# 1stDibs Scraper - Luxury Antiques, Art, Furniture & Jewelry (`lulzasaur/firstdibs-scraper`) Actor

Scrape 1stDibs luxury marketplace listings: title, price, dealer/seller, creator/maker, period/era, dimensions, location, image, and URL. Search by keyword (e.g. 'art deco lamp', 'rolex') and optionally scrape full item details.

- **URL**: https://apify.com/lulzasaur/firstdibs-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, 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

## 1stDibs Scraper - Luxury Antiques, Art, Furniture & Jewelry

Scrape listings from [1stDibs](https://www.1stdibs.com) — the premier global marketplace for luxury **antiques, fine art, vintage furniture, jewelry, watches, and fashion**. Perfect for market research, price benchmarking, resale arbitrage, building product feeds, or monitoring dealer inventory.

### What it does

Given one or more search queries (e.g. `art deco lamp`, `rolex`, `mid century modern chair`, `tiffany jewelry`), the Actor returns structured listing data pulled straight from 1stDibs' embedded data store — no fragile HTML scraping.

### Output fields

| Field | Description |
|-------|-------------|
| `title` | Item title |
| `price` | Price in USD |
| `currency` | Currency code (`USD`) |
| `convertedAmounts` | Price converted into other currencies (EUR, GBP, etc.) |
| `dealer` | Seller / dealer company name |
| `creator` | Creator / maker / designer (e.g. Rolex, Eames) |
| `period` | Period / era / creation date |
| `materials` | Materials & techniques (detail mode) |
| `style` | Style (detail mode) |
| `condition` | Condition (detail mode) |
| `dimensions` | Item dimensions |
| `location` | Item country of origin |
| `dealerCountry` | Dealer's country |
| `category` | Vertical (furniture, jewelry, art, fashion, …) |
| `imageUrl` | Primary image URL |
| `images` | All image URLs (detail mode) |
| `url` | Listing URL |
| `itemId` | 1stDibs item id |
| `searchQuery` | Query that produced the result |
| `scrapedAt` | ISO timestamp of the scrape |

### Input

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

- **searchQueries** — list of keyword searches. Each is scraped separately.
- **maxResults** — max listings per query (`0` = unlimited).
- **scrapeDetails** — visit each item page for full description, all photos, materials, style, period, and condition. Slower, richer.
- **proxyConfiguration** — RESIDENTIAL proxies are recommended (and default) because 1stDibs uses a web application firewall.

### Pricing

This Actor uses **pay-per-event** pricing: a small per-run start fee plus a charge per result returned. You only pay for the data you receive.

### Example use cases

- **Resale arbitrage** — find underpriced antiques and compare against comps.
- **Price benchmarking** — track market rates for designers, brands, and eras.
- **Dealer monitoring** — watch a niche (e.g. vintage Rolex) for new inventory.
- **Product feeds** — power a luxury-goods app, newsletter, or dashboard.

### Notes

Please respect 1stDibs' Terms of Service and use scraped data responsibly. This Actor collects only publicly available listing information.

# Actor input Schema

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

List of search terms (e.g. 'art deco lamp', 'rolex', 'mid century modern chair', 'tiffany jewelry'). Each query is scraped separately from the 1stDibs marketplace.

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

Maximum number of listings to scrape per search query. 1stDibs returns ~60 results per page; pagination continues until this limit. Set to 0 for unlimited.

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

If enabled, visits each item's detail page for richer data: full description, all photos, materials, style, period, condition, and dimensions. Slower but more complete.

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

Proxy settings. 1stDibs sits behind a web application firewall; RESIDENTIAL proxies are strongly recommended and used by default.

## Actor input object example

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

# Actor output Schema

## `dataset` (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": [
        "art deco lamp"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/firstdibs-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": ["art deco lamp"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/firstdibs-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": [
    "art deco lamp"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call lulzasaur/firstdibs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/firstdibs-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/H3ZP3sc9f9gF3dtFY/builds/7zdi9Uopp7WyUwnYY/openapi.json