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Kelley Blue Book Vehicle Listing Scraper — Scheduled Monitoring

Run Kelley Blue Book Vehicle Listing Scraper for repeatable scheduled monitoring. Export structured results for research, reporting, integrations, and

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Kelley Blue Book Scraper — KBB Used Cars for Sale
Kelley Blue Book Scraper — KBB Used Cars for Salemuhammadafzal/kelley-blue-book-scraper
Listing URL
Listing type
Vehicle title
Year
+11 fields
Text
Number
Boolean
List
Object

Input

KBB Cars-for-Sale URLs(required)
KBB URL(required):https://www.kbb.com/cars-for-sale/used
Maximum listings:8
Maximum pages per URL:8

Output fields

Listing URL
Listing type
Vehicle title
Year
Make
Model
Trim
Price
Mileage
Price rating
Seller
Distance miles
Badges
Source page
Scraped at

How it works

Sign up on Apify or log in

The Kelley Blue Book Scraper — KBB Used Cars for Sale Actor is ready to run with the inputs already set for "Kelley Blue Book Vehicle Listing Scraper — Scheduled Monitoring". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Kelley Blue Book Vehicle Listing Scraper — Scheduled Monitoring" task

The Kelley Blue Book Scraper — KBB Used Cars for Sale Actor will start running based on the input automatically. You can also change all the input fields, like KBB Cars-for-Sale URLs, maximum listings, and more, to match your specific use case.

Receive the "Kelley Blue Book Vehicle Listing Scraper — Scheduled Monitoring" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as listing url, listing type, vehicle title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Kelley Blue Book Vehicle Listing Scraper — Scheduled Monitoring" task via API.

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Integrate "Kelley Blue Book Vehicle Listing Scraper — Scheduled Monitoring" into your workflow

Connect "Kelley Blue Book Vehicle Listing Scraper — Scheduled Monitoring" with 100+ integrations, or run it via API or MCP.

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