Redfin Scraper – Extract US Real Estate Listings & Property Data from Redfin.com

Redfin Scraper is a fast, no-code Redfin.com data extractor that turns one of the largest US real estate marketplaces into clean, structured, ready-to-use data. With this Redfin scraper you can scrape Redfin listings by city, ZIP code, neighborhood or county and pull price, beds, baths, square footage, price per sqft, HOA, year built, listing status, MLS number, days on market, GPS coordinates, photos and full descriptions — exported to JSON, CSV, Excel, HTML or XML in seconds.

No login. No Redfin API key. No coding. Just paste a Redfin search URL, press Start, and download a spreadsheet of US property listings.

⚡ TL;DR – Paste a Redfin.com search URL (city, ZIP, neighborhood or county) → choose property types and a limit → Start → download your real estate dataset. That's it.

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🔑 Why use this Redfin Scraper?

Redfin is a leading US real estate listings platform with rich, MLS-backed property data that investors, agents and analysts rely on every day. The problem: Redfin offers no public API for bulk data, and copy-pasting listings by hand simply doesn't scale. This Redfin data scraper bridges that gap.

• ✅ No login & no API key – start scraping Redfin instantly, right out of the box.
• ✅ Search by any Redfin URL – city, ZIP code, neighborhood, or county pages all work.
• ✅ Complete property data – price, $/sqft, beds, baths, sqft, lot size, HOA, year built, status, MLS#, days on market, latitude/longitude, photos and listing description.
• ✅ Property type filtering – houses, condos, townhouses, multi-family, land and more.
• ✅ Fast & low-cost – powered by Redfin's own JSON data layer, not a slow headless browser.
• ✅ Bulk export – JSON, CSV, Excel (XLSX), HTML and XML, or pull straight from the Apify API.
• ✅ Automation-ready – schedule daily/weekly runs and connect to Google Sheets, Slack, Zapier, Make, webhooks, or use it as an AI agent tool.
• ✅ Clean, structured output – every listing is one tidy row, ready for Excel, BI tools, CRMs and data pipelines.

Keywords this tool covers: Redfin scraper, Redfin.com scraper, scrape Redfin, Redfin data extraction, US real estate scraper, real estate listings API alternative, MLS data, property data scraper, comps tool, CMA data, housing market analytics, real estate lead generation.

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👤 Who is this Redfin Scraper for?

This tool is built around real jobs people need done. Find yourself below:

🏦 Real estate investors & house flippers

Source deals faster. Pull every listing in a target city or ZIP, sort by price per square foot, filter by property type, and instantly spot underpriced homes. Track days on market to find motivated sellers and aging inventory. Build a repeatable deal-sourcing pipeline instead of refreshing Redfin by hand.

🧑‍💼 Real estate agents, brokers & appraisers

Run a comparative market analysis (CMA) in minutes. Export comparable listings — price, $/sqft, beds, baths, sqft, year built, last sold date — for any neighborhood and hand your clients data-backed pricing. Monitor competitor inventory and new listings in your farm area automatically.

🏗️ Proptech, real estate startups & portals

Power your product with a continuously refreshed Redfin listings feed. Each record ships with GPS coordinates, photos and descriptions, ready to plug into maps, valuation models, search portals, and CRMs.

📊 Data analysts & researchers

Build structured US housing datasets for market research. Track asking prices, inventory, and price/sqft across cities, ZIP codes and counties over time. Perfect for affordability studies, trend dashboards and academic work.

🏛️ Mortgage, insurance & relocation companies

Enrich your workflows with up-to-date property attributes (size, year built, HOA, type, location) for the US markets you serve — for underwriting, valuation, or relocation packages.

📣 Real estate marketers & lead generation teams

Build targeted lists by location and property type to fuel ABM, direct mail and outreach campaigns aimed at specific neighborhoods and price bands.

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📦 What data does the Redfin Scraper extract?

