# Met Museum Art Scraper – Artworks, Artists & Images (`ninhothedev/met-museum-scraper`) Actor

$0.30/1K 🔥 Fast Met Museum art scraper! Artworks — title, artist, date, medium, department, images & public-domain flag. JSON, CSV, Excel or API in seconds. Search or list IDs & pull thousands of artworks for apps & AI ⚡

- **URL**: https://apify.com/ninhothedev/met-museum-scraper.md
- **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 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

## Met Museum Art Scraper – Artworks, Artists & Images

**Get clean data from the Metropolitan Museum of Art collection: artwork title, artist, date, medium, dimensions, department, culture, classification, public-domain image URLs and tags. Search by keyword or fetch by object id. As JSON, CSV or Excel. Free, no key.**

### 💵 Pricing

**Pay per result — about $0.50 / 1,000 input and $0.50 / 1,000 output.** No subscription, no proxy needed. You only pay for the data you scrape, and new Apify accounts include free monthly credits so you can test it for **$0**.

### 🔎 What can it extract?

- Title, artist, artist nationality, date
- Medium, dimensions, department, culture, classification
- **Public-domain flag** + full-size and thumbnail image URLs
- Credit line, accession number, subject tags
- Link to the object page on metmuseum.org

### 🚀 How do I use it?

1. Click **Try for free**.
2. Set the input (see example below).
3. Click **Start** and download results as JSON, CSV or Excel — or pull them via the API / schedule them.

### ⚙️ Input example

```json
{
  "mode": "search",
  "query": "sunflowers",
  "maxItems": 100
}
```

### 📦 Output example

```json
{
  "object_id": 436524,
  "title": "Sunflowers",
  "artist": "Vincent van Gogh",
  "date": "1887",
  "department": "European Paintings",
  "is_public_domain": true,
  "image": "https://images.metmuseum.org/...jpg",
  "url": "https://www.metmuseum.org/art/collection/search/436524"
}
```

### 🎯 Use cases

- Art & museum discovery apps
- Education and art-history teaching material
- Open image / metadata datasets
- **AI training** data (public-domain artwork + rich labels)

### 💰 How much will it cost?

You pay only the per-result price (no proxy cost):
100 → ~$0.10 · 1,000 → ~$1 · 10,000 → ~$10

### 🆚 Why this one

| Feature | This actor | Others |
|---|---|---|
| Search + fetch-by-id | ✅ | one only |
| Public-domain flag + image URLs | ✅ | partial |
| Tags, culture, classification | ✅ | rarely |
| No key needed | ✅ | sometimes |

### 🔗 Related actors

- [Wikipedia Scraper](https://apify.com/ninhothedev/wikipedia-scraper) — knowledge
- [MusicBrainz Scraper](https://apify.com/ninhothedev/musicbrainz-scraper) — music metadata
- [Open Library Book Scraper](https://apify.com/ninhothedev/open-library-book-scraper) — books
- [TVmaze TV Scraper](https://apify.com/ninhothedev/tvmaze-tv-scraper) — TV shows

### ❓ FAQ

**Key/proxy?** No. **Bulk?** Search returns thousands of ids; raise maxItems. **Only images?** Search is filtered to artworks that have images.

### 🛟 Support

Found a bug or need an extra field? Open an issue on the actor — fixes and new fields ship fast.

### Legal & privacy

Data via the public Metropolitan Museum of Art Collection API. Many images are released under Open Access (CC0 / public domain); check the `is_public_domain` flag before reuse.

***

**Keywords:** met museum scraper, metropolitan museum of art, artwork data, art metadata, public domain images, art datasets, AI training, JSON CSV Excel

# Actor input Schema

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

search (resolve a keyword query to object ids, then fetch each artwork) or objects (fetch a specific list of Met object ids).

## `query` (type: `string`):

Keyword to search the Met collection for (mode=search), e.g. an artist, subject or theme. Only artworks that have images are returned.

## `objectIds` (type: `array`):

Metropolitan Museum object ids to fetch directly (mode=objects), e.g. \[436524, 459123].

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

Maximum number of artworks to fetch. Object ids are capped to this value before fetching to control cost.

## Actor input object example

```json
{
  "mode": "search",
  "query": "sunflowers",
  "objectIds": [],
  "maxItems": 100
}
```

# Actor output Schema

## `artworks` (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 = {
    "query": "sunflowers",
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/met-museum-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 = {
    "query": "sunflowers",
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/met-museum-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 '{
  "query": "sunflowers",
  "maxItems": 100
}' |
apify call ninhothedev/met-museum-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ninhothedev/met-museum-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/LHCLElnm2CP4bMp7I/builds/ggsx5m3U8eWVF3qzA/openapi.json