We extract company listings, contact details, VAT numbers, operating hours, and reviews from PagineGialle. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Business Listings objects from paginegialle.it. All fields typed and schema-versioned.
"business_id": "pg_8923145", "name": "Ristorante Da Mario", "vat_number": "IT01234567890", "primary_category": "Ristoranti", "phone_number": "+39 06 1234567", "email": "info@damarioroma.it", "rating_average": 4.5, "review_count": 128
| # | business_id | name | vat_number | primary_category | secondary_categories | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operating Hours objects from paginegialle.it. All fields typed and schema-versioned.
"business_id": "pg_8923145", "monday_open": "12:00", "monday_close": "15:00", "tuesday_open": "12:00", "tuesday_close": "15:00", "saturday_open": "19:00", "saturday_close": "23:30", "is_open_now": false
| # | business_id | monday_open | monday_close | tuesday_open | tuesday_close | wednesday_open |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from paginegialle.it. All fields typed and schema-versioned.
"review_id": "rev_459102", "business_id": "pg_8923145", "author_name": "Giuseppe R.", "rating": 5, "review_text": "Ottimo cibo e personale cortese. Consigliato.", "review_date": "2023-10-14", "platform_source": "PagineGialle", "helpful_votes": 12
| # | review_id | business_id | author_name | author_profile_url | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Data objects from paginegialle.it. All fields typed and schema-versioned.
"business_id": "pg_8923145", "latitude": 41.902783, "longitude": 12.496365, "street_address": "Via Roma 15", "city": "Roma", "province": "RM", "region": "Lazio", "zip_code": "00184"
| # | business_id | latitude | longitude | street_address | city | province |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from paginegialle.it. All fields typed and schema-versioned.
"keyword": "idraulico", "location_query": "Milano", "position": 3, "business_id": "pg_774129", "business_name": "Pronto Intervento Idraulico Milano", "is_sponsored": true, "rating": 4.8, "scraped_at": "2023-11-01T10:15:00Z"
| # | keyword | location_query | position | business_id | business_name | is_sponsored |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our PagineGialle scraper resolves dynamic phone numbers, parses operating hours, and extracts verified VAT numbers across every Italian province — bypassing IP blocks and CAPTCHAs automatically.
Capture company names, descriptions, primary and secondary categories, website links, and social media profiles directly from the listing.
Extract email addresses and resolve click-to-reveal phone numbers using automated JavaScript execution.
Isolate and validate Partita IVA (VAT numbers) for B2B enrichment and corporate identity verification.
Collect review text, author names, star ratings, dates, and merchant responses across all paginated review pages.
Extract precise latitude and longitude coordinates, street addresses, provinces, and ZIP codes for spatial analysis.
Parse unstructured opening hours into a clean, queryable schema mapped to specific days of the week.
Identify paid placements versus organic rank for any keyword and location combination.
Scrape entire category trees and track how businesses rank for specific industry keywords in local searches.
Run one-off provincial exports or configure continuous pipelines to track new business registrations and closures.
Brief in. Clean data out.
Provide categories, regions, provinces, or specific search queries. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, Italian proxy rotation, and CAPTCHA handling for paginegialle.it.
Schema validation, null-rate checks, phone number resolution tests, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory scraping requires specific regional infrastructure and dynamic rendering capabilities. Here is how we maintain reliable extraction.
PagineGialle aggressively blocks traffic originating outside Italy and flags datacenter IPs. We route all requests through ISP-grade Italian residential proxies to ensure uninterrupted access and accurate localized search results.
Phone numbers and certain email addresses are obfuscated behind JavaScript event listeners. We deploy headless Playwright sessions to trigger these elements and capture the unmasked data.
Search results often cap at a fixed number of pages. We bypass this by programmatically subdividing queries by micro-regions (ZIP codes or neighborhoods) to extract the entire business catalogue without hitting hard limits.
Directory DOM structures can be inconsistent across different business tiers (free vs premium listings). We use multi-layered fallback selectors to capture data reliably regardless of the profile template.
For ongoing monitoring, we hash existing records and only push diffs when a business updates its hours, adds a phone number, or closes permanently — optimising your storage and compute costs.
Sales teams build targeted outreach lists using verified phone numbers, emails, and VAT data filtered by province and industry.
Agencies track client ranking positions against competitors for specific local keywords and monitor review sentiment.
Consultancies map business density across Italian regions to identify underserved markets or plan retail expansion.
CRM administrators append missing VAT numbers, operating hours, and updated contact details to existing corporate databases.
Brands track customer feedback across franchise locations to maintain service quality and respond to negative sentiment.
Private equity firms analyze category growth, closure rates, and review velocity to evaluate specific regional markets.
"PagineGialle holds the most comprehensive index of Italian SMEs, but extracting clean, structured VAT numbers and contact data requires bypassing aggressive rate limits."
Most engineering teams underestimate the friction of directory scraping. PagineGialle employs dynamic phone number obfuscation, strict IP rate limiting, and complex pagination. DataFlirt manages the residential proxies and DOM parsing, delivering structured business records directly to your warehouse so you can focus on utilizing the data.
Everything supported by our paginegialle.it scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering to unmask click-to-reveal phone numbers and emails.
We maintain dedicated pools of Italian residential ISP proxies. Rotation happens per-request to prevent IP bans and ensure localized search fidelity.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About paginegialle.it scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available B2B information is generally permissible under EU law, provided it complies with GDPR. DataFlirt extracts only public business data (company names, business contacts, VAT numbers). We do not extract private consumer data or bypass authentication walls. Clients should ensure their use of the data (e.g., cold outreach) complies with local regulations.
PagineGialle obfuscates phone numbers to prevent basic scraping. We use headless Playwright instances to render the DOM, simulate user interaction, and capture the network response containing the unmasked contact details.
Yes. PagineGialle heavily restricts non-Italian traffic. We utilize a strictly managed pool of Italian residential proxies to ensure access and prevent geo-blocking.
Yes. VAT numbers are extracted and validated where present on the business profile, providing a unique identifier for CRM enrichment and deduplication.
For continuous pipelines, we can configure daily or weekly runs to capture new business registrations, updated hours, or recent reviews. Full category refreshes depend on the requested volume.
Our minimum engagement typically starts at a defined category or province extraction (e.g., all restaurants in Lombardy). For nationwide catalogues, we price based on total record volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 business listings or a specific local search query as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off regional export or a continuous feed of Italian B2B contacts — we scope, build, and operate the pipeline. Tell us what you need.
