Realtor.com Property Listings Scraper avatar

Realtor.com Property Listings Scraper

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Realtor.com Property Listings Scraper

Realtor.com Property Listings Scraper

Collect property listings from Realtor.com with prices, photos, agent contacts, and full property details. Search by location, filter by beds, baths, price range, square footage, lot size, and listing status. Supports for-sale, for-rent, and recently sold listings across all US markets.

Pricing

Pay per event

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ParseForge

ParseForge

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6 days ago

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🏠 Realtor.com Property Listings Scraper

Collect structured Realtor.com property listings from search pages or direct start URLs in minutes. This actor is built for real estate analysts, investment teams, lead generation workflows, and operations teams that need clean listing data without manual browsing.

Use it to monitor prices, compare inventory by area, track listing freshness, analyze property specs, and export listing data for reporting, benchmarking, and acquisition research.

The Realtor.com Property Listings Scraper returns 60+ structured output fields, including pricing, specs, geodata, listing status signals, and optional detail metadata like tax history, schools, and risk context.

✨ What Does It Do

  • 🧭 Collect listings using either startUrl/startUrls or search/filter inputs.
  • πŸ’΅ Capture list price, sold signals, source price per sqft, and calculated pricing metrics.
  • πŸ“ Extract address, city, state, ZIP, county, and coordinates for mapping and geographic analysis.
  • 🏘 Parse listing specs such as beds, baths, sqft, lot size, property type, and year built.
  • πŸ‘€ Capture brokerage and agent listing fields when available.
  • πŸ–Ό Return media fields including main image, photo gallery, and virtual tour links.
  • βœ… Extract status flags like new listing, reduced price, foreclosure, pending, and contingent.
  • πŸ“Š Add value fields like listing age, sold age, price per bedroom, price per bathroom, school coverage, and latest tax indicators.
  • πŸ”Ž Optionally enrich each listing with history, taxHistory, nearbySchools, localRisk, and floorplans.

πŸ“‹ How to Use

No technical skills required.

  1. Sign Up: Create a free account w/ $5 credit
  2. Open the Actor: Find the Realtor.com Property Listings Scraper in the Apify Store.
  3. Set Your Input: Use URL mode or search/filter mode (not both).
  4. Run the Actor: Start the run and let it collect listing data.
  5. Download the Results: Export your dataset in CSV, Excel, or JSON.

πŸ“Š Data fields

Each record includes: addressLine, agentName, averageSchoolRating, bathsConsolidated, beds, city, hasHistory, hasNearbySchools, hasOpenHouse, hasTaxHistory, hasVirtualTour, imageUrl, lastUpdateDate, latestTaxAmount, latestTaxYear, listDate, listingAgeDays, listPrice, lotSqft, officeName, postalCode, pricePerSqft, pricePerSqftCalculated, propertyType, scrapedAt, soldDate, soldOn, sqft, stateCode, status, streetViewUrl, url, yearBuilt. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

πŸš€ How to use

  1. πŸ“ Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the Realtor.com Property Listings Scraper page on the Apify Store.
  3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
  4. πŸš€ Run it. Click Start and let the Actor collect your data.
  5. πŸ“₯ 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.

πŸ’‘ Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

❌ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Realtor.com or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

πŸ†˜ 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.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.