# Christie's Auction & Private Sale Scraper (`saswave/christies-auction-private-sale-scraper`) Actor $0.8 / 1000 results. Extract structured data from Christie's auctions and private sales. Collect auction lot details, artwork information, price estimates, current bids, sale dates, images, descriptions, and private sale listings. For art market research, auction price analysis, collectible research - **URL**: https://apify.com/saswave/christies-auction-private-sale-scraper.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### Christie's Auction & Private Sale Scraper Extract structured data from Christie's auctions and private sales. Collect auction lot details, artwork information, price estimates, current bids, sale dates, images, descriptions, and private sale listings in machine-readable JSON. The Christie's Scraper is designed for art market research, auction price analysis, collectible research, competitor monitoring, and automated data collection from one of the world's leading auction houses. Whether you're researching fine art, sculptures, prints, collectibles, or luxury objects, this scraper helps you turn Christie's listing data into structured datasets for analysis and automation. ### Features πŸ–ΌοΈ Auction Lot Scraping – Extract structured information about artworks, collectibles, and other items listed in Christie's auctions. πŸ›οΈ Private Sales Scraping – Collect available information about items offered through Christie's private sales. πŸ’° Price Estimates – Retrieve low and high estimates, displayed estimate ranges, and estimate availability when provided. πŸ”¨ Bidding Information – Extract current bids, next bid amounts, bidding status, bid availability, and other auction-related fields when available. πŸ“… Auction Dates & Status – Collect sale start dates, end dates, registration deadlines, and lot status information. 🏷️ Artwork & Lot Details – Capture lot numbers, item IDs, titles, artist names, descriptions, and other available metadata. πŸ–ΌοΈ Image Extraction – Retrieve artwork image URLs and available image variants for further analysis or cataloging. πŸ”— Listing URLs – Extract item URLs to help you identify and revisit individual auction lots and private sale listings. πŸ’Ž Realized Price Data – Capture realized prices when provided in the listing data. πŸ“Š Structured JSON Output – Export machine-readable records for research, analytics, databases, and automated workflows. βš™οΈ Apify Integration – Run the scraper on Apify and use datasets, APIs, scheduled runs, and other supported platform features. ### Use Cases 🎨 Art Market Research Collect artwork and auction listing data to study artists, art categories, estimates, and market activity across Christie's sales. πŸ’° Auction Price Analysis Build datasets of auction estimates, current bids, and realized prices where available. Analyze pricing patterns and compare estimates across lots and sales. πŸ›οΈ Art & Collectibles Cataloging Create structured catalogs of artworks, sculptures, prints, collectibles, and luxury objects with titles, descriptions, images, and item identifiers. πŸ“ˆ Investment & Market Trend Research Research historical and current auction listing data to identify trends in artist popularity, estimated valuations, and auction activity. Listing estimates and current bids should not be treated as final market valuations. πŸ” Competitor & Auction Monitoring Monitor available auction listings, upcoming sale dates, item availability, and price estimates for market intelligence and research. πŸ›οΈ Luxury Goods Research Analyze auction and private sale listings involving luxury objects, collectibles, and other high-value items. πŸ–ΌοΈ Artist & Artwork Research Collect artist names, artwork titles, descriptions, images, and auction metadata to support art market databases and research projects. πŸ€– Automated Data Collection Integrate scraped data into databases, spreadsheets, business intelligence tools, and data pipelines using Apify datasets and APIs. ### OUTPUT Auctions ```json { "StartDateUnixTime": null, "EndDateUnixTime": null, "lot_number": "65", "end_date_unformatted": "0001-01-01T00:00:00+00:00", "start_date_unformatted": "0001-01-01T00:00:00+00:00", "is_age_check_required": false, "online_only_dynamic_lot_data": { "item_id": 325422, "next_bid": 5000.0, "current_user_max_bid_amount": 0.0, "next_bid_text": "Place starting bid: USD 5,000", "next_bid_disabled": false, "item_status": "Open" }, "online_only_static_lot_data": { "item_id": 325422, "lot_id": 325132, "is_live_auction_lot": false, "header_price": "Estimate: USD 5,000 - 7,000", "christies_unique_identifier": "25051.65" }, "is_open_for_bidding": true, "analytics_id": "25051.65", "object_id": "325422", "lot_id_txt": "65", "event_type": "OnlineSale", "primary_media": null, "status": null, "start_date": "2026-09-24T14:00:00.000Z", "end_date": "2026-10-22T15:04:00.000Z", "registration_closing_date": "2026-10-22T15:04:00.000Z", "countdown_start_date": "2026-09-24T14:00:00.000Z", "url": "/s/graphic-alchemist-works-estate-frank-stella/frank-stella-1936-2024-65/325422?ldp_breadcrumb=back", "title_primary_txt": "FRANK STELLA (1936-2024)", "title_secondary_txt": "No Smoking (Large)", "title_tertiary_txt": null, "consigner_information": "", "description_txt": "FRANK STELLA (1936-2024)
No Smoking (Large)
enamel on steel sign, 1998, from the edition of unknown size, published by Tyler Graphics, Ltd., Mount Kisco, New York, with the artist's and publisher's printed copyright line, in very good condition
Overall: 287⁄8 x 233⁄4 x 5⁄8 in. (733 x 603 x 16 mm.)
