# Boat Trader Scraper - Boats For Sale Listings (`lulzasaur/boattrader-scraper`) Actor Scrape Boat Trader boats-for-sale listings by keyword, make, or type. Extract year, make, model, price, length, condition, boat type, location, dealer, images, and listing URL. Great for dealers, resellers, valuation, and marine market research. - **URL**: https://apify.com/lulzasaur/boattrader-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results 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 ## Boat Trader Scraper Scrape boat listings from [Boat Trader](https://www.boattrader.com) at scale. Extract boats-for-sale data by keyword, make, or boat type — perfect for boat dealers, resellers, valuation tools, and marine market research. ### What data can you get? #### Search mode (fast, default) - Title (year + make + model) - Year, make, model - Price (USD) and a `priceHidden` flag for "call for price" listings - Length (feet) - Condition (new / used) - Boat type and class (e.g. `power`, `power-bowrider`) - Location (city, state, ZIP, country) - Dealer / seller (name, phone, city, state) - Sponsored / featured flag - Primary image + all image URLs - Listing URL #### Detail mode (`scrapeDetails: true`) All of the above, plus per-boat detail-page fields when available: - Full description - Hull material - Engine make and hours - Beam (feet) - Fuel type > Detail mode visits each boat page individually — slower and more compute, but richer data. ### Input | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array | Plain keywords (`pontoon`, `sea ray fishing`), Boat Trader facet slugs (`make-sea-ray`, `type-power`, `condition-used`), or full Boat Trader search URLs. Each query produces its own result set. | | `maxResults` | integer | Max listings per query. `0` = unlimited (paginates to the end). Default `100`. | | `scrapeDetails` | boolean | Visit each boat page for richer fields. Default `false`. | | `proxyConfiguration` | object | **Required.** Use Apify **residential** proxies (US). Boat Trader uses a Cloudflare challenge that blocks datacenter IPs. | #### Example input ```json { "searchQueries": ["pontoon", "make-boston-whaler", "type-sail"], "maxResults": 200, "scrapeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` ### Example output ```json { "id": 10131959, "title": "2016 Sea Ray 290 Sundeck Outboard", "year": 2016, "make": "Sea Ray", "model": "290 Sundeck Outboard", "condition": "used", "type": "power", "class": "power-bowrider", "price": 52500, "currency": "USD", "priceHidden": false, "lengthFt": 29, "location": { "city": "Long Beach", "state": "CA", "zip": "90802", "country": "US" }, "dealer": { "name": "Seattle Yachts - Los Angeles", "phone": "310-776-3346", "city": "Marina Del Rey", "state": "CA" }, "sponsored": true, "image": "https://images.boattrader.com/resize/1/81/48/5798148_20160504082344082_1_XLARGE.jpg", "images": ["https://images.boattrader.com/..."], "url": "https://www.boattrader.com/boat/2016-sea-ray-290-sundeck-outboard-10131959/", "searchQuery": "make-sea-ray", "scrapedAt": "2026-06-24T21:45:00.000Z" } ``` ### How it works Boat Trader is a server-rendered React app behind Cloudflare. This Actor drives a real headless browser (Playwright) so it passes the Cloudflare managed challenge, then reads the listing data directly from the page's embedded `__REDUX_STATE__` JSON (no fragile HTML scraping). Results are paginated automatically (`/page-2/`, `/page-3/`, …) until `maxResults` is reached. ### Notes - **Residential proxies are required** — datacenter IPs get a Cloudflare 403. - Boat Trader returns ~31 listings per page. - This Actor is for legitimate market research and is not affiliated with Boat Trader. # Actor input Schema ## `searchQueries` (type: `array`): Searches to scrape. Use plain keywords (e.g. 'pontoon', 'sea ray fishing'), Boat Trader facet slugs ('make-sea-ray', 'type-power', 'condition-used'), or full Boat Trader search URLs (e.g. 'https://www.boattrader.com/boats/make-boston-whaler/'). Each query produces its own result set. ## `maxResults` (type: `integer`): Maximum number of boat listings to scrape per search query. Set to 0 for unlimited (paginates until the site runs out of results). ## `scrapeDetails` (type: `boolean`): If enabled, visits each boat's detail page for richer fields (description, hull material, engine make/hours, beam, fuel type). Slower but more data. If disabled, scrapes only the rich search-result data (title, year/make/model, price, length, condition, location, dealer, image, URL). ## `proxyConfiguration` (type: `object`): REQUIRED: Boat Trader uses a Cloudflare challenge that blocks datacenter IPs. Use Apify residential proxies (RESIDENTIAL group, US) for this scraper to work reliably. ## Actor input object example ```json { "searchQueries": [ "pontoon" ], "maxResults": 100, "scrapeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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 = { "searchQueries": [ "pontoon" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/boattrader-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 = { "searchQueries": ["pontoon"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/boattrader-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 '{ "searchQueries": [ "pontoon" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call lulzasaur/boattrader-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/boattrader-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Boat Trader Scraper - Boats For Sale Listings", "description": "Scrape Boat Trader boats-for-sale listings by keyword, make, or type. Extract year, make, model, price, length, condition, boat type, location, dealer, images, and listing URL. Great for dealers, resellers, valuation, and marine market research.", "version": "1.0", "x-build-id": "BWfOLoWw5EWbhIa36" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~boattrader-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-boattrader-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~boattrader-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-boattrader-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~boattrader-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-boattrader-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "Searches to scrape. Use plain keywords (e.g. 'pontoon', 'sea ray fishing'), Boat Trader facet slugs ('make-sea-ray', 'type-power', 'condition-used'), or full Boat Trader search URLs (e.g. 'https://www.boattrader.com/boats/make-boston-whaler/'). Each query produces its own result set.", "default": [ "pontoon" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results per Query", "minimum": 0, "type": "integer", "description": "Maximum number of boat listings to scrape per search query. Set to 0 for unlimited (paginates until the site runs out of results).", "default": 100 }, "scrapeDetails": { "title": "Scrape Full Details", "type": "boolean", "description": "If enabled, visits each boat's detail page for richer fields (description, hull material, engine make/hours, beam, fuel type). Slower but more data. If disabled, scrapes only the rich search-result data (title, year/make/model, price, length, condition, location, dealer, image, URL).", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "REQUIRED: Boat Trader uses a Cloudflare challenge that blocks datacenter IPs. Use Apify residential proxies (RESIDENTIAL group, US) for this scraper to work reliably.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```