Metrocuadrado Scraper - Colombia Real Estate Listings

Search and extract Colombian property listings from metrocuadrado.com for market research, valuation, investment analysis, and lead generation. Filter homes and commercial properties by location, sale or rental status, price, rooms, area, amenities, and distance, then download the results in formats that fit your workflow.

SEO keywords: Metrocuadrado scraper, Colombia real estate data, property listings scraper, real estate API alternative, Apify real estate actor.

🤖 What does Metrocuadrado Scraper do?

This actor collects public real estate listings from Metrocuadrado and keeps the complete listing record available in your dataset. Search Colombian homes, apartments, offices, land, farms, and other property types for sale or rent.

• Buy and rent searches — compare used properties, new properties, or both sales categories together.
• Friendly location search — enter a city, neighborhood, or zone and optionally choose the location category.
• Property filters — narrow results by price, area, bedrooms, bathrooms, parking spaces, socioeconomic stratum, age, and amenities.
• Nearby searches — use latitude, longitude, and a distance in kilometers to search around a point.
• Rich listing data — keep prices, images, links, location, property features, and published contact information.
• Optional details — request additional listing information when a deeper dataset is worth the extra usage.

Great for: Colombian housing research, investment screening, competitor monitoring, valuation models, property lead lists, and real estate market reports.

💡 Why use Metrocuadrado data?

• 📈 Track local prices — compare sale and rental prices by city, neighborhood, zone, or radius.
• 🏘️ Find investment opportunities — identify properties that match a budget, size, room count, and amenity profile.
• 🎯 Build qualified lead lists — collect listing links and published contact fields for legitimate business outreach.
• 📊 Create market reports — download structured datasets for spreadsheets, dashboards, and valuation work.
• 🔎 Monitor competition — repeat the same search to follow inventory, pricing, and new listings over time.

🚀 How to use it

1. Add the actor — Open Metrocuadrado Scraper - Colombia Real Estate Listings in Apify.
2. Choose a location — Enter a city, neighborhood, or zone such as Bogotá. The location field is prefilled for a quick start.
3. Set your search — Choose the listing type, maxItems, and any filters. The default listing type is used and new properties for sale.
4. Start the run — Click Run in Apify, or start it through the Apify API or an MCP-compatible tool.
5. Use the results — Open the Dataset tab and download JSON, CSV, or Excel, or connect the dataset to your workflow.

💳 Pricing

Apify's Free plan includes monthly credits for testing and small runs. Larger collections can use Personal or Business plans with more usage and concurrency. Requesting full details adds usage because each saved listing receives an additional lookup.

📝 Input parameters

Parameter	Type	Required	Description
maxItems	Integer	Yes	Maximum listings to save. Default 100. Use 0 for unlimited results, subject to account and run limits.
location	String	No*	City, neighborhood, or zone to search, for example "Bogotá". Use this or provide both coordinates.
locationType	Enum	No	Location suggestion category: "" (Any) · "city" · "neighborhood" · "zone". Any uses the first suggestion.
propertyCodes	Array of strings	No	Published property reference codes such as "1614-C0051". When provided, the actor looks up those listings and ignores the other search filters.
operation	Enum	No	"buy" (used and new) · "buy-used" · "buy-new" · "rent". Default: "buy".
sort	Enum	No	Sort field and direction: "price-asc" · "price-desc" · "date-asc" · "date-desc" · "bedrooms-asc" · "bedrooms-desc" · "area-asc" · "area-desc".
fetchDetails	Boolean	No	Add additional information under _details. Default false; increases usage and run time.
propertyTypes	Array of strings	No	"apartment" · "studio-apartment" · "house" · "office" · "warehouse" · "consulting-room" · "commercial-property" · "land" · "farm" · "office-building" · "apartment-building".
minPrice, maxPrice	Integers	No	Minimum and maximum sale price or monthly rent in Colombian pesos. 0 means no limit.
minArea, maxArea	Integers	No	Minimum and maximum built area in square metres. 0 means no limit.
bedrooms	Array of strings	No	"1" · "2" · "3" · "4" · "5", where "5" means five or more.
bathrooms	Array of strings	No	"1" · "2" · "3" · "4" · "5", where "5" means five or more.
garages	Array of strings	No	"1" · "2" · "3" · "4" · "5", where "5" means five or more parking spaces.
stratum	Array of strings	No	"1" through "6" for residential strata, "7" for commercial, or "8" for rural.
keyword	String	No	Optional feature or description term, for example "furnished".
buildTime	Enum	No	"0-to-5-years" · "5-to-10-years" · "10-to-20-years" · "over-20-years" · "remodeled" · "under-construction" · "brand-new".
amenities	Array of strings	No	"security-24-7" · "service-room" · "gated-community" · "storage-room" · "pets-allowed" · "bbq-area" · "pool" · "furnished" · "elevator" · "balcony" · "gym".
latitude	Number	No†	Latitude in decimal degrees. Example: 4.711.
longitude	Number	No†	Longitude in decimal degrees. Example: -74.0721.
distanceKm	Number	No	Search radius around the coordinates in kilometers. Default 20.

