Limited Time — Lifetime Access for just $99. Lock in before prices rise.

UScraper
Real Estate$50Free
Lamudi Post Details Scraper for CSV Export logo

Lamudi Post Details Scraper for CSV Export

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.

Output

CSV export

Columns

16

Input

URL loop

Images

Up to 5

Cost

Free template

At a glance

Scrape Lamudi property details from known URLs

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

Lamudi to CSV use cases

Real estate analysts

Comparable listings

Favorable to scraping

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

Favorable to scraping

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

Nuanced outcome

Compare selected Lamudi Mexico pages with sibling exports from other real-estate templates, then open the original URLs before reporting outliers.


How to use

Configure the Lamudi scraper workflow

1

Download and import

Download the hosted Lamudi post details scraper JSON and import it into UScraper.

2

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.

3

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.

4

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.

5

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

What the Lamudi CSV contains

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.

titulopreciodireccionrecamarasbanosconstruidosimagen1_url
Departamento en venta en Polanco$ 7,850,000 MXNPolanco, Miguel Hidalgo, CDMX2 recamaras2 banos118 m2https://images.lamudi.example/depto-1.webp
Casa con jardin en Merida$ 4,300,000 MXNConkal, Merida, Yucatan3 recamaras3 banos220 m2https://images.lamudi.example/casa-1.webp
Local comercial en renta$ 42,000 MXNMonterrey, Nuevo Leon1 bano85 m2https://images.lamudi.example/local-1.webp
lamudi-detalles-scraper.csv
CSV - UTF-8 - Append

Column

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.

Headers included - one accessible Lamudi detail URL appends one row

Comparison

Local Lamudi data extractor vs cloud actors

OptionGood fitTrade-off
UScraper Lamudi detail templateNo-code teams that need selected Lamudi pages exported to CSV from a local desktop appBest for controlled URL lists, not unmanaged high-volume crawling
Hosted scraper actorsTeams that want managed infrastructure or API schedulingProperty URLs and results pass through a third-party cloud service
Custom scraping scriptDevelopers who need full control over parsing and retry logicRequires code maintenance when Lamudi markup or challenge behavior changes

Frequently asked questions

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

Limits and maintenance notes

Guardrails for reliable Lamudi detail exports

Rate limits

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.

Selector drift

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.

Compliance

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.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

Browse more templates in the library

All Templates
FAQ

Frequently asked questions

Here are some of our most common questions. Can't find what you're looking for?

View All FAQs

Stop writing scripts. Start scraping visually.

Download 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]