This Lamudi web scraping tutorial shows how to turn approved Lamudi Mexico property detail URLs into a clean CSV with the Lamudi Post Details Scraper. You will import the workflow, replace the sample /detalle/ links, validate the export shape, and decide when a scraper API or custom code is a better fit.
Before you start
Prerequisites for scraping Lamudi property details
You need UScraper installed as a local desktop app, the free Lamudi Post Details Scraper template, a writable export folder, and a short list of Lamudi detail URLs you are allowed to process. The bundled workflow is built for Lamudi Mexico property detail pages such as https://www.lamudi.com.mx/detalle/..., not broad search-result crawling or automated discovery from a city page.
Start with three to five URLs. Open each one manually in the same browser profile you will use for the run. If the page is unavailable, redirects, shows a human-confirmation screen, or hides core property details, remove it from the first batch.
Technical access is not permission. Review the current Lamudi rules for the country you are using, keep collection proportional, avoid bypassing access controls, and use official or partner routes when you need redistribution rights.
Workflow shape
How the Lamudi post details scraper works
The JSON export is the authoritative workflow definition. In plain English, it follows a multi-URL loop: navigate to a Lamudi detail page, wait for the body, check whether Lamudi displayed the text Let's confirm you are human, extract fields only when the real page is available, write one CSV row, then continue to the next URL.
| Workflow block | Purpose | Validation check |
|---|---|---|
| Navigate | Stores the list of Lamudi detail URLs | Replace the sample URLs before scaling. |
| Wait for Page Load | Gives the page time to render | Increase only when normal pages load slowly. |
| Text Contains | Detects the human-confirmation page | Skipped URLs should not become fake data rows. |
| Inject JavaScript | Builds window.US_LAMUDI_DETAIL helpers | Compare parser output against the browser. |
| Structured Export | Appends CSV columns | Confirm filename, folder, headers, and append mode. |
| Loop Continue | Advances the URL list | One reachable URL should map to one row. |
The bundled parser uses a mix of visible selectors, meta tags, JSON-LD, text patterns, and image discovery. That makes it more resilient than a single CSS selector, but it still depends on the live page structure. Treat the first export as a QA artifact, not as final market data.
{
"project": {
"name": "Lamudi Post Details Scraper",
"description": "Scrapes Lamudi Mexico property detail pages by URL"
},
"flow": [
"Navigate through configured detail URLs",
"Wait for body",
"Skip pages containing Let's confirm you are human",
"Inject parser JavaScript",
"Append a row to lamudi-detalles-scraper.csv"
],
"outputColumns": [
"titulo",
"precio",
"direccion",
"recamaras",
"banos",
"construidos",
"descripcion",
"amenidades",
"imagen1_url",
"imagen2_url",
"imagen3_url",
"imagen4_url",
"imagen5_url",
"pagina_url",
"fecha_publicacion",
"hora_actual"
]
}
Runbook
How to scrape Lamudi property details to CSV
Import the Lamudi template
Open Lamudi Post Details Scraper, download the JSON, and import it into UScraper.
Replace the sample URLs
In the Navigate block, replace the sample Lamudi Mexico links with detail pages from your approved URL list.
Watch the first page load
Run a tiny batch while watching the browser. Continue only when the real property detail page renders.
Confirm the CSV destination
In Structured Export, check lamudi-detalles-scraper.csv, includeHeaders, append mode, and the save folder.
Compare row values
Spot-check title, price, address, bedrooms, bathrooms, built area, description, amenities, image URLs, and publication date.
Scale after cleanup
Dedupe test rows, remove expired URLs, document any selector edits, then expand the URL list.
Because the stock workflow uses append mode, rerunning the same input list writes additional rows. For clean QA, create a dated folder for each test or clear the CSV before repeating a batch.
Output
Validate the Lamudi CSV export shape
The bundle does not include a static CSV sample. That is a useful constraint: your first validation run should prove that today's Lamudi pages still match the workflow. Use the expected schema below as the contract, then compare the first few rows against the live browser.
lamudi-detalles-scraper.csvColumn
titulo
Property title or listing headline.
Column
precio
Displayed price text.
Column
direccion
Address or area text.
Column
recamaras
Bedroom count when visible.
Column
banos
Bathroom count when visible.
Column
construidos
Built area such as m2 or square meters.
Column
descripcion
Listing description text.
Column
amenidades
Amenity lines such as security, balcony, garden, or parking.
Column
imagen1_url
First detected property image URL.
Column
imagen2_url
Second detected property image URL.
Column
imagen3_url
Third detected property image URL.
Column
imagen4_url
Fourth detected property image URL.
Column
imagen5_url
Fifth detected property image URL.
Column
pagina_url
Final page URL processed.
Column
fecha_publicacion
Publication date when available.
Column
hora_actual
Scrape timestamp in ISO format.
Tool choice
Lamudi scraper tools: local desktop app, API alternative, or code?
Searches for best Lamudi scraper tools, Lamudi scraper API alternative, and Octoparse vs Apify Lamudi scraper usually come from the same decision: do you need an analyst-controlled CSV today, or a managed data pipeline?
Use UScraper when you already have selected Lamudi detail URLs, want local CSV custody, and need a workflow your team can inspect block by block.
For this tutorial, the wedge is specific: supervised export from supplied detail URLs into a local CSV. That keeps the workflow easy to audit while you learn whether the data is useful.
Troubleshooting
Common Lamudi scraping issues
| Symptom | Likely cause | Fix |
|---|---|---|
| URL is skipped | Human-confirmation text appeared | Stop the run and remove that URL from automation. |
| Price or address is empty | Field is absent, delayed, or moved in the page layout | Inspect one page and adjust waits or parser selectors. |
| Duplicate rows | Append mode plus repeated test runs | Dedupe by pagina_url and start the next run in a clean folder. |
| Image URLs look wrong | Logos, icons, or lazy images were detected | Keep only property-photo URLs during QA. |
| Publication date is blank | The page does not expose a clear date | Treat it as optional unless your use case depends on recency. |
FAQ
Lamudi scraper FAQ
Lamudi pages can be publicly visible and still governed by site terms, robots guidance, copyright, broker agreements, privacy law, real estate data rules, and anti-abuse systems. Keep runs modest, avoid bypassing access controls or human checks, and get legal review before republishing or reselling property data.
Next step
Download the Lamudi post details scraper
Use Lamudi Post Details Scraper as the maintained download path, then keep this tutorial open while you validate your first CSV. For adjacent workflows, browse all UScraper templates or return to the UScraper blog.