# Bob's Watches Scraper - Used Rolex & Luxury Watch Prices (`lulzasaur/bobswatches-scraper`) Actor Scrape pre-owned luxury watch listings from BobsWatches.com. Get model, reference number, price, condition, year, box & papers, dial, metal, image, and URL. Includes Bob's market price index (retail vs buy price) per reference. Search by brand and model. - **URL**: https://apify.com/lulzasaur/bobswatches-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.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 ## Bob's Watches Scraper - Used Rolex & Luxury Watch Prices Scrape pre-owned luxury watch listings and market price data from [BobsWatches.com](https://www.bobswatches.com), one of the largest used Rolex and luxury watch marketplaces. Perfect for resellers, collectors, watch-flippers, price-tracking apps, and market-research teams. ### What it does Given one or more brand/model queries (e.g. `rolex submariner`, `omega speedmaster`, `tudor black bay`), the Actor collects: - **Full watch listings** — name, brand, model, reference number, SKU, asking price, condition, year, dial color, metal, bezel, movement, box & papers, image, and listing URL. - **Market price index** — for the searched model, Bob's published reference table of retail price vs. Bob's buy price, per reference number. Great for spotting arbitrage and tracking depreciation. ### Input | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array | Brand + model queries, e.g. `["rolex submariner", "omega speedmaster"]`. Also accepts a category path (`used-rolex/datejust`) or a full URL. Brand defaults to Rolex. | | `maxResults` | integer | Max listings to scrape across all queries. `0` = unlimited. Default `50`. | | `scrapeDetails` | boolean | Visit each listing page to add the full description. Slower. Default `false`. | | `includePriceIndex` | boolean | Also output the market price index rows. Default `true`. | | `proxyConfiguration` | object | Proxy settings. Residential recommended (Cloudflare). Defaults to Apify residential. | #### Example input ```json { "searchQueries": ["rolex submariner", "rolex datejust"], "maxResults": 100, "scrapeDetails": false, "includePriceIndex": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Listing record: ```json { "name": "Used Oystersteel & 18k Yellow Gold Rolex Submariner ref 116613LB Bluesy", "brand": "Rolex", "modelName": "Submariner", "referenceNumber": "116613LB", "sku": "190567 PL", "price": 16995, "priceCurrency": "USD", "condition": "Used", "availability": "InStock", "year": "2010 - Present", "boxAndPapers": "Box and Papers", "hasBox": true, "hasPapers": true, "metalType": "Steel and Gold", "dialColor": "Blue", "bezelType": "Timing", "movementType": "Automatic", "ratingValue": 4.94, "ratingCount": 18, "imageUrl": "https://www.bobswatches.com/images/zUsed-Rolex-Submariner-116613-SKU190567-PL.jpg", "listingUrl": "https://www.bobswatches.com/used-...-bluesy.html", "scrapedAt": "2026-06-24T19:00:00.000Z" } ``` Price-index record (`recordType: "priceIndex"`): ```json { "recordType": "priceIndex", "reference": "126613 Blue", "retailPriceText": "$119,450", "retailPrice": 119450, "buyPriceText": "$20,995", "buyPrice": 20995, "query": "rolex submariner", "scrapedAt": "2026-06-24T19:00:00.000Z" } ``` ### Notes - Data is extracted from the site's embedded JSON-LD structured data, so it is clean and stable. - Bob's Watches is behind Cloudflare bot protection; the Actor uses Apify residential proxies by default. - Pricing: pay per result in the default dataset, plus a small per-run start fee. ### Disclaimer This Actor collects publicly available data for personal and research use. Respect BobsWatches.com's terms of service and applicable laws. # Actor input Schema ## `searchQueries` (type: `array`): Brand + model queries to scrape, e.g. 'rolex submariner', 'omega speedmaster', 'tudor black bay'. You may also pass a category path ('used-rolex/datejust') or a full Bob's Watches URL. Brand defaults to Rolex when omitted. ## `maxResults` (type: `integer`): Maximum number of watch listings to scrape across all queries. Set to 0 for unlimited (all available). Price-index rows do not count toward this limit. Default is 50. ## `scrapeDetails` (type: `boolean`): If enabled, visit each listing's detail page to add the full description. Slower and uses more requests. Most fields are already captured from the listing pages. ## `includePriceIndex` (type: `boolean`): Also output Bob's Watches market price index rows (reference number, retail price, and Bob's buy price) for the searched model. Emitted as records with recordType 'priceIndex'. ## `proxyConfiguration` (type: `object`): Proxy settings. Bob's Watches uses Cloudflare bot protection, so residential proxies are recommended (the Actor defaults to Apify residential proxies when none is set). ## Actor input object example ```json { "searchQueries": [ "rolex submariner" ], "maxResults": 50, "scrapeDetails": false, "includePriceIndex": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `dataset` (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 submariner" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/bobswatches-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 submariner"] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/bobswatches-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 submariner" ] }' | apify call lulzasaur/bobswatches-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/bobswatches-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bob's Watches Scraper - Used Rolex & Luxury Watch Prices", "description": "Scrape pre-owned luxury watch listings from BobsWatches.com. Get model, reference number, price, condition, year, box & papers, dial, metal, image, and URL. Includes Bob's market price index (retail vs buy price) per reference. Search by brand and model.", "version": "1.0", "x-build-id": "l1vlD4tiDXqNYe5Mt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~bobswatches-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-bobswatches-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~bobswatches-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-bobswatches-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~bobswatches-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-bobswatches-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "Brand + model queries to scrape, e.g. 'rolex submariner', 'omega speedmaster', 'tudor black bay'. You may also pass a category path ('used-rolex/datejust') or a full Bob's Watches URL. Brand defaults to Rolex when omitted.", "default": [ "rolex submariner" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of watch listings to scrape across all queries. Set to 0 for unlimited (all available). Price-index rows do not count toward this limit. Default is 50.", "default": 50 }, "scrapeDetails": { "title": "Scrape Detail Pages", "type": "boolean", "description": "If enabled, visit each listing's detail page to add the full description. Slower and uses more requests. Most fields are already captured from the listing pages.", "default": false }, "includePriceIndex": { "title": "Include Market Price Index", "type": "boolean", "description": "Also output Bob's Watches market price index rows (reference number, retail price, and Bob's buy price) for the searched model. Emitted as records with recordType 'priceIndex'.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Bob's Watches uses Cloudflare bot protection, so residential proxies are recommended (the Actor defaults to Apify residential proxies when none is set).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```