HouseSigma Scraper

HouseSigma Scraper

Scrape real-estate listings from HouseSigma — address, price, bedrooms, bathrooms, property type, coordinates, open houses and full photo galleries — starting from any HouseSigma listings page such as https://housesigma.com/on/listings/newly-listed/.

Collect HouseSigma listings feeds at scale — Newly Listed, Featured Listings, Best for Schools and more, across Ontario, British Columbia and Alberta. Structured JSON per home, ready to analyze. Export JSON, CSV, Excel.

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Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

Apify Actor: parsebird/housesigma-scraper — scrapes HouseSigma listings feeds (housesigma.com/{province}/listings/{feed}/) through HouseSigma's JSON API. Call: ApifyClient("TOKEN").actor("parsebird/housesigma-scraper").call(run_input={"startUrl": "https://housesigma.com/on/listings/newly-listed/", "results_wanted": 20, "max_pages": 10, "includeGallery": false, "proxyConfiguration": {"useApifyProxy": true}}). Inputs: startUrl (a HouseSigma listings page — province code + feed slug are read from the path; provinces: on, bc, ab; feeds: newly-listed, featured-listings, best-for-rental-investment, best-for-schools, high-growth, high-returns, just-sold), results_wanted (int, default 20), max_pages (int, default 20, 10 listings/page), includeGallery (bool, default false — one extra request per listing). Output: dataset of listings with address, price, priceValue, bedrooms, bathrooms, propertyType, propertyStyle, listingType, municipality, community, province, latitude, longitude, listedOn, daysOnMarket, mlsNumber, photoUrl, openHouses[], url, galleryImages[], galleryImageCount. API docs: https://docs.apify.com/api/v2  Token: https://console.apify.com/settings/integrations

What does HouseSigma Scraper do?

Give it a HouseSigma listings page URL. The HouseSigma Scraper reads the province and feed from the URL path, walks that feed page by page through HouseSigma's own data API, and returns one structured record per listing:

• 🏠 Address & location — address (street, municipality, province), municipality, community, province, latitude, longitude
• 💲 Price — price ("$899,000"), priceValue (899000)
• 🛏️ Layout — bedrooms ("3" or "3+1"), bathrooms, propertyType ("Detached", "Condo Apartment", …), propertyStyle ("2-Storey", "Bungalow", …)
• 📅 Listing status — listingType ("For Sale" / "For Lease"), listedOn, daysOnMarket, openHouses[]
• 🖼️ Media — photoUrl (cover photo), and with includeGallery the full galleryImages[] plus galleryImageCount
• 🔗 Reference — url (the HouseSigma listing page), mlsNumber when public

Supported provinces: Ontario (on), British Columbia (bc), Alberta (ab) — the three markets HouseSigma covers.

Supported feeds: newly-listed, featured-listings, best-for-rental-investment, best-for-schools, high-growth, high-returns, just-sold, sold-below-bought.

Why scrape HouseSigma?

• Track new inventory — schedule the newly-listed feed and capture every new home in a province the day it lists
• Market analysis — price, bedroom mix and property-type distribution across Ontario, BC and Alberta
• Comps and valuation — pull recent listings with coordinates for mapping and neighbourhood comparison
• Lead generation — active listings with open-house times for buyer and agent outreach
• Data pipelines — clean JSON of listings, coordinates and photos for your database, dashboard or map

Platform advantages: run it on a schedule, pull results through the Apify API, connect it to Make, Zapier, Google Sheets, Slack and other integrations, and export to JSON, CSV, Excel or HTML.

What data can you extract from HouseSigma?

Field	Type	Description
address	string	Street address with municipality and province
price	string	Listing price, formatted ("$899,000")
priceValue	integer	Listing price as a number (899000)
bedrooms	string	Bedroom count, e.g. "3" or "3+1"
bathrooms	string	Bathroom count
propertyType	string	Detached, Semi-Detached, Townhouse, Condo Apartment, …
propertyStyle	string	2-Storey, Bungalow, Apartment, …
listingType	string	"For Sale" or "For Lease"
municipality	string	Municipality / city name
community	string	Community / neighbourhood name when available
province	string	Province name
latitude / longitude	number	Map coordinates
listedOn	string	Date the listing was added
daysOnMarket	string	Readable days-on-market ("today", "3 days")
openHouses	array	Scheduled open-house time slots
photoUrl	string	Cover photo URL
galleryImages	array	All gallery image URLs (with includeGallery)
galleryImageCount	integer	Number of gallery images collected
mlsNumber	string	MLS number when publicly listed
url	string	HouseSigma listing page URL

How to scrape HouseSigma

1. Open HouseSigma, pick a province and open a listings page — for example Newly Listed at https://housesigma.com/on/listings/newly-listed/.
2. Copy that URL into the Listings page URL (startUrl) field.
3. Set Results wanted and Max pages (each page holds 10 listings).
4. Turn on Include full photo gallery if you need every image per listing (slower).
5. Click Start and download the results as JSON, CSV or Excel — or fetch them from the Apify API.

