Rightmove Sold House Properties Scraper

🏡 What is Rightmove Sold House Properties Scraper?

This Rightmove sold house properties Scraper will enable you scrape any sold property listing from rightmove.co.uk.

You can simply take your listing url from browser and enter it into this actor. This actor will crawl through all pages of particular listing and generate dataset for you.

Listing url is something you get when you perform the search on rightmove site. Example listing urls :

• https://www.rightmove.co.uk/house-prices/ab10.html
• https://www.rightmove.co.uk/house-prices/london-bridge-station.html
• https://www.rightmove.co.uk/house-prices/tn15/yopps-green.html

🚪 What can this Rightmove Sold House Properties Scraper do?

📈 Extract Rightmove sold history data listings on Rightmove

👀 This actor is not just scraper but also has monitoring capability. You can turn on monitoring mode and it will give you only newly sold properties compared to your previous scrapes.

⬇️ Download Rightmove real estate data in Excel, CSV, JSON, and other formats

📚 How do I start scraping with this scraper?

1. Register for your free Apify account here
2. You don't need to provide your credit card details for free account. Just click on "Get Started" button on above link and complete the registration only.
3. Free account comes with reasonable credits to try out this actor. This actor also comes with free trial of 3 days without any commitment/upfront charge.
4. Run this actor and verify the scraped data. Apify has huge integration possibilities. You can download the data or push the data into any 3rd party platform directly.

🌳 What Rightmove data can I extract using this tool?

📝	📝
Property Type	Full Address
Property URL	Features
Bathrooms	Bedrooms
Latitude	Longitude
Floorplans	Images
Past Transactions	Updated Date

📦 Additional Listing Data Fields

When available, the following fields from the property listing (listingData) are also included in the output when fullScrape is enabled:

Field	Description
id	Listing ID
channel	Listing channel (e.g., RES_BUY)
keyFeatures	Array of key features
bedrooms	Number of bedrooms
bathrooms	Number of bathrooms
propertySubType	Property sub-type (e.g., Terraced)
soldPropertyLastListed	Last listed date for the property
advertisedFrom	Date property was first advertised
advertisedTo	Date property was last advertised
status	Listing status (published/archived)
address	Address object (displayAddress, etc.)
images	Array of images with URLs and captions
floorplans	Array of floorplan images
streetView	Street view info (lat/lng, heading, etc.)
nearestStations	Array of nearest stations
sizings	Array of sizing info
listingHistory	Listing history object
soldPropertyInfoReelItems	Array of info reel items

These fields are appended to the output if available, providing richer property data for each result.

⬇️ Input

For simple use case, you just need to provide browser url of rightmove sold house prices page & that's all. You can leave other fields as they are to be sensible defaults.

Input example

{
    "listUrls": [
        {
            "url": "https://www.rightmove.co.uk/house-prices/ab10.html"
        }
    ],
    "fullAddress": "12, Street Name, London AB10 3AC",
    "fullScrape": true,
    "monitoringMode": false,
    "deduplicateAtTaskLevel": false
}

Understanding input options:

• fullAddress : If you want to search only a specific property, provide this input instead of a list url. Make sure the address is full starting with unit number, street name, xxxxx and ends with a post code like xxxx AB10 3AC. It will provide only a single matched output in that case.

• fullScrape : If you turn this setting on, it will take more time to scrape. However, it will fetch additional details like features, number of bathrooms, property sub type, images, floorplans and more. If you don't need these extra details, turning this off will run significantly faster and reduce cost.

• monitoringMode : This option when turned on will only scrape newly sold property listings compared to previously scraped properties by this actor. In case an existing property is sold again having a new transaction, it will appear again in the output.

• deduplicateAtTaskLevel : By default the scraper will deduplicate and monitor successive updates at account level. In case you have configured many tasks from this actor and you want de-duplication / successive updates at task level, enable this setting. Enabling this means that two different tasks are treated as two isolated scraping sessions when it comes to monitoring mode.

⬆️ Output

The scraped data is stored in the dataset of each run. The data can be viewed or downloaded in many popular formats, such as JSON, CSV, Excel, XML, RSS, and HTML.

