This dataset covers 75 verified records spread across
11+ cities in South Carolina.
75 records carry a verified phone number and
29 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density cities are
Dorchester (11 listings), Mauldin (2 listings), Greenville (2 listings), Fort Mill (2 listings), Cheraw (1 listings), Rock Hill (1 listings), Travelers Rst (1 listings), and Fairfield (1 listings).
Additional coverage spans
West Columbia (1),
Greenwood (1),
Hilton Head Island (1)
.
Coverage in South Carolina — by citie
Total rows:75With mobile:75With website:29
Cities
Total
With mobile
With website
Other (unspecified)
51
51
29
Dorchester
11
11
0
Mauldin
2
2
0
Greenville
2
2
0
Fort Mill
2
2
0
Cheraw
1
1
0
Rock Hill
1
1
0
Travelers Rst
1
1
0
Fairfield
1
1
0
West Columbia
1
1
0
All cities (12)
75
75
29
Coverage in South Carolina — all 12 cities
Cities
Total
With mobile
With website
Other (unspecified)
51
51
29
Dorchester
11
11
0
Mauldin
2
2
0
Greenville
2
2
0
Fort Mill
2
2
0
Cheraw
1
1
0
Rock Hill
1
1
0
Travelers Rst
1
1
0
Fairfield
1
1
0
West Columbia
1
1
0
Greenwood
1
1
0
Hilton Head Island
1
1
0
All cities (12)
75
75
29
Related coverage — same industry
Drill up for wider coverage
Auto Parts Stores Locations Database — United States
The Auto Parts stores database includes 75+ verified Auto Parts stores in South Carolina, United States with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Shany (AU) bought 1 day ago
·Ransom (US) bought 1 day ago
·Camila (US) bought 2 days ago
·Marcus (US) bought 2 days ago
·Jake (US) bought 2 days ago
What's in the Auto Parts dataset?
Auto Parts store name
Street address
City
State / Region
Postal code
Country
Phone number
Website URL
Opening hours
Latitude
Longitude
Google rating
Google review count
Category / Industry
How to use this data
Local marketing — geo-target ads and outreach against every Auto Parts catchment in South Carolina, United States.
Competitor research — benchmark your stores network footprint against Auto Parts density by state and city.
Store-network planning — pick expansion zip codes and franchise territories using the Auto Parts stores map.
Frequently asked about this dataset
How many Auto Parts stores are in South Carolina, United States?
There are roughly 75+ Auto Parts stores in South Carolina, United States as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Where can I download a database of all Auto Parts stores in South Carolina, United States?
The complete Auto Parts stores database for South Carolina, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Auto Parts location with address, phone, hours, website and GPS coordinates.
What fields are included in the Auto Parts stores dataset?
Every record in the Auto Parts stores dataset includes: Auto Parts store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
How accurate is the Auto Parts stores location data?
Every Auto Parts location is cross-referenced across the Auto Parts store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Auto Parts footprint in South Carolina, United States.
Is the Auto Parts stores data updated?
Yes. The Auto Parts stores dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Can I use the Auto Parts stores data for marketing and sales outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Auto Parts catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
What format do I receive the Auto Parts stores database in?
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
How soon after purchase can I download the Auto Parts stores CSV?
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Auto Parts stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Auto Parts Stores Database in South Carolina, United States
Data2Sales AI's World Wide Data database for South Carolina, United States consolidates 75+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
What's included in the CSV
The Extended tier delivers 22 columns per record: company name, phone, phone secondary, email, email secondary,
website, category, street address, city, state, postal code, country, latitude, longitude, Google rating, review count,
WhatsApp, Facebook, Instagram, LinkedIn, YouTube, and X (Twitter). The file is UTF-8 encoded and opens cleanly in
Excel, Google Sheets, and any standard CRM importer.
Buyers on the Data2Sales AI platform get a tighter loop: the built-in
LeadGenius CRM
module imports this CSV in one click, auto-maps every column to a lead record,
de-duplicates against your existing pipeline, and triggers
WhatsApp / voice and
email
sequences — reply, open, and conversion rates tracked end-to-end inside the
Data2Sales AI suite.
Who uses Auto Parts Stores data in South Carolina, United States?
Performance-marketing agencies running geo-targeted Meta and Google campaigns against World Wide Data catchments
PR and outreach teams pitching world wide data brands in South Carolina, United States for media features and partnerships
B2B SaaS sales teams selling POS, payments, or inventory tools to world wide data operators
Local-SEO consultants building citation and review-management programs for the World Wide Data vertical
How is the data collected and kept current?
The world wide data dataset for South Carolina, United States is rebuilt on a rolling 30-day cycle. Closed storefronts surface from negative Google signals (phone disconnected, 'permanently closed' markers, missing review velocity); new openings come in through registrar filings and franchise expansion announcements. Each entry carries a last-verified timestamp so your CRM dedupe rules can keep only the freshest record per address.
Frequently asked questions
How accurate are the phone numbers and addresses?
Every phone number is dialled by an automated verifier before export; entries that ring busy, disconnected, or go to a generic IVR are flagged or dropped. Addresses are cross-referenced against Google Places and OpenStreetMap so PO-box-only and ghost listings are filtered out.
Do I get free re-downloads if the data updates?
Yes — your purchase covers the World Wide Data dataset for 30 days. Within that window, if a monthly refresh ships, you can re-download the new version at no charge from your account.
Which CRMs can ingest this CSV directly?
LeadGenius CRM, HubSpot, Salesforce, Pipedrive, Zoho, Close, Freshsales — anything that accepts a standard UTF-8 CSV import. Column names mirror industry CRM schemas so most fields auto-map without manual configuration.
Can the data be delivered via API or to S3 instead of CSV?
Yes, for enterprise buyers. Contact support after purchase and we can set up an SFTP drop, an S3 bucket sync, or a paginated REST endpoint scoped to your dataset.