# HouseSigma Scraper (`parsebird/housesigma-scraper`) Actor

Scrape HouseSigma listings feeds by province and listings page URL. Extract address, price, beds, baths, property type, coordinates, open houses and photo galleries. Export JSON, CSV, Excel.

- **URL**: https://apify.com/parsebird/housesigma-scraper.md
- **Developed by:** [ParseBird](https://apify.com/parsebird) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.89 / 1,000 listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### HouseSigma Scraper

Scrape real-estate listings from [HouseSigma](https://housesigma.com) — 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/`.

<table><tr>
<td style="border-left:4px solid #28A3B3;padding:12px 16px;font-weight:600">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.</td>
</tr></table>

##### Copy to your AI assistant

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](https://housesigma.com), 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](https://docs.apify.com/api/v2).

#### Run it from the API

Python:

```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:

```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

```json
{
  "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](https://apify.com/parsebird/trulia-property-scraper) — for-sale and rental listings from Trulia (US)
- [RentCafe Scraper](https://apify.com/parsebird/rentcafe-scraper) — apartment and rental listings from RentCafe
- [Craigslist Real Estate Scraper](https://apify.com/parsebird/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](https://docs.apify.com/platform/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](https://docs.apify.com/api/v2), 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](https://blog.apify.com/is-web-scraping-legal/).

# Actor input Schema

## `startUrl` (type: `string`):

A HouseSigma listings page to collect from. The province code and feed are read from the path, e.g. /on/listings/newly-listed/, /bc/listings/featured-listings/, /ab/listings/best-for-schools/.

## `results_wanted` (type: `integer`):

Maximum number of listings to collect.

## `max_pages` (type: `integer`):

Maximum number of feed pages to visit (10 listings per page).

## `includeGallery` (type: `boolean`):

Fetch every gallery image for each listing. Slower, because it makes one extra request per listing.

## `proxyConfiguration` (type: `object`):

Proxy settings. The default Apify Proxy is enough for HouseSigma; switch to the RESIDENTIAL group with country CA if you ever see empty results or blocks.

## Actor input object example

```json
{
  "startUrl": "https://housesigma.com/on/listings/newly-listed/",
  "results_wanted": 20,
  "max_pages": 10,
  "includeGallery": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrl": "https://housesigma.com/on/listings/newly-listed/",
    "results_wanted": 20,
    "max_pages": 10,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("parsebird/housesigma-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrl": "https://housesigma.com/on/listings/newly-listed/",
    "results_wanted": 20,
    "max_pages": 10,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("parsebird/housesigma-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrl": "https://housesigma.com/on/listings/newly-listed/",
  "results_wanted": 20,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call parsebird/housesigma-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parsebird/housesigma-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1bzedD8N0eoahE3dB/builds/x4VM6iMIj73aFLBcC/openapi.json