Zoocasa Property Listings Scraper

Zoocasa Property Listings Scraper

Scrape Zoocasa property listings from any area URL — thousands per run. Each listing comes with price, address, beds, baths, MLS number, brokerage and coordinates. No login or API key. Export to CSV, JSON, Excel, or XML.

Zoocasa's website has no public API, and manual copying of listings is slow and error-prone. This Actor reads the same public search endpoint the site itself calls, so you can collect structured property data for any city, neighbourhood, province or state in Canada and the US. It returns each listing as a flat row, ready for analysis or your own database.

Who uses it	What they scrape Zoocasa for
Real estate investors	Monitor new listings and price changes in target neighborhoods
Market analysts	Build datasets of active listings for pricing and trend analysis
Property managers	Track rental or sale inventory in specific areas
Data journalists	Investigate housing market patterns and affordability

What it does

This Actor collects Zoocasa property listings from a search results URL and returns each one as a flat row with all available details.

• 🔍 Area URL input: paste any Zoocasa area page — city, neighbourhood, province or state — with its filter segments.
• 📊 Structured output: each listing is a flat row with price, address, beds, baths, MLS number, brokerage, and latitude/longitude.
• 🚀 Fast and deep: around 1,000 listings per minute, well past the 27 shown on the first page of the site.
• ⚙️ Max items control: set a limit on the number of listings to scrape per run.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Zoocasa data

🏠 Monitor new listings in a city.

A real estate investor runs the Actor daily on a Toronto search URL to get the latest for-sale properties and spot opportunities before they are widely known.

📈 Analyze market pricing trends.

A market analyst scrapes listings for multiple neighborhoods over a month, then compares average prices and inventory levels to advise clients.

📋 Build a property database.

A data engineer collects listings from several cities into a single dataset for a housing research project, using the flat row output for easy ingestion.

🔔 Track specific property types.

A property manager filters a search URL for condos under a certain price and scrapes weekly to keep a watchlist of potential rental acquisitions.

Why choose this scraper

	What you get
No API needed	Reads public data directly, no registration or keys
Flexible input	Any Zoocasa area URL: city, neighbourhood, province, state, plus for-rent, sold, condos, houses and other filter segments
Reliable delivery	No browser needed, so runs finish in seconds and the cheapest Apify datacenter proxy is enough
Clean data	Each listing is a flat row, easy to export and analyze

Configure the run

Drive the Actor from a Zoocasa area URL, and set the maximum number of listings to scrape. The Input tab lists every parameter.

A first run with the defaults:

{
  "searchUrl": "https://www.zoocasa.com/toronto-on-real-estate",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

A larger pull, condos for rent in one neighbourhood:

{
  "searchUrl": "https://www.zoocasa.com/toronto-on-real-estate/church-yonge-corridor/condos/for-rent",
  "maxItems": 2000,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Which URLs work

Copy the URL straight from your browser after searching on Zoocasa. Every one of these shapes is supported:

URL	What you get
https://www.zoocasa.com/toronto-on-real-estate	Every active listing in the city
https://www.zoocasa.com/toronto-on-real-estate/church-yonge-corridor	One neighbourhood
https://www.zoocasa.com/ontario-real-estate	A whole province or state
https://www.zoocasa.com/mount-pleasant-wi-real-estate	US cities work the same way
.../toronto-on-real-estate/for-rent	Rentals instead of sales
.../toronto-on-real-estate/sold	Sold listings, with the sold price
.../toronto-on-real-estate/condos	condos, houses, townhouses, land, commercial, farms
.../toronto-on-real-estate/open-houses	open-houses, with-garage, with-swimming-pool, on-waterfront

Segments combine, and ?sort=-price is honoured. Older /for-sale/toronto-on links still work — they are rewritten to the current format.

Pricing

Pay-per-result: $0.02373 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$2.37
1,000 results	$23.73
10,000 results	$237.30

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Zoocasa Property Listings Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Zoocasa through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/zoocasa-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

The area in the URL was not recognised. Open the URL in a browser: it has to be a Zoocasa area page such as https://www.zoocasa.com/toronto-on-real-estate. A listing detail page or a search box URL will not work.

Which proxy should I use?

The default Apify datacenter proxy is enough and is the cheapest option. Residential proxies also work if you prefer them, but they are not needed.

I only get a few listings even though there are more.

The maxItems input limits the number of listings. Increase it to scrape more. Also check if the search URL has filters that restrict results.

Some fields are missing in the output.

Not all listings have the same data available. The Actor returns whatever is present on the page. If a field is consistently missing, it may not be exposed on Zoocasa's search results.

FAQ

Question	Answer
What is Zoocasa?	Zoocasa is a Canadian real estate website that lists properties for sale and rent. It aggregates listings from various brokerages and provides search tools for buyers and renters.
Do I need an API key or login?	No. The Actor scrapes public search result pages, so no authentication is required. You only need a valid search URL.
Can I scrape listings from any city?	Yes, any Canadian or US city on Zoocasa, plus neighbourhoods, provinces and states, with the for-rent, sold and property-type filters from the URL.
How many listings can I scrape in one run?	You can set the maximum number of listings with the maxItems input. The default is 100, but you can increase or decrease it as needed.
What data fields are returned for each listing?	Each listing is returned as a flat row with fields such as price, address, number of bedrooms, bathrooms, square footage, property type, and more. The exact fields depend on what is available on the page.
Does the Actor handle pagination?	Yes. It pages through the whole area — thousands of listings — until it reaches maxItems, the area runs out, or the run times out.
Why do I need to configure a proxy?	The Apify proxy keeps requests coming from a clean pool of IPs and rotates them between pages. The default datacenter proxy is enough for Zoocasa.
Can I export the data to CSV or JSON?	Yes, Apify automatically stores results in a dataset that you can export to CSV, JSON, Excel, XML, and other formats.
Is this Actor legal to use?	You should review Zoocasa's terms of service and comply with applicable laws. The Actor only accesses publicly available data, but you are responsible for how you use it.
Can I schedule this Actor to run automatically?	Yes, you can set up a schedule in Apify to run the Actor at regular intervals, such as daily or weekly, to keep your data up to date.

Related actors

• realtor-ca-scraper: Use this to scrape listings from Realtor.ca, another Canadian real estate site.
• zillow-scraper: Use this to scrape US property listings from Zillow.

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Zoocasa Realty Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.