Beyfin Petrol Station Locations Dataset – Italy
Beyfin Petrol Station Locations Dataset – Italy
Beyfin is a leading Italian independent energy company recognized by its green lily logo and a strong focus on LPG and methane. It operates a wide network of service stations primarily in Central and Northern Italy, offering both traditional fuels and eco-friendly alternatives.
There are 118 Beyfin Petrol Stations as of 7 July 2026 in Italy. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Beyfin locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.
Dataset Summary
- Dataset Coverage: 118 Beyfin petrol stations in Italy
- Contents: Coordinates, addresses, postal codes, administrative divisions, and contact details
- File Format: Fully geocoded CSV dataset (UTF-8)
- Free Sample: Instantly accessible dataset to verify structure and data quality
- Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
- Last Updated: 7 July 2026
Dataset Methodology:
This dataset is compiled from publicly available business listings, official company sources, and geospatial validation workflows. Automated quality checks and manual analyst reviews are applied to improve coordinate precision, address standardisation, duplicate detection, and overall analytical consistency.
It is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.
Dataset fields included in the CSV:
- GUID
- Title
- Group
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Commune
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Phone
- Website
- Fuel Type
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)69%
- Web Address69%
- Opening Hours69%
Data Preview: Sample geospatial records from the Beyfin dataset in Italy
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 893378c... | Beyfin (Gli Alzi) | 42.743211 | 10.216785 | 57034 | 1385 Via della Costa, Gli Alzi, 57034... |
| 7760158... | Beyfin | 39.400545 | 9.034841 | 09122 | Strada Statale 131 Carlo Felice, 0912... |
| 924a124... | Beyfin | 42.438264 | 12.785848 | 02043 | SS79, 02043, Provincia di Rieti, Italy |
| ed5595a... | Beyfin (Lastra a Signa) | 43.714952 | 11.052934 | 50055 | Via Chiantigiana, Lastra a Signa, 500... |
| 86c177c... | Beyfin (Cavo) | 42.858945 | 10.422574 | 57038 | Lungomare Michelangelo, Cavo, 57038, ... |
Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all fields and verify the data structure.
Why download from Geolocet?
- Instant download - full dataset available immediately after purchase, no waiting, no manual fulfilment
- Free sample first - verify structure, fields, and coordinate precision before you commit
- Analysis-ready CSV - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
- Regularly updated - last updated 7 July 2026
✅ Data looks right? Add to cart ↑ - or download the free sample first.
Regional Distribution Breakdown
Looking at the geographic distribution, the highest concentration of Beyfin locations in Italy is found in Toscana (51 sites, equivalent to 1.4 Beyfin petrol stations per 100,000 residents). This is followed by Veneto (19 sites; 0.39 per 100,000) and Emilia-Romagna (13 sites; 0.29 per 100,000). From a market-penetration perspective, Toscana has the highest brand density at 1.4 locations per 100,000 people (population: 3,655,000), making it the most saturated region for Beyfin in Italy. By contrast, Lazio records only 0.04 locations per 100,000 residents (population: 5,705,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Learn more about the brand network in our report: View Report
Also available for Italy
Brand bundle
Top 17 Petrol Stations Brands in Italy - €400
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View Top Brands dataset →Full market coverage
All Petrol Stations Locations in Italy - complete POI dataset
Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.
View full POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Italy: Map these Beyfin locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Italy: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Beyfin locations.
- Explore demographics data insights for Italy: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Italy (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
- Explore a rich library of Italy-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for Italy
Need the data in another format?
We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at contact@geolocet.com.
Who uses this data?
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
Frequently Asked Questions
Q: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
Q: Can I integrate this dataset into a PostgreSQL/PostGIS database?
A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known Beyfin locations operating in Italy as of 7 July 2026.
Q: Can I preview the dataset before purchasing?
A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.
Q: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
Q: Can I use this dataset for competitor benchmarking?
A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Beyfin dataset to identify underserved regions in Italy for potential market expansion.""Identify isolated Beyfin sites in Italy that may face operational inefficiencies due to low regional clustering.""Identify municipalities in Italy with strong demographic potential but no nearby Beyfin presence."
Disclaimer: All brand logos and trademarks displayed are the property of their respective owners and are used strictly for identification purposes. This product consists of geospatial location data only; no images, logos, or trademark rights are included in the downloadable files.