Extract Property Listings from Rightmove

What Data Can Be Scraped From Rightmove?

Rightmove is one of the largest real estate marketplaces, making it a valuable property data source. By scraping Rightmove, you can extract key details such as:

• Property Prices – Get real-time property price listings.
• Property Type – Identify whether a listing is a house, apartment, penthouse, etc.
• Location – Extract the exact address or area of the property.
• Number of Bedrooms & Bathrooms – Gather essential property specifications.
• Agent Information – Collect details about the real estate agent handling the property.
• Property Descriptions – Retrieve listing descriptions for additional context.
• Images & Links – Capture URLs of images and links to the property details page.

How It Works?

Getting started with Mrscraper’s ScrapeGPT is simple and user-friendly. Just follow these steps:

1. Create Your Account: Sign up or log in to your account on MrScraper. It’s quick, easy, and free to get started.

2. Initiate Scraping: On the homepage, select “New ScrapeGPT” and paste the Rightmove URL you wish to scrape.

3. Process the Page: Let ScrapeGPT process the selected page. The tool will analyze the page to identify and extract relevant data.

4. Enter a Prompt: Type in your prompt, such as “Get all the data”, and ScrapeGPT will handle the rest seamlessly.

5. Download Your Data: Once the scraping is complete, download the data in your preferred format—JSON or CSV—for easy analysis and integration into your workflow.

Input Url

https://www.rightmove.co.uk/property-for-sale/find.html?searchLocation=London&useLocationIdentifier=true&locationIdentifier=REGION%5E87490&radius=20.0&minPrice=240000&_includeSSTC=on

Sample Output

The data extracted can be provided in JSON or CSV formats, ensuring compatibility with your workflow. For example:

Sample Output (JSON)

[
    {
        "price": "£475,000",
        "property_type": "Semi-Detached House",
        "location": "Green Close, Epping Green",
        "bedrooms": 3,
        "bathrooms": 1,
        "description": "A three bedroom, semi-detached, family home situated in the popular and semi-rural village of Epping Green. Available with no onward chain.",
        "agent": "Millers Estate Agents, Epping"
    },
    {
        "price": "£80,000,000",
        "property_type": "Penthouse",
        "location": "The Knightsbridge Apartments, 199 Knightsbridge, London, SW7",
        "bedrooms": 5,
        "bathrooms": 5,
        "description": "A once in a lifetime opportunity to own one of the most extraordinary properties in London. A Penthouse measuring approximately 9,500 sq.ft. with panoramic views across London.",
        "agent": "Park Lord, London"
    },
    {
        "price": "£60,000,000",
        "property_type": "Apartment",
        "location": "One Hyde Park, Knightsbridge",
        "bedrooms": 5,
        "bathrooms": 5,
        "description": "An exceptional exclusive five bedroom apartment for sale in this much sought after development in Knightsbridge.",
        "agent": "Global 1, London"
    },
    {
        "price": "£59,950,000",
        "property_type": "House",
        "location": "Avenue Road, St John's Wood, London, NW8",
        "bedrooms": 10,
        "bathrooms": 8,
        "description": "Striking family home in the heart of St John's Wood.",
        "agent": "United Kingdom Sotheby's International Realty"
    }
]

Sample Output (CSV)

Price	Property Type	Location	Bedrooms	Bathrooms	Description	Agent
£475,000	Semi-Detached House	Green Close, Epping Green	3	1	A three-bedroom, semi-detached family home in Epping Green. No onward chain.	Millers Estate Agents, Epping
£80,000,000	Penthouse	The Knightsbridge Apartments, 199 Knightsbridge, London, SW7	5	5	A once-in-a-lifetime opportunity to own a 9,500 sq.ft. penthouse with panoramic London views.	Park Lord, London
£60,000,000	Apartment	One Hyde Park, Knightsbridge	5	5	An exclusive five-bedroom apartment in a sought-after Knightsbridge development.	Global 1, London
£59,950,000	House	Avenue Road, St John's Wood, London, NW8	10	8	Striking family home in the heart of St John's Wood.	United Kingdom Sotheby's International Realty

Conclusion

Scraping Rightmove allows you to access valuable real estate data for market research, pricing analysis, and investment opportunities. Using Mrscraper, you can automate the extraction process while ensuring efficiency and accuracy. Whether you're a real estate analyst, investor, or researcher, web scraping provides the insights needed to stay ahead in the property market.

Frequently Asked Questions

What data can you extract from Rightmove property listing search results?

Scraping Rightmove search result pages lets you extract asking prices, property types (house, apartment, penthouse, etc.), full addresses, bedroom and bathroom counts, listing descriptions, agent names and branches, and image URLs — all in bulk from a single search query. This gives you a structured market snapshot across any location and price range.

Can I scrape multiple pages of Rightmove search results at once?

Yes, a Rightmove listings scraper can be configured to paginate through multiple pages of search results automatically, collecting all listings that match your filters. This is far faster than manual browsing but increases the risk of detection and blocking, since Rightmove actively monitors for high-volume or pattern-based automated requests.

How do I scrape Rightmove listings filtered by price, location, or property type?

Rightmove encodes search filters directly into the URL — including location, minimum price, radius, and property type parameters. You can construct a filtered search URL and pass it to MrScraper's ScrapeGPT to extract only the listings that match your criteria, rather than scraping the entire site. This makes targeted market research much more efficient.

How do I extract Rightmove property listings using MrScraper?

To extract Rightmove property listings with MrScraper, sign up for a free account, select "New ScrapeGPT," paste your Rightmove search results URL (with filters applied), and enter a prompt like "Get all the data." ScrapeGPT processes the listing cards and extracts structured data, downloadable as JSON or CSV.

What format is Rightmove property listing data exported in?

Rightmove listing data from MrScraper is available in JSON or CSV. JSON stores each listing as a structured object with nested fields for price, property type, location, bedrooms, bathrooms, description, and agent. CSV is better suited for importing into spreadsheets or BI tools to filter, sort, and visualize listings across a given area.

Can I use a Rightmove listings scraper for real-time property price tracking?

Yes, scheduling regular scrapes of the same Rightmove search URL lets you track asking price changes, new listings entering the market, and listings that drop out (sold or withdrawn) over time. This price-monitoring use case is valuable for buyers, investors, and analysts watching specific postcodes or price bands in the UK property market.

What is the difference between scraping Rightmove listing pages and detail pages?

Rightmove listing (search results) pages return summary cards: price, property type, location, bedrooms, and agent per listing — ideal for bulk market scanning. Detail pages contain richer data per property: EPC ratings, tenure type, mortgage estimates, full amenity lists, and brochure links. Use listing scrapes for market overviews and detail scrapes for deep-dive analysis on specific properties.

Can I scrape Rightmove property images and agent details from search results?

Yes, Rightmove search result cards include image URLs and agent names which a listings scraper can capture. Note that image URLs point to Rightmove's CDN and are subject to copyright — they can be referenced but should not be redistributed without permission. Agent name and branch are publicly visible and typically safe to collect for research purposes.

What are the best use cases for extracting Rightmove property listings in bulk?

Bulk extraction of Rightmove listings is most valuable for property market analysis, investment opportunity screening, automated valuation model training, rental yield benchmarking, and real estate dashboard development. Analysts monitor supply levels by postcode; investors filter for below-market listings by bedroom count and price; proptech teams use bulk data to power search and comparison features.