sg-property-scraper

name

sg-property-scraper

description

Search Singapore property rental and sale listings with flexible filters. Use when asked to search Singapore properties, find rental or sale listings, check property prices near MRT stations, or compare commute times. Supports filtering by listing type (rent/sale), property type (HDB/Condo/Landed), bedrooms, bathrooms, price range, size, TOP year, MRT station codes, distance to MRT, room type, availability, and commute time to a destination. Outputs JSON to stdout.

Singapore Property Scraper

Scrapes Singapore property listings via HTTP requests. Returns structured JSON.

Script Location

scripts/scrape.py

Relative to this SKILL directory. Run with:

python3 <SKILL_DIR>/scripts/scrape.py [OPTIONS]

Dependencies

• Python 3.8+
• pip install curl_cffi beautifulsoup4 lxml
• Optional: GOOGLE_MAPS_API_KEY env var for commute time calculation (Google Routes API)

Quick Start

# Search 2BR condos for rent under SGD 4000 near Circle Line
python3 scripts/scrape.py \
  --listing-type rent --bedrooms 2 --max-price 4000 \
  --property-type-group N --mrt-range CC:20-24 \
  --output json

# JSON input mode (easier for AI tools)
python3 scripts/scrape.py --json '{
  "listingType": "rent",
  "bedrooms": 2,
  "maxPrice": 4000,
  "propertyTypeGroup": ["N"],
  "mrtStations": ["CC20","CC21","CC22","CC23","CC24"]
}'

# Dry run: print URL only without scraping
python3 scripts/scrape.py --dry-run --listing-type rent --bedrooms 3

Filter Parameters

Flag	URL Param	Type	Description
--listing-type	listingType	string	rent or sale
--property-type-group	propertyTypeGroup	string (repeatable)	N=Condo, L=Landed, H=HDB
--entire-unit-or-room	entireUnitOrRoom	string	ent for entire unit only; omit for all
--room-type	roomType	string (repeatable)	master, common, shared
--bedrooms	bedrooms	int	-1=room, 0=studio, 1-5
--bathrooms	bathrooms	int	Number of bathrooms
--min-price	minPrice	int	Minimum price (SGD)
--max-price	maxPrice	int	Maximum price (SGD)
--min-size	minSize	int	Minimum size (sqft)
--max-size	maxSize	int	Maximum size (sqft)
--min-top-year	minTopYear	int	Minimum TOP year
--max-top-year	maxTopYear	int	Maximum TOP year
--distance-to-mrt	distanceToMRT	float	Max distance to MRT in km (e.g. 0.5, 0.75)

Bedroom/Room Logic

• --entire-unit-or-room ent --bedrooms 4 = 4-bedroom entire unit
• --entire-unit-or-room ent --bedrooms 0 = studio
• --bedrooms -1 --room-type master --room-type common = room rental (master or common room)
• Omit --entire-unit-or-room to show both entire units and rooms

MRT Station Syntax

• Individual station: --mrt-station CC20
• Range (same line): --mrt-range CC:20-24 (expands to CC20, CC21, CC22, CC23, CC24)
• Multiple lines: use multiple flags
• In JSON: "mrtStations": ["CC20", "EW15"] or [["CC", [20, 24]]] (tuple format)

See references/params.md for the complete list of ~213 valid MRT station codes.

Execution Parameters

Flag	Description
--pages N	Number of pages to scrape (default: 1)
--dry-run	Build and print URL(s), skip scraping
--no-validate	Skip parameter validation
--timeout N	HTTP request timeout in seconds (default: 30)
--raw-param K=V	Extra URL query param (repeatable)
--output json|text|none	Output format (default: json when piped)
--verbose	Verbose logging to stderr

JSON Input Mode

Pass filters as a JSON string with --json. Keys use camelCase matching the URL parameter names:

python3 scripts/scrape.py --json '{
  "listingType": "rent",
  "propertyTypeGroup": ["N"],
  "bedrooms": 2,
  "bathrooms": 2,
  "maxPrice": 4000,
  "mrtStations": ["EW16", "EW17", "EW18"],
  "distanceToMRT": 0.75,
  "minTopYear": 1990
}'

Or load from a file: --config filters.json

Output Format

JSON array on stdout (empty [] if no results):

[
  {
    "id": "23744236",
    "name": "Kingsford Waterbay",
    "price": "S$ 3,900 /mo",
    "psf": "S$ 4.53 psf",
    "address": "68 Upper Serangoon View",
    "bedrooms": "2",
    "bathrooms": "2",
    "area": "861 sqft",
    "type": "Condominium",
    "built": "Built: 2018",
    "availability": "Ready to Move",
    "mrt_distance": "14 min (1.15 km) from SE4 Kangkar LRT Station",
    "list_date": "Listed on Feb 15, 2026 (2d ago)",
    "agent": "May Chong"
     
     
     
     
     
  

Exit Codes

• 0: Success, results found
• 1: Error (bad parameters, scraping failure)
• 2: Success but zero listings found

Agent Usage Notes

When calling this script from an AI agent:

1. Use --output json for structured output (default when piped)
2. Use --json flag for easier parameter passing than individual CLI flags
3. Use --dry-run to preview the search URL before scraping
4. Use --pages N if the user wants more results (each page has ~20 listings)
5. Use --commute-to with a destination address to calculate commute times (driving + transit) for each listing. Requires GOOGLE_MAPS_API_KEY env var. If the key is not set, commute fields are omitted silently.
6. commute_driving and commute_transit fields are empty strings "" when API key is missing or calculation fails