# Chairish Furniture & Decor Listings Scraper (`devilscrapes/chairish-furniture-listings-scraper`) Actor Search Chairish's curated vintage furniture, art, and antiques marketplace by keyword or category. One row per active listing with price, category, dimensions, and seller - built for resale comps and design sourcing. No login required; we handle the retries. - **URL**: https://apify.com/devilscrapes/chairish-furniture-listings-scraper.md - **Developed by:** [DevilScrapes](https://apify.com/devilscrapes) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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
Devil Scrapes mark ## Chairish Furniture & Decor Listings Scraper **💰 $4.00 / 1 000 results**  ·  pay only for results  ·  no credit card to try *We do the dirty work so your dataset stays clean.* 😈 Search Chairish's curated vintage furniture, art, and antiques marketplace by keyword or category. One row per active listing with price, category, dimensions, and seller - built for resale comps and design sourcing. No login required; we handle the retries.
*** ### 🎯 What this scrapes Chairish is a curated resale marketplace for vintage and design furniture, art, lighting, and decor. This Actor runs your keyword or category searches against Chairish's own public search pages and maps every listing card into one clean row: price, category, dimensions, and seller, ready for a spreadsheet or a pricing model without opening a browser. ### 🔥 What we handle for you - 🔁 **Retries with exponential backoff** on `403 / 408 / 429 / 5xx` and network errors - up to 5 attempts per page, `Retry-After` honoured. - 🔄 **Browser fingerprint rotation** - `curl-cffi` impersonates Chrome and Firefox TLS handshakes on every retry, defense-in-depth even though live recon found no fingerprint sensitivity on Chairish's search pages. - 🌐 **Apify Proxy wired in from the start** - shared datacenter pool by default, one click to switch groups if you ever need it. - 🧱 **Fault-isolated pages** - one malformed listing never takes down the rest of the page; a query that matches nothing still succeeds with zero rows. - 🧊 **Clean, typed dataset rows** - Pydantic-validated, ISO-8601 timestamps, stable IDs, JSON / CSV / Excel export straight from the Apify Console. - 💰 **Pay-Per-Event pricing** - you only pay for results that hit your dataset. No data, no charge. ### 💡 Use cases - Vintage/design resale comps - price stock against live Chairish asks before listing elsewhere. - Interior designers sourcing pieces within a budget or category on a schedule. - Market research - track pricing trends for a design era, maker, or category. - Dealer/inventory monitoring - watch for newly listed pieces matching a keyword watchlist. ### ⚙️ How to use it 1. Click **Try for free** at the top of the page. 2. Fill in the input form — most fields have sensible defaults. 3. Click **Start**. Output streams into the run's dataset. 4. Export from **Storage → Dataset** as JSON, CSV, or Excel — or fetch via the API. ### 📥 Input | Field | Type | Required | Default | Notes | |---|---|:--:|---|---| | `queries` | `array` | **yes** | \['chairs', 'mid century desk'] | One or more free-text Chairish searches or category names, e.g. "chairs", "mid century desk", "sofas". Each query runs its own paginated… | | `maxPagesPerQuery` | `integer` | no | 2 | How many search-result pages to fetch per query before moving to the next query (48 listings per page). A page that yields zero listings stops that… | | `maxResultsPerQuery` | `integer` | no | 20 | Optional cap on how many listings to keep per query, across all its pages. Leave blank for no cap (everything up to maxPagesPerQuery x 48 listings/page). | | `proxyConfiguration` | `object` | no | {'useApifyProxy': True} | Apify Proxy configuration. Defaults to Apify's shared datacenter pool - live recon found no anti-bot fingerprinting on Chairish's search pages. Switch… | #### Example input ```json { "queries": [ "chairs", "mid century desk" ], "maxPagesPerQuery": 2, "maxResultsPerQuery": 20, "proxyConfiguration": { "useApifyProxy": true } } ``` ### 📤 Output Every row is one dataset item. | Field | Type | Notes | |---|---|---| | `product_id` | `string` | Chairish's own product ID. | | `title` | `string` | Listing title. | | `price` | `string` | Asking price, normalised to dollars as a decimal string, e.g. "7450.00". | | `currency` | `string` | ISO 4217 currency code ("USD" - Chairish is a US-dollar-only marketplace). | | `category` | `string` | Taxonomy path, e.g. "Furniture/Seating/Accent Chairs/Swivel Chairs", when set. | | `dimensions` | `string` | Freeform dimension string as shown on the listing card, when present. | | `on_sale` | `boolean` | True when the listing is flagged as a public sale/markdown item. | | `seller_id` | `string` | Opaque Chairish dealer/seller GUID (not a public username), when present. | | `listing_url` | `string` | Canonical Chairish listing URL. | | `image_url` | `string` | Primary listing photo URL, when present. | | `query_used` | `string` | The search query that produced this row. | | `page` | `integer` | The search-result page number that produced this row. | | `scraped_at` | `string` | ISO-8601 UTC timestamp when this row was recorded. | #### Example output ```json { "product_id": "37220689", "title": "Vintage Leopard Velvet Swivel Chairs", "price": "7450.00", "currency": "USD", "category": "Furniture/Seating/Accent Chairs/Swivel Chairs", "dimensions": "29˝W × 21.75˝D × 32.25˝H", "on_sale": false, "seller_id": "xt2req", "listing_url": "https://www.chairish.com/product/37220689/vintage-leopard-velvet-swivel-chairs", "image_url": "https://chairish-prod.freetls.fastly.net/image/product/sized/1e9ddce1-9eec-468c-9efc-5841bcf23729/vintage-leopard-velvet-swivel-chairs-1035?aspect=fit&width=320&height=320", "query_used": "chairs", "page": 1, "scraped_at": "2026-09-15T12:00:00.000Z" } ``` ### 💰 Pricing Pay-Per-Event — you pay only when these events fire: | Event | USD | What it is | |---|---:|---| | `actor-start` | $0.2 | One-off warm-up charge per run | | `item-result` | $0.0038 | Per unique dataset item | Example: 1 000 results at the rates above (including the $0.20 flat start fee) ≈ **$4.00** total. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit. ### 🚧 Limitations - Active listings only - this Actor scrapes the public search results, not sold/completed-sale history. - No per-listing detail-page enrichment (condition notes, seller ratings, full photo set) beyond what the search-results card already carries. - No structured facet filters (era, maker, material as distinct params) - everything folds into the free-text query string. - USD/`.com` storefront only - no other Chairish region variants in v1. - This is a thin-demand niche market - Chairish's own third-party scraper cluster is small, so expect a smaller comps universe than a mainstream marketplace. ### ❓ FAQ **Is this legal?** We only fetch what Chairish's public search page already serves to any visitor. Respect Chairish's Terms of Service before using the output commercially. **How do I search multiple keywords or categories at once?** Add each term as its own entry in the queries list - the Actor runs one paginated search per entry and merges the results into a single dataset. **Why did a query return zero rows?** Either nothing on Chairish matched that search, or the search genuinely has no results. The run still succeeds - an empty match isn't treated as a failure. **Can I get sold/completed listings instead of active ones?** Not in v1 - this Actor covers Chairish's public active-listing search only. Open an Issue if you need sold-comp data and we'll scope it. ### 💬 Your feedback Spotted a bug, hit a weird edge case, or need a new field? Open an issue on the Actor's **Issues** tab on Apify Console — we ship fixes weekly and we read every report. ***
Built by **[Devil Scrapes](https://apify.com/DevilScrapes)** 😈 — a small fleet of opinionated public-data Actors. Honest pricing, real engineering, zero fine print.
# Actor input Schema ## `queries` (type: `array`): One or more free-text Chairish searches or category names, e.g. "chairs", "mid century desk", "sofas". Each query runs its own paginated search. ## `maxPagesPerQuery` (type: `integer`): How many search-result pages to fetch per query before moving to the next query (48 listings per page). A page that yields zero listings stops that query early. ## `maxResultsPerQuery` (type: `integer`): Optional cap on how many listings to keep per query, across all its pages. Leave blank for no cap (everything up to maxPagesPerQuery x 48 listings/page). ## `proxyConfiguration` (type: `object`): Apify Proxy configuration. Defaults to Apify's shared datacenter pool - live recon found no anti-bot fingerprinting on Chairish's search pages. Switch proxy groups here if you see blocks at scale. ## Actor input object example ```json { "queries": [ "chairs", "mid century desk" ], "maxPagesPerQuery": 2, "maxResultsPerQuery": 20, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `datasetItems` (type: `string`): All dataset items as JSON. ## `datasetItemsCsv` (type: `string`): Same data exported to CSV. ## `datasetView` (type: `string`): Open the run dataset in the Console. # 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 = { "queries": [ "chairs", "mid century desk" ], "maxPagesPerQuery": 2, "maxResultsPerQuery": 20, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("devilscrapes/chairish-furniture-listings-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 = { "queries": [ "chairs", "mid century desk", ], "maxPagesPerQuery": 2, "maxResultsPerQuery": 20, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("devilscrapes/chairish-furniture-listings-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 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) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "chairs", "mid century desk" ], "maxPagesPerQuery": 2, "maxResultsPerQuery": 20, "proxyConfiguration": { "useApifyProxy": true } }' | apify call devilscrapes/chairish-furniture-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,devilscrapes/chairish-furniture-listings-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/p0pyp4fN20oiFXhXX/builds/rgGdyxbm56TtPGuTl/openapi.json