How to query Bank of America with AgentQL
Looking for a better way to query Bank of America? 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 Bank of America to any other website, regardless of UI changes.
Not just for 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



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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