# 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:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 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/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

## Chairish Scraper

Scrape vintage & used furniture, home decor, and art listings from [Chairish.com](https://www.chairish.com) — the design lover's marketplace for vintage, antique, and contemporary pieces.

Built for **dealers, resellers, appraisers, interior designers, and collectors** who need structured pricing and product data for arbitrage, market research, and inventory analysis.

### What it extracts

For each listing:

| Field | Description |
|-------|-------------|
| `id` | Chairish product ID |
| `title` | Listing title |
| `url` | Full product URL |
| `price` | Current price (number) |
| `priceDisplay` | Formatted price (e.g. `$2,750`) |
| `originalPrice` | Original/prior price if reduced |
| `discountPercent` | Discount percentage if on sale |
| `category` / `taxonomy` | Full taxonomy path (e.g. `Furniture/Seating/Lounge Chairs`) |
| `designer` | Designer or brand (e.g. `Eames`) |
| `period` | Period / era (e.g. `1970s`) |
| `style` | Style (e.g. `Mid-Century Modern`) |
| `condition` | Condition notes |
| `material` | Materials |
| `color` | Color |
| `heightIn`, `widthIn`, `depthIn` | Dimensions (inches) |
| `countryOfOrigin` | Country of origin |
| `itemType` | Vintage / Antique / Newly Made etc. |
| `sellerName` | Selling dealer |
| `sellerLocation` | Dealer city/region |
| `sellerCountry` | Dealer country |
| `image` | Primary product image URL |
| `description` | Listing description |
| `availability` | In stock / sold |
| `searchQuery` | The query that surfaced this item |
| `scrapedAt` | ISO timestamp |

> Detail fields (designer, period, condition, dimensions, seller, location, description) require **Scrape Detail Pages** enabled (default on).

### Input

```json
{
    "searchQueries": ["eames chair", "art deco lamp"],
    "startUrls": [],
    "maxResults": 50,
    "scrapeDetails": true,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

- **searchQueries** — free-text search terms.
- **startUrls** — direct Chairish search or collection/category URLs (added in addition to queries).
- **maxResults** — total cap across all queries/URLs.
- **scrapeDetails** — visit each product page for full data (default `true`). Disable for faster list-only output.
- **proxyConfiguration** — RESIDENTIAL recommended (default).

### How it works

1. Loads Chairish search/collection pages and reads the embedded `PRODUCT_ID_TO_PRODUCT_JSON_MAP` (48 products per page) for title, price, original price, category, and image.
2. Paginates via `?page=N` up to `maxResults`.
3. When detail scraping is on, visits each product page and parses the JSON-LD `Product` schema plus the on-page spec list for designer, period, condition, dimensions, materials, seller, and location.

### Output

Each record is pushed to the default dataset and can be exported as JSON, CSV, Excel, or via the API.

### Pricing

Pay per result — you are charged a small per-item fee plus a tiny actor-start fee. No subscription.

### Disclaimer

Scrapes publicly available data for research and analysis. Respect Chairish's Terms of Service and applicable laws.

# Actor input Schema

## `searchQueries` (type: `array`):

Search terms to find products on Chairish (e.g., 'eames chair', 'mid century modern', 'art deco lamp'). Leave empty if using Start URLs.

## `startUrls` (type: `array`):

Direct Chairish search or collection/category URLs to scrape (e.g., https://www.chairish.com/collection/furniture). Added in addition to any search queries.

## `maxResults` (type: `integer`):

Maximum total number of product records to return across all queries/URLs.

## `scrapeDetails` (type: `boolean`):

Visit each product page for full data (designer, period/era, condition, dimensions, materials, seller, location, description). Disable for faster, list-only results (title, price, image, category).

## `proxyConfiguration` (type: `object`):

Proxy settings. RESIDENTIAL proxy is used by default to avoid rate limiting.

## Actor input object example

```json
{
  "searchQueries": [
    "mid century modern"
  ],
  "startUrls": [],
  "maxResults": 50,
  "scrapeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "mid century modern"
    ],
    "startUrls": []
};

// 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["mid century modern"],
    "startUrls": [],
}

# 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(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 '{
  "searchQueries": [
    "mid century modern"
  ],
  "startUrls": []
}' |
apify call lulzasaur/chairish-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/chairish-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 <APIFY_API_TOKEN>` 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/Sux4wDayjRD0WvZBf/builds/DDJzVCM6uZbyT91T1/openapi.json