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🏡 Zillow Scraper — Redfin, HouseCanary, ATTOM Data & CoreLogic Alternative

Scrape Zillow listings + Zestimates by city, ZIP, or URL — addresses, list / sale prices, beds, baths, sqft, lot, year built, Zestimate, Rent Zestimate, days on market, price history, tax history, school ratings, photos, and agent details. Built as a pay-per-result alternative to the Zillow public API (deprecated), Redfin direct (limited), HouseCanary ($$$$), ATTOM Data, and CoreLogic for investors, brokerages, PropTech builders, and analysts.

Why Zillow Scraper Beats HouseCanary, ATTOM Data, CoreLogic & Manual Browsing

Most investors, PropTech builders, and brokerages pick this actor instead of HouseCanary / CoreLogic because their per-record cost runs $0.50-$5 with annual contracts and minimums in the tens of thousands; this actor returns the Zillow surface (Zestimate, price history, days on market, school ratings) at $0.005 per listing with no contract. Cheaper than ATTOM Data at any volume and a drop-in alternative to the long-deprecated Zillow public API for teams that need Zillow's surface, not a proprietary AVM.

What You Get Per Listing

Each dataset item is a flat JSON record:

• zpid, address, city, state, zip, lat, lng
• home_type — single-family / condo / townhouse / multi / land
• status — for-sale / pending / sold / off-market / for-rent
• list_price, last_sold_price, last_sold_date
• zestimate, rent_zestimate, zestimate_low, zestimate_high
• beds, baths, sqft, lot_size, year_built, parking
• price_history — array of {date, price, event} (listed / price-change / sold / etc.)
• tax_history — array of {year, tax_paid, assessment}
• school_ratings — array of {name, level, rating, distance}
• walk_score, transit_score, bike_score
• description, features, photos — listing imagery URLs
• days_on_market, days_on_zillow
• listing_agent, agent_phone, agent_email, broker
• mortgage_estimate_monthly

Use Cases

• Real-estate investors — find under-priced inventory (list vs Zestimate gap) in a target market
• Brokerages — generate CMAs (comparative market analyses) without paying MLS data fees on top of MLS dues
• PropTech builders — ingest US property inventory into search / valuation / iBuyer apps
• Hedge funds + REITs — track price-per-sqft trends by neighborhood at scale
• Appraisers — pull comps with full price history + tax history in a single call
• Relocation services — generate market-snapshot reports for corporate-relocation clients
• Academic + policy — fair-housing, school-rating, and gentrification studies

Quick Start (Python)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/zillow-scraper").call(run_input={
"search_urls":["https://www.zillow.com/homes/Austin,-TX_rb/"],
"max_listings":500,
"status":"for_sale"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["address"], item["list_price"], item["zestimate"])

Pricing — Pay Per Listing

• Actor start: $0.01
• Listing: $0.005

A 500-listing Austin pull = $2.51. A 50K-listing portfolio audit across 10 markets = $250.01. No monthly minimum, no seats.

Related NexGenData Real-Estate Actors

FAQ

Q: Coverage? A: Every US market Zillow indexes — 100M+ properties.

Q: How fresh is the data? A: Each run pulls live. Zestimates refresh daily on Zillow; list price + status updates flow within minutes of agent edits.

Q: Off-market / sold homes? A: Yes — status filter supports for-sale, pending, sold, off-market, for-rent.

Q: Schema stability? A: Versioned schema; breaking changes are announced via the actor changelog.

Q: Output formats? A: JSON, CSV, Excel via Apify dataset export. Webhooks supported on dataset write.

Q: Legal status? A: Public listing data extracted from public Zillow pages. You are the data controller for downstream use — follow your jurisdiction's data-use rules.

How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — 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 / item: charged per item written to the default dataset
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — 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 — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — 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 — high-demand features ship in the next version.

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