{"id":5389,"date":"2026-03-14T16:16:53","date_gmt":"2026-03-14T16:16:53","guid":{"rendered":"https:\/\/scraping-bot.io\/blogs\/how-to-scrape-real-estate-listings-on-rightmove\/"},"modified":"2026-04-20T17:05:55","modified_gmt":"2026-04-20T17:05:55","slug":"rightmove-scraper-python","status":"publish","type":"post","link":"https:\/\/scraping-bot.io\/blogs\/rightmove-scraper-python\/","title":{"rendered":"How to scrape real estate listings from Rightmove?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"5389\" class=\"elementor elementor-5389\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ec24077 e-con-full e-flex e-con e-parent\" data-id=\"ec24077\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d2729f4 elementor-widget elementor-widget-heading\" data-id=\"d2729f4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Rightmove Scraper<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d35d984 e-flex e-con-boxed e-con e-parent\" data-id=\"d35d984\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e6f2ec9 elementor-widget elementor-widget-html\" data-id=\"e6f2ec9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<article class=\"sb-article\">\r\n\r\n  <div class=\"sb-meta\">\r\n    <span class=\"sb-tag\">Web scraping<\/span>\r\n    <span class=\"sb-read-time\">8 min read &nbsp;\u00b7&nbsp; Published: 14\/01\/2020<\/span>\r\n  <\/div>\r\n\r\n  <p class=\"sb-intro\">Looking for a Rightmove scraper in Python? Rightmove is the first real estate platform in the UK, with over 800,000 active listings at any given time. This Rightmove scraper Python guide shows you how to extract structured property data at scale \u2014 both rental and purchase listings \u2014 using ScrapingBot's API.<\/p>\r\n\r\n  <div class=\"sb-toc\">\r\n    <p class=\"sb-toc-title\">Table of contents<\/p>\r\n    <ol>\r\n      <li><a href=\"#why-scrape\">Why scrape Rightmove?<\/a><\/li>\r\n      <li><a href=\"#challenges\">Technical challenges<\/a><\/li>\r\n      <li><a href=\"#scrapingbot\">How ScrapingBot handles them<\/a><\/li>\r\n      <li><a href=\"#step-by-step\">Step-by-step: build your Rightmove scraper in Python<\/a><\/li>\r\n      <li><a href=\"#rent\">Scraping rental listings<\/a><\/li>\r\n      <li><a href=\"#buy\">Scraping purchase listings<\/a><\/li>\r\n      <li><a href=\"#output\">UK-specific data formats<\/a><\/li>\r\n      <li><a href=\"#further\">Going further<\/a><\/li>\r\n    <\/ol>\r\n  <\/div>\r\n\r\n  <h2 id=\"why-scrape\">1. Why scrape Rightmove?<\/h2>\r\n  <p>The UK property market is one of the most active in Europe. Rightmove alone receives over 100 million visits per month. Scraping it gives you access to:<\/p>\r\n  <ul>\r\n    <li>Price trends by city, postcode, or neighborhood<\/li>\r\n    <li>Rental vs. purchase market comparisons across the UK<\/li>\r\n    <li>Agency and agent contact details<\/li>\r\n    <li>Publishing dates to spot negotiation opportunities on older listings<\/li>\r\n    <li>UK-specific data like weekly vs. monthly rental prices and bedroom counts<\/li>\r\n  <\/ul>\r\n  <p>We've already covered <a href=\"https:\/\/scraping-bot.io\/blogs\/how-to-scrape-real-estate-listings-from-funda\" rel=\"noopener\">scraping Funda in the Netherlands<\/a> and <a href=\"https:\/\/scraping-bot.io\/blogs\/how-to-scrape-real-estate-listings-from-zillow\" rel=\"noopener\">Zillow in the US<\/a> \u2014 Rightmove follows the same pattern but with UK-specific formats (GBP, bedrooms instead of surface area).