This tutorial shows how to scrape TecnoCasa listings into CSV with the TecnoCasa Scraper by URL template for UScraper. You will import the workflow, replace the sample URL, set the export path, run a sample, and validate property rows.
Before you start
Prerequisites for a TecnoCasa web scraping tutorial
You need UScraper installed as a local desktop app, the TecnoCasa Scraper by URL template, a public TecnoCasa listing URL, and a local export folder. Start with one city or region page, not a large queue of searches.
The template is built for listing pages, not individual detail pages. The bundled JSON uses a sample Spanish TecnoCasa results URL and extracts visible card fields: title, detail URL, image, price, location text, rooms, area, and bathrooms. If your target URL uses another country, language, or layout, run a short sample first.
Review TecnoCasa rules, robots.txt, privacy policy, law, and your intended use before automation.
Technical access is not the same as permission. Do not bypass login walls, CAPTCHA, consent flows, rate limits, or access controls. For resale, enrichment at scale, or AI training, get legal review first.
Workflow anatomy
What the TecnoCasa scraper by URL does
The JSON export is the authoritative workflow definition. In plain English, the template follows this path:
Navigate -> Wait for Page Load -> Sleep -> Scroll -> Inject JavaScript
-> Wait for Rows -> Structured Export -> Check Next Page -> Click -> Append Export
The scroll steps matter because many real-estate pages lazy-load images and card content. After the page settles, the JavaScript block searches for property detail links, chooses the surrounding listing card, reads visible text, finds image URLs, detects price and property facts, and exposes each listing as a hidden row with data attributes. Structured Export then reads those hidden rows into a CSV.
| Workflow block | Purpose | Validation check |
|---|---|---|
| Navigate | Opens the target TecnoCasa listing URL | Replace the sample URL before a real run. |
| Scroll and Sleep | Lets lazy-loaded cards and images appear | Increase waits only when cards load slowly. |
| Inject JavaScript | Converts listing cards into exportable rows | Confirm row count is above zero. |
| Structured Export | Writes the CSV columns | Check filename, save folder, headers, and mode. |
| Element Exists and Click | Finds pagination and appends later pages | Stop if the page shows verification or empty results. |
Runbook
How to scrape TecnoCasa listings to CSV
Import the workflow
Open TecnoCasa Scraper by URL, download the JSON template, and import it into UScraper.
Replace the sample URL
In the Navigate block, paste the TecnoCasa search, sale, rental, apartment, or commercial listing URL your team has approved for collection.
Set the export folder
Structured Export writes tecnocasa_scraper_url.csv. Change the save location to a project folder before client, market, or recurring analysis runs.
Run a small sample
Run one page while watching the browser. Pause if TecnoCasa shows a consent screen, CAPTCHA, unavailable page, or layout that does not resemble the tested card format.
Validate, then widen
Open the CSV, compare several rows with the live page, clear test exports if needed, then rerun with the exact URL set you want to keep.
Because append mode can add duplicate rows, use a dated filename, clear the previous test CSV, or dedupe by titulo_url after export.
Output
TecnoCasa scraper CSV columns
The export is intentionally narrow: fields you can usually check against a visible listing card without opening every detail page.
tecnocasa_scraper_url.csvColumn
titulo
Listing title or property type text.
Column
titulo_url
Absolute URL for the TecnoCasa detail page.
Column
imagen
Image URL when the card exposes one.
Column
precio
Visible price text from the listing card.
Column
estado
Location, area, or status text.
Column
estado1
Room or bedroom count when visible.
Column
estado2
Area, usually square meters when visible.
Column
estado3
Bathroom count when visible.
There is no CSV sample in the bundle, so treat the workflow JSON as the source of truth. The important export shape is:
{
"project": {
"name": "TecnoCasa Scraper by URL",
"description": "Extracts TecnoCasa real-estate listing data from a listing URL."
},
"blocks": [
{ "title": "Navigate", "config": { "url": "https://www.tecnocasa.es/venta/inmuebles/comunidad-valenciana/valencia.html" } },
{ "title": "Inject JavaScript", "config": { "waitForCompletion": true, "timeout": 15 } },
{
"title": "Structured Export",
"config": {
"rowSelector": ".uscraper-tecnocasa-row",
"fileName": "tecnocasa_scraper_url.csv",
"fileMode": "create",
"columns": ["titulo", "titulo_url", "imagen", "precio", "estado", "estado1", "estado2", "estado3"]
}
}
]
}
For validation, sort the CSV by titulo_url, open three random URLs, and compare price, location, area, and bathroom text against the visible listing card. Empty imagen cells are often a lazy-loading signal. Empty estado1, estado2, or estado3 cells can also be normal when a card does not show that fact.
Quality control
Validate before using the TecnoCasa data
Rows can be empty when the URL is not a listing page, a regional layout changes, lazy-loaded content does not finish, or a consent or CAPTCHA screen interrupts the run. Missing images usually mean the card image did not load before export. Pagination can also stop early if the page uses a different next-page label or infinite scroll.
For supervised research, audits, and spreadsheet exports, a local TecnoCasa scraper is usually enough. Consider a scraper API alternative or managed data service when you need scheduled infrastructure, guaranteed delivery, server-to-server JSON, proxy contracts, or formal support commitments.
FAQ
TecnoCasa scraper FAQ
Public visibility does not guarantee permission. Review current terms, robots directives, copyright, privacy law, consent rules, and local real-estate regulations. Keep batches modest and avoid bypassing access controls.
Next step
Download the TecnoCasa scraper by URL template
Use this article as the runbook and the template page as the download source. Import TecnoCasa Scraper by URL, run one approved listing page, inspect tecnocasa_scraper_url.csv, then browse more real-estate workflows in the template library or related tutorials in the UScraper blog.