Real-estate analysts
Market snapshots
Favorable to scraping
Collect listing titles, prices, areas, and locations from approved TecnoCasa searches, then compare asking prices by city, property size, or neighborhood.
Real Estate$50Free
TecnoCasa Scraper by URL for CSV Export
This TecnoCasa scraper by URL turns a TecnoCasa property search page into a structured CSV for real-estate research, price checks, and listing monitoring. Import the workflow into the UScraper local desktop app, replace the sample Valencia sales URL with your target TecnoCasa results page, and export title, price, image, location, room, area, and bathroom fields without writing code.
Output
CSV
Fields
8
Pagination
Auto-detect
Input
Listing URL
Template
Free
At a glance
Export TecnoCasa listings without rebuilding a crawler
The template is built for TecnoCasa search and category pages, not individual property detail pages. The sample workflow starts from a Valencia sale-listings URL, but you can swap in another TecnoCasa listing URL for a city, region, property type, or commercial real-estate search before running.
UScraper loads the page, pauses for dynamic content, scrolls down twice, then scrolls back up so image URLs and card text are present. A JavaScript block then identifies listing cards, extracts the property link, image, price, title, location text, rooms, square meters, and bathrooms, and exposes those values as structured rows for the export block.
Spreadsheet-ready property data
Export TecnoCasa property data into a local CSV that can be opened in Excel, Google Sheets, BI tools, or a pricing-analysis workflow.
Pagination is already wired
The graph checks for a next-page control, clicks it when available, waits for the refreshed page, and appends subsequent rows to the same file.
Local desktop execution
The stock template writes the CSV to your configured local folder and does not send listing rows through a hosted scraping actor.
Focused fields
The export stays lean: title, detail URL, image, price, location, rooms, area, and bathrooms.
Who this is for
TecnoCasa data extractor use cases
Agencies and brokers
Competitive checks
Favorable to scraping
Export comparable listing rows from public result pages and review how similar inventory is priced, described, and distributed across local markets.
Research teams
Dataset staging
Nuanced outcome
Use a controlled CSV export as a starting point for manual validation, enrichment, deduplication, or downstream geocoding.
For a broader real-estate workflow, pair this template with the Trovacasa Scraper, Immobiliare Real Estate Listing Scraper, and Zillow Listing Scraper by URL. You can also browse the UScraper template library for follow-up enrichment and search templates.
How to use
Configure the TecnoCasa scraper by URL workflow
2
Add your listing URL
Replace the sample TecnoCasa Valencia URL in the Navigate block with the public result page you want to collect.
3
Confirm the export path
Structured Export writes tecnocasa_scraper_url.csv with headers enabled. Change the save folder before client, region, or campaign-specific runs.
4
Run the page loop
UScraper navigates, waits, scrolls, prepares hidden export rows, exports the current page, checks for a next-page control, and appends more rows when found.
5
Open and audit the CSV
Spot-check listing URLs, images, prices, and blank cells before using the file for reporting, enrichment, or market analysis.
Output preview
CSV columns for TecnoCasa property data
The export mirrors the workflow definition and keeps one row per detected property card. The Spanish column names match the source bundle so existing downstream scripts can read the file without remapping.
| titulo | titulo_url | imagen | precio | estado | estado1 | estado2 | estado3 |
|---|---|---|---|---|---|---|---|
| Piso en venta | https://www.tecnocasa.es/venta/inmuebles/valencia/123456.html | https://cdn-media.medialabtc.it/example.jpg | 185.000 EUR | Valencia, Benimaclet | 3 dorm. | 92 m2 | 2 banos |
| Local comercial en venta | https://www.tecnocasa.es/venta/comerciales/valencia/234567.html | https://cdn-media.medialabtc.it/local.jpg | 120.000 EUR | Valencia, Centro | 70 m2 | 1 bano | |
| Casa en venta | https://www.tecnocasa.es/venta/inmuebles/valencia/345678.html | https://cdn-media.medialabtc.it/casa.jpg | 260.000 EUR | Valencia, Patraix | 4 dorm. | 140 m2 | 2 banos |
tecnocasa_scraper_url.csvColumn
titulo
Property card title, such as Piso en venta or Local comercial en venta.
Column
titulo_url
Canonical URL for the TecnoCasa listing detail page.
Column
imagen
Primary card image URL when lazy-loaded image attributes are available.
Column
precio
Visible asking price text captured from the card.
Column
estado
Location or area text inferred from the listing card.
Column
estado1
Room or bedroom count when present.
Column
estado2
Property area, usually square meters.
Column
estado3
Bathroom count when present.
Headers included - later pages append into the same export when pagination is found
Frequently asked questions
TecnoCasa listing data can be publicly visible, but automated collection may still be limited by site terms, robots directives, copyright, privacy law, and local real-estate rules. Use modest pacing, avoid bypassing access controls, and get legal review before republishing, reselling, or enriching the data commercially.
Before you run
Practical limits and maintenance notes
TecnoCasa may slow, challenge, or block repeated automated browsing. Keep batches modest, avoid parallel runs against the same result page, and pause when CAPTCHA or verification screens appear.
Download the free template, install the local desktop app from UScraper download, and use this workflow whenever you need to export TecnoCasa listings into a structured local CSV.
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.
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