How to scrape F
ederal Protective Service
with AgentQL

Looking for a better way to scrape Federal Protective Service? Say goodbye to fragile XPath or DOM selectors that easily break with website updates. AI-powered AgentQL ensures consistent web scraping across various platforms, from Federal Protective Service to any other website, regardless of UI changes.

Not just for scraping Federal Protective Service

Smart selectors work anywhere

https://dhs.gov/federal-protective-service

URL

Input any webpage.

{
  mission_statement(A brief description of the agency's goals and responsibilities.)
  contact_information {
    phone_number
    email
    address
  }
}

Query

Describe data in natural language.

{
  "mission_statement": "To protect federal facilities and personnel.",
  "contact_information": {
    "phone_number": "(202) 325-3000",
    "email": "No public email",
    "address": "500 12th Street SW, Washington, DC 20530"
  }
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Federal Protective Service

A dotted lineA blue lineA blue line
1

Install the SDK

Install code for JS and Python

npm install agentql

pip3 install agentql

2

Test and refine

Use the query debugger

3

Run your script

Install code for both JS and Python

agentql init

python example.py

Get started

Holds no opinions on what’s and how’s. Build whatever makes sense to you.