Rightmove Scraper: Export Property Data in 2026
If you are comparing UK property supply, a Rightmove scraper helps property investors, agents, and analysts turn Rightmove search results into a spreadsheet. Instead of copying property titles, prices, addresses, bedrooms, agent names, image URLs, and listing URLs one by one, you can export the visible cards into a dataset for comp analysis, rental research, or agent prospecting.
A browser-native Rightmove data scraper is useful when you are checking comparable properties, rental supply, price bands, agent coverage, or newly added listings. Rightmove pages are filter-driven and visual, so the practical workflow is to set the exact search you care about, review the cards in Chrome, and export the fields you need.
Turn a Rightmove search into a property comp table
Open a Rightmove search, apply sale or rental filters, and export visible property cards to CSV for price bands, bedroom mix, agent coverage, and local supply analysis.
Add to Chrome - Free ->What Is a Rightmove Scraper?
A Rightmove scraper is a tool for turning filtered UK property searches into structured market-research tables. Investors, agents, analysts, and property operators use it to compare price bands, bedroom mix, agent coverage, listing freshness, and sale or rental supply across a specific area.
Rightmove is useful because it mirrors the way property teams actually research a market: location, price, bedrooms, property type, sale or rent, and added date. A scrape captures that filtered view so you can sort, compare, and revisit the same market snapshot later. For the broader property workflow, use the real estate scraper guide, the Zillow scraper guide, and Clura templates for nearby travel and property sources.
- Property title and listing URL
- Asking price or monthly rent
- Address or area text
- Bedrooms, bathrooms, and property type
- Estate agent name
- Image URL or thumbnail
- Added date and visible tags
How Do You Scrape Rightmove Without Code?
To scrape Rightmove without code, open a Rightmove search page in Chrome, apply location, price, bedroom, and property-type filters, run Clura, select the repeated property cards, confirm pagination, and export to CSV. The workflow takes about 2-5 minutes once your filters are set.
- Open a Rightmove search. Choose sale or rent, location, radius, price range, bedrooms, and property type.
- Let the page render. Confirm the visible listing cards match the market slice you want.
- Run Clura in Chrome. Select the repeated property card pattern.
- Keep property fields. Export title, price, address, agent, image, status, and listing URL.
- Confirm pagination. Collect page 2 and beyond into the same dataset.
- Export CSV. Use the file for comp analysis, agent research, or market tracking.
Scrape the Rightmove search you already filtered
Use Clura on the live Rightmove result page, then connect the export to the broader property listing scraper workflow for real-estate research.
Add to Chrome - Free ->Should You Use Python or a Chrome Extension for Rightmove?
Use a Chrome extension for Rightmove when you need a quick CSV from a filtered search. Setup takes about 2 minutes and the browser already renders the property cards. Use Playwright only for scheduled recurring monitoring, because it needs selector maintenance, pacing, and error handling.
| Method | Block / Failure Rate | Setup Time | Typical Cost | Best For |
|---|---|---|---|---|
| Clura Chrome extension | ~4-6% | 2-5 min | Free / $29.99 lifetime | Filtered Rightmove exports |
| Playwright + selectors | ~12-20% | 4-8 hours | $0-100/mo infra | Scheduled UK property monitoring |
| Apify-style actors | ~20-30% | 30-60 min | $49/mo+ | Managed cloud runs |
| Python requests | ~80-90% failure | 30 min (fails) | Free | Learning only |
Rightmove result cards are dynamic and pagination can change by search context. A browser-native tool avoids the empty-row problem described in the dynamic websites guide and keeps the workflow closer to what an analyst sees on screen.
For recurring price snapshots, borrow the same discipline from the price scraper guide: save the source URL, search filters, date, and export timestamp so every weekly scrape is comparable.
What Can You Use Rightmove Scraped Data For?
Rightmove scraped data is useful for UK property comp analysis, rental price tracking, estate-agent lead research, neighborhood supply reports, and market-entry research. The value is the structured market view: one table that shows price, bedrooms, property type, agent, area, listing date, and source URL.
Property comp analysis
Export a narrow search and sort by bedrooms, property type, price, and added date. This gives investors and analysts a clean comparable set instead of a manual spreadsheet built from screenshots.
Rental supply and market-entry tracking
Operators can export the same search weekly to see whether supply is rising, whether specific bedroom counts are scarce, and which price bands move fastest. That makes the dataset useful for acquisition, pricing, and local market-entry decisions.
Estate-agent and vendor research
Agent names and listing URLs can become a prospecting dataset. For the lead workflow after extraction, use the lead scraper guide and the free website contact scraper to find public contact pages and emails from agency websites.
Frequently Asked Questions
Can Rightmove listings be scraped?
Yes. Rightmove listing data that is publicly visible in your browser can be scraped into CSV, including title, price, address or area text, bedroom count, agent, image URL, and listing URL. Avoid private account data and do not bypass access controls.
What is a Rightmove data scraper?
A Rightmove data scraper extracts repeated property-card fields from Rightmove search pages and exports them into a structured table. It is commonly used for property comps, rental analysis, agent research, and local market tracking.
Can I scrape Rightmove with Python?
You can scrape Rightmove with Python, but raw requests often miss dynamic fields and pagination behavior. Playwright is more reliable, but it requires selector maintenance and retry logic when pages change.
Is scraping Rightmove legal?
Scraping publicly visible Rightmove data may be permissible in many places, but Rightmove's terms can restrict automated access. Keep volume low, respect platform rules, avoid personal/private data, and get legal advice for commercial-scale use.
Can I scrape Rightmove rental listings?
Yes. If rental listings are visible in the search results, Clura can export rent, area, property type, bedrooms, agent, image URL, and listing URL fields into CSV.
Does Clura have a dedicated Rightmove template?
Clura does not currently need a dedicated Rightmove template for simple exports. Use the general AI web scraper workflow on a filtered Rightmove search, or start from the broader real-estate scraping workflow.
Conclusion
Rightmove scraping is a focused property-research job: filter first, scrape the visible listings, and keep the source URL with every export.
Use Clura for fast filtered exports and Playwright only when the collection needs to run on a recurring schedule with engineering support.
Explore related guides:
- Real Estate Scraper Guide — Extract property listing data across marketplaces and regions.
- Zillow Scraper Guide — The US property-listing workflow closest to Rightmove scraping.
- Airbnb Scraper Guide — Short-term rental listing exports for travel and property research.
- Scrape Dynamic Websites — How to handle JavaScript-rendered listings.
- Price Scraper Guide — Build repeatable price snapshots from visible listings.
- Lead Scraper Guide — Turn property-agent websites into prospecting datasets.
Export Rightmove listings to CSV in minutes
Open a Rightmove search in Chrome, run Clura, review the property fields, and export listings, prices, agents, images, and URLs without code.
Add to Chrome - Free ->