# Bonhams Auction Results & Art Prices Scraper (`jungle_synthesizer/bonhams-auction-results-art-prices-scraper`) Actor Scrape sold lot data from Bonhams auction results. Collects artist, title, medium, dimensions, estimate range, and hammer price for every sold lot. Ideal for art-market appraisers, dealers, insurers and researchers who need Bonhams price-realized data at scale. - **URL**: https://apify.com/jungle\_synthesizer/bonhams-auction-results-art-prices-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Bonhams Auction Results & Art Prices Scraper Extract sold lot data from [Bonhams](https://www.bonhams.com) auction results. For each sold lot the actor captures the artist name, artwork title, medium, dimensions, creation year, pre-sale estimate range, hammer price, and sale metadata. Ideal for art-market appraisers, dealers, insurers, and researchers who need Bonhams price-realized data at scale. ### What does this actor scrape? The actor crawls Bonhams.com across three levels: 1. **Auction results listing** — discovers past sales from `/auctions/results/` 2. **Individual sale pages** — enumerates all lots within a sale 3. **Lot detail pages** — extracts full data for each sold lot You can also provide direct URLs to specific lot pages or sale pages and the actor will extract data starting from that level. ### Features - Scrapes complete lot records including estimate range, hammer price, and currency - Handles GBP, USD, and EUR hammer prices automatically - Extracts medium and dimensions from catalogue descriptions - Follows Next.js SSR pages — no JavaScript rendering required - Residential proxy routing for reliable access - Supports `maxItems` cap for targeted extraction ### Input | Field | Type | Description | |-------|------|-------------| | `maxItems` | integer | Maximum number of lot records to scrape. Required. | | `startUrls` | array | Optional list of Bonhams URLs. Accepts lot pages, sale pages, or the results listing. Defaults to the main auction results listing. | | `department` | string | Optional department filter (e.g. "Paintings", "Jewellery"). Leave blank to crawl all departments. | ### Output Each record in the dataset represents one sold lot: | Field | Type | Description | |-------|------|-------------| | `lot_id` | string | Unique identifier combining sale ID and lot number | | `sale_id` | string | Bonhams numeric sale/auction ID | | `sale_title` | string | Name of the auction sale | | `sale_date` | string | ISO 8601 date of the sale | | `sale_location` | string | Venue where the sale took place | | `lot_number` | string | Lot number within the sale | | `artist_name` | string | Artist or maker name | | `artwork_title` | string | Title of the work | | `medium` | string | Medium or materials (e.g. "oil on canvas") | | `dimensions` | string | Physical dimensions as listed in the catalogue | | `year` | string | Year of creation | | `low_estimate` | number | Lower pre-sale estimate | | `high_estimate` | number | Upper pre-sale estimate | | `estimate_currency` | string | ISO 4217 currency for the estimate | | `hammer_price` | number | Price realized at auction | | `sold_currency` | string | ISO 4217 currency for the hammer price | | `is_sold` | boolean | Whether the lot sold | | `department` | string | Auction department category | | `thumbnail_url` | string | URL of the lot primary image | | `lot_url` | string | Full URL of the lot detail page | ### Example use cases - Building an art market price database for valuation and insurance appraisal - Tracking price realized trends for specific artists across multiple auctions - Comparing pre-sale estimates to hammer prices for market analysis - Generating training data for art valuation models # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of lot records to scrape. Use 0 for unlimited. ## `startUrls` (type: `array`): Optional list of Bonhams URLs to scrape. Accepts auction results listing pages, individual sale pages, or lot detail pages. If omitted, the actor starts from the main auction results listing. ## `department` (type: `string`): Optional department name to filter results (e.g. "Paintings", "Prints", "Jewellery"). Leave blank to crawl all departments. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startUrls": [ { "url": "https://www.bonhams.com/auction/31778/lot/10/frank-stella-1936-2024-costa-mesa-1967/" } ] } ```` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startUrls": [ { "url": "https://www.bonhams.com/auction/31778/lot/10/frank-stella-1936-2024-costa-mesa-1967/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/bonhams-auction-results-art-prices-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startUrls": [{ "url": "https://www.bonhams.com/auction/31778/lot/10/frank-stella-1936-2024-costa-mesa-1967/" }], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/bonhams-auction-results-art-prices-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startUrls": [ { "url": "https://www.bonhams.com/auction/31778/lot/10/frank-stella-1936-2024-costa-mesa-1967/" } ] }' | apify call jungle_synthesizer/bonhams-auction-results-art-prices-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/bonhams-auction-results-art-prices-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bonhams Auction Results & Art Prices Scraper", "description": "Scrape sold lot data from Bonhams auction results. Collects artist, title, medium, dimensions, estimate range, and hammer price for every sold lot. Ideal for art-market appraisers, dealers, insurers and researchers who need Bonhams price-realized data at scale.", "version": "0.1", "x-build-id": "K4OwGMpQ4nXZiymHc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~bonhams-auction-results-art-prices-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-bonhams-auction-results-art-prices-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/jungle_synthesizer~bonhams-auction-results-art-prices-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-bonhams-auction-results-art-prices-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/jungle_synthesizer~bonhams-auction-results-art-prices-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-bonhams-auction-results-art-prices-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of lot records to scrape. Use 0 for unlimited.", "default": 10 }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional list of Bonhams URLs to scrape. Accepts auction results listing pages, individual sale pages, or lot detail pages. If omitted, the actor starts from the main auction results listing.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "department": { "title": "Department Filter", "type": "string", "description": "Optional department name to filter results (e.g. \"Paintings\", \"Prints\", \"Jewellery\"). Leave blank to crawl all departments." } } }, "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 } } } } } } } } } } ```