How to scrape Goldman Sachs with AgentQL
Looking for a better way to scrape Goldman Sachs? 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 Goldman Sachs to any other website, regardless of UI changes.
Not just for scraping Goldman Sachs
Smart selectors work anywhere
https://goldmansachs.com
URL
Input any webpage.
{
header {
logo(The company logo at the top of the page)
navigation_links(Links to different sections of the website)[]
}
main_content {
title(Main title of the page)
introduction(Brief description of the company or page content)
}
footer {
copyright_notice(Copyright information)
contact_information(Contact details)
}
}
Query
Describe data in natural language.
{
"header": {
"logo": "Goldman Sachs Logo",
"navigation_links": [
"About Us",
"Our Services",
"Careers"
]
},
"main_content": {
"title": "Goldman Sachs",
"introduction": "Leading global investment banking firm"
},
"footer": {
"copyright_notice": "\u00a9 2024 Goldman Sachs",
"contact_information": "Contact details here"
}
}
Returns
Receive accurate output in seconds.
How to use AgentQL on Goldman Sachs



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
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