logo

Rightmove Scraper - Scrape Rightmove Property Listings and Builder Data

RealdataAPI / rightmove-scraper

Rightmove Scraper is a powerful solution designed to collect valuable real estate insights directly from the Rightmove platform. Using the Rightmove Data Scraping API, businesses can efficiently Scrape Rightmove property listings and builder data such as property descriptions, pricing details, location information, images, agent profiles, and availability status. This advanced Rightmove Scraper helps real estate companies, analysts, and property marketplaces access structured datasets for market research and competitive analysis. By automating data extraction, the Rightmove Data Scraping API ensures accurate, large-scale, and up-to-date information from thousands of listings. Organizations can leverage this Rightmove Scraper to monitor market trends, track pricing changes, analyze property demand, and build comprehensive real estate databases for smarter decision-making and strategic planning.

What is Rightmove Data Scraper, and How Does It Work?

A Rightmove Data Scraper is a tool designed to automatically collect property and listing information from the Rightmove platform. It extracts key details such as property titles, locations, prices, property types, images, and agent information. The scraper works by sending automated requests to Rightmove pages and parsing the HTML structure to capture relevant data fields. The collected information is then converted into structured formats like JSON or CSV for easy analysis. Businesses commonly use a Rightmove property data scraping API to automate large-scale data collection and obtain regularly updated real estate insights for market analysis and business intelligence.

Why Extract Data from Rightmove?

Extracting data from Rightmove provides valuable insights into the property market, helping businesses analyze trends, property demand, and regional pricing patterns. Real estate agencies, property investors, and research firms rely on large datasets to understand market competition and customer preferences. By collecting listing details such as pricing, property features, and location data, companies can improve their strategic planning and investment decisions. Using a Rightmove real estate listings data scraper, organizations can efficiently gather comprehensive listing information, enabling them to monitor competitors, evaluate property demand, and build data-driven strategies for real estate marketing and analytics.

Is It Legal to Extract Rightmove Data?

Data extraction from Rightmove can be legal if it complies with the website’s terms of service and relevant data protection laws. Companies should focus on collecting publicly accessible information and avoid extracting personal or sensitive data. Ethical scraping practices include maintaining reasonable request limits, respecting platform policies, and using the data for analytical purposes. Many organizations perform Rightmove property availability and pricing data scraping to monitor housing trends and evaluate market opportunities. Following responsible scraping practices ensures businesses can access valuable insights while minimizing potential legal or compliance risks related to automated data extraction.

How Can I Extract Data from Rightmove?

To extract data from Rightmove, businesses typically use automated scraping tools, APIs, or custom scripts that navigate property listing pages and capture relevant information. The process usually includes identifying listing URLs, sending requests to retrieve page content, parsing the data structure, and exporting the extracted details into structured formats. Advanced tools often include scheduling, proxy rotation, and error handling to maintain consistent data collection. A Rightmove real estate data extractor simplifies this workflow by automating large-scale data extraction, allowing companies to collect property listings, agent details, images, and pricing information efficiently for analysis.

Do You Want More Rightmove Scraping Alternatives?

While Rightmove is a popular property marketplace, businesses may benefit from collecting data from additional real estate platforms to gain broader market insights. Alternative property websites often provide complementary information such as rental listings, builder projects, and regional property trends. Integrating data from multiple sources helps companies create more comprehensive real estate databases and improve their analytics capabilities. With Rightmove property catalog data extraction, organizations can combine listing information with data from other property marketplaces to strengthen research, monitor industry trends, and develop more accurate real estate market strategies.

Input options

The Rightmove scraper provides flexible input options that allow users to easily configure and manage their data extraction requests. Businesses can submit specific search URLs, property categories, location filters, agent profiles, or listing pages to begin the scraping process. This targeted approach ensures that only relevant property information is collected based on user requirements. With the Real-time Rightmove property listings data API, organizations can automatically collect updated listing details, including prices, property types, images, and availability status. The system is designed to efficiently Extract Rightmove property listings and rental data, helping businesses build structured datasets for market research, competitive analysis, and real estate insights.

Sample Result of Rightmove Data Scraper

{
  "platform": "Rightmove",
  "scrape_date": "2026-03-06",
  "total_results": 2,
  "properties": [
    {
      "property_id": "RMV982341",
      "property_title": "Modern 3 Bedroom Apartment",
      "property_type": "Apartment",
      "price": "£425,000",
      "availability_status": "For Sale",
      "location": {
        "city": "London",
        "area": "Canary Wharf",
        "country": "United Kingdom"
      },
      "bedrooms": 3,
      "bathrooms": 2,
      "agent_name": "Prime City Estates",
      "listing_date": "2026-03-01",
      "rating": 4.7,
      "review_count": 56,
      "description": "Spacious modern apartment with open-plan living area, balcony, and city skyline views.",
      "images": [
        "https://images.rightmove.co.uk/property1.jpg",
        "https://images.rightmove.co.uk/property2.jpg"
      ],
      "listing_url": "https://www.rightmove.co.uk/property/modern-3-bedroom-apartment"
    },
    {
      "property_id": "RMV982342",
      "property_title": "Luxury 4 Bedroom Family House",
      "property_type": "Detached House",
      "price": "£875,000",
      "availability_status": "For Sale",
      "location": {
        "city": "Manchester",
        "area": "Didsbury",
        "country": "United Kingdom"
      },
      "bedrooms": 4,
      "bathrooms": 3,
      "agent_name": "Northern Property Group",
      "listing_date": "2026-03-02",
      "rating": 4.6,
      "review_count": 41,
      "description": "Elegant family home featuring a large garden, modern kitchen, and spacious living rooms.",
      "images": [
        "https://images.rightmove.co.uk/property3.jpg",
        "https://images.rightmove.co.uk/property4.jpg"
      ],
      "listing_url": "https://www.rightmove.co.uk/property/luxury-family-house"
    }
  ]
}


