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Zillow Scraper for CSV Property Listings logo

Zillow Scraper for CSV Property Listings

This Zillow scraper exports property listing cards from a Zillow location results page into a structured CSV. Import the workflow into the UScraper local desktop app, replace the starting Zillow URL, and collect address, price, beds, baths, square feet, listing URL, ZPID, image URL, status text, brokerage, and days-on-Zillow text without building a custom crawler.

Output

CSV

Columns

12

Pagination

Next page

Waits

45s + pauses

Template

Free

At a glance

Export Zillow listings to CSV from a location URL

This workflow is designed for location-driven research, such as a city, neighborhood, ZIP code, or saved Zillow search URL. The default Navigate block opens a San Francisco results page, but the important step is replacing that URL with the exact Zillow page you reviewed in a normal browser session. That keeps the scraper aligned with the search filters, map area, and listing type you actually need.

Use it when you need a quick Zillow listings scraper for comparable property review, inventory snapshots, broker research, or lead qualification. For keyword-first jobs, use the sibling Zillow Listing Scraper by Keyword. You can also compare real estate workflows with Realtor.ca Listing Scraper, Remax Listing Scraper, and the full UScraper template library.

Property-card fields

Capture the fields most analysts check first: address, price, bedrooms, bathrooms, square footage, listing status, broker text, image URL, listing URL, ZPID, and raw card text.

Pagination loop included

After each Structured Export pass, the workflow checks for an enabled Zillow next-page control, clicks it, waits for the page, scrolls again, and appends more rows.

Local desktop workflow

The stock template writes to a local CSV path and avoids routing your research set through a hosted scraping queue.

How to use

Configure the Zillow scraper workflow

1

Download and import

Download the hosted Zillow scraper JSON and import it into UScraper.

2

Replace the Navigate URL

Open Zillow manually, apply the city, map, price, home type, or listing filters you need, then paste that final results URL into the Navigate block.

3

Confirm the export path

Structured Export writes zillow-scraper.csv with headers and append mode. Change the save folder before running project-specific batches.

4

Run the page loop

UScraper sets a large browser viewport, waits for load, handles common consent prompts, scrolls to trigger cards, checks for rows, and exports each visible property card.

5

Open and review the CSV

Spot-check listing URLs, ZPIDs, prices, and address rows before joining the file with internal notes or downstream valuation workflows.

Output preview

What the Zillow CSV contains

The export is scoped to listing cards and keeps one row per visible property. Fields can be blank when Zillow hides a value, changes markup, or serves an access challenge, so treat the first run as a validation pass before scaling.

addresspricebedsbathsliving_area_sqftstatus_or_home_typebrokeragelisting_urlzpidimage_urldays_on_zillow_textcard_text
221 Oak St, San Francisco, CA 94102$1,245,000321420House for saleListing by Bay Realtyhttps://www.zillow.com/homedetails/221-Oak-St/123456_zpid/123456https://photos.zillowstatic.com/fp/sample.jpg7 days on Zillow$1,245,000 3 bd 2 ba 1,420 sqft 221 Oak St...
88 Mission Ave Unit 504, San Francisco, CA 94105$899,00022980Condo for saleMLSListings Inc.https://www.zillow.com/homedetails/88-Mission-Ave/789012_zpid/789012https://photos.zillowstatic.com/fp/condo.jpg12 days on Zillow$899,000 2 bd 2 ba 980 sqft 88 Mission Ave...
zillow-scraper.csv
CSV - UTF-8 - Append

Column

address

Visible property address from the Zillow card.

Column

price

Displayed listing price.

Column

beds

Bedroom count parsed from card text.

Column

baths

Bathroom count parsed from card text.

Column

living_area_sqft

Square footage normalized without commas.

Column

status_or_home_type

For sale, condo, house, open house, land, rent, or other visible type text.

Column

brokerage

Brokerage or listing-source text when Zillow exposes it.

Column

listing_url

Property detail link from the card.

Column

zpid

Zillow property ID parsed from the URL.

Column

image_url

First image URL on the listing card.

Column

days_on_zillow_text

Visible days-on-Zillow text when present.

Column

card_text

Full card text collapsed into one audit field.

Headers included - every paginated results page appends under the same 12 columns

Frequently asked questions

Zillow pages can be publicly visible and still governed by Zillow Terms of Use, robots directives, data licensing rules, privacy laws, and local real estate regulations. Use conservative pacing, do not bypass access controls or CAPTCHA, avoid republishing protected listing content, and get legal review before commercial reuse.

Before you run

Limits and maintenance notes

Keep these constraints visible

Rate limits

Zillow can throttle or challenge automated sessions

Run modest batches, avoid parallel scraping, and pause when a CAPTCHA, geoblocking page, or unusual response appears.

Selector drift

Dynamic card markup can change

Missing fields usually mean Zillow changed labels, hid data on that card, or served a different layout. Refresh the export mapping before relying on a long batch.

Compliance

Review platform rules before reuse

Check Zillow Terms of Use, robots guidance, and your internal data policy before using rows for resale, outreach, enrichment, model training, or public redistribution.

Download the free template, install the local desktop app from UScraper download, and keep the hosted Zillow scraper JSON versioned with each research run.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]