Output example

{
	"id": "1229be73-9bef-421f-a8de-78382d56f358",
	"encId": "UXFcbWIb27vr9XiNEn6nRgvj9Duld3nd07o=",
	"source": "ROS",
	"referenceId": "17ABN09666",
	"property_type": "Detached",
	"address": "123, Gray Street, Aberdeen AB10 6JJ",
	"addressId": "91f902d6472c52edcf8b6a28f9d5e6d9",
	"country": "SCOTLAND",
	"deliveryPointId": 25416562,
	"uniqueAddressKey": "52553928|123|",
	"postcode": {
		"outcode": "AB10",
		"incode": "6JJ"
	},
	"detailUrl": "https://www.rightmove.co.uk/house-prices/details/1229be73-9bef-421f-a8de-78382d56f358",
	"latitude": 57.13131,
	"longitude": -2.11934,
	"transactions": [
		{
			"id": "7258792",
			"displayPrice": "£300,000",
			"price": 300000,
			"deedDate": "2025-06-17",
			"newBuild": false,
			"tenure": null,
			"percentageChange": 5,
			"displayDeedDate": "17 Jun 2025"
		},
		{
			"id": "91574400",
			"displayPrice": "£285,000",
			"price": 285000,
			"deedDate": "2017-05-09",
			"newBuild": false,
			"tenure": null,
			"percentageChange": null,
			"displayDeedDate": "09 May 2017"
		}
	],
	"processed_at": "2025-09-28T15:09:43.083Z",
	"listing": {
		"id": "4034887",
		"channel": "RES_BUY",
		"keyFeatures": [
			"Terraced Family Home",
			"Three Good Sized Bedrooms",
			"12'3 Lounge Area & 9'10 Dining Area",
			"10'4 Kitchen",
			"Bathroom With White Suite & Separate WC",
			"Gas Central Heating & Double Glazing",
			"Rear Garden",
			"Off-Street Parking",
			"No Forward Chain",
			"Sole Agents"
		],
		"bedrooms": 3,
		"bathrooms": null,
		"propertySubType": "Terraced",
		"soldPropertyLastListed": "March 2005",
		"advertisedFrom": "October 2004",
		"advertisedTo": "March 2005",
		"status": {
			"published": false,
			"archived": true
		},
		"address": {
			"displayAddress": "Swabey Road\r\nLangley\r\nBerkshire",
			"countryCode": "GB",
			"deliveryPointId": 82755877,
			"ukCountry": "England",
			"outcode": "SL3",
			"incode": "8NR"
		},
		"images": [
			{
				"url": "https://media.rightmove.co.uk/7k/6316/6316_SwabLang_IMG_01.jpg",
				"caption": "Front Elevation",
				"resizedImageUrls": {
					"size135x100": "https://media.rightmove.co.uk/dir/7k/6316/6316_SwabLang_IMG_01_max_135x100.jpg",
					"size476x317": "https://media.rightmove.co.uk/dir/7k/6316/6316_SwabLang_IMG_01_max_476x317.jpg",
					"size656x437": "https://media.rightmove.co.uk/dir/7k/6316/6316_SwabLang_IMG_01_max_656x437.jpg"
				}
			}
		],
		"floorplans": [],
		"streetView": {
			"heading": null,
			"pitch": null,
			"zoom": null,
			"latitude": 51.49957,
			"longitude": -0.54577
		},
		"nearestStations": [
			{
				"name": "Langley Station",
				"types": ["NATIONAL_TRAIN"],
				"distance": 0.6026128037702355,
				"unit": "miles"
			}
		],
		"sizings": [],
		"listingHistory": {
			"listingUpdateReason": ""
		},
		"soldPropertyInfoReelItems": [
			{
				"title": "PROPERTY TYPE",
				"type": "PROPERTY_TYPE",
				"primaryText": "Terraced",
				"secondaryText": "",
				"tooltipText": ""
			},
			{
				"title": "BEDROOMS",
				"type": "BEDROOMS",
				"primaryText": "3",
				"secondaryText": "",
				"tooltipText": ""
			}
		]
	}
}

❓ Limitations

Since Rightmove allows only 1000 properties per listing/search result, you might want to break down your listing urls into smaller areas if it has more than 1K results. Good news is that even if multiple list urls contain overlapping results, they will get deduplicated within the same run data.

💸 Pricing Model & Usage Logic

This actor uses a tiered pay-per-event pricing model, with usage tracked and charged based on the number of properties processed and additional multipliers. Charges are triggered at specific usage thresholds and events.

