lets you check URLs against Google's constantly updated lists of unsafe web resources. These include social engineering sites (like phishing and deceptive sites) and sites that host malware or unwanted software. Within Pipedream, you can leverage this API to automate the process of scanning URLs in various contexts, such as user-generated content, emails, or within applications that require high-security measures.

Connect Google Safe Browsing

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_safebrowsing: {
      type: "app",
      app: "google_safebrowsing",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://safebrowsing.googleapis.com/v4/threatLists`,
      params: {
        key: `${this.google_safebrowsing.$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}}
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