Empresite Listings Scraper
The Empresite listings scraper turns Empresite keyword and directory pages into a clean company CSV. Import the template, provide Empresite listing URLs, and export company names, profile URLs, addresses, descriptions, page keywords, inferred names, and categories from the local desktop app without building a scraper from scratch.
CSV
7
Siguiente loop
18 links
Local app
Who this is for
Export Empresite companies for focused market research
Lead researchers building Spanish company lists
Use it to download Empresite listings from keyword pages or province-style result pages, then filter the CSV by company name, address text, or category before enrichment.
Agencies that need repeatable directory exports
The append-mode CSV makes repeat runs simple: add more Empresite URLs, run the graph, and keep all exported companies in one spreadsheet-friendly file.
Analysts checking long listing pages
The workflow looks for a Spanish Siguiente control after each export and continues while the next page is available, so pagination is not a manual copy-paste job.
Teams avoiding cloud scraping handoffs
Runs happen in the local desktop app. That gives compliance teams a clearer review path than routing search terms and business directory exports through third-party hosted actors.
How to use
Scrape Empresite listing pages in five steps
Download and import
Use the download button on this page to import the hosted JSON template into UScraper.
Add your Empresite URLs
Replace the sample keyword URLs with the Empresite listing, keyword, province, or locality pages you are allowed to collect.
Confirm the save folder
The Structured Export writes empresite-listados-de-empresas-scraper.csv with headers and appends later pages into the same file.
Run with visible waits
The graph sets a large browser window, navigates to each URL, waits for load, checks CAPTCHA markers, and pauses when manual attention is needed.
Open the CSV
Review the exported rows in Excel, Sheets, a CRM import tool, or your own enrichment pipeline.
Output preview
Empresite to CSV field reference
empresite-listados-de-empresas-scraper.csvColumn
palabra_clave
Keyword inferred from the Empresite URL path.
Column
empresa
Visible company link text from the listing row.
Column
empresa_url
Empresite company profile URL.
Column
direccion
Detected address line such as Calle, Avenida, Carretera, or Plaza.
Column
descripcion
Longer listing description when the page exposes one.
Column
name
Structured or inferred organization name from the row container.
Column
categories
Related category links joined into one field.
Sample rows
2 of many
| palabra_clave | empresa | empresa_url | direccion | descripcion | name | categories |
|---|---|---|---|---|---|---|
| Mercado De 2 Mano | Mercado segunda mano s.l. | Calle Londres, 28232, Rozas Madrid, Madrid | Comercio de muebles de segunda mano. | Mercado segunda mano s.l. | ||
| Mercado De 2 Mano | Manos libres s.l. | Calle Fray Luis De Leon, 12, 28012, Madrid, Madrid | Asesoramiento en materia de inversiones tecnologicas y estudios de mercado. | Manos libres s.l. |
Use this page together with related directory templates when you need broader European company coverage: Europages Listing Scraper, Pappers France company search, Societe.com Recherche Scraper, and the full UScraper template library.
FAQ
Frequently asked questions
Empresite pages may be public, but automated collection can still be limited by site terms, robots directives, rate controls, database rights, privacy rules, and local law. Use modest volume, respect CAPTCHA or blocking signals, avoid restricted personal data, and get legal review before redistributing commercial datasets.
Before you run
Limits that keep the export honest
Practical guardrails for Empresite scraping
Manual checks can stop live extraction
Empresite returned HTTP 429 or CAPTCHA during template analysis. The workflow pauses for manual review and uses fallback rows only for diagnosis on known sample URLs.
Directory layouts can change
Address and description fields are inferred from nearby row text. If Empresite changes its cards, check empty columns before trusting a large export.
Use public directory data responsibly
Keep runs small, avoid sensitive use cases, and compare your planned collection with Empresite terms, robots guidance, and applicable Spanish or EU data rules.
Get Started
Download and use this template instantly
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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