How to query Denver Post with AgentQL
Looking for a better way to query Denver Post? Say goodbye to fragile XPath or DOM selectors that easily break with website updates. AI-powered AgentQL ensures consistent data querying across various platforms, from Denver Post to any other website, regardless of UI changes.
Not just for Denver Post
Smart selectors work anywhere
https://denverpost.com
URL
Input any webpage.
{
headlines[]
date
section
author
}
Query
Describe data in natural language.
{
"headlines": [
"Local News",
"Politics",
"Sports"
],
"date": "2024-04-27",
"section": "News",
"author": "John Smith"
}
Returns
Receive accurate output in seconds.
How to use AgentQL on Denver Post



1
Install the SDK
Install code for JS and Python
npm install agentql
pip3 install agentql
3
Run your script
Install code for both JS and Python
agentql init
python example.py
More Websites to Query
More websites that start with D
- DaFont
- Daily Mail
- Dailymotion
- Dainik Shiksha
- DARPA
- Darwinex Zero
- Dashlane
- Data Commons
- Data Privacy Framework
- DataReportal
- DCAMA
- Debian
- DeepL
- Deezer
- Defense Commissary Agency
- Defense Contract Audit Agency
- Defense Finance and Accounting Service
- Defense Health Agency
- Defense Information Systems Agency
- Defense Logistics Agency
Get started
Holds no opinions on what’s and how’s. Build whatever makes sense to you.