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Onthemarket Scraper

A powerful scraper designed to collect detailed real estate listings from Onthemarket, including sale and rental properties across the UK. It automates full property extraction, monitors new listings, and helps identify delisted properties with high reliability and precision.

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Introduction

The Onthemarket Scraper extracts structured, high-quality real estate data from Onthemarket. It solves the challenge of collecting property listings at scale by providing automated crawling, incremental monitoring, and delisting detection. It’s built for analysts, property intelligence platforms, real estate companies, and developers who need reliable UK housing market data.

Why Use This Scraper?

  • Handles millions of property listings with stable pagination crawling.
  • Supports both full data extraction and incremental monitoring.
  • Automatically identifies newly added and delisted properties.
  • Produces clean, ready-to-use structured data.
  • Exports all data in multiple formats such as JSON, CSV, Excel, and more.

Features

Feature Description
Full Listings Scrape Crawls all pagination pages to collect complete data from any search results page.
Incremental Monitoring Detects only newly added listings when monitoring mode is enabled.
Delisting Tracker Tracks last-seen timestamps to identify properties that disappear from the platform.
Flexible Input Accepts both listing URLs and direct property URLs.
Deduplication Automatically removes overlapping results during a single run.
Multi-format Output Supports JSON, CSV, Excel, XML, and other standard export formats.

What Data This Scraper Extracts

Field Name Field Description
id Unique property identifier.
url URL of the property details page.
title Property listing title.
displayAddress Full display address.
locality Local area or neighborhood.
bathrooms Number of bathrooms.
bedrooms Number of bedrooms.
postcode Postal code.
agent Name of listing agent or agency.
agentPhone Contact number of agent or agency.
propertyType Category such as flat, house, semi-detached, etc.
price Primary listed price.
secondaryPrice Secondary or alternative pricing.
furnishing Furnishing status (furnished/unfurnished).
coordinates Latitude and longitude of the property.
type Sale or rent classification.
summary Short summary of the property.
features Key features or amenities list.
keyInfo Additional metadata such as taxes or fees.
description Full text property description.
descriptionHtml HTML formatted description.
images List of image URLs.
schools Nearby school details and distances.
listing date Date property was added.
size Property size where available.
reduced Whether the price was reduced.
daysSinceAdded Days since property first appeared.

Example Output

{
  "id": "11192001",
  "url": "https://www.onthemarket.com/details/11192001/",
  "title": "3 bedroom semi-detached house to rent",
  "displayAddress": "Morford Street, Bath",
  "locality": "Bath",
  "bathrooms": 3,
  "bedrooms": 3,
  "postcode": "W11 2L",
  "agent": "Wrights Residential - Trowbridge",
  "agentPhone": "01225 616858",
  "propertyType": "Semi-detached house",
  "price": "£2,220 pcm",
  "secondaryPrice": "£512 pw",
  "furnishing": "Unfurnished",
  "coordinates": { "latitude": 51.388222, "longitude": -2.36315 },
  "type": "rent",
  "summary": "PETS CONSIDERED! This three bedroom townhouse is situated within easy reach of Bath city centre...",
  "features": ["Garage", "Enclosed rear garden", "Open plan kitchen"],
  "keyInfo": [{ "title": "Council tax", "value": "Unconfirmed" }],
  "description": "Full detailed description text...",
  "descriptionHtml": "HTML formatted description...",
  "images": ["https://media.onthemarket.com/properties/..."],
  "schools": [
    { "name": "St Andrew's Church School", "distance": "0.2mi." }
  ]
}

Directory Structure Tree

Onthemarket Scraper/
├── src/
│   ├── main.js
│   ├── crawler/
│   │   ├── listingExtractor.js
│   │   ├── propertyExtractor.js
│   │   └── paginationHandler.js
│   ├── utils/
│   │   ├── dedupe.js
│   │   ├── monitor.js
│   │   └── delistingTracker.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample-listing.json
│   └── inputs.example.json
├── package.json
└── README.md

Use Cases

  • Real estate analysts use it to gather complete property datasets so they can track pricing trends and market shifts.
  • Property investment platforms use it to monitor new listings in specific regions to power buyer alerts.
  • Housing research teams use it to maintain up-to-date datasets for long-term studies of the UK housing market.
  • Developers & data engineers use it to automate structured data ingestion for downstream analytics pipelines.
  • Real estate agencies use it to benchmark competitors and inventory density in target localities.

FAQs

Q: Can it scrape more than 1,000 results from a single search page? A: Onthemarket limits each search to 1,000 results. To bypass this, break the search into smaller geographical queries; the scraper will deduplicate overlapping listings automatically.

Q: How does monitoring mode work? A: Monitoring mode compares current results to previous runs and returns only newly added listings—perfect for incremental updates.

Q: How can I detect delisted properties? A: The scraper tracks last-seen timestamps for each property. If a property hasn’t been updated in the latest run, it’s considered delisted.

Q: Do I need to provide both list URLs and property URLs? A: No. You can supply either search result URLs (listUrls) or direct property URLs (propertyUrls).


Performance Benchmarks and Results

Primary Metric: Processes an average of 3,000–5,000 listings per minute during full scrape mode under typical network conditions.

Reliability Metric: Maintains a 98%+ success rate in extracting complete property records across diverse regions and listing types.

Efficiency Metric: Optimized pagination handling reduces redundant requests, achieving up to 40% lower bandwidth usage compared to naïve crawlers.

Quality Metric: Delivers 99% field completeness for standard property attributes and high precision in location and pricing fields.

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