We extract business profiles, residential contacts, phone numbers, VAT IDs, and address coordinates from PagineBianche. 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 paginebianche.it. All fields typed and schema-versioned.
"business_name": "Ristorante Da Mario", "category": "Ristoranti", "address_city": "Roma", "address_province": "RM", "phone_number": "+39 06 1234567", "vat_id": "IT12345678901", "website": "https://www.damarioroma.it"
| # | business_name | category | sub_category | address_street | address_city | address_province |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Residential Records objects from paginebianche.it. All fields typed and schema-versioned.
"first_name": "Giuseppe", "last_name": "Rossi", "full_name": "Giuseppe Rossi", "address_city": "Milano", "address_province": "MI", "phone_number": "+39 02 9876543"
| # | first_name | last_name | full_name | address_street | address_city | address_province |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Professional Services objects from paginebianche.it. All fields typed and schema-versioned.
"professional_name": "Studio Legale Bianchi", "profession_type": "Avvocato", "city": "Napoli", "province": "NA", "phone": "+39 081 1122334", "pec": "bianchi@pec.avvocati.it"
| # | professional_name | profession_type | specialization | address | city | province |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from paginebianche.it. All fields typed and schema-versioned.
"search_keyword": "idraulico", "location_query": "Torino", "result_position": 1, "name": "Idraulica Torinese", "primary_phone": "+39 011 5566778", "sponsored": false
| # | search_keyword | location_query | result_position | listing_type | name | snippet |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Geodata objects from paginebianche.it. All fields typed and schema-versioned.
"listing_id": "PB-998877", "name": "Farmacia Centrale", "latitude": 45.4642, "longitude": 9.19, "province": "MI", "cap_code": "20121"
| # | listing_id | name | address_full | latitude | longitude | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our PagineBianche scraper navigates regional search filters, bypasses rate limits, and extracts deeply nested contact data, including Partita IVA, PEC emails, and geographic coordinates.
Extract comprehensive company profiles including registered names, addresses, primary phone numbers, and operational categories.
Scrape private citizen listings by surname, capturing full names, addresses, and landline numbers across all Italian municipalities.
Extract VAT numbers and certified email addresses (PEC) critical for B2B compliance and official communications in Italy.
Input phone numbers to extract associated entities, returning the registered business or individual tied to the line.
Crawl listings systematically by region, province, municipality, or CAP (postal) code to ensure total territorial coverage.
Navigate macro and micro categories automatically, building complete datasets for specific industries like hospitality or healthcare.
Target specific professions like doctors, lawyers, and architects, capturing specialisations and registry numbers.
Capture latitude and longitude parameters embedded in listing maps for geospatial analysis and routing applications.
Traverse thousands of result pages without missing records, handling dynamic loading and query string state.
Brief in. Clean data out.
Provide target categories, regions, or CAP codes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, Italian proxy rotation, and session management for paginebianche.it.
Schema validation, null-rate checks for phone numbers, and location normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory sites aggressively throttle bulk extraction. Here is how we maintain steady throughput and clean data.
PagineBianche restricts access from non-Italian IP ranges and blocks datacenter IPs. We route all requests through Italian residential proxies to ensure high success rates and prevent geo-blocking.
Directory sites use strict rate limits per session. Our orchestrator manages request velocity, applying exponential backoff and automatic proxy rotation when HTTP 429 status codes are detected.
Deep category searches yield thousands of pages. We maintain state across distributed workers, ensuring crawls can resume seamlessly after interruptions without duplicating records.
Business listings and residential records share inconsistent HTML structures. We use resilient selector fallbacks to normalise names, addresses, and phone numbers into a strict schema.
Certain contact details like emails and phone numbers are loaded dynamically or obfuscated in the DOM. We use Playwright to execute required JavaScript and reveal the underlying values.
Sales teams build targeted outreach lists by extracting businesses within specific Italian provinces and industry categories.
Marketing agencies audit NAP (Name, Address, Phone) consistency across local directories to optimise search rankings.
Enterprises enrich existing CRM records by cross-referencing Italian client data with authoritative directory listings.
Generating localised call lists for outbound campaigns using filtered residential and commercial phone records.
Analysing business density and competitor locations across Italian municipalities using extracted geocoordinates.
Cross-referencing entity identities, addresses, and VAT IDs to verify Italian merchants and customers during onboarding.
"PagineBianche holds the definitive map of Italian commerce and residency, but extracting millions of records requires navigating strict rate limits and complex regional hierarchies."
Most teams fail at directory scraping because they underestimate the rate limiting and inconsistent schema across different listing types. DataFlirt absorbs that complexity, deploying localised Italian proxies and resilient error handling so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our paginebianche.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, deduplication, and retry logic. Playwright handles JavaScript execution for obfuscated contact details. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies strictly within Italy. Rotation happens per-request to distribute load and prevent rate limiting from directory firewalls.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 paginebianche.it scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible, provided it complies with data protection regulations like GDPR. DataFlirt extracts only public records. Clients must ensure their subsequent use of the data, especially for marketing, complies with Italian privacy laws and the opt-out registry (Registro delle Opposizioni).
We use Italian residential ISP proxies and enforce strict concurrency controls. Our orchestrator applies exponential backoff and automatically rotates IPs if throttling is detected, ensuring continuous extraction without triggering blocks.
Yes. When a business profile includes a Partita IVA (VAT number) or a PEC (certified email), our pipeline captures and normalises these fields into the final dataset.
Pipelines run on your specified cadence. For total directory sweeps, runs typically complete within days depending on scale. Targeted category or regional updates can run daily or weekly.
Absolutely. We can configure the pipeline to target specific regions (e.g., Lombardia), provinces (e.g., Milano), municipalities, or exact CAP (postal) codes to limit extraction to your required geographic scope.
Yes. If you provide a list of Italian phone numbers, we can script the pipeline to query each number and extract the associated business or residential entity.
Our minimum engagement typically starts with a defined extraction scope, such as a specific industry category nationwide or all businesses within a specific region. Contact us with your target parameters for a precise quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full export of Italian pharmacies or continuous monitoring of new business registrations in Lombardy, we scope, build, and operate the pipeline. Tell us what you need.
