This Metros Cubicos scraper tutorial shows how to export approved property detail URLs into a structured CSV with the UScraper local desktop app. You will import the maintained workflow, replace the sample URLs, set the export folder, run a small batch, and validate fields such as price, location, surface, rooms, description, and image URLs.
CSV
15
URL list
Mexico
Diagnostic row
Before you start
Prerequisites for a Metros Cubicos details scraper
You need UScraper installed as a local desktop app, the Metros Cubicos Details Scraper template, a short list of property detail URLs your team is allowed to process, and a folder where the CSV can be written. Start with three to five URLs. The first run is for validation, not collection volume.
This workflow is a detail-page scraper. It does not search every neighborhood, crawl every pagination path, bypass login walls, or calculate cubic meters. If your starting point is a search results page, collect and review listing URLs first, then feed only the detail pages you actually need into this workflow.
A scraper controls extraction mechanics. It does not create permission to collect, republish, enrich, or resell data. Keep the batch deliberate and stop when the site asks for verification.
Workflow anatomy
How the Metros Cubicos scraper tutorial workflow works
The JSON export is the authoritative workflow definition. In plain English, the flow is:
Set Window Size -> Navigate URL list -> Wait for Page Load -> Sleep
-> Check for account verification -> Export blocked row or property row
-> Loop Continue
The Navigate block holds the input URLs. The Element Exists block checks for verification selectors such as account screens. If verification appears, the workflow writes a diagnostic row with the current URL and visible page text. If a normal property page appears, it waits for property elements and exports the detail fields.
| Workflow block | What it does | Validation point |
|---|---|---|
| Set Window Size | Opens a stable browser viewport | Helps keep rendered sections consistent. |
| Navigate | Stores the property detail URL list | One URL should produce one CSV row. |
| Waits | Gives the page time to render | Increase only after a failed smoke test. |
| Element Exists | Detects account-verification screens | Prevents blocked pages from looking like blank records. |
| Structured Export | Writes the configured CSV columns | Confirm filename, folder, headers, and append mode. |
| Loop Continue | Advances to the next URL | Keep it at the end of each branch. |
Use the template page as the maintained download path: Metros Cubicos Details Scraper. The article explains the runbook; the template page carries the current JSON workflow.
Runbook
How to scrape Metros Cubicos property details to CSV
Import the workflow
Open the Metros Cubicos Details Scraper template, download the JSON, and import it into UScraper.
Replace the URL list
Open Navigate and replace the bundled sample pages with approved Metros Cubicos or Mercado Libre property detail URLs. Keep the original source list beside the export for audit.
Keep verification handling
Leave the Element Exists branch in place. It records blocked pages instead of silently writing empty property rows.
Set the export folder
Structured Export writes metros-cubicos-detalles-scraper.csv with headers enabled and append mode on. Change the save location before client or market runs.
Run, compare, then scale
Run one URL, compare the CSV against the browser, then continue with a small batch only after price, location, surface, rooms, description, and images match your expectations.
Output
What the Metros Cubicos CSV export includes
The workflow writes one row per supplied detail URL. The field names are intentionally close to the page language so analysts can map the CSV back to the property page without guessing.
metros-cubicos-detalles-scraper.csvColumn
estado
Detected property type and operation, or blocked-status text.
Column
pagina_url
Canonical detail-page URL when available, otherwise the current browser URL.
Column
nombre
Visible property title from the page heading.
Column
precio
Visible money amount from the property detail page.
Column
ubicacion
Location text from the property page.
Column
superficie_total
Total surface when the listing exposes it.
Column
recamaras
Bedroom count or visible room label.
Column
imagen_urls
Unique gallery image URLs joined with a pipe separator.
Sample rows
2 of many
| estado | pagina_url | nombre | precio | ubicacion | superficie_total | recamaras | imagen_urls |
|---|---|---|---|---|---|---|---|
| Casa en Venta | ... | Residencia u hotel boutique en Tepoztlan | MXN 24,000,000 | Tepoztlan, Morelos | 2400 m2 totales | 8 recamaras | | |
| BLOQUEADO - requiere login/verificacion Mercado Libre | ... | Mercado Libre account verification |
| Field group | CSV columns | QA check |
|---|---|---|
| Page identity | estado, pagina_url, nombre, fecha_de_la_publicacion | Use these fields for dedupe and source review. |
| Commercial details | precio, ubicacion | Compare against the visible page before analysis. |
| Property attributes | superficie_total, recamaras, banos, superficie_construida, ambientes, estacionamientos, antiguedad | Treat blanks as QA signals, not automatic zeros. |
| Long-form content | descripcion, imagen_urls | Check for truncated descriptions and duplicate image URLs. |
API and alternatives
Metros Cubicos scraper API, Octoparse alternative, or UScraper
Searches for metros cubicos scraper api, octoparse metros cubicos alternative, and scrape Mercado Libre properties usually mix three different approaches. The right choice depends on whether you need a governed integration, a hosted scraping service, or a supervised desktop CSV export.
| Approach | Best fit | Trade-off |
|---|---|---|
| Mercado Libre real-estate API | Approved property publishing, updates, and retrieval through a documented developer flow | Requires credentials, API work, and fit with the allowed use case. |
| Hosted template or scraper actor | Managed infrastructure, scheduling, and larger queues | Data custody, pricing, and selector logic depend on the vendor. |
| UScraper details template | Analyst-run CSV export from a known URL list | You keep batches modest and maintain selectors when the site changes. |
| Custom Python or Playwright scraper | Full engineering control | You own parsing, retries, storage, monitoring, and compliance review. |
Mercado Libre's developer documentation is useful when your use case fits an approved API integration, especially if you already work with item IDs and catalog fields. Octoparse also publishes separate details and listing templates, which makes it a fair comparison point for teams evaluating no-code scraping tools.
UScraper is strongest when the task is practical and bounded: open a reviewed list of detail pages, export comparable rows, inspect the browser, and keep the file local. If you need a discover-first workflow, browse the UScraper template library for listing-page templates before running this detail scraper. If you need a formal integration path instead, start with the Mercado Libre real-estate API guide and the items and searches API documentation.
Quality control
Validate the property CSV before using it
Open the CSV beside the browser and inspect the first row, last row, and every blocked row. For property research, the minimum reliable fields are source URL, title, price, location, surface, room count, and extraction status.
| Symptom | Likely cause | Fix |
|---|---|---|
| All property fields are blank | Verification or an unloaded page | Review the browser, slow the run, and retry one URL. |
| Price or surface is missing | The listing hides that field or the label changed | Keep the row, then inspect whether the selector needs an update. |
| Duplicate rows | The same URL list was rerun in append mode | Dedupe by pagina_url or start a fresh CSV. |
| Image URLs are noisy | Page loaded tracking images or duplicate gallery sources | Filter after export or update the image selector. |
| API and page values differ | API schema and rendered page text are not identical sources | Pick one source of truth per report and document it. |
FAQ
Metros Cubicos scraping FAQ
Public property pages can still be controlled by platform terms, robots rules, privacy law, copyright, database rights, and local real-estate regulations. Use modest batches, avoid bypassing access controls, and get legal review before commercial reuse.
Next step
Download the Metros Cubicos details scraper
Use the Metros Cubicos Details Scraper template as the maintained download path, then run one URL as a smoke test before replacing the sample list. For adjacent real-estate workflows and comparison articles, browse the UScraper blog or the full template library.