Redfin Scraper — Real Estate Listings by City & ZIP | $1.50/1K | No Proxy

For investors, agents, and data teams who need Redfin's clean JSON API data without spinning up proxies or parsing HTML.

Pay per property: $1.50 per 1,000 properties — charged only for results delivered.

Scrape Redfin real estate listings by city, ZIP code, county, or neighborhood. Returns structured property data — price, beds, baths, square footage, lot size, year built, days on market, GPS coordinates, and more. Powered by Redfin's internal stingray JSON API for reliable, fast extraction.

Why use this actor?

• No proxy required for most US regions — the API returns JSON directly
• Fast and reliable — structured JSON endpoint, no HTML parsing fragility
• Rich data — 20+ fields per property including remarks, status, and coordinates
• Flexible input — city, ZIP, county, neighborhood, or full Redfin search URL
• Pay per result — only pay for properties you actually receive

What data do you get?

Field	Description
property_id	Redfin property ID (stable)
address	Street address
city, state, zip	Location
price	Listing price in USD
beds	Bedrooms
baths	Bathrooms (supports half-baths)
sqft	Interior square footage
lot_size	Lot size in square feet
year_built	Year of construction
property_type	house / condo / townhouse / multi-family / land / other
status	active / coming_soon / pending / sold / etc.
days_on_market	Days listed (DOM)
latitude, longitude	GPS coordinates
url	Direct Redfin listing URL
parse_confidence	Data quality score (1.0 = perfect)

How to use

1. Go to redfin.com and navigate to a city, ZIP code, county, or neighborhood
2. Copy the URL from your browser's address bar
3. Paste it into the Locations input field

Example URLs:

https://www.redfin.com/city/30818/TX/Austin
https://www.redfin.com/zipcode/78701
https://www.redfin.com/county/1361/TX/Travis-County
https://www.redfin.com/neighborhood/48430/CA/San-Francisco/Noe-Valley

You can scrape multiple locations in one run by adding multiple URLs.

Output sample

{
  "property_id": "55823410",
  "address": "2107 Nueces St",
  "city": "Austin",
  "state": "TX",
  "zip": "78705",
  "price": 649000,
  "beds": 3,
  "baths": 2.0,
  "sqft": 1850,
  "lot_size": 5400,
  "year_built": 1978,
  "property_type": "house",
  "status": "active",
  "days_on_market": 12,
  "latitude": 30.2843,
  "longitude": -97.7407,
  "url": "https://www.redfin.com/TX/Austin/2107-Nueces-St-78705/home/55823410",
  "parse_confidence": 1.0,
  "warnings": []
}

Pricing example

Run size	Cost
100 properties	~$0.15
1,000 properties	~$1.50
10,000 properties	~$15.00
+ sold comp (ARV)	+$1.00/1K

FAQ

Do I need a Redfin account or proxy? No account. No proxy required for most US regions — the stingray JSON API is open. Configure Apify proxy in Advanced options only if you hit blocks.

What output formats are available? JSON, CSV, Excel, XML — all via Apify dataset download or API.

Can I pull sold comps for ARV analysis? Yes — set statusFilter to sold to get recently closed sales. Sold comps charge both the base event and the sold-listing premium event.

What if a location returns empty results? The actor logs the error, skips the location, and continues. Empty locations push no records and charge nothing.

Why this actor vs. competitors

Feature	This actor	epctex/redfin-scraper ($2/1K)	Typical Redfin HTML scraper
Internal stingray JSON API	Yes	No (HTML)	No
parse_confidence	Yes	No	No
Days on market field	Yes	Rarely	No
Multiple locations per run	Yes	Single URL	Single URL
Sold comps (statusFilter=sold)	Yes	No	No
Proxy required	No (most regions)	Yes	Often yes

Key differentiators: lot_size, year_built, and days_on_market on every property. Sold comps via statusFilter=sold return closed-sale data that Zillow charges for — investors use this for ARV analysis.

parse_confidence

Every record includes parse_confidence (1.0 = all fields present). Records with parse_confidence < 0.8 have degraded data — inspect the warnings array.

Use with AI agents (MCP)

Tag: MCP_SERVERS. Returns flat JSON — plug directly into LangChain agents, n8n nodes, or Make scenarios without transformation.

{
  "mcpServer": "https://mcp.apify.com/?tools=bovi/redfin-scraper"
}

Proxy

No proxy required for most US regions. If you encounter blocks, configure an Apify proxy in the Advanced options section.

Cost

Pay-Per-Event (PPE) pricing:

Event	Price
property-item (primary)	$1.50 / 1,000 properties
sold-listing (premium)	$1.00 / 1,000 sold comps

Sold comps (statusFilter=sold) charge both events — the base listing event plus the sold-comp premium. Default run fetches up to 500 properties.

Integrations

Built for real-estate investors and data teams pulling structured property listings by city, ZIP, and neighborhood — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.

Legal

This actor accesses publicly available real estate data from redfin.com. Use responsibly and in accordance with Redfin's Terms of Service. Do not use for mass harvesting or commercial redistribution of listing data.