๐Ÿ  Redfin Scraper โ€” Listings, Prices & Comps avatar

๐Ÿ  Redfin Scraper โ€” Listings, Prices & Comps

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๐Ÿ  Redfin Scraper โ€” Listings, Prices & Comps

๐Ÿ  Redfin Scraper โ€” Listings, Prices & Comps

Scrape Redfin listings, prices, price-per-sqft, days on market & property details for any US city or zip code. Market tracker mode auto-generates neighborhood comparisons, pricing insights & investment opportunities. A faster, cheaper Zillow alternative for real estate investors & analysts.

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from $12.00 / 1,000 results

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Stephan Corbeil

Stephan Corbeil

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๐Ÿ  Redfin Real Estate Scraper โ€” Listings, Comps, Days on Market & Price History

Pull live US real-estate listings from Redfin at scale โ€” active listings, recently sold comps, days on market, price history, photos, agent contacts. A drop-in alternative to Zillow Zestimate API, Realtor.com API, HouseCanary, CoreLogic, and ATTOM Data โ€” without the enterprise contract.

Why Redfin Scraper Beats Zillow, Realtor.com, HouseCanary, CoreLogic & ATTOM

FeatureNexGenData Redfin ScraperZillow Zestimate APIRealtor.com APIHouseCanaryCoreLogicATTOM Data
CostPay-per-event, no subscriptionLimited free tier + paidPartner-only$$$$ enterprise$$$$ enterprise$$$ subscription
Public APIYes โ€” Apify ActorLimited / deprecated routesPartner-onlySales-gatedSales-gatedAPI key + plan
Active listingsYesYesYesYesYesYes
Sold compsYes (last 5 years where available)LimitedLimitedYesYesYes
Days on marketYesYesYesYesYesYes
Price historyYesLimitedLimitedYesYesYes
Bulk exportCSV / JSON / ExcelAPI onlyPartner contractAPI + dashboardEnterprise feedAPI + feed
Agent contactsWhere shown publiclyNoLimitedNoNoNo
AuthApify tokenAPI key + planPartner contractEnterprise SSOEnterprise SSOAPI key + plan
Time-to-first-row< 60 secondsSignup + planSales cycleSales cycleSales cycleSignup

Most real-estate analysts pick this scraper because it is cheaper than HouseCanary and CoreLogic, faster to set up than a Realtor.com partner contract, and broader in coverage than Zillow's API after their public API deprecation. Drop the JSON into Snowflake or Google Sheets and you have a real-time MLS-adjacent feed.

What You Get

Each listing returns:

  • Property address โ€” street, city, state, ZIP, latitude, longitude
  • Status โ€” active, pending, sold, off market
  • Price โ€” list price + sold price + price-per-square-foot
  • Beds / baths / square footage / lot size
  • Year built + property type (single family, condo, multi-family, land)
  • Days on market + listing date + last status change
  • Price history โ€” every list-price change + sold price with date
  • Photos โ€” array of full-resolution image URLs
  • Description โ€” listing remarks where available
  • HOA dues + annual property taxes where listed
  • Agent / brokerage โ€” name, brokerage, phone where publicly shown
  • Walk score / school district where available
  • MLS number + Redfin listing URL

Output streams to a clean Apify dataset โ€” CSV, JSON, Excel, RSS, or API.

Use Cases

  • Real-estate investors โ€” sourcing off-market candidates and tracking comps in target ZIPs daily
  • iBuyers + flippers โ€” watch days-on-market spikes to time offers
  • Mortgage / proptech startups โ€” enrich loan applications with current comp data
  • Appraisers + AVMs โ€” build models on a fresh sold-comp universe
  • Real-estate journalists โ€” track market velocity by city / ZIP / school district
  • PE / REITs โ€” monitor inventory and price velocity across multi-state portfolios
  • Brokerage marketing โ€” generate "just sold near you" listings for territory mailers

Quick Start

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"searchUrls": [
"https://www.redfin.com/city/30772/CA/San-Francisco"
],
"maxItems": 100,
"includeSold": True,
}
run = client.actor("nexgendata/redfin-real-estate-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("address"), item.get("price"), item.get("daysOnMarket"))

Pricing

Pay-per-event. Small Actor Start fee plus per-listing fee written to the dataset. No subscription. No seat. No overage.

Compare to HouseCanary (enterprise contract starting low five figures), ATTOM Data (subscription + per-call), or hiring an MLS data vendor (six-figure annual). For most teams the unit cost on this actor is two orders of magnitude lower.

Use caseActor
Real-estate API access for AI agentsReal Estate MCP Server
UK property listings (Rightmove)Rightmove UK Real Estate Scraper
Singapore HDB resale pricesSG HDB Resale Prices
Singapore URA property transactionsSG URA Property Transactions
Denmark Boliga real-estate scraperBoliga Denmark Real Estate
Mortgage / financial market dataYahoo Finance Scraper
Treasury yields + bond ratesTreasury Yields & Bonds
Lead-list enrichment for agentsLead List Enricher

FAQ

Is scraping Redfin legal? Redfin listings are publicly displayed. This actor reads the same pages a normal browser would, throttled and proxied to avoid burden. We do not bypass paywalls or login-gated pages.

How fresh is the data? Live on every run. Each invocation pulls the current Redfin page at runtime. There is no cached dataset โ€” every result is read fresh.

Coverage? All 50 US states + DC + most metros where Redfin operates. Active listings, recently sold comps, off-market where displayed publicly.

Can I scrape by ZIP or by school district? Yes โ€” pass any Redfin city / ZIP / school-district / neighborhood URL. The actor follows the same filter UI Redfin exposes.

Does it include photos? Yes โ€” full-resolution photo URLs are included in each result.

Can I schedule it daily? Yes โ€” native Apify scheduling. Run it daily for a watched ZIP + webhook the dataset to Slack or Sheets.

How is this different from the Zillow API? Zillow's public API has been largely deprecated and the Zestimate API is partner-only with caps. This actor gives you the comparable Redfin equivalent with no plan tier and no caps.

About NexGenData

NexGenData publishes 260+ buyer-intent actors covering SEC filings, YC alumni, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, and more. All pay-per-result. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b


How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing โ€” you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

  • Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
  • Result: charged per item written to the default dataset
  • No charge for retries, internal proxy rotation, or failed sub-requests โ€” those are absorbed by the platform

If you only need the data once a quarter, you only pay once a quarter. If you scale to millions of records, the unit cost stays the same.

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link โ€” you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

  • Apify console โ€” point-and-click run
  • Apify API โ€” REST + webhooks
  • Apify Python / JS SDKs โ€” programmatic batch
  • Zapier, Make.com, n8n โ€” official integrations
  • MCP โ€” many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
  • Schedules โ€” built-in cron for daily / weekly / monthly runs
  • Webhooks โ€” POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome โ€” high-demand features ship in the next version.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata