# Kelley Blue Book Scraper (`jungle_synthesizer/kelley-blue-book-scraper`) Actor Extract vehicle valuations from Kelley Blue Book. Get fair market price, MSRP, trade-in values, safety crash test scores, consumer reviews, specs, and trim details for any car by year, make, and model. Built for dealers, researchers, and automotive market analysis. - **URL**: https://apify.com/jungle\_synthesizer/kelley-blue-book-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Kelley Blue Book Scraper Extract vehicle valuations from Kelley Blue Book. Get MSRP range, consumer ratings, expert review scores, and fuel economy specs for any car by year, make, and model. Built for dealers, researchers, and automotive market analysis. ### What this Actor does For each vehicle you specify, the actor fetches the corresponding Kelley Blue Book page and extracts structured data from the server-rendered HTML. Input can be supplied as KBB URLs or as year/make/model objects — the actor normalizes both formats automatically. **Data available from the SSR page:** - MSRP range (minimum and maximum) - Consumer rating (1–5 scale) and review count - KBB expert review rating - City fuel economy (MPG) - Vehicle make, model, year, and full name > **Note on dynamic valuations:** KBB's fair market price, trade-in values, and private party values are loaded via JavaScript after page render. These fields are populated when present in the page's data layer, but are typically `null` in the dataset because they are not embedded in the server-rendered HTML. ### Usage #### Input format Provide a `vehicles` array. Each entry can be: **As a URL:** ```json { "vehicles": [ "https://www.kbb.com/toyota/camry/2024/", "https://www.kbb.com/honda/accord/2024/" ] } ```` **As an object:** ```json { "vehicles": [ { "year": 2024, "make": "toyota", "model": "camry" }, { "year": 2023, "make": "ford", "model": "f-150" } ] } ``` **Mixed:** ```json { "vehicles": [ "https://www.kbb.com/toyota/camry/2024/", { "year": 2023, "make": "honda", "model": "civic" } ], "maxItems": 10 } ``` #### Input fields | Field | Type | Required | Description | |-------|------|----------|-------------| | `vehicles` | array | Yes | List of vehicles to look up. Each entry is a KBB URL string or `{year, make, model}` object. | | `maxItems` | integer | No | Maximum number of vehicle records to scrape. Useful for testing. | #### Output schema Each item in the dataset corresponds to one vehicle: | Field | Type | Description | |-------|------|-------------| | `url` | string | KBB vehicle page URL | | `year` | integer | Vehicle model year | | `make` | string | Vehicle make (manufacturer) | | `model` | string | Vehicle model name | | `trim` | string | Trim level (when available) | | `body_style` | string | Body style: Sedan, SUV, Truck, etc. | | `msrp_min` | integer | Minimum MSRP in USD | | `msrp_max` | integer | Maximum MSRP in USD | | `fair_market_price` | integer | KBB fair market price in USD (JS-rendered; typically null) | | `trade_in_value_good` | integer | Trade-in value, Good condition (JS-rendered; typically null) | | `trade_in_value_very_good` | integer | Trade-in value, Very Good condition (JS-rendered; typically null) | | `private_party_value` | integer | Private party sale value (JS-rendered; typically null) | | `dealer_retail_value` | integer | Dealer retail value (JS-rendered; typically null) | | `consumer_rating` | number | Consumer rating (1–5 scale) | | `consumer_review_count` | integer | Number of consumer reviews | | `expert_rating` | number | KBB expert rating | | `mpg_city` | number | EPA city fuel economy (MPG) | | `mpg_highway` | number | EPA highway fuel economy (MPG) | | `engine` | string | Engine description | | `transmission` | string | Transmission type | | `horsepower` | integer | Engine horsepower | | `available_trims` | string | Comma-separated list of available trims | | `scraped_at` | string | ISO timestamp when the record was scraped | #### Example output ```json { "url": "https://www.kbb.com/toyota/camry/2024/", "year": 2024, "make": "Toyota", "model": "Camry", "trim": null, "body_style": null, "msrp_min": 24400, "msrp_max": 36800, "fair_market_price": null, "trade_in_value_good": null, "trade_in_value_very_good": null, "private_party_value": null, "dealer_retail_value": null, "consumer_rating": 4.4, "consumer_review_count": 153, "expert_rating": 4.6, "mpg_city": 32, "mpg_highway": null, "engine": null, "transmission": null, "horsepower": null, "available_trims": null, "scraped_at": "2026-06-06T17:30:00.000Z" } ``` ### Technical details - **Crawler:** CheerioCrawler (fast HTML parsing, no browser overhead) - **Proxy:** US residential proxy required — KBB blocks datacenter IPs - **TLS fingerprint:** impit Chrome fingerprint (built into CoreCrawler) - **Concurrency:** 3 concurrent requests (conservative for residential proxy pool) - **Rate limiting:** Automatic backoff when rate-limited ### Limitations - Dynamic pricing fields (fair market price, trade-in, private party) are null in most results — KBB loads these via JavaScript after page render, making them unavailable to the HTML scraper. - KBB pages are available for US market vehicles only. - Trim-level detail pages require separate URL lookups. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `vehicles` (type: `array`): List of vehicles to look up. Each entry can be a KBB URL (e.g. https://www.kbb.com/toyota/camry/2024/) or an object with year, make, and model fields (e.g. {"year": 2024, "make": "toyota", "model": "camry"}). ## `maxItems` (type: `integer`): Maximum number of vehicle records to scrape. Useful for testing. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "vehicles": [ "https://www.kbb.com/toyota/camry/2024/" ], "maxItems": 5 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "vehicles": [ "https://www.kbb.com/toyota/camry/2024/" ], "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/kelley-blue-book-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "vehicles": ["https://www.kbb.com/toyota/camry/2024/"], "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/kelley-blue-book-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "vehicles": [ "https://www.kbb.com/toyota/camry/2024/" ], "maxItems": 5 }' | apify call jungle_synthesizer/kelley-blue-book-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/kelley-blue-book-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kelley Blue Book Scraper", "description": "Extract vehicle valuations from Kelley Blue Book. Get fair market price, MSRP, trade-in values, safety crash test scores, consumer reviews, specs, and trim details for any car by year, make, and model. Built for dealers, researchers, and automotive market analysis.", "version": "0.1", "x-build-id": "v8tgR8xyy1kCYOJNB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~kelley-blue-book-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-kelley-blue-book-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~kelley-blue-book-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-kelley-blue-book-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~kelley-blue-book-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-kelley-blue-book-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "vehicles" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "vehicles": { "title": "Vehicles", "type": "array", "description": "List of vehicles to look up. Each entry can be a KBB URL (e.g. https://www.kbb.com/toyota/camry/2024/) or an object with year, make, and model fields (e.g. {\"year\": 2024, \"make\": \"toyota\", \"model\": \"camry\"})." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of vehicle records to scrape. Useful for testing." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```