Every listing is saved as a clean, flat record with the following fields:

Field	Type	Example	Description
url	string	https://www.redfin.com/TX/Austin/.../home/123	Direct link to the Redfin listing
mlsId	string	1234567	MLS number
status	string	Active, Coming Soon	Current listing status
price	number	950000	List price in USD
pricePerSqFt	number	544	Price per square foot
beds	number	3	Number of bedrooms
baths	number	2.5	Number of bathrooms
sqFt	number	1745	Interior square footage
lotSize	number	8400	Lot size in square feet
yearBuilt	number	1954	Year the home was built
propertyType	string	House, Condo/Co-op	House, Condo/Co-op, Townhouse, Multi-family, Land, Other
hoaMonthly	number	250	Monthly HOA fee in USD
address	string	1701 Aggie Ln	Street address
unitNumber	string	Unit 5C	Unit number (if applicable)
city	string	Austin	City
state	string	TX	State code
zip	string	78757	ZIP code
latitude	number	30.3468	Latitude (GPS)
longitude	number	-97.7811	Longitude (GPS)
daysOnMarket	number	1	Days the listing has been on market
soldDate	string (ISO)	2006-06-23T...	Last recorded sale date (price history — see notes)
isNewConstruction	boolean	false	New construction flag
hasVirtualTour	boolean	true	Virtual tour available
has3DTour	boolean	false	3D tour available
isHot	boolean	true	Redfin "hot home" flag
photoCount	number	25	Number of photos
photo	string	photo URL	Main photo URL (when available)
description	string	listing remarks	Full listing description
propertyId	number	12345678	Redfin internal property ID
listingId	number	215615566	Redfin internal listing ID
scrapedAt	string (ISO)	2026-05-22T...	Extraction timestamp

Tip: after export, filter by status, sort by pricePerSqFt, or pivot on zip/propertyType to slice the data any way you need.

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🚀 How to use the Redfin Scraper (step by step)

You don't need any technical skills:

1. Search on Redfin.com for a city, ZIP code, neighborhood or county — and apply any filters you like (price range, beds, etc.).
2. Copy the URL from your browser's address bar.
3. Open the Actor and paste the URL into the Redfin search URLs field. Add as many URLs as you want.
4. (Optional) Pick property types (houses, condos, townhouses, multi-family, land) and set a Max items limit to control cost.
5. Click Start ▶️ and let it run.
6. When finished, open the Storage → Dataset tab and export as JSON, CSV, Excel, HTML or XML — or grab the data via the Apify API.

That's all — you now have a structured Redfin dataset you can open in Excel, Google Sheets, or load into any tool.

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⚙️ Input examples

Example 1 – All listings in a city

{
  "startUrls": [
    { "url": "https://www.redfin.com/city/30749/NY/New-York" }
  ],
  "maxItems": 200
}

Example 2 – Condos in a specific ZIP code

{
  "startUrls": [
    { "url": "https://www.redfin.com/zipcode/78731" }
  ],
  "propertyTypes": ["condo"],
  "maxItems": 100
}

Example 3 – Houses & townhouses across multiple areas

{
  "startUrls": [
    { "url": "https://www.redfin.com/city/30818/TX/Austin" },
    { "url": "https://www.redfin.com/county/321/TX/Travis-County" }
  ],
  "propertyTypes": ["house", "townhouse"],
  "maxItems": 500
}

Example 4 – Full coverage of a metro via several ZIP codes

{
  "startUrls": [
    { "url": "https://www.redfin.com/zipcode/90001" },
    { "url": "https://www.redfin.com/zipcode/90002" },
    { "url": "https://www.redfin.com/zipcode/90003" }
  ],
  "maxItems": 1000
}

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📤 Output example

{
  "url": "https://www.redfin.com/TX/Austin/1701-Aggie-Ln-78757/home/12345678",
  "mlsId": "1234567",
  "status": "Active",
  "price": 950000,
  "pricePerSqFt": 544,
  "beds": 3,
  "baths": 2,
  "sqFt": 1745,
  "lotSize": 8400,
  "yearBuilt": 1954,
  "propertyType": "House",
  "hoaMonthly": null,
  "address": "1701 Aggie Ln",
  "city": "Austin",
  "state": "TX",
  "zip": "78757",
  "latitude": 30.3468,
  "longitude": -97.7811,
  "daysOnMarket": 1,
  "soldDate": "2006-06-23T07:00:00.000Z",
  "isNewConstruction": false,
  "hasVirtualTour": false,
  "photoCount": 25,
  "description": "Charming mid-century home on a large lot...",
  "propertyId": 12345678,
  "listingId": 215615566,
  "scrapedAt": "2026-05-22T13:02:20.645Z"
}

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📝 Input parameters reference

Parameter	Type	Default	Description
startUrls	array of URLs	–	Redfin city / ZIP / neighborhood / county search URLs.
propertyTypes	array	all	Any of house, condo, townhouse, multifamily, land, other.
maxItems	integer	0 (no limit)	Max listings to scrape across the run. Each search URL returns up to ~350.
maxConcurrency	integer	5	Max search URLs processed in parallel.
maxRequestRetries	integer	3	Retries per failed request.
proxyConfiguration	object	Apify Proxy (US)	Proxy settings; US-based proxies recommended for Redfin.

