Madlan Deal Analyzer — Find Underpriced Israeli Real Estate

AI-powered deal finder that identifies underpriced apartments and houses on Madlan.co.il by comparing active listings against recent transaction data from the Israeli land registry. Every listing gets a deal score (0-100) so you can instantly spot below-market opportunities.

Features

• Deal scoring — every listing rated 0-100 based on how far below estimated market value it's priced
• Real transaction comparisons — compares active listings against recent land-registry sales, not other listings
• Neighbourhood-level analysis — benchmarks each property against deals in the same neighbourhood, not the whole city
• Estimated market value — AI-derived fair price for each listing, based on rooms, sqm, and neighbourhood comparables
• Plain-English insights — Hebrew/English text explaining why each listing is a deal (e.g. "18% below comparable 3-room apartments in Florentin")
• 140+ Israeli cities — scan Tel Aviv, Jerusalem, Haifa, Ramat Gan, or all cities at once
• Neighbourhood ratings — each deal includes safety, school, and community scores from Madlan
• Configurable thresholds — tune minScore from 55 (more deals, lower quality) to 80+ (only screaming deals)

Use Cases

• Real estate investors scanning Tel Aviv and Ramat Gan daily for 15%+ below-market buy opportunities before competing investors spot them
• Buy-side agents building a pipeline of underpriced listings to pitch to investor clients with quantified discount evidence
• Property flippers identifying undervalued apartments in renovating neighbourhoods (Florentin, Kiryat Yovel) with room for value-add
• Real estate funds sourcing deal flow at scale across multiple cities, filtered by minimum score and neighbourhood
• Mortgage originators and brokers validating that borrower-stated purchase prices are reasonable (or flagging overpayment risk)
• PropTech startups powering deal-alert products, investor dashboards, and AVM comparables without building the transaction-matching engine themselves

How It Works

1. Fetches active listings from the target city/neighbourhood on Madlan
2. Pulls recent land-registry transaction history for the same area
3. For each listing, finds comparable deals (same rooms, similar sqm, same neighbourhood)
4. Computes a fair market estimate from the comparables
5. Scores the listing: bigger discount = higher score
6. Returns only listings with score ≥ minScore, sorted best-first

Input

Field	Type	Default	Description
city	string	"Tel Aviv"	City name (Hebrew/English), comma-separated, or "all"
dealType	string	"buy"	Only "buy" is supported (rental transactions aren't in the Israeli land registry)
neighbourhood	string	—	Filter to specific neighbourhoods (Hebrew names, comma-separated)
minScore	integer	65	Minimum deal score to include (0-100). 65 = below market, 75+ = great deal
maxListings	integer	500	Max active listings to analyze per city
monthsBack	integer	120	Months of transaction history to use. Israeli land registry lags 5-7 years, so keep this high

Example Input

{
  "city": "Tel Aviv",
  "neighbourhood": "פלורנטין, שפירא",
  "minScore": 70,
  "maxListings": 500,
  "monthsBack": 120
}

Output

Each returned deal includes:

Field	Type	Description
listingId	string	Unique Madlan listing ID
url	string	Direct link to the listing on Madlan
address	string	Full address
neighbourhood	string	Neighbourhood name in Hebrew
city	string	City name in English
cityHebrew	string	City name in Hebrew
askingPrice	number	Asking price in ILS
askingPricePerSqm	number	Asking price per sqm
rooms	number	Number of rooms
areaSqm	number	Area in sqm
floor	number	Floor number
condition	string	Property condition (renovated, new, etc.)
propertyType	string	Apartment, penthouse, house, etc.
images	array	Listing image URLs
dealScore	number	0-100 deal score (higher = better deal)
discountPercent	number	% below estimated market value
comparableDeals	number	How many recent transactions were used as comparables
avgComparablePricePerSqm	number	Average price/sqm of comparables
medianComparablePricePerSqm	number	Median price/sqm of comparables
estimatedMarketValue	number	Fair price based on comparables
insight	string	Plain-language explanation of why this is a deal
neighbourhoodStats	object	Neighbourhood avg/median prices, deal count, and ratings (safety, schools, community)
scrapedAt	string	ISO 8601 timestamp

Example Output

{
  "listingId": "m7k2pq91",
  "url": "https://www.madlan.co.il/listings/m7k2pq91",
  "address": "ז'בוטינסקי 142, תל אביב יפו",
  "neighbourhood": "פלורנטין",
  "city": "Tel Aviv",
  "cityHebrew": "תל אביב יפו",
  "askingPrice": 2450000,
  "askingPricePerSqm": 38281,
  "rooms": 3,
  "areaSqm": 64,
  "floor": 2,
  "condition": "משופצת",
  "propertyType": "apartment",
  "dealScore": 78,
  "discountPercent": 17.4,
  "comparableDeals": 12,
  "avgComparablePricePerSqm": 46300,
  "medianComparablePricePerSqm": 45800,
  "estimatedMarketValue": 2965000,
  "insight": "Priced 17% below comparable 3-room apartments recently sold in Florentin. 12 comparable deals averaged ₪46,300/sqm vs. this listing's ₪38,281/sqm.",
  "neighbourhoodStats": {
    "name": "פלורנטין",
    "avgPricePerSqm": 46300,
    "medianPricePerSqm": 45800,
    "dealCount": 142,
    "avgPrice": 2950000,
    "ratings": { "safety": 7.2, "schools": 6.8, "community": 8.1 }
  },
  "scrapedAt": "2026-04-20T10:30:00.000Z"
}

Tips

• Start with minScore: 65 to see inventory, then raise to 75+ once you learn your market
• Use monthsBack: 120 or higher — Israeli land-registry data lags real-time by years
• Filter by neighbourhood for the sharpest signal — city-wide averages hide intra-city variation
• Run daily or hourly via Apify schedules to catch new listings before other investors

Also Available

• Yad2 Real Estate Scraper — Israel's #1 classifieds, 800+ listings per city
• Madlan Real Estate Scraper — Israel's most data-rich property platform
• Madlan Market Analytics — neighbourhood-level market data, demographics, insights
• Homeless.co.il Scraper — one of Israel's oldest real estate classifieds
• Spitogatos Scraper — Greece & Cyprus real estate listings

Keywords

Madlan deal analyzer, Israeli real estate deals, underpriced apartments Tel Aviv, Israel property investment tool, real estate deal scoring, below market listings Israel, Israeli land registry comparables, AVM Israel, Tel Aviv investment properties, Jerusalem real estate deals, Israeli property analytics, Madlan transaction data, real estate arbitrage Israel