<\/p>\r\n\r\n  <h2 id=\"challenges\">2. Technical challenges<\/h2>\r\n  <p>Rightmove uses several layers of protection that make straightforward scraping difficult:<\/p>\r\n  <ul>\r\n    <li><strong>Bot detection<\/strong> \u2014 Rightmove blocks headless browsers and suspicious request patterns.<\/li>\r\n    <li><strong>JavaScript rendering<\/strong> \u2014 Listing data is loaded dynamically and not present in the raw HTML.<\/li>\r\n    <li><strong>IP rate limiting<\/strong> \u2014 Repeated requests from the same IP trigger blocks quickly.<\/li>\r\n    <li><strong>Price format variations<\/strong> \u2014 Rental prices can be per week or per month, requiring normalization.<\/li>\r\n  <\/ul>\r\n\r\n  <h2 id=\"scrapingbot\">3. How ScrapingBot handles them<\/h2>\r\n  <p>ScrapingBot's Real Estate API handles all of this automatically: it rotates UK-based IPs, renders JavaScript fully, and returns clean structured JSON \u2014 whether you're scraping rental or purchase listings on Rightmove.<\/p>\r\n\r\n  <h2 id=\"step-by-step\">4. Step-by-step: build your Rightmove scraper in Python<\/h2>\r\n\r\n  <h3>Install the library<\/h3>\r\n  <pre><code>pip install requests<\/code><\/pre>\r\n\r\n  <h3>Basic setup<\/h3>\r\n  <pre><code>import requests\r\n\r\n# Your ScrapingBot credentials\r\nUSERNAME = \"your_username\"\r\nAPI_KEY  = \"your_api_key\"\r\n\r\ndef scrape_rightmove(url):\r\n    api_url = \"https:\/\/api.scraping-bot.io\/scrape\/real-estate\"\r\n    payload = {\"url\": url}\r\n\r\n    response = requests.post(\r\n        api_url,\r\n        json=payload,\r\n        auth=(USERNAME, API_KEY)\r\n    )\r\n\r\n    if response.status_code == 200:\r\n        return response.json()\r\n    else:\r\n        raise Exception(f\"Error {response.status_code}: {response.text}\")<\/code><\/pre>\r\n\r\n  <h2 id=\"rent\">5. Scraping rental listings<\/h2>\r\n  <p>Let's start with a rental listing in Hackney, London. Rightmove rental pages include the monthly or weekly rent, number of bedrooms, agency contact, and publishing date.<\/p>\r\n\r\n  <pre><code>import requests, time\r\n\r\n# Scrape rental listings in London\r\nRENTAL_URL = \"https:\/\/www.rightmove.co.uk\/property-to-rent\/find.html?locationIdentifier=REGION%5E87490\"\r\n\r\ndef scrape_rentals(n_pages=3):\r\n    results = []\r\n    for page in range(n_pages):\r\n        url = f\"{RENTAL_URL}&index={page * 24}\"\r\n        data = scrape_rightmove(url)\r\n        results.extend(data.get(\"listings\", []))\r\n        time.sleep(1)  # polite delay\r\n    return results\r\n\r\nrentals = scrape_rentals()\r\nprint(f\"Collected {len(rentals)} rental listings\")<\/code><\/pre>\r\n\r\n  <p>Here's what a typical rental listing returns:<\/p>\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Field<\/th><th>Example value<\/th><th>Type<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td>title<\/td><td>Studio flat to rent in Hackney, London<\/td><td>string<\/td><\/tr>\r\n      <tr><td>monthly_rent<\/td><td>\u00a31,450 pcm<\/td><td>string<\/td><\/tr>\r\n      <tr><td>weekly_rent<\/td><td>\u00a3335 pw<\/td><td>string<\/td><\/tr>\r\n      <tr><td>bedrooms<\/td><td>0 (studio)<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>agency<\/td><td>Foxtons Hackney<\/td><td>string<\/td><\/tr>\r\n      <tr><td>agency_phone<\/td><td>020 7000 0000<\/td><td>string<\/td><\/tr>\r\n      <tr><td>listing_date<\/td><td>2024-01-08<\/td><td>string<\/td><\/tr>\r\n      <tr><td>description<\/td><td>A well-presented studio flat...