# Chairish Scraper - Luxury Vintage Furniture Prices (`lulzasaur/chairish-scraper`) Actor Scrape luxury vintage and antique furniture from Chairish.com. Extract prices, seller info, dimensions, materials, style, brand, condition, and images via JSON-LD Product schema. - **URL**: https://apify.com/lulzasaur/chairish-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, NaN 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 ## Chairish Scraper Scrape luxury vintage and antique furniture listings from [Chairish.com](https://www.chairish.com) -- the design lover's marketplace for vintage, antique, and contemporary furniture, decor, and art. ### What data can you extract? For each product listing, the scraper extracts: - **Product details**: title, description, product ID - **Pricing**: current price, currency, availability - **Attributes**: brand/maker, material, color, style, condition - **Dimensions**: width, height, depth (in inches) - **Seller info**: seller name, location, country - **Ratings**: aggregate rating value, review count - **Images**: all product images (full URLs), image count - **Category**: hierarchical category path and category code - **Metadata**: product URL, scrape timestamp ### How to use #### Search by keyword Enter search terms like "mid century modern chair", "art deco lamp", or "vintage dining table". The scraper will search Chairish and extract product data from the results. #### Browse by collection or category Provide collection/category URLs directly: - `https://www.chairish.com/collection/furniture` - `https://www.chairish.com/collection/art` - `https://www.chairish.com/collection/lighting` #### Scrape specific products Provide direct product URLs to scrape individual listings: - `https://www.chairish.com/product/12345678/vintage-eames-chair` ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQueries` | string[] | `["mid century modern chair"]` | Search terms to find products | | `startUrls` | URL[] | `[]` | Direct product or collection URLs | | `maxResults` | integer | `50` | Maximum total results (0 = unlimited) | | `maxPages` | integer | `3` | Max listing pages per query/collection | | `proxyConfiguration` | object | `{}` | Proxy settings for large runs | ### Example output ```json { "productId": "3974825", "title": "1960s Vintage Carimate Chair by Vico Magistretti for Cassina", "description": "Carimate lounge chair by Vico Magistretti for Cassina, Italy, 1962...", "price": 2900, "currency": "USD", "availability": "In Stock", "condition": "Used", "category": "Furniture > Chairs > Arm Chairs, Recliners & Sleeper Chairs", "categoryCode": "SEATING:ACCENTCHAIR:LOUNGE", "brand": "Cassina", "material": "Beech/Rush", "color": "Red", "style": "Mid-Century Modern", "dimensions": "24.02in W x 28.35in D x 28.35in H", "widthIn": 24.02, "heightIn": 28.35, "depthIn": 28.35, "seller": "HOPP Home", "sellerLocation": "New York, LFP", "sellerCountry": "US", "ratingValue": null, "reviewCount": null, "imageUrl": "https://chairish-prod.freetls.fastly.net/image/product/master/...", "images": ["..."], "imageCount": 6, "url": "https://www.chairish.com/product/3974825/...", "searchQuery": "mid century modern chair", "scrapedAt": "2026-04-25T12:00:00.000Z" } ```` ### How it works 1. **Search/Browse**: The scraper fetches search results or collection pages from Chairish, which are server-side rendered HTML 2. **Product discovery**: Extracts all product links from listing pages and follows pagination 3. **Detail extraction**: Visits each product page and extracts structured data from JSON-LD `Product` schema embedded in the HTML, supplemented by Open Graph meta tags 4. **Data enrichment**: Parses additional details (style, condition) from the rendered page text ### Tips - Chairish has tens of thousands of active listings across furniture, art, lighting, and decor - Use specific search queries for better-targeted results - Collection URLs like `/collection/furniture` provide broad browsing - The scraper respects rate limits; use proxy configuration for large-scale runs - Each listing page contains approximately 48 products ### Cost estimation Using pay-per-event pricing at $0.005 per result: - 50 results = ~$0.25 - 500 results = ~$2.50 - 5,000 results = ~$25.00 # Actor input Schema ## `searchQueries` (type: `array`): Search terms to find products on Chairish (e.g., 'mid century modern chair', 'art deco lamp'). Leave empty if using Start URLs or collection URLs. ## `startUrls` (type: `array`): Direct product URLs or collection/category URLs to scrape. Overrides search queries if provided. ## `maxResults` (type: `integer`): Maximum total number of results to return. Set 0 for unlimited. ## `maxPages` (type: `integer`): Maximum number of listing pages to crawl per search query or collection. Each page has ~48 products. ## `proxyConfiguration` (type: `object`): Proxy settings. Recommended for large-scale runs to avoid rate limiting. ## Actor input object example ```json { "searchQueries": [ "mid century modern chair" ], "startUrls": [ { "url": "https://www.chairish.com/collection/furniture" } ], "maxResults": 50, "maxPages": 3, "proxyConfiguration": { "useApifyProxy": false } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "mid century modern chair" ], "startUrls": [ { "url": "https://www.chairish.com/collection/furniture" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/chairish-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": ["mid century modern chair"], "startUrls": [{ "url": "https://www.chairish.com/collection/furniture" }], } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/chairish-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": [ "mid century modern chair" ], "startUrls": [ { "url": "https://www.chairish.com/collection/furniture" } ] }' | apify call lulzasaur/chairish-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/chairish-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Chairish Scraper - Luxury Vintage Furniture Prices", "description": "Scrape luxury vintage and antique furniture from Chairish.com. Extract prices, seller info, dimensions, materials, style, brand, condition, and images via JSON-LD Product schema.", "version": "1.0", "x-build-id": "3FHEcZ8duJzXxPwCS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~chairish-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-chairish-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~chairish-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-chairish-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~chairish-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-chairish-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Search terms to find products on Chairish (e.g., 'mid century modern chair', 'art deco lamp'). Leave empty if using Start URLs or collection URLs.", "default": [ "mid century modern chair" ], "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct product URLs or collection/category URLs to scrape. Overrides search queries if provided.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum total number of results to return. Set 0 for unlimited.", "default": 50 }, "maxPages": { "title": "Max Pages per Query/Collection", "minimum": 1, "type": "integer", "description": "Maximum number of listing pages to crawl per search query or collection. Each page has ~48 products.", "default": 3 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Recommended for large-scale runs to avoid rate limiting.", "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 } } } } } } } } } } ```