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Ciencuadras Property Scraper: Extract Real Estate Listings Instantly

What Is Ciencuadras.com?

Ciencuadras.com is Colombia's leading real estate marketplace, connecting buyers, sellers, and renters with thousands of residential and commercial properties nationwide. The platform hosts extensive listings with detailed descriptions, images, pricing, and agent contact information. Extracting this data manually is tedious and error-prone — the Ciencuadras Property Scraper automates collection, delivering structured property records ready for analysis, investment decisions, and market intelligence.

Overview

The Ciencuadras Property Scraper crawls property listing pages and extracts comprehensive property records with 44+ fields covering location, pricing, features, and agent details. It is designed for:

• Real estate investors tracking market inventory and pricing trends
• Market researchers analyzing property supply by city, neighborhood, and type
• Aggregator platforms building unified real estate databases
• Data analysts conducting competitive and valuation studies
• Brokers monitoring competitor listings and market saturation

The scraper excels at handling large-scale collections with configurable item limits and graceful error handling.

Input Format

The scraper accepts a JSON configuration object:

{
"urls":[
"https://www.ciencuadras.com/venta"
],
"ignore_url_failures":true,
"max_items_per_url":200
}

Tip: Use filtered Ciencuadras search URLs to target specific cities, neighborhoods, or property types (e.g., rent vs. sale).

Output Format

Sample output

{
"id":"3760294",
"url":"/inmueble/apartamento-en-venta-en-santa-teresita-cali-3760294",
"image":"https://www-img-cc.s3.amazonaws.com/inmuebles/images/3760294/aba_178095081142_plana.jpeg",
"matterport":false,
"image_360":null,
"real_estate_type":"Apartamento",
"offer_type":"Venta",
"sale_price":630000000,
"rent_price":1267000,
"department":"Valle del Cauca",
"city":"Cali",
"locality":"Comuna 2",
"locality_integrator":"Comuna 2",
"neighborhood":"Santa Teresita",
"neighborhood_integrator":"Santa Teresita",
"area":"143",
"rooms":"4",
"baths":"4",
"garages":"2",
"code":"1005746-3760294",
"coordinates":{
"latitude":3.449205,
"longitude":-76.555626
},
"ascended":true,
"ceee":"0",
"created_at":"2026-06-08T15:32:17.000Z",
"fair_housing":"0",
"user_id":"1005746",
"user_name":"Clara Ramirez",
"user_type":"Persona Natural",
"private_area":"125.0",
"show_card_area":"143.0",
"contact_phone":"3152057516",
"contact_whatsapp":"3152058516",
"stratum":"6",
"antiquity":"23",
"gym":"0",
"communal_pool":"0",
"private_pool":"1",
"offer":"0",
"address":"Calle 14 Oeste # 2-45",
"real_state_email":"familycvnn@gmail.com",
"weight":"0.985124",
"group":"1",
"admin_value":1267000,
"market_reference_price":0,
"sort_order":"desc",
"max_allowed_area":999999999,
"from_url":"https://www.ciencuadras.com/venta"
}

Each scraped property returns a comprehensive record with 44 fields across multiple categories:

Identification & Location

Property Type & Offer

Property Dimensions & Features

Building Amenities

Media

Agent & Contact

Listing Metadata

How to Use

1. Find property list URLs — On Ciencuadras.com, apply filters (city, price, property type, rent/sale) and copy the search results URL.
2. Prepare the input — Paste URLs into the urls array. Set max_items_per_url (recommended: 50–200 for large extracts).
3. Configure options — Enable ignore_url_failures: true to handle blocking or temporary site issues without stopping.
4. Run the scraper — Start the actor from your dashboard.
5. Export data — Download results as JSON, CSV, or Excel for spreadsheets, analysis tools, or databases.

Best practices:

• Use specific search URLs to reduce noise (e.g., "rent apartments in Bogotá" vs. all listings).
• Higher max_items_per_url values may take longer but yield complete property coverage.
• Export to CSV for real estate spreadsheets or JSON for API integrations.

Common issues:

• If no properties are extracted, verify the URL is a property listing page, not a single property detail page.
• Ciencuadras may rate-limit aggressive scraping; use reasonable max_items_per_url values.

Use Cases & Business Value

• Investment analysis: Build datasets to compare prices, features, and trends across neighborhoods
• Market intelligence: Track inventory changes, average prices, and listing velocity by location
• Automated aggregators: Populate portals with fresh Ciencuadras listings
• Valuation models: Collect comparable sales data for appraisals and feasibility studies
• Neighborhood research: Analyze rental supply, property types, and affordability by area

The scraper transforms hundreds of individual listings into clean, analyzable data — eliminating hours of manual work and enabling data-driven real estate decisions.

Conclusion

The Ciencuadras Property Scraper is an essential tool for anyone doing serious real estate analysis in Colombia. With 44 data fields, reliable extraction, and flexible input options, it streamlines market research and listing aggregation. Start scraping today and unlock the insights hidden in Ciencuadras listings.