<\/td><td>string<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <h2 id=\"buy\">6. Scraping purchase listings<\/h2>\r\n  <p>For purchase listings, the structure is similar but includes the sale price and number of bedrooms \u2014 a key metric in UK property ads, where surface area in sqm is rarely specified.<\/p>\r\n\r\n  <pre><code># Scrape purchase listings in London\r\nBUY_URL = \"https:\/\/www.rightmove.co.uk\/property-for-sale\/find.html?locationIdentifier=REGION%5E87490\"\r\n\r\ndef scrape_purchases(n_pages=3):\r\n    results = []\r\n    for page in range(n_pages):\r\n        url = f\"{BUY_URL}&index={page * 24}\"\r\n        data = scrape_rightmove(url)\r\n        results.extend(data.get(\"listings\", []))\r\n        time.sleep(1)\r\n    return results\r\n\r\npurchases = scrape_purchases()\r\nprint(f\"Collected {len(purchases)} purchase listings\")<\/code><\/pre>\r\n\r\n  <p>Here's what a typical purchase listing returns:<\/p>\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr><th>Field<\/th><th>Example value<\/th><th>Type<\/th><\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td>title<\/td><td>3 bedroom house for sale in Hackney<\/td><td>string<\/td><\/tr>\r\n      <tr><td>price<\/td><td>\u00a3650,000<\/td><td>string<\/td><\/tr>\r\n      <tr><td>bedrooms<\/td><td>3<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>bathrooms<\/td><td>2<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>agency<\/td><td>Savills London<\/td><td>string<\/td><\/tr>\r\n      <tr><td>agency_phone<\/td><td>020 7000 1111<\/td><td>string<\/td><\/tr>\r\n      <tr><td>listing_date<\/td><td>2023-11-20<\/td><td>string<\/td><\/tr>\r\n      <tr><td>days_on_market<\/td><td>62<\/td><td>integer<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <h2 id=\"output\">7. UK-specific data formats<\/h2>\r\n  <p>One particularity of Rightmove compared to Funda or Zillow: UK listings rarely mention the total surface area in sqm. Instead, the number of bedrooms is the primary size indicator. Rental prices also come in two formats \u2014 per calendar month (pcm) and per week (pw) \u2014 so it's worth normalizing them before analysis:<\/p>\r\n\r\n  <pre><code>import pandas as pd\r\n\r\ndef normalize_rent(listings):\r\n    for listing in listings:\r\n        # Convert weekly rent to monthly if needed\r\n        if \"pw\" in listing.get(\"rent\", \"\"):\r\n            weekly = float(listing[\"rent\"].replace(\"\u00a3\",\"\").replace(\" pw\",\"\").replace(\",\",\"\"))\r\n            listing[\"monthly_rent_gbp\"] = round(weekly * 52 \/ 12, 2)\r\n        elif \"pcm\" in listing.get(\"rent\", \"\"):\r\n            monthly = float(listing[\"rent\"].replace(\"\u00a3\",\"\").replace(\" pcm\",\"\").replace(\",\",\"\"))\r\n            listing[\"monthly_rent_gbp\"] = monthly\r\n    return listings\r\n\r\ndf = pd.DataFrame(normalize_rent(rentals))\r\ndf.to_csv(\"rightmove_rentals.csv\", index=False)\r\nprint(df.head())<\/code><\/pre>\r\n\r\n  <h2 id=\"further\">8. Going further<\/h2>\r\n  <p>Once your Rightmove scraper Python script is running, you can combine it with Zillow and Funda data to build cross-market dashboards comparing UK, US, and Dutch property prices. Use <a href=\"https:\/\/pandas.pydata.org\/docs\/\" target=\"_blank\" rel=\"noopener\">pandas<\/a> for data normalization and schedule your scraper with a cron job to track price changes over time. ScrapingBot supports all three platforms with the same API interface.<\/p>\r\n\r\n  <div class=\"sb-cta\">\r\n    <p><strong>Ready to try it?<\/strong> Get 1,000 free API calls when you sign up for ScrapingBot.<\/p>\r\n    <a href=\"https:\/\/scraping-bot.io\/pricing\" class=\"sb-cta-btn\">Try ScrapingBot for free \u2192<\/a>\r\n  <\/div>\r\n\r\n<\/article>\r\n\r\n<style>\r\n.sb-article { max-width: 800px; margin: 0 auto; font-family: inherit; color: inherit; line-height: 1.7; }\r\n.sb-meta { display: flex; align-items: center; gap: 12px; margin-bottom: 1.5rem; flex-wrap: wrap; }\r\n.sb-tag { background: #e6f1fb; color: #185fa5; font-size: 12px; padding: 4px 12px; border-radius: 6px; font-weight: 500; }\r\n.sb-read-time { font-size: 13px; color: #888; }\r\n.sb-intro { font-size: 16px; border-left: 3px solid #378add; padding-left: 1rem; color: #444; margin-bottom: 2rem; }\r\n.sb-toc { background: #f8f8f8; border: 1px solid #e8e8e8; border-radius: 8px; padding: 1rem 1.5rem; margin-bottom: 2rem; }\r\n.sb-toc-title { font-size: 13px; font-weight: 600; color: #666; margin: 0 0 8px; text-transform: uppercase; letter-spacing: 0.05em; }\r\n.sb-toc ol { margin: 0; padding-left: 1.25rem; }\r\n.sb-toc li { font-size: 14px; padding: 3px 0; }\r\n.sb-toc a { color: #185fa5; text-decoration: none; }\r\n.sb-toc a:hover { text-decoration: underline; }\r\n.sb-article h2 { font-size: 22px; font-weight: 600; margin: 2.5rem 0 0.75rem; border-bottom: 1px solid #eee; padding-bottom: 0.5rem; }\r\n.sb-article h3 { font-size: 17px; font-weight: 600; margin: 1.5rem 0 0.5rem; }\r\n.sb-article p { margin: 0 0 1rem; }\r\n.sb-article ul, .sb-article ol { margin: 0 0 1rem; padding-left: 1.5rem; }\r\n.sb-article li { margin-bottom: 6px; }\r\n.sb-article pre { background: #1e1e1e; color: #d4d4d4; border-radius: 8px; padding: 1.25rem; overflow-x: auto; margin: 1rem 0 1.5rem; }\r\n.sb-article code { font-family: 'Courier New', monospace; font-size: 13px; line-height: 1.6; }\r\n.sb-table { width: 100%; border-collapse: collapse; margin: 1rem 0 1.5rem; font-size: 14px; }\r\n.sb-table th { text-align: left; padding: 10px 14px; background: #f4f4f4; font-weight: 600; border-bottom: 2px solid #ddd; }\r\n.sb-table td { padding: 10px 14px; border-bottom: 1px solid #eee; }\r\n.sb-table tr:last-child td { border-bottom: none; }\r\n.sb-cta { background: #e6f1fb; border: 1px solid #b5d4f4; border-radius: 10px; padding: 1.5rem; margin: 2.5rem 0 0; text-align: center; }\r\n.sb-cta p { margin: 0 0 1rem; font-size: 15px; }\r\n.sb-cta-btn { display: inline-block; background: #185fa5; color: white; padding: 10px 24px; border-radius: 6px; text-decoration: none; font-size: 14px; font-weight: 500; }\r\n.sb-cta-btn:hover { background: #0c447c; }\r\n<\/style>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Rightmove Scraper Web scraping 8 min read \u00a0\u00b7\u00a0 Published: 14\/01\/2020Looking for a Rightmove scraper in Python? Rightmove is the first real estate platform in the UK, with over 800,000 active listings at any given time. This Rightmove scraper Python guide shows you how to extract structured property data at scale \u2014 both rental and purchase [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":5418,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-5389","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-site-specific-scrapers"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Rightmove Scraper Python: Scrape UK Listings - Scraping-bot<\/title>\n<meta name=\"description\" content=\"Build a rightmove scraper python with ScrapingBot. 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