🏠 Zillow Scraper

🚀 Collect property listings from Zillow.com in minutes. Filter by location, price, bedrooms, bathrooms, square footage, lot size, and year built. Export full property data, Zestimates, agent info, and photos. No coding, no Zillow API key.

The Zillow Scraper collects residential property listing data from Zillow.com, returning 20+ fields per property: address, price, Zestimate, price per square foot, bedrooms, bathrooms, square footage, lot size, year built, property type, listing agent, photos, coordinates, and direct URL. Runs support up to 1,000,000 properties on a paid plan.

The Actor supports two input modes: direct Zillow URLs and search-filter mode. Filters include location (city, state, ZIP), price range, bedrooms, bathrooms, square footage range, lot size, year built, and sort order. Paste any Zillow search URL or let the filters build the query for you.

🎯 Target Audience	💡 Primary Use Cases
Real estate investors, agents, brokers, appraisers, market analysts, data scientists, property managers	Market research, investment analysis, comp building, lead generation, portfolio monitoring, pricing strategy

📋 What the Zillow Scraper does

Two input modes with eight filters:

• 🔗 URL mode. Paste any Zillow search or listing URL. All filter parameters are extracted automatically.
• 📍 Search filter mode. Enter a location (city, state, or ZIP) and apply price, bedroom, bathroom, sqft, lot size, and year-built filters.
• 📊 Sort options. Sort results by price, newest, most bedrooms, square footage, or lot size.

Each property record includes address, city, state, ZIP, price, Zestimate, price per sqft, bedrooms, bathrooms, square footage, lot size, year built, property type, listing agent name and company, primary image URL, photo gallery, latitude/longitude, and property URL.

💡 Why it matters: tracking property listings manually means scrolling through Zillow pages, copying data into spreadsheets, and refreshing daily for new listings. This Actor exports structured property data at scale, ready for your investment models, CRM, or market dashboards.

📊 Data fields

Each record includes: address, agent_company, agent_email, agent_name, agent_phone, bathrooms, bedrooms, city, coordinates_lat, coordinates_lng, description, hoa_fees, images, lot_size, posted_date, price, price_per_square_foot, primaryImageUrl, property_type, scrapedTimestamp, square_feet, state, tags, url, year_built, zestimate, zip_code, zpid. All 28 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ Good to Know: you can apply filters on Zillow's website (price, beds, baths, home type, etc.), then copy the URL and paste it as startUrl. The Actor respects all parameters embedded in the URL.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Zillow Scraper page on the Apify Store.
3. 🎯 Set input. Enter a location or paste a Zillow URL. Set price range, beds, baths, and maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more real estate scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Zillow Group, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. Only publicly available listing data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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