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Paginas Amarillas Latin Scraper for Business Details logo

Paginas Amarillas Latin Scraper for Business Details

This Paginas Amarillas Latin scraper exports business contact details from Latin American Yellow Pages-style directory results into a structured CSV. Import the workflow into the UScraper local desktop app, start from an approved keyword and city, and collect names, addresses, websites, WhatsApp numbers, phone numbers, and detail URLs without building a crawler from scratch.

Output

CSV

Columns

10

Pagination

Next link

Waits

30 sec

Template

Free

At a glance

Export Paginas Amarillas contacts from a keyword and city

The starter URL targets farmacia results in Buenos Aires. Edit the Navigate block when your project needs another approved business category, city, or regional Paginas Amarillas search URL.

Spreadsheet-ready directory contacts

Export local business rows into CSV for Excel, Sheets, CRM review, enrichment tools, or internal lead-qualification queues.

Pagination is already wired

The workflow checks for an enabled Siguiente or next control, clicks it when available, waits for fresh detail links, and appends the next page.

Local desktop custody

Your search URL, row filters, and CSV output stay in your desktop workflow unless you add your own upload or sharing step.

Built for QA

Each row keeps the detail URL path and the keyword/city context, which makes blank fields easier to trace back to the source listing.

Who uses it

Yellow Pages Latin extractor use cases

  • Local agencies can collect category-based prospect lists, dedupe them against a CRM, and keep source detail links beside every record.
  • Market researchers can compare coverage for pharmacies, clinics, contractors, restaurants, or service businesses across cities.
  • Operations teams can build vendor shortlists with phone, website, and address fields before manual qualification.
  • Data teams can use the CSV as a controlled first pass before enrichment with website, email, or social-profile workflows.

For adjacent directory work, compare this page with the Yellow Pages Scraper, the Yellow Pages Spain Product Details Scraper, and the Website Contact Details Scraper. Browse the full UScraper template library when you need follow-up extractors after the CSV is ready.


How to use

Configure the scrape Paginas Amarillas workflow

1

Download and import

Download the hosted JSON template and import it into UScraper.

2

Edit the search URL

In Navigate, replace the bundled farmacia and Buenos Aires URL with the approved category and city you want to research.

3

Check the row filter

The sample marks rows whose card, name, or detail URL contains the pharmacy stem. Update that filter when changing to another business category.

4

Confirm the export path

Structured Export writes paginas_amarillas_latin_detalles_scraper_farmacia.csv with headers and append mode. Change the folder before client or campaign batches.

5

Run and review

UScraper loads each result page, exports matching rows, follows pagination, and stops when no enabled next page remains. Open the CSV and spot-check several detail URLs before downstream use.

Output preview

Paginas Amarillas to CSV field reference

The bundled workflow exports one row per matching business result. Some cells may be blank when a listing does not expose a website, WhatsApp link, phone link, or clearly parseable address.

paginas_amarillas_latin_detalles_scraper_farmacia.csv
CSV - UTF-8 - Append

Column

Sitio_web

Source directory origin from the current page.

Column

Palabra_clave

Configured keyword, such as Farmacia.

Column

Ciudad

Configured city, such as Buenos Aires.

Column

Nombre

Business name text from the marked detail link.

Column

Pagina_URL

Directory origin used for source review.

Column

Detalles_URL

Relative path for the business detail page.

Column

Domicilio

Address text inferred from the result card.

Column

Pagina_web

External website when the listing exposes one.

Column

Contacto_WhatsApp

WhatsApp number or link-derived contact when present.

Column

Telefono

Primary visible phone number from tel links or card text.

Sample rows

2 of many

Sitio_webPalabra_claveCiudadNombrePagina_URLDetalles_URLDomicilioPagina_webContacto_WhatsAppTelefono
FarmaciaBuenos AiresFarmacia Central Palermo/fichas/farmacia-central-palermoAv. Santa Fe 3200, Buenos Airesfarmaciacentral.example.ar549115550184011 5550-0184
FarmaciaBuenos AiresFarmacia Belgrano Norte/fichas/farmacia-belgrano-norteJuramento 2100, Buenos Aires011 5555-2410
Headers included - paginated result pages append into one file

FAQ

Frequently asked questions

Business directory pages may be public, but automated collection can still be limited by site terms, robots rules, privacy law, database rights, and local marketing regulations. Use modest pacing, avoid restricted pages, keep source URLs, and review the current policies before resale, enrichment, or outreach.

Before you run

Practical limitations and maintenance

Guardrails for reliable directory exports

Rate limits

Avoid aggressive repeated runs

Keep the waits in place, avoid parallel runs against the same directory, and pause if pages slow down, show CAPTCHA, or return unexpected empty content.

Layout drift

Directory markup can change

The template marks detail links and extracts visible card text. Blank names, missing websites, or early loop exits usually mean the page layout or category filter needs a refresh.

Compliance

Use contact data responsibly

Phone numbers, WhatsApp links, and addresses can be regulated business or personal data depending on context. Collect only what you need and follow applicable privacy and outreach rules.

Need extra enrichment after the export? Run selected websites through the Contact Details Scraper, find extra channels with the Email and Social Finder, or install the app from UScraper download.

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

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