# Chairish + Pamono + AptDeco Vintage Furniture Scraper (`jungle_synthesizer/chairish-pamono-vintage-furniture-marketplace-scraper`) Actor Scrape vintage and used furniture listings from Chairish, Pamono, and AptDeco in one unified dataset. Returns title, price, designer, materials, condition, dimensions, seller info, and delivery region across all 3 marketplaces. - **URL**: https://apify.com/jungle\_synthesizer/chairish-pamono-vintage-furniture-marketplace-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **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. 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, Pamono, and AptDeco Vintage Furniture Scraper Scrape vintage and used furniture listings from three of the largest online vintage marketplaces — [Chairish](https://www.chairish.com), [Pamono](https://www.pamono.com), and [AptDeco](https://www.aptdeco.com) — and get the results in one unified dataset. Returns title, designer, manufacturer, period, style, materials, condition, dimensions, price, currency, seller info, delivery region, and images across all three sources. --- ### Vintage Furniture Scraper Features - Crawls three marketplaces (Chairish, Pamono, AptDeco) into a single normalized schema - Extracts 25+ fields per listing: title, designer/creator, manufacturer, period, style, country of origin - Captures full dimensions — height, width, depth, and seat height where listed - Returns price, currency, sale status, and original price for items currently discounted - Reports seller name, type (dealer vs. private seller), location, and rating - Picks marketplaces individually via the `sources` input — scrape one, two, or all three per run - Pay-per-event pricing tied to records returned, normalized across sources --- ### Who Uses Vintage Furniture Data? - **Interior designers** — source mid-century, Art Deco, and Bauhaus pieces by period and style across three marketplaces at once - **Dealers and resellers** — track competitor pricing for specific designers (Eames, Saarinen, Borsani) or material categories - **Auction houses** — benchmark comparable sales for valuation work without three browser tabs and a spreadsheet - **Furniture-tech startups** — feed pricing data into recommendation engines, valuation models, or marketplace aggregators - **Collectors and curators** — monitor new listings in a specific style, designer, or country-of-origin bucket --- ### How the Scraper Works 1. You pick which marketplaces to crawl: `chairish`, `pamono`, `aptdeco`, or any subset. 2. Each adapter walks the appropriate discovery path — Chairish's product sitemap, Pamono's category pages, AptDeco's sitemap index — and queues listing URLs. 3. Each listing is rendered in a real browser to bypass anti-bot challenges, and the relevant fields are pulled from JSON-LD, embedded JSON, or the rendered HTML, depending on the site. 4. Records are normalized to one shared schema with a `source_site` field so cross-marketplace analysis works without a join step. --- ### Input Scrape all three marketplaces: ```json { "maxItems": 30, "sources": ["chairish", "pamono", "aptdeco"] } ```` Chairish-only run: ```json { "maxItems": 50, "sources": ["chairish"] } ``` Pamono and AptDeco only (skip Chairish): ```json { "maxItems": 20, "sources": ["pamono", "aptdeco"] } ``` | Field | Type | Default | Description | |-------|------|---------|-------------| | maxItems | integer | `10` | Maximum number of listings to return across all sources combined | | sources | array | `["chairish", "pamono", "aptdeco"]` | Which marketplaces to scrape. Any subset of `chairish`, `pamono`, `aptdeco`. | *** ### Vintage Furniture Scraper Output Fields ```json { "source_site": "chairish", "listing_id": "12345678", "title": "Mid-Century Modern Walnut Lounge Chair by Arne Vodder", "designer_creator": "Arne Vodder", "manufacturer": "Sibast Møbler", "period": "1960s", "style": "Mid-Century Modern", "country_of_origin": "Denmark", "materials": "Walnut, Leather", "condition": "Good — refinished", "dimensions_height": "32 in", "dimensions_width": "28 in", "dimensions_depth": "31 in", "dimensions_seat_height": "16 in", "price": 2400, "currency": "USD", "is_on_sale": true, "original_price": 2800, "is_make_offer": true, "seller_name": "Modern Antique Co.", "seller_type": "Trade", "seller_location": "Brooklyn, NY", "seller_rating": 4.9, "shipping_cost": 250, "delivery_region": "Continental US", "num_images": 12, "image_url": "https://cdn.chairish.com/img/12345678/main.jpg", "listing_url": "https://www.chairish.com/product/12345678/lounge-chair" } ``` | Field | Type | Description | |-------|------|-------------| | source\_site | string | Source marketplace: `chairish`, `pamono`, or `aptdeco` | | listing\_id | string | Unique listing identifier on the source marketplace | | title | string | Listing title | | designer\_creator | string | Designer or creator credited on the listing | | manufacturer | string | Manufacturer or brand | | period | string | Era or decade (e.g. "1960s", "Victorian") | | style | string | Design style (e.g. "Mid-Century Modern", "Art Deco") | | country\_of\_origin | string | Country of origin | | materials | string | Materials used (wood species, fabrics, metals) | | condition | string | Condition description | | dimensions\_height | string | Overall height | | dimensions\_width | string | Overall width | | dimensions\_depth | string | Overall depth | | dimensions\_seat\_height | string | Seat height (for chairs/sofas) | | price | number | Current listing price | | currency | string | Currency code (USD, EUR, GBP) | | is\_on\_sale | boolean | `true` if the listing is discounted | | original\_price | number | Original price when `is_on_sale` is `true` | | is\_make\_offer | boolean | `true` if the seller accepts offers | | seller\_name | string | Seller display name | | seller\_type | string | Seller type (Trade, Private, Dealer) | | seller\_location | string | Seller city/region | | seller\_rating | number | Seller rating on a 5.0 scale | | shipping\_cost | number | Shipping cost in the listing currency | | delivery\_region | string | Regions the seller will ship to | | num\_images | integer | Number of images on the listing | | image\_url | string | Primary image URL | | listing\_url | string | Direct URL to the listing on its source marketplace | *** ### FAQ #### How do I scrape vintage furniture listings from Chairish, Pamono, and AptDeco? Vintage Furniture Scraper accepts a `sources` array — drop in the marketplaces you want and a `maxItems` cap. The scraper handles each site's discovery path, anti-bot bypass, and field normalization. You get one unified dataset back. #### Does the scraper need proxies? Yes — residential proxies are wired in by default. Chairish and AptDeco both sit behind anti-bot protection that blocks datacenter IPs, and Pamono behaves better with residential as well. The proxy is bundled, so you don't have to configure or pay for one separately. #### Can I scrape just one marketplace? Set `sources` to a single-element array like `["chairish"]` or `["aptdeco"]` and that's the only site the scraper touches. Useful when you're benchmarking pricing on a specific platform. #### Do the three marketplaces have the same fields? Vintage Furniture Scraper normalizes them as much as the source data allows. Designer, period, style, dimensions, and price are present everywhere. Some fields (seat height, original price, seller rating) are populated only when the source listing exposes them — missing values are `null`, not invented. #### How does pricing work across currencies? Vintage Furniture Scraper returns the price in whatever currency the listing displays — USD for Chairish and AptDeco, EUR/GBP for many Pamono listings. The `currency` field tells you which one. No automatic conversion is applied. *** ### Need More Features? Need custom fields, filters, or a different target site? [File an issue](https://console.apify.com/actors/issues) or get in touch. ### Why Use Vintage Furniture Scraper? - **Three sites, one schema** — Chairish, Pamono, and AptDeco land in the same JSON shape, so cross-marketplace analysis skips the normalization step entirely. - **Designer and period fields parsed cleanly** — Arne Vodder, Borsani, and the rest come out as separate fields, not buried in the title string. - **Residential proxies and real browser rendering included** — The anti-bot protection on these sites is real, and the scraper is built for it. You don't supply a proxy or a Chromium binary — that's the whole point. # 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 records to scrape ## `sources` (type: `array`): Which marketplaces to scrape. Options: chairish, pamono, aptdeco. Defaults to all three. ## 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": 5, "sources": [ "chairish", "pamono", "aptdeco" ] } ``` # 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": 5, "sources": [ "chairish", "pamono", "aptdeco" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/chairish-pamono-vintage-furniture-marketplace-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": 5, "sources": [ "chairish", "pamono", "aptdeco", ], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/chairish-pamono-vintage-furniture-marketplace-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": 5, "sources": [ "chairish", "pamono", "aptdeco" ] }' | apify call jungle_synthesizer/chairish-pamono-vintage-furniture-marketplace-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/chairish-pamono-vintage-furniture-marketplace-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Chairish + Pamono + AptDeco Vintage Furniture Scraper", "description": "Scrape vintage and used furniture listings from Chairish, Pamono, and AptDeco in one unified dataset. Returns title, price, designer, materials, condition, dimensions, seller info, and delivery region across all 3 marketplaces.", "version": "0.1", "x-build-id": "V5qxyqN4Y7ID2CYav" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~chairish-pamono-vintage-furniture-marketplace-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-chairish-pamono-vintage-furniture-marketplace-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~chairish-pamono-vintage-furniture-marketplace-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-chairish-pamono-vintage-furniture-marketplace-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~chairish-pamono-vintage-furniture-marketplace-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-chairish-pamono-vintage-furniture-marketplace-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": [ "sources" ], "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 records to scrape", "default": 10 }, "sources": { "title": "Sources", "type": "array", "description": "Which marketplaces to scrape. Options: chairish, pamono, aptdeco. Defaults to all three.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```