How to scrape B
ank of America
with AgentQL

Looking for a better way to scrape Bank of America? 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 Bank of America to any other website, regardless of UI changes.

Not just for scraping Bank of America

Smart selectors work anywhere

https://bankofamerica.com

URL

Input any webpage.

{
  personal_banking {
    checking_accounts[] {
      name
      interest_rate
    }
  }
  business_banking {
    business_checking_accounts[] {
      name
      interest_rate
    }
  }
}

Query

Describe data in natural language.

{
  "personal_banking": {
    "checking_accounts": [
      {
        "name": "Advantage Banking",
        "interest_rate": "0.01%"
      },
      {
        "name": "Premium Rewards",
        "interest_rate": "0.03%"
      }
    ]
  },
  "business_banking": {
    "business_checking_accounts": [
      {
        "name": "Business Advantage",
        "interest_rate": "0.02%"
      },
      {
        "name": "Business Platinum",
        "interest_rate": "0.04%"
      }
    ]
  }
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Bank of America

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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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