# Bezel Luxury Watch Marketplace Scraper (`lulzasaur/bezel-scraper`) Actor Scrape pre-owned luxury watch listings from Bezel (getbezel.com). Per-listing data: title, brand, model, reference number, price, condition, year, box/papers, specs, seller ID, image and listing URL. Search by query like 'rolex submariner' or browse the whole marketplace. - **URL**: https://apify.com/lulzasaur/bezel-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 71.4% 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 ## Bezel Luxury Watch Marketplace Scraper Scrape pre-owned **luxury watch listings** from [Bezel](https://getbezel.com) — a curated, authenticated marketplace for Rolex, Patek Philippe, Omega, Cartier, Audemars Piguet, Tudor and 60+ other brands. Get clean, structured, per-listing data for every live watch for sale. Perfect for **watch dealers, collectors, resellers, arbitrage traders, price-comparison sites, and market researchers** who need real-time pre-owned watch pricing and inventory. ### What it does - **Search** the Bezel catalog by free-text query (`rolex submariner`, `patek nautilus`, `omega speedmaster`, …) — one query or many. - **Browse the entire marketplace** by passing a single empty query `""`. - Returns **every live listing** for each matching model, with price, condition, year, box/papers, reference number, specs, seller ID, image, and a direct listing URL. ### Input | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array of strings | Free-text searches. Use `[""]` to browse the whole marketplace. Default `["rolex submariner"]`. | | `maxResults` | integer | Max listings across all queries combined. Default `100`. | | `scrapeDetails` | boolean | Fetch each listing's full detail record (extra call per listing). Usually unnecessary — the list payload is already rich. Default `false`. | | `proxyConfiguration` | object | Proxy settings. Residential recommended for large runs. | #### Example input ```json { "searchQueries": ["rolex submariner", "omega speedmaster"], "maxResults": 200, "scrapeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Each dataset item is one watch listing: ```json { "listingId": 284703, "title": "Prince Oysterdate Submariner Snowflake 40 Steel / Black / Strap", "brand": "Tudor", "model": "Prince Oysterdate Submariner Snowflake 40 Steel / Black / Strap", "series": "Princess Oysterdate", "referenceNumber": "9411/0", "priceUsd": 9575, "priceCents": 957500, "currency": "USD", "condition": "PREOWNED", "year": 1982, "boxPapers": false, "accessories": [], "offersAllowed": true, "pricingModel": "FIXED_PRICE", "status": "PUBLISHED", "caseSizeMm": 40, "caseMaterial": "Steel", "dialColor": "Black", "movementType": "Automatic", "gender": "Unisex", "sellerId": 2538, "image": "https://getbezel.mo.cloudinary.net/production/....jpeg", "url": "https://shop.getbezel.com/watches/tudor/prince-oysterdate-submariner-snowflake-40-steel-black-strap/ref-9411-0/listing/id-284703", "modelId": 29302, "listed": "2026-05-06T06:08:58.000+00:00", "updated": "2026-06-30T17:05:48.000+00:00", "searchQuery": "submariner", "source": "getbezel.com", "scrapedAt": "2026-07-03T00:00:00.000Z" } ``` #### Field notes - **`priceUsd`** — the listed asking price (USD). `priceCents` is the raw integer. - **`condition`** — Bezel's condition label (e.g. `PREOWNED`, `NEW`). - **`boxPapers`** — `true` if the listing includes original box and/or papers/warranty. Full items are in `accessories`. - **`sellerId`** — Bezel exposes only the numeric seller id publicly (no seller name). - **`url`** — direct link to the public listing page. ### How it works Bezel's shop (`shop.getbezel.com`) is a Next.js app backed by a public JSON API. This Actor calls `catalog/search` to resolve models, then `listingsForModel` for every live listing per model — no headless browser, no HTML parsing, fast and stable. ### Notes - Data belongs to Bezel and its sellers. Respect their terms; use responsibly. - Prices and inventory change frequently — re-run to refresh. # Actor input Schema ## `searchQueries` (type: `array`): One or more free-text searches, e.g. 'rolex submariner', 'patek nautilus', 'omega speedmaster'. Each query is matched against Bezel's catalog and every live listing for the matching models is returned. Leave a single empty string "" to browse the entire marketplace. ## `maxResults` (type: `integer`): Maximum number of watch listings to return across all queries combined. Default 100. ## `scrapeDetails` (type: `boolean`): Fetch each listing's full detail record (extra API call per listing). The list payload is already rich (price, condition, year, box/papers, images), so this is usually unnecessary — enable only if you want the most complete data. Slower. ## `proxyConfiguration` (type: `object`): Proxy settings. Bezel's JSON API is open, but residential proxy is recommended for large runs to avoid rate limits. ## Actor input object example ```json { "searchQueries": [ "rolex submariner", "omega speedmaster" ], "maxResults": 100, "scrapeDetails": false, "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 submariner", "omega speedmaster" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/bezel-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", "omega speedmaster", ], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/bezel-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", "omega speedmaster" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call lulzasaur/bezel-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/bezel-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bezel Luxury Watch Marketplace Scraper", "description": "Scrape pre-owned luxury watch listings from Bezel (getbezel.com). Per-listing data: title, brand, model, reference number, price, condition, year, box/papers, specs, seller ID, image and listing URL. Search by query like 'rolex submariner' or browse the whole marketplace.", "version": "1.0", "x-build-id": "eJIBqlkjfU4Xy9ks1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~bezel-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-bezel-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~bezel-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-bezel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~bezel-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-bezel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 free-text searches, e.g. 'rolex submariner', 'patek nautilus', 'omega speedmaster'. Each query is matched against Bezel's catalog and every live listing for the matching models is returned. Leave a single empty string \"\" to browse the entire marketplace.", "default": [ "rolex submariner" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "type": "integer", "description": "Maximum number of watch listings to return across all queries combined. Default 100.", "default": 100 }, "scrapeDetails": { "title": "Scrape Full Details", "type": "boolean", "description": "Fetch each listing's full detail record (extra API call per listing). The list payload is already rich (price, condition, year, box/papers, images), so this is usually unnecessary — enable only if you want the most complete data. Slower.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Bezel's JSON API is open, but residential proxy is recommended for large runs to avoid rate limits.", "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 } } } } } } } } } } ```