How to scrape C
ongressional Research Service
with AgentQL

Looking for a better way to scrape Congressional Research 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 Congressional Research Service to any other website, regardless of UI changes.

Not just for scraping Congressional Research Service

Smart selectors work anywhere

https://loc.gov/crsinfo/about/

URL

Input any webpage.

{
  mission_statement(A brief description of CRS's mission.)
  contact_information {
    email
    phone_number
    mailing_address
  }
}

Query

Describe data in natural language.

{
  "mission_statement": "To provide timely, nonpartisan, and objective information and analysis to support the deliberations of the U.S. Congress.",
  "contact_information": {
    "email": "crsinfo@crs.loc.gov",
    "phone_number": "(202) 707-7000",
    "mailing_address": "Library of Congress, Washington, DC 20540"
  }
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Congressional Research Service

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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

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