Local agencies
Lead qualification
Export Pagine Gialle businesses with phone numbers, service tags, review counts, and categories before assigning approved outreach or enrichment work.
Limited Time — Lifetime Access for just $99. Lock in before prices rise.
This Pagine Gialle scraper turns a prepared list of PagineGialle.it shop detail URLs into a structured CSV. Import the workflow into the UScraper local desktop app, replace the sample restaurant profile URLs, and export business names, addresses, phones, descriptions, services, hours, products, VAT IDs, categories, ratings, reviews, and image URLs without writing browser automation.
CSV
18
Detail URLs
9
Free
At a glance
Use this template when you already have PagineGialle.it profile URLs and need richer shop detail data than a result-list export can provide. It is built for directory QA, local supplier research, CRM enrichment, and market mapping where the source URL, phone number, services, opening hours, categories, and tax identifiers need to stay together in one row.
Profile pages become normalized rows
Each valid shop detail page maps to one CSV row with contact, description, service, category, rating, review, image, and tax fields.
Multi-URL loop included
The Navigate block holds a list of profile URLs. Loop Continue advances through the list so you can process a batch without rebuilding the workflow.
Local custody by default
The run happens in the desktop app and the CSV lands in your configured save folder. The template does not send extracted rows to a hosted crawler by default.
Removed pages are skipped
A text check looks for the Italian removed-page message and continues the loop, which helps avoid junk rows from expired or deleted directory entries.
Who uses it
Local agencies
Lead qualification
Export Pagine Gialle businesses with phone numbers, service tags, review counts, and categories before assigning approved outreach or enrichment work.
Researchers
Business directory audits
Keep a source URL beside each company name, address, opening-hour field, and image link when checking Italian local business coverage.
Data operations
CRM cleanup
Compare existing shop records against exported PagineGialle details, then flag missing VAT IDs, stale phones, or category mismatches for review.
For broader directory workflows, pair this detail-page scraper with the PagineGialle shop list scraper, the Pagine Bianche shop list scraper, and the Europages listing scraper for Italy. After collecting business websites, the Website Contact Details Scraper can help with downstream contact discovery.
How to use
Paste your detail URLs
In Navigate, replace the sample restaurant URLs with PagineGialle.it shop pages you are allowed to research.
Confirm waits and consent handling
The workflow waits for page load, clicks a safe consent button when present, sleeps briefly, and waits for body before extraction.
Review the export path
Structured Export appends to crawler_dettagli_negozi_paginegialle_v2.csv. Change the save folder before client, city, or category batches.
Run a small batch first
Test five to ten URLs, then open the CSV and spot-check source URLs, phone numbers, VAT fields, services, and ratings before scaling.
Output preview
| URL_negozio | Nome_negozio | Indirizzo | Numero_telefono | Servizio1 | Orari_di_apertura | P_IVA | Categorie | Valutazione | Recensioni_totali |
|---|---|---|---|---|---|---|---|---|---|
| https://www.paginegialle.it/pizzeria-bisteccheria-triticum-roma | Pizzeria Bisteccheria Triticum | Via Appia Nuova 220, Roma | 06 5550 1420 | pizzeria | [] | 01234567890 | Ristoranti | 4.4 | 87 |
| https://www.paginegialle.it/ristorante-giapponese-daifuku-roma | Ristorante Giapponese Daifuku | Via Merulana 35, Roma | 06 5550 1888 | sushi | [] | 09876543210 | Ristoranti giapponesi | 4.2 | 41 |
crawler_dettagli_negozi_paginegialle_v2.csvColumn
URL_negozio
Canonical shop detail URL used for traceability.
Column
Nome_negozio
Business name from JSON-LD, H1, or page title fallback.
Column
Indirizzo
Street, postal code, locality, and region when available.
Column
Numero_telefono
Visible phone number or telephone markup.
Column
Descrizione
Long description from profile content, schema, or meta description.
Column
Caratteristiche_e_servizi
Cleaned service labels joined into one field.
Column
Prodotti
Product labels when the profile exposes a products section.
Column
P_IVA
VAT ID parsed from page text.
Column
Codice_fiscale
Tax code parsed from visible page text.
Column
URL_immagine
Representative image URL after filtering logos and placeholders.
The full export also includes Astratto, Servizio1, Servizio2, Servizio3, Orari_di_apertura, Categorie, Valutazione, and Recensioni_totali. Blank cells are normal when a shop profile does not publish a field or when content is loaded differently.
Comparison
UScraper template
LocalCloud scraper or API
HostedA list of exact PagineGialle detail URLs
Best when you have approved pages from a list scraper, manual research, or CRM audit.
Usually keyword, category, or API parameters
Useful for managed crawling, but less transparent when you need to inspect each browser step.
CSV saved on your machine
Good for reviewable exports and internal data handling policies.
Rows pass through a hosted platform
Convenient for APIs, but it may add another vendor to your data flow.
Free template, desktop app licensing
Import the JSON once and reuse it with your own URL batches.
Often usage-based
Costs can scale with rows, pages, retries, or compute time.
PagineGialle.it detail pages may be publicly visible, but automated collection can still be limited by site terms, database rights, privacy law, robots rules, and marketing regulations. Use modest pacing, avoid restricted content, collect only fields you have a lawful reason to process, and review the official policies before outreach or resale.
Before you run
Keep these guardrails in view
Avoid aggressive repeated batches
Start with a small URL list, avoid parallel sessions, and increase waits if PagineGialle responds slowly, repeats consent prompts, or shows verification.
Directory markup can change
Empty exports, missing services, or repeated blank rows usually mean the profile layout, JSON-LD, or text sections changed. Re-run a small QA batch after major site redesigns.
Use business data responsibly
Addresses, phone numbers, VAT IDs, and descriptions may be governed by privacy and platform rules. Keep only necessary fields, document the source, and honor opt-out or deletion requests.
Download and use this template instantly
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All TemplatesHere are some of our most common questions. Can't find what you're looking for?
View All FAQsDownload UScraper and build your first web scraper in under 10 minutes. No subscriptions, no code, no limits.
Available on Windows 10+ and macOS 12+ · Need help? [email protected]