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A client needing complete business-location data — name, address, email, phone, website, and description — for every USA and Canada entry on a Maps-based store locator, delivered into a spreadsheet.

Service
Location Data Extraction • Store Locator
Region
United States & Canada
Output
Excel / Google Sheets
US + CA
Full Locator Coverage
6
Fields per Location
Grid-Based
Complete Traversal
Deduplicated
Clean, One-Row-Per-Location

Client Overview

The client needed a complete, structured dataset of business locations listed on a Maps-based store locator, covering the entire United States and Canada. For each location they required six text fields — Business Name, Address, Email, Phone, Website, and Business Description — organised into a spreadsheet (Excel or Google Sheets), with each field in its own cell.

The core requirement was completeness and cleanliness: every location across both countries captured once, with consistent, ready-to-use fields — not a partial or duplicate-ridden export.

The Challenge

  • Full two-country coverage. Map locators typically return only the nearest results to a searched location, so capturing every USA and Canada entry required a systematic strategy rather than a handful of searches.
  • Map-based, search-driven interface. Locations surface only in response to location queries on the map, demanding a geographic traversal that leaves no region unsearched.
  • Field completeness varies. Not every location lists an email, website, or description — inconsistent availability had to be handled cleanly without breaking the schema.
  • Duplicate results. Overlapping search radii return the same location multiple times, so reliable deduplication was essential for a true one-row-per-location dataset.
  • Clean, cell-ready fields. Each field had to sit in its own cell, correctly separated and free of stray markup, ready for immediate use.
  • Email capture. Emails, where present, had to be captured accurately for the client's downstream use.

The Solution by Actowiz Solutions

Actowiz built a geographic-grid traversal that systematically exercised the locator across all of the USA and Canada, then extracted, cleaned, and deduplicated every location into a single spreadsheet.

Extraction Approach
  • Geographic-grid traversal. The locator was queried across a comprehensive grid of USA and Canada locations (city/zip and postal-code coverage) so every region was searched and no location was missed.
  • Locator data capture. For each returned pin, the six target fields were extracted from the location record and its detail view.
  • Deduplication engine. Records returned by overlapping searches were collapsed to one row per unique location using name + address (and other identifiers) as the key.
  • Cleaning & null handling. Fields were trimmed and normalised; unavailable email, website, or description values were left blank rather than guessed, keeping the schema consistent.
  • Spreadsheet delivery. Final data delivered as Excel or Google Sheets, one row per location, each field in its own column.
Fields Captured
Field Description
Business Name Location/business name as listed on the locator
Address Full address for the location
Email Contact email, where available
Phone Contact phone number, where available
Website Location or business website, where available
Business Description Description text associated with the location

Implementation Workflow

Step Phase Description
1 Scope & Grid Design Define the USA + Canada geographic grid (city/zip and postal-code coverage) to exercise the full locator.
2 Locator Traversal Query the locator across the grid, collecting all returned locations for both countries.
3 Field Extraction Capture the six target fields per location from list and detail views.
4 Dedup & Cleaning Collapse duplicates to one row per location; trim fields; apply consistent null handling.
5 QA & Validation Validate coverage, field cleanliness, and de-duplication before delivery.
6 Delivery Deliver the final Excel / Google Sheets dataset, one row per location.
Sample Output (Illustrative)
Business Name Address Phone Website
Sample Wellness Clinic 123 Main St, Austin, TX 78701 (512) 555-0142 samplewellness.com
Northside Health Co. 88 King St W, Toronto, ON M5X (416) 555-0199 northsidehealth.ca
Bay Area Nutrition 450 Market St, San Francisco, CA (415) 555-0170 bayareanutrition.com

Email and Business Description columns are also included per row (omitted here for width), with blanks where the locator did not list them.

Quality Assurance
Validation Check Rule Applied
Coverage completeness Grid traversal verified to cover all USA + Canada regions
Mandatory fields Business Name and Address always populated
Null handling Email, Website, Description left blank when unavailable — never guessed
Deduplication One row per unique location (name + address key)
Field separation Each field in its own cell, trimmed and clean
Country scope Only USA and Canada locations included

Results & Business Impact

  • Complete two-country dataset. Every USA and Canada location captured once — a full, structured view the client did not have before.
  • Immediately usable. One row per location with clean, separated fields dropped straight into the client's workflow — no reformatting.
  • Contact-ready. Name, address, phone, email, and website in one place supported outreach, mapping, and analysis.
  • No duplicates, no gaps. Grid traversal plus deduplication delivered coverage without inflated or repeated records.
  • Fast turnaround. Automated extraction replaced manual, location-by-location collection across two countries.

Why the Client Chose Actowiz Solutions

  • Complete coverage strategy. A geographic-grid approach engineered to capture every location, not just the nearest results.
  • Clean, cell-ready output. Fields correctly separated and normalised for immediate spreadsheet use.
  • Reliable deduplication. One accurate row per location across overlapping searches.
  • Flexible delivery. Excel or Google Sheets, matched to the client's preference.

Project at a Glance

Metric Value
Service Store-locator / business-location data extraction
Region United States & Canada
Source Maps-based store locator
Fields Business Name, Address, Email, Phone, Website, Business Description
Method Geographic-grid traversal + deduplication
Data State Clean, one-row-per-location, validated
Output Format Excel (.xlsx) / Google Sheets

Client Feedback

"We needed every location across the US and Canada, not just whatever a few searches returned. Actowiz handed us one clean sheet — no duplicates, every field in its own column — ready to use the moment we opened it."

— Operations Lead, Client Team

Need complete location data from a locator or map?

Actowiz Solutions extracts store-locator and map-based business data at scale into clean, deduplicated spreadsheets with rigorous QA. Visit actowizsolutions.com to discuss your data requirement.

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