We extract property listings, price histories, strata details, and agency portfolios from Metrocuadrado. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Property Listings objects from metrocuadrado.com. All fields typed and schema-versioned.
"property_id": "MTC-849201", "title": "Apartamento en Venta en Chico Norte", "property_type": "Apartamento", "transaction_type": "Venta", "price": 850000000.0, "admin_fee": 650000.0, "city": "Bogotá", "neighborhood": "Chicó Norte", "stratum": 6, "area_built": 112.5, "bedrooms": 3
| # | property_id | title | property_type | transaction_type | price | admin_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for New Developments objects from metrocuadrado.com. All fields typed and schema-versioned.
"project_id": "PRJ-9921", "project_name": "Torre Central Park", "developer_name": "Constructora Bolivar", "status": "En Planos", "delivery_date": "2026-11-01", "min_price": 420000000.0, "city": "Medellín", "sector": "El Poblado", "available_units": 45
| # | project_id | project_name | developer_name | status | delivery_date | min_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Valuation objects from metrocuadrado.com. All fields typed and schema-versioned.
"property_id": "MTC-849201", "current_price": 850000000.0, "original_price": 890000000.0, "price_per_sqm": 7555555.55, "admin_fee": 650000.0, "discount_pct": 4.5, "days_on_market": 42, "last_updated": "2026-05-12T14:30:00Z"
| # | property_id | current_price | original_price | price_per_sqm | admin_fee | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Agency & Broker objects from metrocuadrado.com. All fields typed and schema-versioned.
"agency_id": "AGN-442", "agency_name": "Inmobiliaria Bogota Premium", "contact_phone": "+573104567890", "whatsapp_number": "+573104567890", "active_listings_count": 124, "properties_for_sale": 89, "properties_for_rent": 35, "profile_url": "https://www.metrocuadrado.com/inmobiliaria/bogota-premium"
| # | agency_id | agency_name | contact_phone | whatsapp_number | active_listings_count | properties_for_sale |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location & Amenities objects from metrocuadrado.com. All fields typed and schema-versioned.
"property_id": "MTC-849201", "latitude": 4.6758, "longitude": -74.0483, "neighborhood": "Chicó Norte", "city": "Bogotá", "department": "Cundinamarca", "building_amenities": "['Gimnasio', 'Piscina', 'Seguridad 24/7']", "nearby_transit": "['Estación Transmilenio Calle 100']"
| # | property_id | latitude | longitude | address | neighborhood | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Metrocuadrado scraper handles map-based pagination, dynamic pricing widgets, and contact detail rendering — circumventing bot protections to deliver clean property records.
Extract title, description, built area, private area, bedrooms, bathrooms, parking spaces, and property age across all residential and commercial listing types.
Capture sale price, rental rates, and administration fees (valor administración) to calculate true monthly carrying costs.
Extract the socioeconomic stratum (estrato 1-6) critical for utility cost estimation and property valuation models in Colombia.
Monitor 'Proyectos Nuevos' including developer details, delivery timelines, available units, and price ranges for off-plan investments.
Extract broker names, agency affiliations, and active portfolio sizes to identify top-performing real estate agents by sector.
Capture exact latitude and longitude coordinates embedded in listing map widgets for precise spatial analysis.
Track when listings first appeared and when they are delisted to calculate average days on market (DOM) by neighborhood.
Execute JavaScript to render gated WhatsApp numbers and contact forms typically hidden behind user interaction walls.
Run daily or weekly pipelines that only emit new listings, price drops, or status changes, minimising redundant data processing.
Brief in. Clean data out.
Provide target cities, neighborhoods, property types, or agency profiles. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for metrocuadrado.com.
Schema validation, null-rate checks, price-outlier detection, and coordinate verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Real estate portals use aggressive rate limiting and dynamic rendering to protect listing data. Here is how we maintain reliable extraction.
Metrocuadrado limits standard search pagination to a fixed number of results. We bypass this by programmatically dividing city maps into bounding box grids, extracting complete datasets without hitting pagination ceilings.
Broker phone numbers and WhatsApp links are dynamically injected via JavaScript upon user click. Our Playwright instances simulate these interactions to capture the unmasked contact data for agency analysis.
Requests originating outside Latin America often face severe rate limits or CAPTCHA walls. We route traffic through Colombian residential ISP proxies to mimic local buyer traffic patterns and maintain high throughput.
Broker input is notoriously messy. We normalise text fields, separate built area from private area, and map unstructured amenity descriptions into clean boolean arrays for immediate database ingestion.
We maintain state across pipeline runs to detect when a property price changes or when it is removed from the market, providing accurate signals for market velocity rather than just static snapshots.
PropTech firms ingest strata, area, and pricing data to train automated valuation models for the Colombian market.
Real estate funds track price-per-square-meter trends across Bogotá and Medellín neighborhoods to time acquisitions.
Investors monitor price drops and days-on-market metrics to identify distressed assets or highly motivated sellers.
Brokerages analyse competitor portfolios, average listing prices, and market share by sector to optimise their sales strategies.
Consultancies correlate new development concentration with stratum changes to forecast urban density and infrastructure needs.
Mortgage brokers and insurance providers use listing data to generate pre-approved financial products based on property value.
"Metrocuadrado holds the most comprehensive record of Colombian property values — but extracting accurate historical pricing requires continuous, resilient pipeline infrastructure."
Most teams underestimate the complexity of scraping Colombian real estate portals. Handling map-based dynamic loading, contact obfuscation, and inconsistent agent formatting requires dedicated engineering. DataFlirt absorbs that complexity so your analysts can focus on market trends — not DOM changes.
Everything supported by our metrocuadrado.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies specifically targeting Colombian regions. Rotation happens per-request with sticky sessions where required to prevent geo-blocking.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About metrocuadrado.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available real estate listings is generally permissible. DataFlirt targets only public, non-authenticated property and agency data. We do not extract personal user data or circumvent authentication walls. Clients should review portal ToS and consult legal counsel for specific commercial use cases.
Metrocuadrado restricts standard list pagination. We circumvent this by programmatically dividing city maps into smaller coordinate bounding boxes, extracting all properties within each grid square to ensure 100% coverage without hitting result ceilings.
Yes. While Metrocuadrado masks these details behind click events, our Playwright instances simulate user interaction to render and extract the underlying phone numbers and WhatsApp links for active listings.
Yes. We extract the stratum (1-6) and the exact administration fee (valor administración), which are critical fields for accurate property valuation and carrying cost calculations in Colombia.
We can configure pipelines to run daily, weekly, or monthly. A full sweep of a major city like Bogotá typically completes within 8-12 hours. We use change-detection to only push updated or new records to your warehouse.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record per property ID, allowing you to track price drops, price increases, and total days on market.
Our smallest packages start at a defined geographic scope (e.g., all listings in specific Bogotá zones) with weekly delivery. Contact us with your target volume and frequency for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off Bogotá market dump or continuous price-monitoring across Colombia — we scope, build, and operate the pipeline. Tell us what you need.
