LendingTree Scraper — Mortgage Rates, Loan Offers & Lender Data

Extract current mortgage rates, personal loan offers, auto loan rates, HELOC rates, rate forecasts, and lender profiles from LendingTree.com for loan rate monitoring, refinancing analysis, and building structured loan comparison databases.

Main Use Cases

• Mortgage rate monitoring — track 30/15-year fixed rates, APR, and rate trends over time without visiting the site daily
• Refinancing analysis — compare interest-rate forecasts and refinance recommendations to time rate locks
• Personal loan comparison — pull APR ranges, loan terms, and lender details for personal loan market research
• Auto loan rate tracking — collect new/used car APR by credit-score tier for financing research
• HELOC rate research — gather home-equity line-of-credit APRs by loan amount and credit score
• Building structured loan databases — assemble lender, rate, and credit-score data for internal dashboards or market analysis

How It Works

The actor runs a Cheerio-based crawler over the LendingTree comparison pages you specify. For each page it parses the rate tables — loan products, APR, rate trends, lender comparisons, and credit-score tier breakdowns — and writes each row as a structured dataset item. It defaults to the main mortgage, personal, auto, HELOC, home-equity, and rate-forecast pages, and accepts any LendingTree URL you want to add through the startUrls input.

Get Current Mortgage & Loan Rates From LendingTree

LendingTree publishes current national and regional average rates across mortgage, personal, auto, and home-equity products. This actor turns those publicly visible comparison tables into clean, reusable JSON — one row per lender, rate type, and credit-score band — so you can store, query, and trend the data instead of copying it by hand.

Build Loan Comparison Databases Without Official API Access

LendingTree does not offer a public REST API for bulk rate data, and individual lender APIs are fragmented and inconsistent. This actor gives you a single, structured extraction path across the whole LendingTree rate surface — useful whether you are building a rate-comparison dashboard, a personal-finance app, or a research dataset that would otherwise require dozens of manual page visits.

Input

Field	Type	Required	Default	Notes
startUrls	array of { "url": string }	No	LendingTree mortgage, personal, auto, HELOC, home-equity, and rate-forecast pages	The LendingTree URLs to scrape. Provide any list of rate/comparison pages.
proxyConfiguration	object	No	{ "useApifyProxy": true }	Proxy settings for anti-bot protection. Uses Apify proxy by default.

Example Input

{
  "startUrls": [
    { "url": "https://www.lendingtree.com/home/mortgage/rates/" },
    { "url": "https://www.lendingtree.com/personal/" },
    { "url": "https://www.lendingtree.com/auto/" },
    { "url": "https://www.lendingtree.com/home/home-equity/heloc/" },
    { "url": "https://www.lendingtree.com/home/mortgage/rates/mortgage-interest-rates-forecast/" },
    { "url": "https://www.lendingtree.com/home/" }
  ],
  "proxyConfiguration": { "useApifyProxy": true }
}

Output

Each dataset item is one scraped rate row:

Field	Type	Description
category	string	Product group — Mortgage, Personal Loan, Auto Loan, HELOC, Home Equity, or Rate Forecast
subcategory	string	Table grouping within the page (e.g. Lender Rates, Credit Score APR, Lender Profile, Rate Trends)
lender	string	Lender name (or Average/All Lenders where the page aggregates)
rateType	string	The metric captured (e.g. Interest Rate, APR, Average APR, New Car APR, Monthly Payment, Best For)
value	string	The rate or text value for that metric
creditScoreRange	string	Credit-score band when the row is broken out by score (empty otherwise)
url	string	Source page the row was scraped from
scrapedAt	string	ISO timestamp of when the row was captured

Example Output

{
  "category": "Mortgage",
  "subcategory": "Loan Product Rates",
  "lender": "Rocket Mortgage",
  "rateType": "Interest Rate",
  "value": "6.25%",
  "creditScoreRange": "",
  "url": "https://www.lendingtree.com/home/mortgage/rates/",
  "scrapedAt": "2026-09-03T12:00:00.000Z"
}

{
  "category": "Auto Loan",
  "subcategory": "Credit Score APR",
  "lender": "Average",
  "rateType": "Used Car APR",
  "value": "7.1%",
  "creditScoreRange": "Excellent (740+)",
  "url": "https://www.lendingtree.com/auto/",
  "scrapedAt": "2026-09-03T12:00:00.000Z"
}

Integrations & Automation

• Apify API — call the actor programmatically from any language and read results as JSON, CSV, or Excel
• Webhooks — trigger downstream workflows after each run
• Zapier / Make — connect dataset output to spreadsheets, databases, or notification tools

Because rates move frequently, run this actor on a daily schedule for current mortgage/loan rate monitoring, or weekly for slower-moving trend and lender-profile data. Recurring runs also keep your stored rate data fresh for comparison and forecasting.

