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Kelley Blue Book Scraper API

Resolve Kelley Blue Book valuations into JSON — fair purchase price, trade-in value, private-party range, and fair market low-to-high band for any year, make, model, trim, and mileage.

Vehicle listingsPricing & historyDealer dataSpecs & VIN
▸ Overview

Kelley Blue Book is the long-standing US authority on vehicle valuation, publishing fair purchase prices, trade-in values, and private-party estimates rather than live for-sale listings. The Kelley Blue Book Scraper API returns these valuation tiers and the fair market range as structured numeric fields keyed to vehicle configuration.

It powers trade-in tools, lending workflows, and pricing engines that need a recognized valuation baseline instead of asking prices. Values are computed against the supplied year, trim, mileage, and region so estimates stay condition- and location-aware.

Kelley Blue Book Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.kelleybluebook.com/",
  "type": "listing",
  "geo": "us"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "make": "Toyota",
    "model": "RAV4",
    "year": 2023,
    "price": 31450,
    "mileage": 18200,
    "vin": "…",
    "dealer": "..."
  }
}
"type": "listing", "geo": "us"
▸ What you can extract

Every public field, structured for you.

Kelley Blue Book data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Vehicle listing

  • Make, model, trim, year
  • Mileage, body style, color
  • VIN, stock number, condition
  • Photos and listing description

Pricing & history

  • List price and price drops
  • Market value and deal rating
  • Days on market
  • Estimated payments

Specs & features

  • Engine, drivetrain, transmission
  • Fuel economy and emissions
  • Options and packages
  • Accident / title history signals

Dealer / seller

  • Dealer or private-seller name
  • Rating and contact details
  • Location and distance

Search results

  • Ranked vehicles per make/model + area
  • Price, mileage, year, trim filters
  • Sort and pagination
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Trade-in and private-party valuation lookups

[ 02 ]

Lending and loan-to-value baselines

[ 03 ]

Fair market range benchmarking

[ 04 ]

Residual and depreciation modeling

▸ FAQ

Kelley Blue Book scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

KELLEY BLUE BOOK DATA · ON TAP

Start pulling Kelley Blue Book data this week.

Tell us the Kelley Blue Book surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies