How to scrape G
oldman 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

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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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