How to scrape LendingTree with AgentQL
Looking for a better way to scrape LendingTree? 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 LendingTree to any other website, regardless of UI changes.
Not just for scraping LendingTree
Smart selectors work anywhere
https://lendingtree.com
URL
Input any webpage.
{
loan_options[] {
interest_rate
loan_amount
loan_type
}
}
Query
Describe data in natural language.
{
"loan_options": [
{
"interest_rate": "6.5%",
"loan_amount": "10000",
"loan_type": "Personal Loan"
},
{
"interest_rate": "4.2%",
"loan_amount": "250000",
"loan_type": "Mortgage"
}
]
}
Returns
Receive accurate output in seconds.
How to use AgentQL on LendingTree



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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