# LiveAuctioneers Auction Lot Scraper (`lulzasaur/liveauctioneers-scraper`) Actor Scrape LiveAuctioneers online auctions (art, antiques, jewelry, watches, coins, collectibles) by keyword. Per-lot data: title, low/high estimate, current & sold price, bid count, auction house, sale date, location, image, and URL. Optional detail mode adds category. - **URL**: https://apify.com/lulzasaur/liveauctioneers-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 ## LiveAuctioneers Auction Lot Scraper Scrape auction lots from [LiveAuctioneers](https://www.liveauctioneers.com) — one of the largest online marketplaces for live and timed auctions of art, antiques, jewelry, watches, coins, and collectibles from thousands of auction houses worldwide. Search by keyword and get structured, per-lot data: title, low/high pre-sale estimate, current bid, opening/start price, sold price, bid count, the auction house selling it, the sale date, lot location, the primary image, and a direct link to the lot. ### What you get Each result is one auction lot: | Field | Description | |-------|-------------| | `itemId` | LiveAuctioneers item ID | | `title` | Lot title | | `category` | Category (e.g. "Watches") — only when **Scrape Item Details** is enabled | | `estimateLow` / `estimateHigh` | Pre-sale estimate range | | `currency` | Currency code (e.g. USD) | | `currentBid` | Current leading bid (null if no bids yet) | | `startPrice` | Opening / starting bid | | `salePrice` | Final hammer/sold price (only when the lot has sold) | | `isSold` | Whether the lot has sold | | `bidCount` | Number of bids placed | | `buyNowPrice` | Buy-now price, if offered | | `auctionHouse` | Name of the selling auction house | | `sellerId` | Auction house ID | | `catalogId` / `catalogTitle` | Auction catalog the lot belongs to | | `lotNumber` | Lot number within the catalog | | `saleDate` | Auction start date/time (ISO 8601) | | `isLiveAuction` / `isTimedAuction` | Auction format | | `lotLocation` | City, region, country of the lot | | `shortDescription` | Short lot description | | `imageUrl` | Primary lot image | | `itemUrl` | Direct link to the lot page | | `searchKeyword` | The keyword this result came from | When **Scrape Item Details** is enabled, each lot is additionally enriched with `categoryPath`, full `description`, `conditionReport`, and `dimensions` from its detail page. ### Input ```json { "searchQueries": ["rolex", "pokemon"], "maxResults": 100, "scrapeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` - **searchQueries** — one or more keywords to search. - **maxResults** — cap on total records (use `0` for all matching lots via pagination). - **scrapeDetails** — enrich each lot with category + description from its detail page (doubles requests; off by default). - **proxyConfiguration** — RESIDENTIAL proxy is recommended and default (the site is protected by Imperva/Incapsula). ### Notes - LiveAuctioneers pages are server-rendered; this scraper reads the embedded application state directly, so results are clean and structured (no brittle HTML scraping). - Pricing is pay-per-result — you are billed per lot returned to the dataset. # Actor input Schema ## `searchQueries` (type: `array`): List of search keywords (e.g. 'rolex', 'pokemon', 'ming vase', 'gold coin'). Each keyword is searched on LiveAuctioneers and scraped with pagination. ## `maxResults` (type: `integer`): Maximum number of item records to return across all keywords. Use 0 to fetch ALL matching items via pagination (can be thousands). Default 100. ## `scrapeDetails` (type: `boolean`): When enabled, each item is enriched from its detail page with category, category path, full description, condition report, and dimensions. This doubles the number of requests (each detail page is a separate protected fetch), so leave it OFF for a faster list-only scrape. Default OFF. ## `proxyConfiguration` (type: `object`): Proxy settings. LiveAuctioneers is protected by Imperva/Incapsula, so RESIDENTIAL proxy is strongly recommended (and is the default). ## Actor input object example ```json { "searchQueries": [ "rolex", "pokemon" ], "maxResults": 100, "scrapeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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", "pokemon" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/liveauctioneers-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", "pokemon", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/liveauctioneers-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", "pokemon" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call lulzasaur/liveauctioneers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/liveauctioneers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LiveAuctioneers Auction Lot Scraper", "description": "Scrape LiveAuctioneers online auctions (art, antiques, jewelry, watches, coins, collectibles) by keyword. Per-lot data: title, low/high estimate, current & sold price, bid count, auction house, sale date, location, image, and URL. Optional detail mode adds category.", "version": "1.0", "x-build-id": "m7NZNsNeCeFhRb0hf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~liveauctioneers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-liveauctioneers-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~liveauctioneers-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-liveauctioneers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~liveauctioneers-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-liveauctioneers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 Keywords", "type": "array", "description": "List of search keywords (e.g. 'rolex', 'pokemon', 'ming vase', 'gold coin'). Each keyword is searched on LiveAuctioneers and scraped with pagination.", "default": [ "rolex" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of item records to return across all keywords. Use 0 to fetch ALL matching items via pagination (can be thousands). Default 100.", "default": 100 }, "scrapeDetails": { "title": "Scrape Item Details (adds category)", "type": "boolean", "description": "When enabled, each item is enriched from its detail page with category, category path, full description, condition report, and dimensions. This doubles the number of requests (each detail page is a separate protected fetch), so leave it OFF for a faster list-only scrape. Default OFF.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. LiveAuctioneers is protected by Imperva/Incapsula, so RESIDENTIAL proxy is strongly recommended (and is the default).", "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 } } } } } } } } } } ```