How to scrape L
endingTree
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

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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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