# Bonhams Auctions Scraper (`parseforge/bonhams-auctions-scraper`) Actor

Scrape Bonhams auction lots, estimates, and results. Pull lot images, descriptions, estimates, hammer prices, sale dates, and categories from bonhams.com. Export CSV, Excel, JSON, XML.

- **URL**: https://apify.com/parseforge/bonhams-auctions-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $19.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 🏛️ Bonhams Auctions Scraper

> 🚀 **Export Bonhams auction lots, estimates, and results in seconds - straight to CSV, Excel, JSON, XML.**

The Bonhams Auctions Scraper turns the public [bonhams.com](https://www.bonhams.com) data into a clean, structured dataset - directly to CSV, Excel, JSON, JSONL, XML, RSS, or HTML.

| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| 📊 Data analysts | Bulk export and analysis |
| 🏢 Business teams | Lead enrichment, market research |
| 🤖 ML / AI teams | Build training datasets |
| 📰 Journalists | Investigative data sourcing |
| 🧑‍💻 Developers | Mirror upstream data into your DB |
| 🎓 Researchers | Academic and policy research |

### 📋 What this scraper does

- Connects to bonhams.com's public endpoint.
- Walks listings or detail pages, parsing structured data.
- Applies filters from the input schema before pushing rows.
- Caps free-tier runs at 10 items; paid users can go up to 1,000,000.
- Exports clean rows ready for CSV, Excel, JSON, XML, RSS, or HTML.

> 💡 **Why it matters:** bonhams.com doesn't ship a public bulk-export. This actor closes that gap - one click, one dataset, one schema.

### 📊 Data fields

Each record includes: `department`, `description`, `estimate`, `hammerPrice`, `imageUrl`, `lotNumber`, `results`, `saleDate`, `saleTitle`, `scrapedAt`, `title`, `url`. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

> ⚠️ **Good to Know:** Source coverage and field availability depend on what bonhams.com surfaces publicly at the time of the run. Some fields may be `null` for records where the source omits them.

### 🚀 How to use

1. Click **Try for free**.
2. Adjust the input fields (or leave defaults).
3. Click **Start** and download your dataset.

### 🔗 Recommended Actors

| Actor | What it does |
|---|---|
| [ParseForge Alpha Vantage Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Public market data. |
| [ParseForge CurseForge Mods Scraper](https://apify.com/parseforge/curseforge-mods-scraper) | Mod metadata. |
| [ParseForge Yahoo Finance Scraper](https://apify.com/parseforge) | Equities and indices. |
| [ParseForge OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database. |

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production-grade scrapers.

**Disclaimer:** This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by bonhams.com. Users are responsible for complying with the source's terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp).

### 🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our [contact form](https://tally.so/r/BzdKgA) or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our [Discord](https://parseforge.co/discord). It's the best place to get support and suggest new actors.

# Actor input Schema

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

Free-text search across Bonhams lots (e.g. "Rolex", "Picasso", "Ferrari").

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

Maximum number of lots to collect per run.

## Actor input object example

```json
{
  "searchQuery": "Rolex",
  "maxItems": 10
}
```

# 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 = {
    "searchQuery": "Rolex",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/bonhams-auctions-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 = {
    "searchQuery": "Rolex",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/bonhams-auctions-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQuery": "Rolex",
  "maxItems": 10
}' |
apify call parseforge/bonhams-auctions-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/bonhams-auctions-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/mjbyWij4m3TXNWrEQ/builds/xevF48zEgA3A9Iyjw/openapi.json