Related Actors

• Zillow Market Data Scraper — ZHVI · Rent · Mortgage Rates — housing-value and mortgage-rate data by metro/zip
• Zillow Mortgage Rates Scraper — daily Zillow mortgage rate data by loan type
• Mortgage Rate Scraper — Rates, APR & Lender Data — mortgage comparison data from Bankrate, NerdWallet, and Forbes
• Freddie Mac Mortgage Data Scraper — mortgage market statistics and loan data
• Realtor Property Details Scraper — property details including mortgage estimates

FAQ

Why use this actor instead of LendingTree's official API?

LendingTree does not provide a public REST API for bulk rate extraction, and there is no official dataset or export endpoint for its comparison tables. Individual lender rate APIs are inconsistent and often gated behind partnerships. This actor pulls the same publicly displayed comparison data into a single structured dataset.

What are the alternatives to LendingTree for loan-rate comparison data?

The main alternatives are other rate-aggregation sites such as Bankrate, NerdWallet, Zillow, and Freddie Mac's Primary Mortgage Market Survey (PMMS). Each covers a slightly different subset of lenders and products; several of these are available as separate Apify actors (see Related Actors). This actor is specific to LendingTree's mortgage, personal, auto, and home-equity rate pages.

Does this actor scrape data for multiple credit-score tiers?

Yes. For pages that break rates out by credit score, the actor returns these as separate rows with the score band in the creditScoreRange field (e.g. mortgage, auto, and HELOC credit-score APR tables).

Can I monitor mortgage rate trends over time?

Yes. Running the actor on a schedule captures each row with a scrapedAt timestamp, so you can build a time series of interest rates, APR, and rate forecasts and detect movement over days or weeks.

Does this actor return lender profiles?

Yes. Mortgage, personal-loan, and home-equity comparison tables include lender names and, where available, the "Best For" positioning and minimum credit-score requirements, captured in the lender, rateType, value, and creditScoreRange fields.

SEO Keywords

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For AI Agents & LLM Apps

Returns one dataset row per scraped LendingTree rate entry, with fields: category, subcategory, lender, rateType, value, creditScoreRange, url, scrapedAt.

Minimal working input (runs the default LendingTree pages):

{}

Variant — scrape a specific set of pages:

{
  "startUrls": [
    { "url": "https://www.lendingtree.com/personal/" },
    { "url": "https://www.lendingtree.com/home/mortgage/rates/" }
  ]
}

Behaviors an agent should know:

• With empty input, the actor uses its built-in default list of LendingTree mortgage, personal, auto, HELOC, home-equity, and rate-forecast URLs — no startUrls required for a valid run.
• startUrls is the only way to target specific pages; when provided it replaces (not appends to) the defaults.
• The crawler caps at 20 requests per crawl regardless of input, and non-paying (non-APIFY_USER_IS_PAYING) accounts are limited to 20 pushed items per run.
• Output value is the raw text from the table cell (e.g. 6.25%, Best For..., $500), not a parsed number — parse/format downstream as needed.

Billing: Pay-per-event — one Actor Start event (≈$0.005) plus one result event (≈$0.002) per dataset item pushed, within the 20-result cap for free accounts.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LendingTree or any of the lenders whose data appears on LendingTree.com. It accesses only publicly visible rate and comparison pages — it does not bypass login, see consumer-identifying or non-public data, or solve CAPTCHAs, and it does not accept or submit loan applications. Users are responsible for ensuring their use complies with LendingTree's Terms of Service and any applicable data-protection and consumer-finance laws. The output contains publicly displayed rate and lender information, not consumer personal data; do not use any extracted data for unauthorized or misleading purposes.