🟢 Charge Events & Tiers

The actor uses a tiered pricing model based on the number of properties processed. Each tier has a specific charge event and rate per 1,000 properties:

🔻 Cost Efficiency as You Scale: The tier-based pricing model is designed to reduce your cost per property as your usage increases. The more properties you process, the lower your per-unit cost becomes, helping keep your overall costs under control as you scale up to higher volumes.

Starter Tier (starter-tier-1K)

For the first 25,000 properties processed, the cost per 1,000 properties is $4 USD. This tier is ideal for small to medium jobs and ensures a low entry cost for initial usage.

Growth Tier (growth-tier-1K)

For properties processed from 25,000 up to 50,000 the cost per 1,000 properties drops to $3.5 USD. This tier rewards higher volume usage with a reduced rate, making it cost-effective for scaling up.

Scale Tier (scale-tier-1K)

For properties processed from 50,000 up to 100,000 the cost per 1,000 properties is $3 USD. This tier is designed for large-scale operations, offering further discounts as your volume increases.

Enterprise Tier (enterprise-tier-1K)

For properties processed above 100,000 the cost per 1,000 properties is $2 USD. This tier is for enterprise-level usage, providing the lowest rate for very high-volume processing.

Each charge event is triggered automatically as your processed property count crosses into the next tier. The actor tracks usage and applies the correct rate for each tier, ensuring transparent and predictable billing.

These pricing tiers are applied on a monthly basis, and your usage count resets at the start of each new month. This ensures you always start fresh and only pay for what you use each month.

Example:

• Scraping 200,000 properties in a month:
  • $4 per 1K properties for the first 25,000 properties ($100)
  • $3.5 per 1K properties up to 50,000 properties ($87.50)
  • $3 per 1K properties up to 100,000 properties ($150)
  • $2 per 1K properties above 100,000 properties ($200)
  • Total: $537.50

⚡ Additional Usage Parameters (Multipliers)

The actor may apply additional usage multipliers based on your input settings. These do not directly charge you extra, but they affect how quickly you use up your monthly quota. The more features you enable, the faster your included usage is consumed.

• 🌐 Residential Proxy Usage: If you use a residential proxy, an additional 5x usage multiplier will apply. This is due to the higher cost and complexity of residential proxy traffic.
• 🧠 Memory Usage: If you run the actor with more than 256 MB of memory, you will be charged an additional usage multiplier. For example, running at 512 MB will double your usage cost.
• 🔄 Monitoring Mode: Enabling monitoringMode adds 2 property count for retrieval of the tracked property and 4 property count as usage for storing and tracking a new property, as it requires additional logic and storage for incremental scraping.
• 🏷️ Full Scrape: Enabling fullScrape will increase your usage multiplier by 5x, as it requires scraping an additional detail page per property.
• 📄 Providing invalid URL: If you provide an invalid scraping url (not from rightmove.co.uk), it will cause 10x of your total per property usage for that configuration. Any failed request will cause 1x of your per property usage.

These multipliers are cumulative. For example, if you enable both fullScrape and use a residential proxy, your usage for each property will be multiplied by 11x (1 base + 5 fullScrape + 5 residential).

💡 Tip: This actor requires a minimum of 2 GB memory to run reliably with Puppeteer. The actor is optimised for this setting. Only increase memory if you are scraping very large volumes concurrently. Running below 2 GB may cause instability or crashes.

🤝 Related Actors

• Rightmove Scraper: Scrape sale/rent listings from rightmove.co.uk.
• Zoopla Scraper: Scrape property sale/rent listings, prices, and details from Zoopla.
• OnTheMarket Scraper: Scrape property sale/rent listings, prices, and details from OnTheMarket.
• Rightmove Full Address & House Number Finder: Find full addresses and house numbers for Rightmove listings.
• Rightmove Land Registry Full Address & House Number Finder: Get full address and house number using Land Registry data for Rightmove properties.
• Rightmove EPC Full Address Finder: Find EPC and full address details for Rightmove listings.
• Rightmove Commercial Scraper: Scrape commercial property listings from Rightmove.
• Rightmove Agents Scraper: Extract agent and agency details from Rightmove.
• Zoopla Sold Properties Scraper: Scrape sold property data from Zoopla.
• Zoopla Commercial Properties Scraper: Scrape commercial property listings from Zoopla.

🙋‍♀️ For custom solutions

In case you need some custom solution, you can contact me: dhrumil@techvasu.com

Or learn more about me on github: https://github.com/dhrumil4u360