Can I export data from Zillow to Excel directly?

Zillow has no built-in export button for property data. The practical options are copying by hand, browser extensions of varying reliability, or pulling the data through a property data API and writing it to CSV — which is the only approach that works for hundreds or thousands of properties.

How many properties can I export at once?

Through the APIllow API, up to 1,000 properties per request — an entire ZIP code or a full address list in one call, delivered as JSON you can flatten to CSV.

What fields are included in the export?

Each property returns 50+ fields: address, price, Zestimate, rent Zestimate, beds, baths, square footage, lot size, year built, price history, tax history, schools, HOA fees, listing agent, and photo URLs.

How to Export Zillow Data to Excel or CSV (2026 Guide)

Whether you're an investor building a deal pipeline, an agent prepping a farm-area analysis, or an analyst who just needs comps in a spreadsheet, you've hit the same wall: Zillow has no export button. The data is right there on the screen — prices, Zestimates, beds, baths, tax history — and there is no way to get it into Excel short of copying cells by hand.

This guide shows the reliable way to do it in 2026: pull the data through an API and write it to CSV. If you can run one Python script, you can export a thousand properties in a few minutes. No scraping, no browser extensions, no copy-paste.

Why there's no "Download CSV" on Zillow

Zillow monetizes attention on its own pages and licenses bulk data through enterprise channels, so a public export feature has never existed — and browser-extension workarounds break every time the site changes. Extensions also top out at whatever's visible on the page, which caps you at a few dozen rows per search. Anything serious needs the data layer underneath: an API. (If you're weighing building a scraper instead, read why that's harder than it looks first.)

Step 1: Get a free API key

Sign up at apillow.co with an email address. The free tier includes 50 property lookups a month — enough to build and test your export before putting any money down. Paid plans start at $9.99/month when you need volume.

Step 2: Decide what goes in the spreadsheet

You can export by address list (you already have the properties — a mailing list, a CRM export, a county records pull) or by ZIP code (you want everything currently listed in an area). One API call handles up to 1,000 properties either way.

Step 3: Run the export script

This is a complete, ready-to-run export: it sends the request, waits for the batch job to finish, flattens the JSON, and writes zillow_export.csv:

import csv, time, requests

API = "https://api.apillow.co"
KEY = "YOUR_API_KEY"
HDRS = {"x-api-key": KEY}

# By ZIP code — or use {"addresses": [...]} for an address list
job = requests.post(f"{API}/v1/properties", headers=HDRS, json={
    "zipcodes": ["44124"],
    "type": "for_sale",
    "max_items": 200,
}).json()

# Small requests return results immediately; big ones return a job_id
while job.get("status") not in ("complete", "failed", None):
    time.sleep(5)
    job = requests.get(f"{API}/v1/results/{job['job_id']}", headers=HDRS).json()

COLS = ["address", "price", "zestimate", "rent_zestimate",
        "bedrooms", "bathrooms", "living_area", "year_built"]

with open("zillow_export.csv", "w", newline="") as f:
    w = csv.DictWriter(f, fieldnames=COLS, extrasaction="ignore")
    w.writeheader()
    for r in job["results"]:
        w.writerow({c: (r.get("property") or r).get(c) for c in COLS})

print("Wrote zillow_export.csv")

Open the file in Excel or Google Sheets and you have live Zillow data in rows and columns. Swap the COLS list for any of the 50+ available fields — price_history and tax_history come back as nested lists, so keep those in a separate tab if you need them. Full field reference is in the API docs, and there's a deeper walkthrough of the API itself in the Python tutorial.

Step 4 (optional): straight to Excel with pandas

If you'd rather skip CSV and land directly in .xlsx:

import pandas as pd

rows = [(r.get("property") or r) for r in job["results"]]
pd.json_normalize(rows).to_excel("zillow_export.xlsx", index=False)

json_normalize flattens every field automatically, so the workbook contains all columns without listing them by hand.

What a typical export looks like

address	price	zestimate	bedrooms	living_area
1874 Bromton Dr, Lyndhurst OH	289,000	312,400	4	2,080
5288 Meadow Wood Blvd…	315,000	—	3	1,946
1462 Summit Ave…	224,900	—	3	1,479

Those dashes aren't bugs: Zillow suppresses the Zestimate on many active listings, so the field is often empty for homes currently for sale. The Zestimate API guide explains the pattern and the fallback logic to use.

Scaling up: thousands of addresses

Each request handles up to 1,000 properties, so a 10,000-address list is ten API calls in a loop. At Pro-plan rates that works out to roughly $0.003 per property — about $30 for the full list, with results in structured columns instead of an afternoon of copy-paste per hundred rows. Cost math across all providers is in the pricing comparison.

Your first export is free

50 lookups a month on the free tier — enough to test the script above on a real ZIP code today.

Get API Key

Final takeaway

Zillow will never ship an export button, but you don't need one. An API key, one script, and any list of addresses or ZIP codes becomes a spreadsheet — repeatably, and without fighting the website.