Redfin Property Details Scraper
Extract real estate data effortlessly with the Redfin Property Details Scraper. Gather property prices, features, agent details, and more for market analysis and research.
What is a Redfin Property Details Scraper?
A Redfin Property Details Scraper is a tool designed to extract real estate data from Redfin. It allows users to gather detailed property information, such as home prices, features, agent details, and more, for analysis or research purposes.
What Data Can Be Scraped Using Redfin Property Details Scraper?
With a Redfin Property Details Scraper, users can extract various types of real estate data, including:
- Property addresses, prices, and mortgage estimates
- Number of bedrooms, bathrooms, and square footage
- Year built, lot size, and property type
- Agent contact details and listing status
- Interior and exterior features such as flooring, roofing, and pool availability
- School district information and assigned schools
- Utility and financial details
This data can be useful for market research, price comparison, investment analysis, or building real estate applications.
How It Works?
Getting started with Redfin Property Details Scraper is simple and user-friendly. Just follow these steps:
Create Your Account: Sign up or log in to your account on MrScraper. It’s quick, easy, and free to get started.
Initiate Scraping: Select “New ScrapeGPT” on the homepage and paste Redfin properti page's URL you wish to scrape.
Process the Page: Let ScrapeGPT process the selected page. The tool will analyze the page to identify and extract relevant data.
Enter a Prompt: Type in your prompt, such as “Get all the data”, and ScrapeGPT will handle the rest seamlessly.
Download Your Data: Once the scraping is complete, download the data in your preferred format—JSON or CSV—for easy analysis and integration into your workflow.
Input Url
https://www.redfin.com/CA/Canoga-Park/21040-Hackney-St-91304/home/5875142
Sample Output
The data extracted can be provided in JSON formats, ensuring compatibility with your workflow. For example:
Sample Output (JSON)
{
"property_details": {
"address": "21040 Hackney St, Canoga Park, CA 91304",
"price": "$999,000",
"estimated_mortgage": "$6,405/mo",
"beds": 3,
"baths": 3,
"sq_ft": 1912,
"lot_size": "6,402 sq ft",
"year_built": 1967,
"property_type": "Single-family",
"price_per_sq_ft": "$522",
"parking_spaces": 2,
"agent": {
"name": "David Hitt",
"contact": "310-795-4347",
"email": "david.hitt@redfin.com"
},
"listing_date": "Mar 10, 2025",
"status": "Active"
},
"about_home": "Welcome to this beautifully updated two-story home nestled in a quiet Canoga Park cul-de-sac! Offering 3 bedrooms, 3 baths, and approximately 1,912 sq. ft., this home has been thoughtfully renovated with modern upgrades throughout. Step inside to a newly updated interior, kitchen, and baths, designed for both style and functionality. The home also features a full additional separate suite, perfect for a home office, studio, or guest space, offering versatility to fit your lifestyle. Recent upgrades include a newer roof, dual-pane windows, fresh exterior paint, upgraded HVAC, plantation shutters, and enhanced plumbing. Energy efficiency is maximized with solar panels and an EV charger. The private backyard oasis is ideal for relaxation and entertaining, featuring low-maintenance artificial turf, hardscape, concrete work, newer vinyl gates and fencing, and updated sprinkler lines. A whole-house water softener adds extra convenience. Situated close to shopping, dining, and top-rated schools, this turnkey home offers the perfect blend of modern convenience and suburban charm.",
"interior_features": {
"fireplace": "In Living Room, In Dining Area, Gas Fireplace, Wood Burning, In Family Room, Gas Starter",
"flooring": "Laminate Floors",
"kitchen": "Granite Counters, Remodeled",
"laundry": "Laundry in Kitchen",
"additional_rooms": [
"Dining Area",
"Converted Garage",
"Living Room",
"Studio",
"Bonus Room",
"Guest-Maids Quarters"
]
},
"exterior_features": {
"roof": "Composition, Shingle",
"pool": "Room For Pool",
"fencing": "Brick Wall"
},
"financial_information": {
"listing_terms": [
"Cash",
"Cash To New Loan",
"Conventional"
],
"assessor_parcel_number": "2779-044-001"
},
"utilities": {
"sewer": "In Street",
"water": "Public"
},
"schools": {
"district": "Los Angeles Unified School District",
"assigned_schools": [
{
"name": "Limerick Avenue Elementary School",
"rating": "6/10",
"type": "Public",
"grades": "K-5",
"distance": "0.6mi"
},
{
"name": "Christopher Columbus Middle School",
"rating": "4/10",
"type": "Public",
"grades": "6-8",
"distance": "1.3mi"
},
{
"name": "Ernest Lawrence Middle School",
"rating": "5/10",
"type": "Public",
"grades": "6-8",
"distance": "2.1mi"
}
]
}
}
Is Scrape Data from Redfin Web Legal?
The legality of web scraping depends on factors such as Redfin’s terms of service and data usage policies. While publicly available data scraping is common, users should ensure compliance with legal guidelines, respect robots.txt files, and avoid unauthorized data collection.
Conclusion
A Redfin Property Details Scraper is a powerful tool for extracting structured real estate data. Whether for personal research or business applications, it enables users to analyze property trends, monitor listings, and gain valuable market insights. However, ethical and legal considerations should always be followed to ensure responsible data usage.
Frequently Asked Questions
What is a Redfin Property Details Scraper?