", "image": { "image_src": "https://www.christies.com/img/LotImages/2026/NYR/2026_NYR_25051_0065_000(frank_stella_no_smoking095114).jpg?mode=max", "image_mobile_src": "https://www.christies.com/img/LotImages/2026/NYR/2026_NYR_25051_0065_000(frank_stella_no_smoking095114).jpg?mode=max", "image_tablet_src": "https://www.christies.com/img/LotImages/2026/NYR/2026_NYR_25051_0065_000(frank_stella_no_smoking095114).jpg?mode=max", "image_desktop_src": "https://www.christies.com/img/LotImages/2026/NYR/2026_NYR_25051_0065_000(frank_stella_no_smoking095114).jpg?mode=max", "image_alt_text": "FRANK STELLA (1936-2024)", "image_url": "https://www.christies.com/img/LotImages/2026/NYR/2026_NYR_25051_0065_000(frank_stella_no_smoking095114).jpg?mode=max" }, "is_estimate_unknown": null, "lot_estimate_txt": null, "is_unsold": null, "estimate_visible": true, "estimate_on_request": false, "price_on_request": false, "estimate_low": "5000.00", "estimate_high": "7000.00", "estimate_txt": "USD 5,000 - 7,000", "price_realised": null, "price_realised_txt": "", "current_bid": "5000.00", "current_bid_txt": "USD 5,000", "is_saved": false, "show_save": true, "is_follow_enabled": true, "bid_details_tooltip_txt": null, "aria_open_bid_details_tooltip_txt": null, "lot_assets": null, "has_no_bids": true, "bid_count_txt": "", "extended": false, "server_time": "2026-10-11T12:02:42.431Z", "total_seconds_remaining": 961278, "sale": { "time_zone": "TIMEZONE", "date_txt": "DATETEXT", "start_date": "2026-09-24T14:00:00.000Z", "sale_start_date_time": null, "sale_end_date_time": null, "end_date": "2026-10-22T14:00:00.000Z", "time_zone_start_date": null, "time_zone_end_date": null, "registration_close_date": null, "is_auction_over": null, "is_in_progress": true, "server_time": null, "id": null, "number": null, "location": null, "type": null }, "lot_withdrawn": false, "bid_status": { "txt": "", "status": "" }, "item_type": null, "trending_type": null, "seconds_until_bidding": -1461762, "show_timer": true, "show_lot_number": null, "lot_primary_action": null, "show_geo_restriction_action": null, "bid_button_action": { "aria_button_txt": "Bid", "show": true, "is_enabled": true, "button_txt": "Bid", "action_event_name": "auction-signin", "action_display": "online-modal", "action_type": "id", "action_value": "online-login", "analytics_id": null, "analytics": null } } ``` Private sales ```json { "object_id": "SN00699054-001", "lot_id_txt": null, "event_type": "PrivateSale", "start_date": null, "end_date": null, "url": "https://www.christies.com/en/private-sales/privateitems/Mouton-Transhumant-SN00699054-001", "title_primary_txt": "FRANΓ‡OIS-XAVIER LALANNE (1927-2008)", "title_secondary_txt": "Mouton Transhumant", "title_tertiary_txt": null, "consigner_information": null, "description_txt": null, "image": { "image_src": "https://apim.christies.com/private-sales-images/v1/SN00699054_001_1/SN00699054_001_1_001.jpg", "image_mobile_src": "https://apim.christies.com/private-sales-images/v1/SN00699054_001_1/SN00699054_001_1_001.jpg", "image_tablet_src": "https://apim.christies.com/private-sales-images/v1/SN00699054_001_1/SN00699054_001_1_001.jpg", "image_desktop_src": "https://apim.christies.com/private-sales-images/v1/SN00699054_001_1/SN00699054_001_1_001.jpg", "image_alt_text": "FRANΓ‡OIS-XAVIER LALANNE (1927-2008)" }, "estimate_visible": false, "estimate_on_request": false, "is_estimate_unknown": false, "price_on_request": true, "estimate_low": null, "estimate_high": null, "estimate_txt": null, "lot_withdrawn": false, "price_realised": null, "price_realised_txt": null, "current_bid": null, "current_bid_txt": null, "is_saved": false, "show_save": true, "lot_primary_action": { "show": true, "is_enabled": true, "button_txt": "Request Price", "action_value": "enquiry-form", "action_type": "enquiry", "action_display": "drawer", "action_event_name": "lot event", "analytics": { "type": "enquire", "location": "private sales:category:lot card" } } } ``` ### πŸ›Ÿ SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `urls` (type: `array`): Provide Auction or Private Sale search urls. ex https://onlineonly.christies.com/s/graphic-alchemist-works-estate-frank-stella/lots/4086 , https://www.christies.com/en/private-sales/categories?page=1\&sortby=PublishDate ## Actor input object example ```json { "urls": [ "https://onlineonly.christies.com/s/graphic-alchemist-works-estate-frank-stella/lots/4086" ] } ``` # 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 = { "urls": [ "https://onlineonly.christies.com/s/graphic-alchemist-works-estate-frank-stella/lots/4086" ] }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/christies-auction-private-sale-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "urls": ["https://onlineonly.christies.com/s/graphic-alchemist-works-estate-frank-stella/lots/4086"] } # Run the Actor and wait for it to finish run = client.actor("saswave/christies-auction-private-sale-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://onlineonly.christies.com/s/graphic-alchemist-works-estate-frank-stella/lots/4086" ] }' | apify call saswave/christies-auction-private-sale-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/christies-auction-private-sale-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/dnsDs9f5hkDi0Tf5b/builds/qriqagExd2onUW3EL/openapi.json