Real estate researchers
Market scans
Collect comparable listings for a city or neighborhood, then sort by price, beds, baths, and square footage before deciding which properties deserve manual review.
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This Zillow listing scraper turns a Zillow keyword or city search into a structured CSV for property research. The template opens the configured search page, waits for listing cards to settle, exports price, beds, baths, square feet, address, status, image URL, property URL, and listing source, then uses a guarded next-page loop to continue until Zillow blocks, CAPTCHA appears, or no more results are available.
CSV export
10
Guarded next
45s + pauses
Free template
At a glance
Built around listing-card exports
The workflow scopes each row to a Zillow property card and extracts the fields analysts usually need first: price, bed and bath counts, square footage, status, address, listing source, and the clean property URL.
Handles pagination carefully
Each page is exported before the template checks for a CAPTCHA frame. If the page is clear and a next link exists, it navigates by URL instead of relying on a fragile physical click.
Keeps output on your machine
This is a local desktop app workflow. The stock template writes a CSV to your configured folder and does not send listing rows to a cloud scraper queue.
Free import, no API key
Use the hosted JSON as a starting Zillow property scraper when a full custom integration or paid marketplace actor is more than the research task needs.
Who this is for
Real estate researchers
Market scans
Collect comparable listings for a city or neighborhood, then sort by price, beds, baths, and square footage before deciding which properties deserve manual review.
Investors and analysts
Deal screening
Build a repeatable Zillow listings CSV workflow for snapshotting active, pending, or sold-looking cards and joining them with internal underwriting notes.
Agencies and operators
Lead preparation
Export property URLs and listing sources for follow-up research, then enrich selected rows with sibling tools such as the PAP.fr Immobilier Data Scraper, Belles Demeures Listings Scraper, or Airbnb Room Scraper where those markets apply.
How to use
Run your first Zillow export
Download and import
Use the page CTA to download the hosted Zillow scraper JSON, then import it into UScraper.
Set the search URL and keyword
The sample opens https://www.zillow.com/seattle-wa/ and writes Seattle as the keyword. Replace both values when you want another city, ZIP, or keyword-defined search.
Run the guarded loop
UScraper sets the browser size, navigates, waits for load, accepts common consent prompts, sleeps briefly, and exports the visible listing cards.
Open the CSV
The export block appends rows to zillow-scraper-by-keywords.csv with headers enabled, so repeated runs can stack new pages underneath the same columns.
Output preview
zillow-scraper-by-keywords.csvColumn
keyword
The configured search keyword or city label, such as Seattle.
Column
image_url
Listing image URL when Zillow exposes an image on the card.
Column
house_url
Clean property detail URL without tracking query parameters.
Column
price
Displayed price parsed from listing card text or accessibility labels.
Column
bedroom_s_
Bedroom count from card text or embedded page data when available.
Column
bathroom_s_
Bathroom count from card text or embedded page data when available.
Column
square_feet
Living area value normalized without comma separators.
Column
status
Active, Pending, Sold, or For rent based on visible card text.
Column
address
Street and locality from Zillow card address, link label, or image alt text.
Column
listing_by
Broker, MLS, realty, or listing source text when visible.
Sample rows
2 of many
| keyword | image_url | house_url | price | bedroom_s_ | bathroom_s_ | square_feet | status | address | listing_by |
|---|---|---|---|---|---|---|---|---|---|
| Seattle | $829,000 | 3 | 2 | 1680 | Active | 1234 Lakeview Ave, Seattle, WA 98102 | Listing by Cascade Realty | ||
| Seattle | $615,000 | 2 | 1.5 | 1044 | Pending | 88 Pine St Unit 502, Seattle, WA 98101 | MLS GRID |
Zillow listings may be publicly visible and still governed by Zillow Terms of Use, data licensing rules, robots guidance, privacy laws, and local real estate regulations. Use conservative pacing, do not bypass access controls, avoid republishing protected listing content, and get legal review before commercial reuse.
Limits and maintenance
Guardrails for reliable Zillow scraping
The workflow stops when Zillow challenges the browser
The graph checks for CAPTCHA or PerimeterX iframes after each export pass. If a challenge appears, it routes to End instead of repeatedly retrying.
Listing-card layouts can change
Empty price, bed, bath, square-foot, or broker fields usually mean Zillow changed markup or hid the value on that card. Refresh the workflow before trusting a long export.
Review Zillow rules before reuse
Check Zillow Terms of Use, data/API terms, and your internal acceptable-use policy before using rows for resale, enrichment, outreach, model training, or public redistribution.
Use this export Zillow listings workflow alongside the full UScraper template library, install the local desktop app from uscraper.io/download, and keep the downloaded Zillow scraper template JSON versioned with your real estate research process.
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