A Redfin Property Details Scraper is an automated tool that extracts structured real estate data from Redfin listing pages. It collects property prices, home features, agent contacts, school district information, and financial details — without manual copy-pasting — making it useful for market research, investment analysis, and building real estate data pipelines.
What data can a Redfin Property Details Scraper extract?
A Redfin Property Details Scraper can extract property addresses, sale prices, mortgage estimates, bedroom and bathroom counts, square footage, lot size, year built, property type, price per square foot, parking spaces, listing agent details, interior and exterior features, utility info, school ratings, and financial terms — all in structured JSON or CSV format.
How does MrScraper's Redfin Property Details Scraper work?
MrScraper's ScrapeGPT processes any Redfin property page URL you paste into it. You enter a simple prompt like "Get all the data," and the tool automatically identifies and extracts structured property details — no coding required. Extracted data is available for download in JSON or CSV format within minutes of starting a scrape.
Who benefits most from scraping Redfin property details?
Real estate investors, market analysts, property developers, data scientists, and proptech startups benefit most from Redfin property data scraping. It enables automated price tracking across neighborhoods, competitive market analysis, investment opportunity scoring, and building real estate datasets for machine learning models — without manually visiting hundreds of individual listing pages.
How does Redfin property data compare to Zillow data for research?
Redfin and Zillow both provide listing prices, home features, and agent details. Redfin is often favored for its direct MLS integration and transparent pricing data, while Zillow is valued for its "Zestimate" valuations and broader listing inventory. For research, combining both sources typically provides a more complete view of the U.S. housing market.
What file formats does the Redfin Property Details Scraper export?
The Redfin Property Details Scraper exports data in JSON and CSV formats. JSON is ideal for feeding data directly into applications or APIs, while CSV is better suited for spreadsheet analysis in Excel or Google Sheets. Both formats include structured fields for all extracted property attributes, making integration into your workflow straightforward.
Can I scrape multiple Redfin property pages at once?
Yes, MrScraper supports batch scraping, allowing you to extract data from multiple Redfin property page URLs in a single workflow. This is especially useful for investors analyzing dozens of comparable listings in a neighborhood, or researchers building a dataset across multiple markets simultaneously.
What are the main use cases for Redfin property data?
The main use cases for Redfin property data include real estate market analysis, investment opportunity identification, price trend monitoring, school district research, building property comparison tools, and creating training datasets for predictive pricing models. Businesses also use it to monitor listing activity and track agent performance across specific target markets.
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Frequently asked questions
What is a Redfin Property Details Scraper?
A Redfin Property Details Scraper is an automated tool that extracts structured real estate data from Redfin listing pages. It collects property prices, home features, agent contacts, school district information, and financial details — without manual copy-pasting — making it useful for market research, investment analysis, and building real estate data pipelines.
What data can a Redfin Property Details Scraper extract?
A Redfin Property Details Scraper can extract property addresses, sale prices, mortgage estimates, bedroom and bathroom counts, square footage, lot size, year built, property type, price per square foot, parking spaces, listing agent details, interior and exterior features, utility info, school ratings, and financial terms — all in structured JSON or CSV format.
Is it legal to scrape property data from Redfin?
Redfin's Terms of Service (last updated September 2025) explicitly prohibit automated scraping, screen scraping, and database scraping. Scraping publicly visible listing data may still be defensible in some legal interpretations — particularly for non-commercial, non-logged-in access — but always review Redfin's ToS, respect their robots.txt, and consult a legal professional before scraping at scale.
Does Redfin have an official API for property data?
Redfin does not offer a public API for individual property records. The Redfin Data Center provides free downloadable CSV files of aggregated market-trend data by region, but there are no official REST endpoints for per-property details, pricing history, or agent information available to third-party developers.
How does MrScraper's Redfin Property Details Scraper work?
MrScraper's ScrapeGPT processes any Redfin property page URL you paste into it. You enter a simple prompt like "Get all the data," and the tool automatically identifies and extracts structured property details — no coding required. Extracted data is available for download in JSON or CSV format within minutes of starting a scrape.
Who benefits most from scraping Redfin property details?
Real estate investors, market analysts, property developers, data scientists, and proptech startups benefit most from Redfin property data scraping. It enables automated price tracking across neighborhoods, competitive market analysis, investment opportunity scoring, and building real estate datasets for machine learning models — without manually visiting hundreds of individual listing pages.
How does Redfin property data compare to Zillow data for research?
Redfin and Zillow both provide listing prices, home features, and agent details. Redfin is often favored for its direct MLS integration and transparent pricing data, while Zillow is valued for its "Zestimate" valuations and broader listing inventory. For research, combining both sources typically provides a more complete view of the U.S. housing market.
What file formats does the Redfin Property Details Scraper export?
The Redfin Property Details Scraper exports data in JSON and CSV formats. JSON is ideal for feeding data directly into applications or APIs, while CSV is better suited for spreadsheet analysis in Excel or Google Sheets. Both formats include structured fields for all extracted property attributes, making integration into your workflow straightforward.
Can I scrape multiple Redfin property pages at once?
Yes, MrScraper supports batch scraping, allowing you to extract data from multiple Redfin property page URLs in a single workflow. This is especially useful for investors analyzing dozens of comparable listings in a neighborhood, or researchers building a dataset across multiple markets simultaneously.
What are the main use cases for Redfin property data?
The main use cases for Redfin property data include real estate market analysis, investment opportunity identification, price trend monitoring, school district research, building property comparison tools, and creating training datasets for predictive pricing models. Businesses also use it to monitor listing activity and track agent performance across specific target markets.
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