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🌍 How to find Redfin URLs

Redfin search URLs are easy to grab — just search on redfin.com and copy the address bar. The scraper detects the region automatically from any of these URL shapes (no IDs to look up by hand):

• City: https://www.redfin.com/city/30818/TX/Austin
• ZIP code: https://www.redfin.com/zipcode/78731
• County: https://www.redfin.com/county/321/TX/Travis-County
• Neighborhood: https://www.redfin.com/neighborhood/...

You can mix and match URL types in a single run, and you can apply Redfin's own filters before copying the URL.

Popular US markets to scrape

Region type	Examples
Major metros (city)	New York, Los Angeles, Chicago, Houston, Phoenix, Austin, Seattle, Miami
High-growth ZIPs	Target specific ZIP codes for focused, full-coverage pulls
Counties	Travis County (TX), King County (WA), Maricopa County (AZ), Cook County (IL)
Neighborhoods	Drill into a single neighborhood for hyper-local comps

Because each search is capped at ~350 homes (Redfin's limit), scraping a list of ZIP codes is the most reliable way to fully cover a large metro without missing listings.

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🛠️ How it works (under the hood)

This scraper is built for speed and reliability:

1. It reads the region (region ID + type) straight from the Redfin search page — so any city/ZIP/county/neighborhood URL just works.
2. It calls Redfin's own JSON data endpoint (the same one that powers the map view) to pull structured listing data — no fragile HTML parsing, no heavy headless browser.
3. It normalizes each listing into a clean, flat record and applies your property-type filter.
4. Results stream into the Apify dataset, ready to export or pipe anywhere.

Because it uses a lightweight HTTP client instead of a browser, runs are fast and cheap, and it includes automatic retries for resilience.

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📊 Understanding the data (important notes)

• ~350 homes per search: Redfin caps map results at roughly 350 homes per area. To cover an entire metro, scrape several ZIP codes or neighborhoods rather than one big city URL.
• soldDate = price history: This is the property's last recorded sale date, not its current status. An active listing can still carry an old soldDate from a previous sale. Always use the status field for the current state (Active, Coming Soon, etc.).
• Hidden / unavailable fields: Redfin occasionally restricts a field on certain listings (e.g. exact sqft on some pre-market homes). Those are returned as null rather than a wrong value.
• Property type filtering is applied to the results, so requesting only condo returns only condos found in that area.
• Empty fields are normal: condos have no lotSize, non-HOA homes have no hoaMonthly, etc.

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💡 Tips & best practices

• Control cost with maxItems. Start with 50–100 to preview, then scale up.
• Scrape ZIP codes for full coverage of a large metro (each city page is capped at ~350 homes).
• Filter by property type to keep datasets focused (e.g. only condos for a rental study).
• Schedule the Actor daily/weekly to maintain a fresh listings feed or price-tracking dataset.
• Use coordinates (latitude/longitude) to map listings or join with other geo datasets.
• Track price + daysOnMarket over time to spot price drops and stale inventory.
• Keep US proxies on — Redfin is a US site and serves best from US IPs (enabled by default).

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🔄 Keeping your data fresh & automating

US listings change daily — homes list, go pending, and sell fast. To keep a live dataset:

1. Schedule the Actor to run daily or weekly from the Apify Console.
2. De-duplicate downstream by propertyId or url (each listing is unique).
3. Connect a webhook, Google Sheets or Slack integration for instant new-listing alerts.
4. Compare snapshots over time to detect price changes and measure how fast homes sell in each area.

This turns the scraper into a live feed for deal alerts, CMA dashboards, BI reports, or a property portal.

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🔌 Integrations & automation

This Redfin Scraper plugs straight into your stack:

• Apify API – trigger runs and pull data programmatically.
• Webhooks – get notified when a run finishes.
• Zapier, Make (Integromat), n8n – push results into thousands of apps.
• Google Sheets, Slack, Airtable, Excel – send listings where your team works.
• MCP / AI agents – use this Actor as a tool for LLM-powered agents.
• Scheduler – run automatically on a daily, weekly or custom schedule.

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👩‍💻 Using the Redfin Scraper via API

Call this Actor from any language using the Apify API.

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")

run_input = {
    "startUrls": [{ "url": "https://www.redfin.com/city/30818/TX/Austin" }],
    "propertyTypes": ["house"],
    "maxItems": 200,
}

run = client.actor("YOUR_USERNAME/redfin-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["address"], "-", item.get("price"), "-", item.get("sqFt"), "sqft")

JavaScript / Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });

const input = {
    startUrls: [{ url: 'https://www.redfin.com/zipcode/78731' }],
    maxItems: 100,
};
const run = await client.actor('YOUR_USERNAME/redfin-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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⚖️ Redfin Scraper vs. the alternatives

	Manual copy-paste	Redfin's site	This Redfin Scraper
Bulk export	❌ One by one	❌ No public API	✅ Hundreds at once
Structured data	❌	⚠️ Limited	✅ Clean JSON/CSV/Excel
Property type filter	⚠️ Manual	✅	✅
Automation / scheduling	❌	❌	✅
Coordinates & photos	❌	⚠️	✅
Cost	High (your time)	–	Low (pay per result)

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❓ Frequently asked questions

Do I need a Redfin account or API key?

No. This scraper uses only publicly available data on redfin.com. No login, cookies or Redfin API key required.

How many listings can I scrape?

Each search URL returns up to ~350 homes (Redfin's per-area limit). To cover an entire metro, scrape several ZIP codes or neighborhoods. Use maxItems to cap the total across the run.

Can I filter by property type?

Yes — choose any combination of house, condo, townhouse, multi-family, land or other. The filter is applied to the results returned for each area.

What does soldDate mean?

It's the property's last recorded sale date (price history). It can appear on an active listing from a previous sale, so always use status for the current state.

Why are some fields empty (null)?

Redfin doesn't publish every field for every listing (e.g. lot size for condos, HOA for non-HOA homes), and occasionally restricts a field on pre-market listings. Missing values are returned as null.

In what formats can I download the data?

JSON, CSV, Microsoft Excel (XLSX), HTML table, and XML — plus direct API access and dataset views.

How fresh is the data?

The scraper fetches live data from Redfin.com on every run, so results reflect the site's current state. Schedule it to keep your dataset up to date.

Can I scrape sold homes?

This version focuses on active and coming-soon listings (the most reliable data). Each listing still includes its last soldDate (price history). Need full sold-history coverage? Open an issue and let us know.

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🧰 Troubleshooting

• "Could not resolve region" – make sure the URL is a real Redfin search page (city/ZIP/neighborhood/county), not a single listing or an account page.
• Fewer results than expected – remember the ~350-per-area cap; split large cities into ZIP codes.
• Getting blocked or empty results – keep US-based Apify Proxy enabled and avoid setting concurrency too high.
• A field is missing – it may simply not be published for that listing (returned as null).

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⚖️ Is it legal to scrape Redfin.com?

This Actor collects only publicly available information that anyone can view on redfin.com without logging in. Web scraping of public data is generally legal, but how you use the data is your responsibility:

• Do not use the data in ways that violate privacy laws (GDPR, CCPA, etc.).
• Do not republish copyrighted content (listing photos or descriptions) in infringing ways.
• Respect Redfin's Terms of Service and any applicable MLS data rules.
• Use the data for legitimate purposes such as research, analytics and aggregated market insight.

If you're unsure about your specific use case, consult a legal professional.

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🛟 Support & feedback

Found a bug, missing a field, or need a new feature (like sold-history or extra filters)? Open an issue on the Actor's Issues tab — feedback is welcome and directly shapes the roadmap. If a listing or search URL fails, please include the exact URL so it can be reproduced quickly.

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🏷️ Keywords

Redfin scraper, Redfin.com scraper, scrape Redfin, Redfin data extractor, Redfin API alternative, US real estate scraper, real estate listings scraper, property data extraction, MLS data scraper, real estate comps tool, CMA data, $/sqft data, housing market data, property price scraper, real estate lead generation, proptech data feed, scrape real estate by ZIP code, export Redfin to CSV Excel JSON, US property dataset.

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This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Redfin Corporation. "Redfin" is a trademark of its respective owner.