Real estate analysts
Comparable listings
Build a repeatable Lamudi to CSV file for checked properties, then filter by price, area, amenities, neighborhood text, and image availability.
Limited Time — Lifetime Access for just $99. Lock in before prices rise.
This Lamudi post details scraper turns approved Lamudi Mexico property detail URLs into a structured CSV. Import the workflow into the UScraper local desktop app, replace the sample links, and export title, price, address, bedrooms, bathrooms, built area, description, amenities, image URLs, page URL, publication date, and scrape timestamp without building a custom crawler.
CSV export
16
URL loop
Up to 5
Free template
At a glance
Use this template when you already have the Lamudi detail pages your team wants to review: shortlist URLs from a broker, saved sale comps, rental inventory, or links collected by the Lamudi Listing Scraper. A detail-page Lamudi property scraper is useful because every row maps back to one exact listing URL, making manual verification easier than relying only on search-card snippets.
The automation is intentionally readable. Navigate loops through the configured URLs, waits for load, confirms the page body exists, checks for a human-confirmation challenge, scrolls the page, runs a compact extraction script, pauses for the page state to settle, and then Structured Export appends one CSV row. For broader real estate research, compare the output with the Propiedades Post Details Scraper, Vivanuncios Post Details Scraper, and Zillow Details Scraper.
Detail-page fields in spreadsheet form
Export the facts analysts usually need first: price, address, room counts, built area, long description, amenities, images, publication date, and source URL.
Multi-URL input included
Add target Lamudi detail URLs to the Navigate block. Each accessible page appends to the same CSV with headers enabled.
Challenge-aware output
If Lamudi serves a human-confirmation page, the workflow routes to Loop Continue and avoids writing a misleading property row.
Local desktop execution
The stock workflow writes to your configured local folder and does not send listing rows to a hosted scraping queue.
Who this is for
Real estate analysts
Comparable listings
Build a repeatable Lamudi to CSV file for checked properties, then filter by price, area, amenities, neighborhood text, and image availability.
Brokerage operations
Inventory review
Keep one spreadsheet row per approved detail page when reviewing property descriptions, publication dates, and visible feature claims before follow-up.
Market researchers
Source comparison
Compare selected Lamudi Mexico pages with sibling exports from other real-estate templates, then open the original URLs before reporting outliers.
How to use
Download and import
Download the hosted Lamudi post details scraper JSON and import it into UScraper.
Replace the starter URLs
Open the Navigate block and replace the two sample Lamudi Mexico detail links with the property pages approved for your research run.
Confirm the export path
Structured Export writes lamudi-detalles-scraper.csv with headers and append mode. Change the save folder before client, city, or campaign-specific batches.
Run the URL loop
UScraper navigates, waits for load, checks for a human-confirmation page, scrolls, extracts normalized fields, sleeps briefly, exports, and advances to the next URL.
Open and verify the CSV
Spot-check several rows against live Lamudi pages before using the export in valuation, outreach, BI, or internal reporting.
Output preview
The export focuses on detail-page fields rather than search-result cards. Some cells can be blank when a listing does not publish that value, the page expires, media is lazy-loaded differently, or Lamudi changes the layout.
| titulo | precio | direccion | recamaras | banos | construidos | imagen1_url |
|---|---|---|---|---|---|---|
| Departamento en venta en Polanco | $ 7,850,000 MXN | Polanco, Miguel Hidalgo, CDMX | 2 recamaras | 2 banos | 118 m2 | https://images.lamudi.example/depto-1.webp |
| Casa con jardin en Merida | $ 4,300,000 MXN | Conkal, Merida, Yucatan | 3 recamaras | 3 banos | 220 m2 | https://images.lamudi.example/casa-1.webp |
| Local comercial en renta | $ 42,000 MXN | Monterrey, Nuevo Leon | 1 bano | 85 m2 | https://images.lamudi.example/local-1.webp |
lamudi-detalles-scraper.csvColumn
titulo
Property title from H1, structured data, Open Graph data, or document title.
Column
precio
Visible price text or structured data price when available.
Column
direccion
Address or location text from page markup, metadata, or structured data.
Column
recamaras
Bedroom or room count parsed from visible page text.
Column
banos
Bathroom count parsed from visible page text.
Column
construidos
Built area in m2 or square-meter wording when present.
Column
descripcion
Long listing description from page content, JSON-LD, or meta description.
Column
amenidades
Amenity terms such as garaje, jardin, seguridad, terraza, elevador, or alberca.
Column
imagen1_url
First property image URL, with imagen2_url through imagen5_url for additional media.
Column
pagina_url
The final Lamudi URL opened by the Navigate block.
Column
fecha_publicacion
Published date from time elements or embedded structured data.
Column
hora_actual
ISO timestamp recorded when the row is exported.
Comparison
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Lamudi detail template | No-code teams that need selected Lamudi pages exported to CSV from a local desktop app | Best for controlled URL lists, not unmanaged high-volume crawling |
| Hosted scraper actors | Teams that want managed infrastructure or API scheduling | Property URLs and results pass through a third-party cloud service |
| Custom scraping script | Developers who need full control over parsing and retry logic | Requires code maintenance when Lamudi markup or challenge behavior changes |
Lamudi pages can be publicly visible and still governed by Lamudi terms, robots guidance, copyright, broker agreements, privacy law, and real estate data rules. Use conservative pacing, do not bypass access controls or human checks, and get legal review before republishing, enriching, or reselling property data.
Before you run
Guardrails for reliable Lamudi detail exports
Keep batches modest and paced
High-frequency page loads can trigger throttling or human-confirmation pages. Avoid parallel runs, keep approved URL batches small, and pause when challenges appear repeatedly.
Real estate layouts can change
Empty descriptions, amenities, images, or publication dates usually mean the listing omits that value, lazy loading changed, or Lamudi adjusted markup. Recheck columns before relying on a production export.
Review platform and data-use rules
Treat descriptions, addresses, image URLs, and broker-published details as business data. Confirm your legal basis before outreach, resale, model training, or public redistribution.
Download the free template, install the local desktop app from UScraper download, and keep the hosted Lamudi scraper JSON versioned with each approved export Lamudi listings run.
Download and use this template instantly
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All TemplatesHere are some of our most common questions. Can't find what you're looking for?
View All FAQsDownload UScraper and build your first web scraper in under 10 minutes. No subscriptions, no code, no limits.
Available on Windows 10+ and macOS 12+ · Need help? [email protected]