# SaatchiArt Scraper (`crawlerbros/saatchiart-scraper`) Actor

Scrape SaatchiArt - the world's leading online art gallery with 70,000+ artists. Search paintings, photography, sculpture and more by keyword, category, or artist.

- **URL**: https://apify.com/crawlerbros/saatchiart-scraper.md
- **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community)
- **Categories:** Automation, E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Saatchi Art Scraper

Extract artwork listings, artist profiles, and art data from [SaatchiArt.com](https://www.saatchiart.com) — one of the world's largest online art marketplaces with over 1 million original artworks.

### What Does It Do?

This actor scrapes SaatchiArt to retrieve:

- **Artwork listings** with title, artist, price, medium, dimensions, and images
- **Artist profiles** with biography, portfolio, and follower counts
- **Category browsing** for paintings, prints, photography, sculpture, and more

### Input

| Field | Type | Description | Default |
|-------|------|-------------|---------|
| `mode` | Select | `search`, `category`, or `artist` | `search` |
| `searchQuery` | String | Keywords to search for | — |
| `category` | Select | Art category (painting, photography, etc.) | — |
| `artistSlug` | String | Artist slug for artist mode | — |
| `maxItems` | Integer | Maximum items to return (1–500) | 50 |

**Example Input**

```json
{
  "mode": "search",
  "searchQuery": "abstract painting",
  "maxItems": 50
}
```

### Output

Each record contains:

| Field | Description |
|-------|-------------|
| `artworkId` | Unique artwork identifier |
| `artworkTitle` | Title of the artwork |
| `artistName` | Full artist name |
| `medium` | Art medium (oil, acrylic, etc.) |
| `price` | Price in USD |
| `currency` | Currency code |
| `imageUrl` | High-resolution image URL |
| `artworkUrl` | Artwork page URL |
| `width` | Width in cm |
| `height` | Height in cm |
| `scrapedAt` | ISO timestamp |

### FAQs

**Is this free to use?**\
Yes. The actor uses only publicly accessible pages on SaatchiArt, no account required.

**How many artworks can I scrape?**\
Set `maxItems` up to 500 per run. For large datasets, run multiple times with different search queries.

**What categories are supported?**\
Painting, Photography, Prints, Sculpture, Drawings, Collage, and more.

# Actor input Schema

## `mode` (type: `string`):

What to fetch.

## `searchQuery` (type: `string`):

Free-text search query (mode=search).

## `category` (type: `string`):

Artwork category to browse (mode=category).

## `artistId` (type: `string`):

Artist profile slug from SaatchiArt URL (mode=artist).

## `mediumFilter` (type: `string`):

Filter results to a specific medium (e.g. oil, acrylic, watercolor).

## `maxItems` (type: `integer`):

Maximum number of artwork records to return.

## Actor input object example

```json
{
  "mode": "search",
  "searchQuery": "abstract",
  "category": "paintings",
  "maxItems": 30
}
```

# Actor output Schema

## `artworks` (type: `string`):

Dataset containing all scraped artwork records.

# 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 = {
    "mode": "search",
    "searchQuery": "abstract",
    "category": "paintings",
    "maxItems": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlerbros/saatchiart-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 = {
    "mode": "search",
    "searchQuery": "abstract",
    "category": "paintings",
    "maxItems": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("crawlerbros/saatchiart-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 '{
  "mode": "search",
  "searchQuery": "abstract",
  "category": "paintings",
  "maxItems": 30
}' |
apify call crawlerbros/saatchiart-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawlerbros/saatchiart-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/ktABKqz6qmV57kYUL/builds/mxWpCU0F0kBgaWTyW/openapi.json