Boni-Soir Supermarket Locations Dataset – Canada
Boni-Soir Supermarket Locations Dataset – Canada
Boni-Soir is a prominent chain of convenience stores operating primarily in Quebec as part of the Alimentation Couche-Tard network. It focuses on providing essential grocery items and proximity services to local neighborhoods.
There are 246 Boni-Soir Supermarkets as of 5 August 2026 in Canada. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Boni-Soir 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: 246 Boni-Soir supermarkets in Canada
- Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
- 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: 5 August 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
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)97%
- Web Address98%
- Opening Hours97%
- Popularity Score100%
Data Preview: Sample geospatial records from the Boni-Soir dataset in Canada
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| bb2646a... | Boni-Soir (Saint-Jérôme) | 45.809627 | -74.013380 | J7Y 1R2 | 49 Boulevard des Hauteurs, Saint-Jérô... |
| 15be1a9... | Boni-Soir (La Prairie) | 45.414893 | -73.484640 | J5R 4S7 | 705 Chemin de Saint-Jean, La Prairie,... |
| 2c17dca... | Boni-Soir (Saint-Lin-Laurentides) | 45.825158 | -73.806330 | J5M 2B2 | 1680 Rue Thouin, Saint-Lin-Laurentide... |
| 91716f2... | Boni-Soir (Beauharnois) | 45.305597 | -73.879910 | J6N 2J5 | 312 Chemin Saint-Louis, Beauharnois, ... |
| 41e252d... | Boni-Soir (New Richmond) | 48.164148 | -65.863520 | G0C 2B0 | 164 Boulevard Perron Ouest, New Richm... |
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 5 August 2026
✅ Data looks right? Add to cart ↑ - or download the free sample first.
Learn more about the brand network in our report: View Report
Also available for Canada
Brand bundle
Top 17 Grocery Brands in Canada - €480
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 Grocery Locations in Canada - 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 →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.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
Frequently Asked Questions
Q: Are the datasets suitable for machine learning workflows?
A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Q: Does the dataset contain duplicate locations?
A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: What file format is included with the download?
A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.
Q: How recent is this dataset?
A: This dataset was last updated on 5 August 2026 and is periodically refreshed through automated collection and validation workflows.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Boni-Soir dataset to identify underserved regions in Canada for potential market expansion.""Identify locations where multiple Boni-Soir sites compete within overlapping catchment areas in Canada.""Identify the most central Boni-Soir locations in Canada to serve as hubs for a last-mile delivery network."
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.