Property listings and prices, delivered.

Real Estate Data Scraping: Zillow, Realtor.com & Redfin

In simple words: We collect property listings, prices and agent details from sites like Zillow, Realtor.com and Redfin and deliver them to your spreadsheet.

Comprehensive property data extraction and market intelligence from Zillow, Realtor.com, Redfin and other portals: listings, prices, history and agent details.

✓ Fiverr Pro · 900+ orders✓ Reply within a few hours✓ You own the code
Real Estate Data Scraping: Zillow, Realtor.com & Redfin
PythonAPIsApify

For example: An investor reviewed new listings in three markets by hand every week. The investor now reviews a short list of matching deals every Monday. See how we did it ↓

The problem

Why teams come to us

Real estate decisions need accurate, current market data, and copying listings by hand is slow and error-prone.

What you get

  • Property listings by address, MLS number, coordinates, URL or ZPID
  • For sale, for rent, sold, FSBO, pending, coming soon and foreclosures
  • Price, beds, baths, area, days on market, estimates and coordinates
  • Agent details, reviews, past sales and active listings
  • Price trend and market comparison data
  • Automated updates in CSV, Excel, Sheets or JSON

Benefits

What changes for your team

01

Access comprehensive market data

02

Monitor competitor listings in real time

03

Identify underpriced properties quickly

04

Track market trends over time

05

Build lead lists of property owners or agents

How it works

From first call to working result

  1. 1

    Discovery call

    A free 30-minute call to map your goal, sources, volume and where the result should land. NDA on request.

  2. 2

    Sample first

    We build a small working sample so you can check fields, format and quality before the full build.

  3. 3

    Build & test

    We build the full solution, test it on real data and edge cases, and share progress as we go.

  4. 4

    Deliver & support

    You get the result, the source code and short handover notes, plus fixes during the support window.

Example project

A weekly deal-screening feed

The challenge
An investor reviewed new listings in three markets by hand every week.
What we built
We built a feed that pulls new listings with price history and estimates into a sheet with the investor's filters applied.
The outcome
The investor now reviews a short list of matching deals every Monday.

An illustrative example of a typical zillow, Realtor & Redfin data engagement.

A weekly deal-screening feed

Use cases

Where this helps

Investment deal screeningRental market analysisAgent recruitmentMarket reports

Tech stack

Tools we use

PythonAPIsApifyPlaywrightPostgreSQL

FAQ

Questions about zillow, Realtor & Redfin data

Which real estate sites do you support?

Zillow, Realtor.com, Redfin and many other portals and MLS-style sources, using public data.

Can you track changes over time?

Yes, scheduled runs capture price changes, status changes and days on market.

Do you provide owner phone numbers?

No. We work with public listing and agent data only, not skip-traced personal data.

Related services

Often combined with

Ready to talk about zillow, Realtor & Redfin data?

Send a short brief or book a call. A senior engineer replies within a few hours.

Book a free call ↗