Zillow Motivated Seller Leads — price cuts, stale listings, under-assessed homes

Not a list of houses for sale. A ranked list of owners who look ready to deal.

See it run

Every lead carries a 0-100 motivation score and the reasons behind it, so you can see in one glance why it scored:

85 | 1704 Shelbourne Dr, Austin, TX 78752
   $395,000 | 3bd 2ba | 201 days | SINGLE_FAMILY
   price cut $25,000 · 201 days on market · 34% under assessed value

That is a real lead from a test run. A house that has sat for 201 days, cut its price by $25,000, and is listed a third below what the county says it is worth.

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What the score is built from

Signal	Points	Why it matters
Price cut of $25,000 or more	30	A published cut is a public admission the first price failed
Any price cut	20
Cut of 10% or more off the original	15	Size of the climb-down
120+ days on market	25	The listing is stale and the seller knows it
60-119 days	15
30-59 days	5
20%+ under county assessed value	20	Distress, or a hurry
10-19% under assessed	10
For sale by owner	15	No agent in the middle
Pre-foreclosure auction	30	The strongest signal there is

What is deliberately not scored: Zillow marks nearly every listing as absentee-owned, so that flag cannot tell one lead from another. It ships on the record as a filter, and scores zero. A signal that is always true is not a signal.

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What you get per lead

Address, city, state, ZIP, coordinates. Price, price change amount, the price-cut label with its date, days since the cut. Days on market. County assessed value and the percentage the asking price sits below it. Beds, baths, living area, lot size, home type, status. For sale by owner, by agent, new construction, pre-foreclosure. Broker name, photo, and the Zillow link.

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Example inputs

Strong leads only, three cities

{
  "locations": ["Cleveland, OH", "Memphis, TN", "Birmingham, AL"],
  "minMotivationScore": 60,
  "pagesPerLocation": 5
}

Stale listings under $300k that have already cut

{
  "locations": ["Austin, TX"],
  "onlyPriceCuts": true,
  "minDaysOnMarket": 90,
  "maxPrice": 300000
}

Everything in a ZIP, unscored, for your own analysis

{
  "locations": ["78702"],
  "minMotivationScore": 0,
  "pagesPerLocation": 10
}

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Who buys this

• Real estate investors and wholesalers — this is the list they pay $100+/month for elsewhere, and the reason they pay is exactly the motivation signal.
• Cash-buyer and "we buy houses" operators — the price cut plus days on market pair is their whole targeting.
• Buyer's agents — clients want the house that will take an offer, not the one that just listed.
• Renovation and flip firms — under-assessed plus long on market is the profile.
• PropTech and analytics teams — a clean price-cut history across ZIPs.

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Reliability, said plainly

Zillow refuses about half of all requests, and nearly all from datacenter IPs. This Actor is built around that fact rather than pretending otherwise:

• Every request goes through a US residential exit with a browser-grade fingerprint.
• Each retry leaves from a different exit, because retrying on a refused address just gets refused again. Up to six attempts per page.
• RUN_SUMMARY reports pages served, pages refused and megabytes used, so you can see what the run actually cost.
• A page that never comes through is logged and skipped; the sweep continues to the next location.

About 41 homes per page, and Zillow stops paginating past 20 pages per search.

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Pricing

Pay per delivered lead. Filtered-out listings cost you nothing — you are charged only for records that reach your dataset, after the score and filters have run. Leads arrive sorted by motivation score, so a capped run keeps the best ones.

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Data source

Public property listings on Zillow. Records are property listings and their public marketing data. No personal data about owners or buyers is collected.