{"id":5388,"date":"2026-04-18T16:28:00","date_gmt":"2026-04-18T16:28:00","guid":{"rendered":"https:\/\/scraping-bot.io\/blogs\/how-to-scrape-real-estate-listings-on-funda\/"},"modified":"2026-04-22T17:38:05","modified_gmt":"2026-04-22T17:38:05","slug":"funda-scraper-python","status":"publish","type":"post","link":"https:\/\/scraping-bot.io\/blogs\/funda-scraper-python\/","title":{"rendered":"How to Scrape Funda Real Estate Listings with Python?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"5388\" class=\"elementor elementor-5388\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4d4aaaf e-flex e-con-boxed e-con e-parent\" data-id=\"4d4aaaf\" 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-11a561e elementor-widget elementor-widget-html\" data-id=\"11a561e\" 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: 23\/02\/2023<\/span>\r\n  <\/div>\r\n\r\n  <p class=\"sb-intro\">Looking for a Funda scraper in Python? The Dutch real estate market moves fast. Whether you're tracking price trends, monitoring competitor listings, or building a data pipeline, this Funda scraper Python guide shows you how to get structured property data at scale 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 Funda?<\/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 Funda scraper in Python<\/a><\/li>\r\n      <li><a href=\"#output\">Sample output data<\/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 Funda?<\/h2>\r\n  <p>Funda is the first real estate platform in the Netherlands, with over 30,000 active listings at any given time. It's used by buyers, sellers, agents, and investors alike. Scraping it gives you access to:<\/p>\r\n  <ul>\r\n    <li>Price history and market trends by neighborhood<\/li>\r\n    <li>Listing density and time-on-market data<\/li>\r\n    <li>Rental vs. sale inventory ratios<\/li>\r\n    <li>Competitor agent activity<\/li>\r\n  <\/ul>\r\n\r\n  <h2 id=\"challenges\">2. Technical challenges<\/h2>\r\n  <p>Before diving into the code, it's important to understand why scraping Funda isn't as simple as a basic HTTP request:<\/p>\r\n  <ul>\r\n    <li><strong>Anti-bot protection<\/strong> \u2014 Funda detects headless browsers and blocks requests with suspicious headers.<\/li>\r\n    <li><strong>JavaScript rendering<\/strong> \u2014 Listing data is loaded dynamically, so basic HTTP requests won't capture it.<\/li>\r\n    <li><strong>IP rate limiting<\/strong> \u2014 Too many requests from one IP triggers temporary bans.<\/li>\r\n    <li><strong>Pagination<\/strong> \u2014 Search results span hundreds of pages that need systematic traversal.<\/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 abstracts all of this complexity: it rotates IPs automatically, renders JavaScript, and returns clean structured JSON \u2014 no browser automation needed on your end.<\/p>\r\n\r\n  <h2 id=\"step-by-step\">4. Step-by-step: build your Funda 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 request<\/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\n# The Funda listing you want to scrape\r\nTARGET_URL = \"https:\/\/www.funda.nl\/koop\/amsterdam\/huis-12345678\/\"\r\n\r\ndef scrape_funda(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}\")\r\n\r\ndata = scrape_funda(TARGET_URL)\r\nprint(data)<\/code><\/pre>\r\n\r\n  <h3>Scraping multiple listings (with pagination)<\/h3>\r\n  <pre><code>import requests, time\r\n\r\nBASE_SEARCH = \"https:\/\/www.funda.nl\/koop\/amsterdam\/p{page}\/\"\r\n\r\ndef scrape_pages(n_pages=5):\r\n    results = []\r\n    for page in range(1, n_pages + 1):\r\n        url = BASE_SEARCH.format(page=page)\r\n        data = scrape_funda(url)\r\n        results.extend(data.get(\"listings\", []))\r\n        time.sleep(1)  # polite delay\r\n    return results\r\n\r\nlistings = scrape_pages(n_pages=3)\r\nprint(f\"Collected {len(listings)} listings\")<\/code><\/pre>\r\n\r\n  <h2 id=\"output\">5. Sample output data<\/h2>\r\n  <p>Here's what a typical response looks like for a single Funda listing:<\/p>\r\n\r\n  <table class=\"sb-table\">\r\n    <thead>\r\n      <tr>\r\n        <th>Field<\/th>\r\n        <th>Example value<\/th>\r\n        <th>Type<\/th>\r\n      <\/tr>\r\n    <\/thead>\r\n    <tbody>\r\n      <tr><td>address<\/td><td>Keizersgracht 123, Amsterdam<\/td><td>string<\/td><\/tr>\r\n      <tr><td>price<\/td><td>\u20ac 875,000<\/td><td>string<\/td><\/tr>\r\n      <tr><td>price_per_m2<\/td><td>\u20ac 7,291<\/td><td>string<\/td><\/tr>\r\n      <tr><td>surface_m2<\/td><td>120<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>rooms<\/td><td>4<\/td><td>integer<\/td><\/tr>\r\n      <tr><td>listing_date<\/td><td>2023-02-10<\/td><td>string<\/td><\/tr>\r\n      <tr><td>energy_label<\/td><td>B<\/td><td>string<\/td><\/tr>\r\n      <tr><td>agent<\/td><td>Makelaar Amsterdam BV<\/td><td>string<\/td><\/tr>\r\n    <\/tbody>\r\n  <\/table>\r\n\r\n  <h2 id=\"further\">6. Going further<\/h2>\r\n  <p>Once you have the raw data from your Funda scraper Python script, you can pipe it into a CSV with <a href=\"https:\/\/pandas.pydata.org\/docs\/\" target=\"_blank\" rel=\"noopener\">pandas<\/a>, store it in a PostgreSQL database, or feed it into a price-trend dashboard. ScrapingBot also supports Airbnb, Zillow, and Rightmove 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>Web scraping 8 min read \u00a0\u00b7\u00a0 Published: 23\/02\/2023Looking for a Funda scraper in Python? The Dutch real estate market moves fast. Whether you&#8217;re tracking price trends, monitoring competitor listings, or building a data pipeline, this Funda scraper Python guide shows you how to get structured property data at scale using ScrapingBot&#8217;s API.Table of contents Why [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":5792,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-5388","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>Funda Scraper Python: Scrape Real Estate Listings - Scraping-bot<\/title>\n<meta name=\"description\" content=\"Build a funda scraper python with ScrapingBot&#039;s API. 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