# Historics Scraper — Brooklands & Ascot Auctions (`rastriq/historics-scraper`) Actor

Scrape classic car auction results from Historics at Brooklands, a leading UK specialist auctioneer. Extract lot details, hammer prices, estimates, brand, model, year, and images.

- **URL**: https://apify.com/rastriq/historics-scraper.md
- **Developed by:** [Rastriq — Structured data from the world](https://apify.com/rastriq) (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 $2.00 / 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/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

## Historics Scraper — Brooklands & Ascot Auctions

Scrape auction results from [Historics at Brooklands](https://historics.co.uk) on the Apify platform. Extract structured data including price, make, model, year, estimates, lot details, and sale status.

### What data can you scrape from Historics at Brooklands?

This actor extracts the following data from every lot:

| Field | Description |
|-------|-------------|
| `id` | Id |
| `url` | Url |
| `title` | Title |
| `brand` | Brand |
| `model` | Model |
| `model_year` | Model Year |
| `price` | Price |
| `price_currency` | Price Currency |
| `estimate_low` | Estimate Low |
| `estimate_high` | Estimate High |
| `auction_name` | Auction Name |
| `lot_number` | Lot Number |
| `sold` | Sold |
| `image_url` | Image Url |
| `scraped_at` | Scraped At |

### Output: Historics at Brooklands data structure

Each lot is returned as a JSON object:

```json
{
  "id": "historics-890",
  "url": "https://www.historics.co.uk/buying/auctions/lot/890",
  "title": "1955 Bentley S1 Continental",
  "brand": "Bentley",
  "model": "S1 Continental",
  "model_year": 1955,
  "price": 185000,
  "price_currency": "GBP",
  "estimate_low": 160000,
  "estimate_high": 200000,
  "auction_name": "Brooklands Winter Sale",
  "lot_number": "67",
  "sold": true,
  "image_url": "https://www.historics.co.uk/media/example.jpg",
  "scraped_at": "2025-03-22T13:45:00Z"
}
```

### Quick start

1. Go to the [historics-scraper](https://apify.com/rastriq/historics-scraper) actor page on Apify.
2. Click **Try for free** to open the input form.
3. Set a **make** (e.g. `bentley`) and keep **max results** at 20 for a test run.
4. Click **Save & Run** and wait for the results.
5. Download your data as JSON, CSV, or Excel, or connect via API.

### Input options

| Parameter | Description | Default |
|-----------|-------------|---------|
| `make` | Brand/make filter | `""` (all) |
| `year_min` | Earliest model year | (none) |
| `year_max` | Latest model year | (none) |
| `max_items` | Maximum results to return | `200` |
| `max_pages` | Maximum pages to process | (unlimited) |
| `proxyConfiguration` | Apify proxy settings | Residential |

### How it works

The scraper uses HTML parsing (Bidpath/GoAuction platform) to extract auction results from Historics at Brooklands. It respects rate limits and uses proxy rotation to ensure reliable data collection.

**Auction data:** The scraper captures both upcoming lots (with estimates) and past results (with hammer prices and sold/unsold status).

### Cost of usage

\~$0.30 per 100 lots using datacenter proxy. A typical run extracting 100 lots takes under 60 seconds and costs a few cents in Apify platform credits.

**Tip:** Start with `max_items: 20` for testing. Scale up once you have confirmed the output meets your needs.

### Integrations & scheduling

- **API access:** Retrieve results programmatically via the [Apify API](https://docs.apify.com/api/v2).
- **Webhooks:** Get notified when a run completes.
- **Scheduling:** Set up recurring runs (daily, weekly) from the Apify console.
- **Integrations:** Connect to Google Sheets, Slack, Zapier, Make, and more.

### Legal disclaimer

This actor is provided for **personal and research use**. Scraping is subject to the target website's Terms of Service. The user is solely responsible for ensuring compliance with applicable laws and the website's robots.txt and ToS. Rastriq does not endorse scraping for purposes that violate any website's terms.

### FAQ

**Q: How often is the data updated?**
A: The actor scrapes live data on every run. Schedule runs as frequently as you need.

**Q: Can I filter by specific models?**
A: Currently the actor supports make-level filtering. Model-level filtering can be done post-scrape by filtering the output dataset.

**Q: What proxy should I use?**
A: Residential proxies are recommended for best reliability. The default configuration uses Apify's residential proxy pool.

### Related Actors from Rastriq

- [Car and Classic Scraper](https://apify.com/rastriq/carandclassic-scraper) - Europe's largest classic car marketplace
- [Classic-Trader Scraper](https://apify.com/rastriq/classic-trader-scraper) - Premium European collector vehicles
- [Collecting Cars Scraper](https://apify.com/rastriq/collecting-cars-scraper) - Online classic car auctions
- [Autoscout24 Scraper](https://apify.com/rastriq/autoscout24-scraper) - Europe's largest car marketplace
- [Wallapop Cars Scraper](https://apify.com/rastriq/wallapop-cars-scraper) - Spanish secondhand car marketplace

# Actor input Schema

## `make` (type: `string`):

Car make to search for (e.g. <code>bentley</code>). Leave empty to scrape all makes.

## `year_min` (type: `integer`):

<b>Earliest model year</b> to include. Leave empty for no lower bound.

## `year_max` (type: `integer`):

<b>Latest model year</b> to include. Leave empty for no upper bound.

## `max_items` (type: `integer`):

Maximum total items to return. Start with <b>20</b> for testing.

## `max_pages` (type: `integer`):

Maximum sales to process. Leave empty for unlimited.

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

HTTP proxy. <b>Residential proxies</b> recommended.

## Actor input object example

```json
{
  "make": "bentley",
  "max_items": 20,
  "max_pages": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "make": "bentley",
    "max_items": 20,
    "max_pages": 3,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("rastriq/historics-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 = {
    "make": "bentley",
    "max_items": 20,
    "max_pages": 3,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("rastriq/historics-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 '{
  "make": "bentley",
  "max_items": 20,
  "max_pages": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call rastriq/historics-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/WIH0bfbf8HdsZ4Et6/builds/q1GJeP5r7st7M49lP/openapi.json