HouseSigma Scraper

Pull Canadian real estate from HouseSigma at scale — for-sale, sold, and for-lease listings with HouseSigma's signature AI home-value estimate, full price-history timelines, MLS numbers, taxes, condo fees, square footage, and GPS coordinates in clean, analysis-ready rows. Search any city or paste a HouseSigma URL and get back structured data instead of copy-pasting one listing at a time. Built for Canadian real estate investors, agents, and market analysts who need HouseSigma's valuation and listing data in bulk without manual page-by-page collection.

Why This Scraper?

• HouseSigma's AI home-value estimate on every listing — even sold ones — the machine-learned estimate that HouseSigma is known for, captured for for-sale, for-lease, and sold properties alike, ready for underwriting and CMA work.
• Full price-history timeline with dated events — every list, sold, leased, and price-change event for a property, each with its date, price, and event type — not just the current asking price.
• 7 property types × 3 listing statuses of filtering — Detached, Semi-Detached, Townhouse, Condo Apartment, Condo Townhouse, Multiplex, and Land, crossed with For Sale, Sold, and For Lease.
• ~28 structured fields per listing — MLS number, list price, beds/baths, square footage, lot size, annual property tax, monthly maintenance/condo fee, days on market, and full listing description in one flat row.
• Split address plus GPS coordinates — street, city, province, postal code, and community broken into separate fields, with latitude/longitude on every listing for mapping and geo-analysis.
• Up to ~48 photo URLs per listing — the full gallery, available as an optional toggle for the lightest possible runs when you don't need images.
• Search by city name or paste any HouseSigma URL — type "Toronto, ON" or "Mississauga", or drop in a regional search or single-property HouseSigma link; filters baked into a URL are applied automatically.
• Analysis-ready numeric output — prices, beds, baths, taxes, and fees arrive as numbers, not raw strings like "$1,250,000", so they drop straight into spreadsheets and dashboards.

Use Cases

Investment Analysis

• Compare HouseSigma's AI estimate against the list price to spot under- or over-priced listings
• Underwrite deals using days-on-market, property tax, and maintenance-fee data in one row
• Track price-change events over time from the price-history timeline
• Screen for cash-flow candidates by condo fee and property type

Comparative Market Analysis (CMA)

• Pull recently sold listings with their HouseSigma estimate to build comps
• Group sold and active listings by community and property type for a like-for-like view
• Benchmark list-to-estimate spreads across neighbourhoods

Lead Generation

• Build lists of fresh for-sale and for-lease listings by city and property type
• Target newly listed homes using days-on-market and list-date fields
• Filter to specific property types (condos, detached, multiplex) for niche outreach

Market Research & Trends

• Map inventory by city, community, and status across Ontario and beyond
• Track for-lease supply and pricing versus for-sale inventory
• Measure absorption with days-on-market and list/sold dates over a region

Data Enrichment

• Enrich an existing property database with MLS numbers, GPS coordinates, and estimates
• Feed structured HouseSigma rows into analytics dashboards and BI tools
• Geocode and plot listings using built-in latitude/longitude

Getting Started

Search a Single City

The simplest run — type a city and go:

{
    "searchLocations": ["Toronto, ON"],
    "maxResults": 50
}

Filtered Search with Full Detail and Photos

Detached homes for sale, enriched with price history, taxes, and the full photo gallery:

{
    "searchLocations": ["Mississauga, ON", "Oakville, ON"],
    "listingStatus": "for_sale",
    "propertyType": "detached",
    "maxResults": 300,
    "includeDetails": true,
    "includePhotos": true
}

Sold Comps for CMA

Recently sold condos — each row carries HouseSigma's AI estimate even where the exact sold price is masked at the source:

{
    "searchLocations": ["Vancouver, BC"],
    "listingStatus": "sold",
    "propertyType": "condo_apt",
    "maxResults": 200
}

Using HouseSigma URLs

Paste a regional search page or a single-property URL — filters in the URL are applied automatically:

{
    "startUrls": [
        "https://housesigma.com/on/toronto-real-estate"
    ],
    "maxResults": 100,
    "includeDetails": true
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
startUrls	string[]	["https://housesigma.com/on/toronto-real-estate"]	Paste HouseSigma URLs — a regional search page or a single property page. The type is auto-detected, and any filters baked into the URL (status, price, type) are applied automatically. The Search Filters below do not apply to URLs.
searchLocations	string[]	[]	Search by city, region, or neighbourhood (e.g. "Toronto, ON", "Mississauga", "Vancouver"). No need to build URLs manually.

Search Filters

These apply only to Search Locations. When using URLs, all filters come from the URL itself.

Parameter	Type	Default	Description
listingStatus	select	For Sale	Which listings to find: For Sale, Sold, or For Lease.
propertyType	select	All Types	Filter by type: All Types, Detached, Semi-Detached, Townhouse, Condo Apartment, Condo Townhouse, Multiplex, or Land.

Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum listings to collect across all URLs and searches. Set to 0 for unlimited. Start with 10-50 to test, then scale up.
includeDetails	boolean	true	Fetch each listing's full detail page — description, price history, HouseSigma estimate, lot size, square footage, taxes, and maintenance fees. Slower but much richer. When off, only listing-summary fields are returned.
includePhotos	boolean	false	Include the full photo gallery (image URLs) for each listing. Disable for the fastest, lightest runs.

Output

Each listing is one row. Here's a representative result with details and photos enabled:

{
    "listingId": "abc123XYZ",
    "mlsNumber": "W7654321",
    "status": "for_sale",
    "listPrice": 1250000,
    "soldPrice": null,
    "estimate": 1278000,
    "addressLine": "123 Maple Avenue",
    "city": "Toronto",
    "province": "ON",
    "postalCode": "M4E 2V1",
    "community": "The Beaches",
    "latitude": 43.6712,
    "longitude": -79.2967,
    "propertyType": "Detached",
    "bedrooms": 4,
    "bathrooms": 3,
    "sqft": "2000-2500",
    "lotSize": "30 x 120 Feet",
    "daysOnMarket": 12,
    "listDate": "2026-05-30",
    "soldDate": null,
    "maintenanceFee": null,
    "propertyTax": 7480,
    "description": "Beautifully renovated detached home steps from the boardwalk...",
    "priceHistory": [
        { "date": "2026-05-30", "event": "For Sale", "price": 1250000, "priceSold": null, "type": "Sale" },
        { "date": "2021-04-12", "event": "Sold", "price": 1050000, "priceSold": 1065000, "type": "Sale" }
    ],
    "photos": ["https://media.housesigma.com/example1.jpg"],
    "url": "https://housesigma.com/on/toronto/123-maple-avenue/home/abc123XYZ/"
}

Core Fields

Field	Type	Description
listingId	string	HouseSigma internal listing identifier
mlsNumber	string	MLS listing number
status	string	Normalized status: for_sale, sold, for_lease, or leased
propertyType	string	Detached, Condo Apartment, Townhouse, etc.
daysOnMarket	number	Days the listing has been active
listDate	string	Date the listing went live
soldDate	string	Date sold or leased, if applicable
url	string	Canonical HouseSigma listing URL

Address & Location

Field	Type	Description
addressLine	string	Street address
city	string	City or municipality
province	string	Province code (e.g. ON, BC)
postalCode	string	Postal code
community	string	Neighbourhood or community name
latitude	number	Latitude for mapping
longitude	number	Longitude for mapping

Pricing & Valuation

Field	Type	Description
listPrice	number	Asking / list price in CAD
soldPrice	number	Final sold price (public listings; masked on anonymous sold listings)
estimate	number	HouseSigma's AI home-value estimate — present even on sold listings
propertyTax	number	Annual property tax in CAD
maintenanceFee	number	Monthly maintenance / condo fee in CAD

Property Details

Field	Type	Description
bedrooms	number	Bedroom count
bathrooms	number	Bathroom count
sqft	string	Floor area as reported (often a range, e.g. "2000-2500")
lotSize	string	Lot dimensions as reported (e.g. "30 x 120 Feet")
description	string	Full listing remarks (detail mode only)

History & Media

Field	Type	Description
priceHistory	object[]	Dated timeline of list / sold / leased / price-change events. Each event: date, event, numeric price, numeric priceSold, type (detail mode only)
photos	string[]	Full gallery of listing image URLs (only when Include Photo Gallery is on)

Tips for Best Results

• Start small — set maxResults to 10-50 on your first run to confirm the data fits your needs, then scale up.
• Use sold listings for comps — sold rows include HouseSigma's AI estimate even where the exact sold price is masked at the source, so the estimate becomes your comparable value for CMA and underwriting.
• Split hot markets to go past the cap — a single search returns at most 4,000 listings. To go deeper in a busy city, split the run by neighbourhood, property type, or price range across multiple search locations.
• Toggle details for speed vs. depth — turn off Include Full Listing Details for fast summary-only runs; turn it on for description, price history, taxes, lot size, and the estimate.
• Leave photos off unless you need them — the gallery adds up to ~48 image URLs per listing; disable it for the lightest, fastest runs.
• Mix searches and URLs in one run — combine several city searches with pasted HouseSigma URLs to cover multiple markets at once.
• Map with built-in coordinates — every listing ships latitude and longitude, so you can plot results directly without a separate geocoding step.

Pricing

From $1.30 per 1,000 results — richer per-listing data than other HouseSigma actors, including the AI estimate and full price history, at a lower entry price. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.16	$0.15	$0.14	$0.13
1,000	$1.55	$1.45	$1.40	$1.30
10,000	$15.50	$14.50	$14.00	$13.00
100,000	$155.00	$145.00	$140.00	$130.00

A "result" is any listing row in the output dataset. The fixed per-run start fee is additional and is independent of the number of results.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate real estate research, market analysis, and lead generation. Users are responsible for complying with applicable laws and HouseSigma's Terms of Service. Do not use extracted data for spam, harassment, or any unlawful purpose. Be mindful of privacy regulations and MLS rules when handling listing and contact data.