Run it from the API

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("parsebird/housesigma-scraper").call(run_input={
    "startUrl": "https://housesigma.com/on/listings/newly-listed/",
    "results_wanted": 50,
    "max_pages": 15,
    "includeGallery": False,
    "proxyConfiguration": {"useApifyProxy": True},
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["address"], item["price"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('parsebird/housesigma-scraper').call({
    startUrl: 'https://housesigma.com/bc/listings/featured-listings/',
    results_wanted: 50,
    max_pages: 15,
    includeGallery: false,
    proxyConfiguration: { useApifyProxy: true },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Input parameters

Parameter	Type	Required	Default	Description
startUrl	string	No	https://housesigma.com/on/listings/newly-listed/	HouseSigma listings page. Province code (on, bc, ab) and feed slug are read from the path.
results_wanted	integer	No	20	Maximum number of listings to collect.
max_pages	integer	No	20	Maximum feed pages to visit (10 listings per page).
includeGallery	boolean	No	false	Fetch every gallery image per listing. Adds one request per listing.
proxyConfiguration	object	No	Apify Proxy on	Proxy settings. The default is fine; switch to RESIDENTIAL / country CA if you see blocks.

Output example

{
  "address": "56 Sunshine Drive, Richmond Hill, Ontario",
  "price": "$1,098,000",
  "priceValue": 1098000,
  "bedrooms": "3+1",
  "bathrooms": "3",
  "propertyType": "Detached",
  "propertyStyle": "2-Storey",
  "listingType": "For Sale",
  "municipality": "Richmond Hill",
  "community": "Observatory",
  "province": "Ontario",
  "latitude": 43.9,
  "longitude": -79.44,
  "listedOn": "2026-08-28",
  "daysOnMarket": "today",
  "mlsNumber": "N13721120",
  "photoUrl": "https://cache06.housesigma.com/file/pix-treb/N13721120/93b3a_1_1200.webp",
  "openHouses": ["Sat, Aug 29 2:00 PM-4:00 PM"],
  "url": "https://housesigma.com/on/richmond-hill-real-estate/56-sunshine-dr/home/Xawjy4Zxgz93rR18/",
  "galleryImages": [],
  "galleryImageCount": 0
}

Download the dataset in JSON, CSV, Excel or HTML from the Storage tab or the API.

How it works

1. The province code and feed slug are read from startUrl (e.g. on + newly-listed).
2. The actor opens a session with HouseSigma's data API and walks the selected feed, 10 listings per page, up to max_pages.
3. Listings are de-duplicated and collected until results_wanted is reached.
4. When includeGallery is on, each listing's full image gallery is fetched with a small pool of concurrent requests.
5. Progress is checkpointed, so a platform migration mid-run resumes without duplicate rows.

How much does it cost to scrape HouseSigma?

Event	Free	Bronze / Silver / Gold
listing	$0.00099	$0.00089

One event per listing saved. 1,000 listings on the Free plan ≈ $0.99, and ≈ $0.89 on paid plans. includeGallery does not change the per-listing price; it only makes runs slower.

Related actors

• Trulia Property Scraper — for-sale and rental listings from Trulia (US)
• RentCafe Scraper — apartment and rental listings from RentCafe
• Craigslist Real Estate Scraper — housing listings from Craigslist

FAQ

Which provinces are supported? Ontario (on), British Columbia (bc) and Alberta (ab) — the markets HouseSigma covers. Any other province code falls back to Ontario.

Which listings pages can I use as startUrl? Any HouseSigma listings feed: newly-listed, featured-listings, best-for-rental-investment, best-for-schools, high-growth, high-returns, just-sold and sold-below-bought. The newly-listed and featured-listings feeds return the most complete data.

Why are price and bedrooms sometimes empty? A small share of listings from certain real-estate boards are restricted and only reveal price, bedroom and bathroom counts to signed-in HouseSigma users. Those fields come back empty for restricted listings; address, location, property type and photos are still collected.

Does it fetch each property's own page? Only when includeGallery is enabled, and only to collect the photo gallery. All other fields come from the feed, which keeps runs fast and cheap.

Can I schedule it? Yes. Use Apify Schedules to re-run the newly-listed feed daily and track new inventory.

Can I get the data through an API? Yes. Every run's dataset is available through the Apify API, and the actor integrates with Make, Zapier, Google Sheets, Slack and more.

Something looks wrong. Open an issue on the Issues tab with your input and the run URL and it will be looked at.

Legal and compliance

This actor collects publicly available real-estate listing data from HouseSigma's listings pages. It does not access private accounts or bypass paywalls. You are responsible for using the exported data in compliance with HouseSigma's terms, applicable laws (including real-estate data licensing and MLS/VOW rules), and any contractual obligations. Use it for lawful purposes such as market research and analytics. See Apify's guide on the legality of web scraping.