* Provide location unless you use both latitude and longitude or provide propertyCodes.

† latitude and longitude must be provided together for a nearby search.

Example inputs

1️⃣ Buy used and new apartments in Bogotá

{
  "maxItems": 100,
  "location": "Bogotá",
  "locationType": "city",
  "operation": "buy",
  "propertyTypes": ["apartment", "house"],
  "minPrice": 200000000,
  "maxPrice": 700000000,
  "bedrooms": ["2", "3"],
  "bathrooms": ["2"],
  "sort": "price-asc"
}

2️⃣ Rental apartments near a coordinate

{
  "maxItems": 50,
  "operation": "rent",
  "latitude": 4.711,
  "longitude": -74.0721,
  "distanceKm": 20,
  "propertyTypes": ["apartment"],
  "minArea": 50,
  "maxArea": 120,
  "maxPrice": 5000000,
  "bedrooms": ["2", "3"],
  "fetchDetails": true
}

3️⃣ Look up selected published listings

{
  "maxItems": 20,
  "propertyCodes": ["1614-C0051", "17030-M6160164"]
}

📊 Output and results

Each dataset item keeps the complete listing record. The following fields are commonly useful in the Overview and exports; additional fields from the listing may also be present.

• id (string) — listing reference.
• title (string) — listing headline.
• status (string) — listing status when available.
• image (string) — primary image URL.
• pricesale, pricelease, priceadmin (number) — sale, rental, and administration prices.
• adminincluded (boolean) — whether administration is included.
• area, bedrooms, baths, garages — property size and main features.
• city (string) — listing city.
• url (string) — listing page URL.
• phone, whatsapp (string) — published contact values when available.
• _details (object, optional) — extra listing information when fetchDetails is enabled.

Download the dataset as JSON, CSV, or Excel. You can also consume it through the Apify API or an MCP-compatible workflow.

{
  "id": "17030-M6160164",
  "title": "Apartamento en Venta, USME, Bogotá D.C.",
  "status": null,
  "pricesale": 100000000,
  "pricelease": 0,
  "priceadmin": 50000,
  "adminincluded": false,
  "area": "44.0 m2",
  "bedrooms": "3",
  "baths": "1",
  "garages": "0",
  "city": "Bogotá D.C.",
  "image": "https://multimedia.metrocuadrado.com/17030-M6160164/17030-M6160164_1_p.jpg",
  "url": "https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-almirante-padilla-3-habitaciones-1-banos/17030-M6160164",
  "phone": "3170974341",
  "whatsapp": "573170974341"
}

🧭 Tips and common recipes

• Start with the broad sale market: use the default operation: "buy" to include used and new listings.
• Compare only existing homes: set operation: "buy-used".
• Find new developments: set operation: "buy-new" and optionally use buildTime: "brand-new".
• Build rental shortlists: use operation: "rent" with maxPrice, bedrooms, and amenities.
• Choose the right place: use locationType: "city", "neighborhood", or "zone"; leave it empty for Any.
• Search around a point: provide latitude and longitude together. The default radius is 20 km.
• Collect a large market sample: set maxItems to 0 for unlimited results, subject to run and account limits.
• Save usage: enable fetchDetails only when the additional information is important for your analysis.

⚙️ Best practices

• Begin with 50–100 listings to confirm that your location and filters match the market you want.
• Use a realistic maxItems value for routine monitoring and increase it for scheduled market snapshots.
• Keep minPrice below maxPrice and minArea below maxArea when using both limits.
• For coordinates, use decimal degrees and set distanceKm to match the area you want to compare.
• Treat phone and WhatsApp fields as published contact data and use them only for appropriate, permission-based outreach.

⚖️ Legal and ethical considerations

• Follow Metrocuadrado's terms, applicable Colombian law, and any restrictions on commercial data use.
• Collect and store contact information responsibly, with a legitimate purpose and appropriate safeguards.
• Respect rate limits and avoid creating unnecessary load through repeated runs.
• Do not republish personal contact data without a lawful basis or permission.
• Attribute the source when presenting market research or derived reports.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Metrocuadrado. Metrocuadrado and related marks belong to their respective owners.

❓ FAQ

What is the default listing type?

operation: "buy" includes used and new properties for sale. You can switch to buy-used, buy-new, or rent.

Can I search by a city and by coordinates?

Yes. Use location for a city, neighborhood, or zone, or provide both latitude and longitude for a nearby search. distanceKm defaults to 20 km.

What happens when I leave locationType empty?

The actor uses the first location suggestion. Set locationType to city, neighborhood, or zone when you want to restrict the category.

Does fetchDetails change the normal listing data?

No. It adds an optional _details object to each saved listing. It takes longer and uses more resources because each saved listing receives an additional lookup.

Can I download the results for spreadsheets or automation?

Yes. Apify provides JSON, CSV, and Excel exports, and the dataset can also be accessed through the Apify API or MCP-compatible tools.

How do I get support?

Open an issue or contact Apify actor support with your run ID and a short description of the result you need.

🛟 Support

Need a custom field, saved search, or export workflow? Contact actor support and include an example of the listings or fields you need.