Savills Auction Data Scraper

This scraper collects detailed property information from Savills UK auction listings—both past and upcoming—and turns it into structured, analysis-ready data. It’s built to navigate auction result pages lot by lot, mimicking natural browsing while capturing every available detail. Whether you're analyzing the market, sourcing leads, or automating reporting, this tool keeps property data organized and easy to work with.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

This project extracts property lot information from any Savills auction results URL. It navigates sequentially through each lot page, gathering addresses, pricing, statuses, descriptions, and more. It’s ideal for real-estate analysts, investors, researchers, and automation-focused businesses looking to streamline property data collection.

What It Focuses On

• Scrapes full property details from Savills auction result pages.
• Handles both upcoming auctions and historical listings.
• Moves through lots automatically using next-lot navigation.
• Captures pricing, status, addresses, features, and descriptions.
• Provides clean structured datasets for pipelines or dashboards.

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Features

Feature	Description
Sequential Lot Navigation	Visits each lot page automatically via “Next Lot” traversal.
Comprehensive Data Extraction	Collects lot numbers, addresses, pricing, sell values, and descriptions.
Auction Scope Flexibility	Works on both future auction listings and past results.
Structured Output	Produces clean data ideal for analysis or automation tasks.
Robust Page Handling	Mimics human browsing to reduce missed data or navigation issues.
Direct Lot URL Capture	Stores the exact link for every scraped lot for reference.

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What Data This Scraper Extracts

Field Name	Field Description
lotNumber	The auction lot identifier.
auctionDate	The date the auction took place or is scheduled for.
addressLine1	First line of the property address.
addressLine2	Second line of the property address.
guidePrice	Listed guide price when available.
sellValue	Final achieved price for sold properties.
status	Outcome of the lot (sold, withdrawn, unsold, etc.).
features	List of highlighted features for the property.
description	Main descriptive text for the property.
additionalInfo	Supplementary details such as tenure or accommodation notes.
lotUrl	Direct URL to the individual lot page.

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Example Output

[
  {
    "lotNumber": "15",
    "auctionDate": "2024-09-12",
    "addressLine1": "12 High Street",
    "addressLine2": "Birmingham, B1",
    "guidePrice": "£120,000",
    "sellValue": "£138,500",
    "status": "Sold",
    "features": ["Freehold", "Two bedrooms", "Close to city centre"],
    "description": "A well-located terraced property suitable for investors.",
    "additionalInfo": "Accommodation over two floors; EPC rating D.",
    "lotUrl": "https://auctions.savills.co.uk/lot/12345"
  }
]

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Directory Structure Tree

Savills Auction Data Scraper/
├── src/
│   ├── main.js
│   ├── scraper/
│   │   ├── lot_parser.js
│   │   ├── navigation_handler.js
│   │   └── auction_page_loader.js
│   ├── utils/
│   │   ├── logger.js
│   │   └── formatters.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── example_input.json
│   └── sample_output.json
├── package.json
└── README.md

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Use Cases

• Investors use it to evaluate past auction outcomes and identify high-yield opportunities.
• Real-estate analysts use it to track pricing trends, sell-through rates, and market movement.
• Property researchers use it to build structured datasets for valuation studies.
• Automation teams feed the data into CRMs or data warehouses for streamlined reporting.
• Lead-generation companies use it to identify properties meeting specific investment criteria.

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FAQs

Does it work with both past and future auctions?
Yes. It can scrape upcoming listings and historical results from any valid Savills auction URL.

Do I need multiple URLs?
No. A single auction results page is enough—the scraper navigates through every lot automatically.

What happens if a lot has missing data?
The scraper continues processing and includes all available fields without interruption.

Is the scraping process fast?
It navigates efficiently while mimicking human interaction to reduce the chance of navigation errors or data loss.

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Performance Benchmarks and Results

Primary Metric:
Processes 30–50 property lots per minute depending on page complexity and network conditions.

Reliability Metric:
Maintains a success rate above 95% in multi-lot auctions thanks to controlled navigation.

Efficiency Metric:
Loads only necessary pages and reuses sessions to minimize overhead.

Quality Metric:
Produces consistently complete records with accurate parsing of guide prices, sell values, and structured descriptions.

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