# WatchMaxx Discount Watch Scraper (`lulzasaur/watchmaxx-scraper`) Actor Scrape discounted luxury watches from WatchMaxx (watchmaxx.com). Per-product data: title, brand, series/model, reference number, sale price, retail/MSRP, discount %, category, condition, availability, image and product URL. Search by brand or keyword like 'rolex', 'tissot' or 'omega speedmaster'. - **URL**: https://apify.com/lulzasaur/watchmaxx-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 $10.00 / 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/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 ## WatchMaxx Discount Watch Scraper Scrape discounted luxury and fashion watches from [WatchMaxx](https://www.watchmaxx.com), an online authorized watch discounter. Search by brand or keyword and get clean, structured product data including the discounted sale price, the retail/MSRP it's marked down from, and the resulting discount. ### What it does For each search query (e.g. `rolex`, `tissot`, `omega speedmaster`), the actor queries WatchMaxx's product gallery and returns every matching watch with: - **title** — full product name - **brand** — e.g. Rolex, Omega, Tissot, Breitling - **model** — series / collection name (e.g. Submariner, Speedmaster) - **referenceNumber** — manufacturer reference / SKU code - **gender** — Men's / Women's / Unisex - **caseMaterial** — e.g. Stainless Steel, Yellow Gold - **category** — product type (Watch, etc.) - **price** — WatchMaxx discounted selling price (USD) - **msrp** — retail / MSRP the watch is discounted from (USD) - **discountPercent** — percentage off retail - **condition** — new / preowned - **availability** / **inStock** — stock status - **image** / **extraImages** — product imagery - **url** — direct link to the product page ### Input ```json { "searchQueries": ["rolex", "tissot"], "maxResults": 100 } ```` | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array of strings | Brand or keyword searches. Try `"rolex"`, `"tissot"`, `"omega speedmaster"`, `"breitling navitimer"`. | | `maxResults` | integer | Max products across all queries combined (default 100). | | `proxyConfiguration` | object | Optional. The WatchMaxx API is open and works best with direct access; only use a proxy for very large runs. | ### Output Each dataset item is one watch product. Example: ```json { "title": "Rolex GMT Master ll Pepsi Bezel Oyster Bracelet Men's Watch 126710BLRO-0002", "brand": "Rolex", "model": "GMT Master II", "referenceNumber": "126710BLRO-0002", "gender": "Men's", "caseMaterial": "Stainless Steel", "category": "Watch", "price": 11800, "msrp": 29995, "discountPercent": 61, "currency": "USD", "condition": "new", "availability": "In Stock", "inStock": true, "image": "https://res.cloudinary.com/dp9dnliwc/image/upload/wmmedia/watch_images/large/...jpg", "url": "https://www.watchmaxx.com/rolex-watch-126710blro-0002", "source": "watchmaxx.com" } ``` ### Use cases - Monitor watch discounts and price drops vs. MSRP - Build watch price comparison / arbitrage datasets - Track brand catalog availability and reference numbers - Feed pricing intelligence tools and resale research ### Notes This actor uses WatchMaxx's public JSON product API and returns partial results gracefully if interrupted. It never bills you for empty runs — if no products match, a diagnostic is written to the key-value store instead of the dataset. # Actor input Schema ## `searchQueries` (type: `array`): One or more brand or keyword searches, e.g. 'rolex', 'tissot', 'omega speedmaster', 'breitling navitimer'. Each query is matched against WatchMaxx's catalog and every matching product is returned with its discounted price and retail/MSRP. ## `maxResults` (type: `integer`): Maximum number of watch products to return across all queries combined. Default 100. ## `proxyConfiguration` (type: `object`): Proxy settings. WatchMaxx's JSON API is open and works best with direct access; a proxy is only recommended for very large runs to distribute volume. ## Actor input object example ```json { "searchQueries": [ "rolex", "tissot" ], "maxResults": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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": [ "rolex", "tissot" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/watchmaxx-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": [ "rolex", "tissot", ], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/watchmaxx-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": [ "rolex", "tissot" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call lulzasaur/watchmaxx-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/watchmaxx-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "WatchMaxx Discount Watch Scraper", "description": "Scrape discounted luxury watches from WatchMaxx (watchmaxx.com). Per-product data: title, brand, series/model, reference number, sale price, retail/MSRP, discount %, category, condition, availability, image and product URL. Search by brand or keyword like 'rolex', 'tissot' or 'omega speedmaster'.", "version": "1.0", "x-build-id": "d5XdpJhkMCIaFOROw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~watchmaxx-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-watchmaxx-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~watchmaxx-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-watchmaxx-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~watchmaxx-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-watchmaxx-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "One or more brand or keyword searches, e.g. 'rolex', 'tissot', 'omega speedmaster', 'breitling navitimer'. Each query is matched against WatchMaxx's catalog and every matching product is returned with its discounted price and retail/MSRP.", "default": [ "rolex" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "type": "integer", "description": "Maximum number of watch products to return across all queries combined. Default 100.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. WatchMaxx's JSON API is open and works best with direct access; a proxy is only recommended for very large runs to distribute volume.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```