Integrations with Rightmove Scraper – Rightmove Data Extraction

The Rightmove Scraper can be seamlessly integrated with various analytics platforms, CRM systems, and data visualization tools to streamline real estate data workflows. These integrations allow businesses to automatically transfer extracted listing data into databases, dashboards, or business intelligence platforms for deeper analysis. By using a Rightmove scraper for real estate market insights, organizations can monitor property trends, pricing changes, and listing performance across different locations. The collected information can be organized into a structured Rightmove Real Estate Dataset, helping analysts, real estate agencies, and investors make data-driven decisions and improve their market research strategies.

Executing Rightmove Data Scraping with Real Data API

Extracting property data from Rightmove becomes simple and scalable using the Rightmove Scraper integrated with the Rightmove Data Scraping API. Businesses can automate the scraping process by sending API requests with parameters such as property type, location, price range, or listing URLs. The Rightmove Scraper then collects valuable information including property descriptions, images, agent details, availability status, and pricing insights. The extracted data is delivered in structured formats like JSON or CSV, making it easy to integrate into analytics platforms or databases. Using the Rightmove Data Scraping API, organizations can efficiently gather large-scale property datasets for market analysis and competitive intelligence.

You should have a Real Data API account to execute the program examples. Replace in the program using the token of your actor. Read about the live APIs with Real Data API docs for more explanation.

import { RealdataAPIClient } from 'RealDataAPI-client';

// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
    token: '',
});

// Prepare actor input
const input = {
    "categoryOrProductUrls": [
        {
            "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
        }
    ],
    "maxItems": 100,
    "proxyConfiguration": {
        "useRealDataAPIProxy": true
    }
};

(async () => {
    // Run the actor and wait for it to finish
    const run = await client.actor("junglee/amazon-crawler").call(input);

    // Fetch and print actor results from the run's dataset (if any)
    console.log('Results from dataset');
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    items.forEach((item) => {
        console.dir(item);
    });
})();
from realdataapi_client import RealdataAPIClient

# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("")

# Prepare the actor input
run_input = {
    "categoryOrProductUrls": [{ "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5" }],
    "maxItems": 100,
    "proxyConfiguration": { "useRealDataAPIProxy": True },
}

# Run the actor and wait for it to finish
run = client.actor("junglee/amazon-crawler").call(run_input=run_input)

# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
# Set API token
API_TOKEN=<YOUR_API_TOKEN>

# Prepare actor input
cat > input.json <<'EOF'
{
  "categoryOrProductUrls": [
    {
      "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
    }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useRealDataAPIProxy": true
  }
}
EOF

# Run the actor
curl "https://api.realdataapi.com/v2/acts/junglee~amazon-crawler/runs?token=$API_TOKEN" \
  -X POST \
  -d @input.json \
  -H 'Content-Type: application/json'

Place the Amazon product URLs

productUrls Required Array

Put one or more URLs of products from Amazon you wish to extract.

Max reviews

Max reviews Optional Integer

Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.

Link selector

linkSelector Optional String

A CSS selector saying which links on the page (< a> elements with href attribute) shall be followed and added to the request queue. To filter the links added to the queue, use the Pseudo-URLs and/or Glob patterns setting. If Link selector is empty, the page links are ignored. For details, see Link selector in README.

Mention personal data

includeGdprSensitive Optional Array

Personal information like name, ID, or profile pic that GDPR of European countries and other worldwide regulations protect. You must not extract personal information without legal reason.

Reviews sort

sort Optional String

Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.

Options:

RECENT,HELPFUL

Proxy configuration

proxyConfiguration Required Object

You can fix proxy groups from certain countries. Amazon displays products to deliver to your location based on your proxy. No need to worry if you find globally shipped products sufficient.

Extended output function

extendedOutputFunction Optional String

Enter the function that receives the JQuery handle as the argument and reflects the customized scraped data. You'll get this merged data as a default result.

{
  "categoryOrProductUrls": [
    {
      "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
    }
  ],
  "maxItems": 100,
  "detailedInformation": false,
  "useCaptchaSolver": false,
  "proxyConfiguration": {
    "useRealDataAPIProxy": true
  }
}
INQUIRE NOW