Listing intelligence for real estate teams
Pull structured listing data from real estate portals, brokerages, and rental platforms — for market analysis, comparable pricing, and lead generation.
- Zillow
- Redfin
- Realtor.com
- Rightmove
- Zoopla
- Idealista
- Funda
- ImmoScout24
- Trulia
- Airbnb
- Vrbo
- Booking.com (rentals)
Where real estate data aggregation falls apart
Three structural gaps every market analysis or brokerage team eventually hits.
- 10+Portals + MLS sites per market
Listings live across many portals
Zillow, Redfin, Realtor, regional MLS sites — the same property appears (and is priced) differently across each. Manual aggregation is impossible.
- WeeksSold listings staying live
Stale inventory inflates your numbers
Sold properties stay listed for weeks. Without automated lifecycle tracking, your market analysis reflects yesterday's reality.
- ConstantlyPortal redesigns breaking scrapers
In-house scrapers break on every update
Real estate portals redesign frequently. In-house scrapers break, engineering time disappears, data goes stale during the rebuild.
What Scrapewise actually does for real estate teams
Three things, simply: cross-portal aggregation, lifecycle tracking, and self-healing scrape infrastructure.
Cross-portal aggregation
Pull listings from Zillow, Redfin, Realtor, and regional portals into one normalized schema — same property, comparable.
Daily lifecycle tracking
New, price-changed, sold/removed listings tracked automatically. Your market analysis reflects today, not last month.
Self-healing infrastructure
When portals update layout, our system adapts. No engineering team chasing broken scrapers.
How a real estate team gets up and running
Five steps from blank canvas to live listing data flowing into your CRM.
- 01
Pick your portals + markets
Major listing portals, regional MLS sites, brokerage pages, rental platforms — whichever sources matter for your market.
- 02
Configure listing scrape templates
Tell Scrapewise which fields to extract — price, sqft, beds, baths, location, listing date, status. No code.
- 03
Run + verify normalization
First refresh runs in minutes. Confirm cross-portal schema normalization matches your CRM expectations.
- 04
Pipe into your CRM / BI
CSV, Google Sheets, REST API, webhooks. Salesforce, HubSpot, Power BI, your in-house market analysis tool.
- 05
Add lifecycle tracking
Layer new-listing alerts and sold-removal detection on top of the same data infrastructure.
What you can build on top of Scrapewise real estate data
Each real estate team need maps to a specific Scrapewise use case. Pick the one matching your mandate.
- Industry needTrack listings + price changes dailyUse caseReal estate data extractionRead more →
- Industry needPull listing data into CRM / BIUse caseProduct data extractionRead more →
- Industry needRun market analysis across regionsUse caseE-commerce market researchRead more →
- Industry needTrack rental + STR pricingUse caseTravel + hospitality data extractionRead more →
- Industry needFeed AI valuation + recommendation modelsUse caseData for AI and LLMsRead more →
Real Estate Listing Data That Stays Fresh
Cross-Portal Listing Aggregation
Pull listings from Zillow, Redfin, Realtor, and regional portals into a single normalized schema. Compare the same property across sources without manual reconciliation.
Daily Refresh + Listing Lifecycle Tracking
New listings, price changes, and sold/removed listings tracked automatically. Your market analysis reflects today, not last month.
Self-Healing on Site Redesigns
When portals update their layout, our infrastructure adapts automatically. Your engineering team stops fighting scrapers and goes back to building product.
From Stale Inventory Reports to Live Market Visibility
Real estate teams using Scrapewise replace stale market reports with continuously refreshed listing data. New listings show up the day they hit portals; sold listings disappear when they should.
- ✕ Engineering team consumed by scraper maintenance
- ✕ Listing schemas don't normalize across portals
- ✕ Sold/removed listings inflate inventory numbers
- ✕ Rental market dynamics invisible
- ✕ Coverage limited to the 1-2 portals you can maintain
- ✓ Self-healing infrastructure — no maintenance burden
- ✓ Normalized schema across all portals
- ✓ Listing lifecycle (new, price-changed, sold) tracked automatically
- ✓ Rental and short-term rental dynamics included
- ✓ Coverage scales to every portal that matters in your market
Plugs into the tools real estate teams already run
Pipe Scrapewise listing data into your CRM, BI, and market analysis stack.
Salesforce
CRM
HubSpot
CRM
Power BI
BI / dashboards
Tableau
BI / analytics
Google Sheets
Spreadsheet sync
Excel / CSV
Direct export
Snowflake
Data warehouse
Webhooks + REST API
Custom integrations
If you can hit a webhook or read a Google Sheet, you can integrate Scrapewise.
Adjacent capabilities for real estate teams
Use cases, comparisons, and reading you'll likely need once your real estate data layer is live.
Use cases
Compare alternatives
A New Listing Just Hit The Portal. Did Your Team Notice?
Stop running real estate market analysis on stale, manually-collected data. Scrapewise gives real estate teams the structured listing data layer they need to actually move first.
Frequently Asked Questions
Common questions from real estate market analysis, brokerage, and rental teams.
Yes. Real estate scraper coverage includes major US portals (Zillow, Redfin, Realtor) and equivalent international and regional sites. Listings are normalized into a consistent schema.