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.
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.
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Popular Ways to Connect Google Safe Browsing with Python#
Popular Google Safe Browsing and Python Triggers#
Emit new event when a threat list is updated. See the documentation
Popular Google Safe Browsing and Python Actions#
Scan a given URL or URLs for potential security threats. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Get the latest threat list update information from Google Safe Browsing API. See the documentation
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#
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#
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies