# Used Boat Listing Valuation Engine (`kayhermes/158-used-boat-listing-valuation-engine`) Actor Estimate used boat value from sold records with optional discounted active listings and explicit year, hours, power, length, condition, water-use, and trailer adjustments. - **URL**: https://apify.com/kayhermes/158-used-boat-listing-valuation-engine.md - **Developed by:** [Khoa Nguyen](https://apify.com/kayhermes) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Used Boat Listing Valuation Engine Produces value ranges for used boats using sold records and optional discounted active listings. ### Inputs Provide target boats and market comps with year, hours, horsepower, length, engine type, condition, water use, and trailer details. ### Outputs One valuation record per target plus evidence and report files. ### Responsible-use notes Always obtain title/lien checks, a marine survey, engine diagnostics, and a physical inspection. This Actor does none of those checks. ### Local validation ```bash npm ci npm test npm run check npm run sample ```` `npm run sample` runs the real Apify SDK entry point with local storage and writes Dataset, `OUTPUT`, and `REPORT.html`. # Actor input Schema ## `targets` (type: `array`): Boats to value ## `comps` (type: `array`): Sold or active comparables ## `sourceUrls` (type: `array`): Public or authorized URLs returning records. No login bypass is attempted. ## `targetCurrency` (type: `string`): Target currency ## `fxRates` (type: `object`): Example: {"EUR\_USD": 1.08}. Required for non-target currencies. ## `halfLifeDays` (type: `integer`): Comparable recency half-life ## `minimumSimilarity` (type: `number`): Minimum comp similarity ## `referenceYear` (type: `integer`): Reference year ## `allowActiveListings` (type: `boolean`): Allow active listing comps ## `listToSaleRatio` (type: `number`): Active list-to-sale ratio ## `includeComparableEvidence` (type: `boolean`): Include comp evidence ## Actor input object example ```json { "targets": [ { "id": "sea-ray-spx", "make": "Sea Ray", "model": "SPX 190", "boatType": "bowrider", "year": 2021, "lengthFt": 19, "engineType": "sterndrive", "engineHours": 180, "horsepower": 200, "condition": "good", "waterUse": "freshwater", "trailerIncluded": true, "trailerValue": 2500 } ], "comps": [ { "id": "bc1", "make": "Sea Ray", "model": "SPX 190", "boatType": "bowrider", "year": 2021, "lengthFt": 19, "engineType": "sterndrive", "engineHours": 200, "horsepower": 200, "condition": "good", "waterUse": "freshwater", "trailerIncluded": true, "soldPrice": 32000, "currency": "USD", "soldAt": "2026-06-20", "saleVerified": true }, { "id": "bc2", "make": "Sea Ray", "model": "SPX 190", "boatType": "bowrider", "year": 2020, "lengthFt": 19, "engineType": "sterndrive", "engineHours": 300, "horsepower": 200, "condition": "good", "waterUse": "freshwater", "trailerIncluded": false, "soldPrice": 28500, "currency": "USD", "soldAt": "2026-05-15", "saleVerified": true }, { "id": "bc3", "make": "Sea Ray", "model": "SPX 190", "boatType": "bowrider", "year": 2022, "lengthFt": 19, "engineType": "sterndrive", "engineHours": 100, "horsepower": 200, "condition": "excellent", "waterUse": "freshwater", "trailerIncluded": true, "soldPrice": 36000, "currency": "USD", "soldAt": "2026-04-10", "saleVerified": true } ], "sourceUrls": [], "targetCurrency": "USD", "fxRates": {}, "halfLifeDays": 180, "minimumSimilarity": 0.5, "referenceYear": 2026, "allowActiveListings": false, "listToSaleRatio": 0.9, "includeComparableEvidence": true } ``` # Actor output Schema ## `results` (type: `string`): No description ## `output` (type: `string`): No description ## `report` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("kayhermes/158-used-boat-listing-valuation-engine").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 = {} # Run the Actor and wait for it to finish run = client.actor("kayhermes/158-used-boat-listing-valuation-engine").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 '{}' | apify call kayhermes/158-used-boat-listing-valuation-engine --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kayhermes/158-used-boat-listing-valuation-engine", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Used Boat Listing Valuation Engine", "description": "Estimate used boat value from sold records with optional discounted active listings and explicit year, hours, power, length, condition, water-use, and trailer adjustments.", "version": "1.0", "x-build-id": "8YjjiTMsaLw4sIy8Y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kayhermes~158-used-boat-listing-valuation-engine/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kayhermes-158-used-boat-listing-valuation-engine", "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/kayhermes~158-used-boat-listing-valuation-engine/runs": { "post": { "operationId": "runs-sync-kayhermes-158-used-boat-listing-valuation-engine", "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/kayhermes~158-used-boat-listing-valuation-engine/run-sync": { "post": { "operationId": "run-sync-kayhermes-158-used-boat-listing-valuation-engine", "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": [ "targets", "comps" ], "properties": { "targets": { "title": "Boats to value", "type": "array", "description": "Boats to value", "default": [ { "id": "sea-ray-spx", "make": "Sea Ray", "model": "SPX 190", "boatType": "bowrider", "year": 2021, "lengthFt": 19, "engineType": "sterndrive", "engineHours": 180, "horsepower": 200, "condition": "good", "waterUse": "freshwater", "trailerIncluded": true, "trailerValue": 2500 } ] }, "comps": { "title": "Sold or active comparables", "type": "array", "description": "Sold or active comparables", "default": [ { "id": "bc1", "make": "Sea Ray", "model": "SPX 190", "boatType": "bowrider", "year": 2021, "lengthFt": 19, "engineType": "sterndrive", "engineHours": 200, "horsepower": 200, "condition": "good", "waterUse": "freshwater", "trailerIncluded": true, "soldPrice": 32000, "currency": "USD", "soldAt": "2026-06-20", "saleVerified": true }, { "id": "bc2", "make": "Sea Ray", "model": "SPX 190", "boatType": "bowrider", "year": 2020, "lengthFt": 19, "engineType": "sterndrive", "engineHours": 300, "horsepower": 200, "condition": "good", "waterUse": "freshwater", "trailerIncluded": false, "soldPrice": 28500, "currency": "USD", "soldAt": "2026-05-15", "saleVerified": true }, { "id": "bc3", "make": "Sea Ray", "model": "SPX 190", "boatType": "bowrider", "year": 2022, "lengthFt": 19, "engineType": "sterndrive", "engineHours": 100, "horsepower": 200, "condition": "excellent", "waterUse": "freshwater", "trailerIncluded": true, "soldPrice": 36000, "currency": "USD", "soldAt": "2026-04-10", "saleVerified": true } ] }, "sourceUrls": { "title": "Optional JSON/CSV source URLs", "type": "array", "description": "Public or authorized URLs returning records. No login bypass is attempted.", "default": [], "items": { "type": "string" } }, "targetCurrency": { "title": "Target currency", "type": "string", "description": "Target currency", "default": "USD" }, "fxRates": { "title": "Manual FX rates", "type": "object", "description": "Example: {\"EUR_USD\": 1.08}. Required for non-target currencies.", "default": {} }, "halfLifeDays": { "title": "Comparable recency half-life", "minimum": 30, "maximum": 1460, "type": "integer", "description": "Comparable recency half-life", "default": 180 }, "minimumSimilarity": { "title": "Minimum comp similarity", "minimum": 0.3, "maximum": 0.95, "type": "number", "description": "Minimum comp similarity", "default": 0.5 }, "referenceYear": { "title": "Reference year", "minimum": 2000, "maximum": 2035, "type": "integer", "description": "Reference year", "default": 2026 }, "allowActiveListings": { "title": "Allow active listing comps", "type": "boolean", "description": "Allow active listing comps", "default": false }, "listToSaleRatio": { "title": "Active list-to-sale ratio", "minimum": 0.55, "maximum": 1, "type": "number", "description": "Active list-to-sale ratio", "default": 0.9 }, "includeComparableEvidence": { "title": "Include comp evidence", "type": "boolean", "description": "Include comp evidence", "default": true } } }, "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 } } } } } } } } } } ```