Fastenal
U.S. · 760 locations
Fastenal Company is a leading industrial distribution company specializing in fasteners, safety supplies, and industrial tools, operating 758 branch locations across the United States.
More about this list
This dataset serves industrial distribution market researchers, competitive analysts studying the Grainger vs Fastenal landscape, and supply chain professionals evaluating MRO distribution coverage. Each record includes branch name, address, phone, and coordinates.
The file has all 760 locations across 50 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | place id | geo precision | county | county fips | address quality | county note | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fasteners & Fire Equipment Co | 123 E International Airport Rd | Anchorage | AK | 99518 | (907) 562-2777 | ChIJU6Y2PpGXyFYRA8KZrl26W78 | source | Anchorage Municipality | 02020 | complete | US | 61.173847800000004 | -149.8816673 | |
| Fastenal Fulfillment Center | 15 Kukila St Unit #1 | Hilo | HI | 96720 | (808) 961-3591 | ChIJYexUvW1LUnkRY6v5xZ2sSqc | source | Hawaii County | 15001 | complete | US | 19.7027206 | -155.0620117 | |
| Fastenal Fulfillment Center | 385 Rodman Rd Suite 6 | Auburn | ME | 04210 | (207) 777-5243 | ChIJRV-8OJtpskwRDJo-iwJHREI | source | Androscoggin County | 23001 | complete | US | 44.0794948 | -70.2601443 | |
| Fastenal Fulfillment Center | 645 S Mill Rd #1 | Absecon | NJ | 08201 | (609) 241-0096 | ChIJ4c-WLrnowIkR3x8L4zE_YBg | source | Atlantic County | 34001 | complete | US | 39.424074399999995 | -74.52394439999999 | |
| Fastenal Fulfillment Center | 6 N Dakota St #100 | Aberdeen | SD | 57401 | (605) 226-8238 | ChIJK36IH-5E0lIRKy_uKPd0jtE | source | Brown County | 46013 | complete | US | 45.465194 | -98.47430759999999 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| place | Place id | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code | 99% |
| country | Country code (US) | 100% |
| phone | Store phone number | 94% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| county | County the location is in | 100% |
| county_ | Five-digit federal code of that county | 100% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
| county_ | How the county was found, where it was not given by the source | 30% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Fastenal's own public store locator, the system behind the “find a store” page on their website.
September 20, 2026
File built
15 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the Fastenal Locations and give it this page: it can open https://locationlists.com/find?dataset=fastenal-stores with the filters you need and show you the count and price.
Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.
How assistants ask
No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.
If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.
Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>
Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Only Texas, the state with the most: https://locationlists.com/find?dataset=fastenal-stores&state=TX
- Within 25 miles of Minneapolis, MN, the busiest area: https://locationlists.com/find?dataset=fastenal-stores&near=Minneapolis+MN&radius=25
- Within a 30-minute drive of Minneapolis, MN: https://locationlists.com/find?dataset=fastenal-stores&near=Minneapolis+MN&drive=30
- Every Industrial Supply & Rental list combined, within 25 miles of Pleasantdale, NJ: https://locationlists.com/find?category=industrial-supply-rental&near=Pleasantdale+NJ&radius=25
- Each one's nearest POOLCORP Sales Centers, in Texas, with miles: https://locationlists.com/find?dataset=fastenal-stores&state=TX&relate=nearest&k=1&b.dataset=poolcorp-sales-centers&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=fastenal-stores - In plain words: "Fastenal Locations in Texas": https://locationlists.com/find?q=Fastenal+Locations+in+Texas
- In plain words: "Fastenal Locations within 25 miles of Minneapolis, MN": https://locationlists.com/find?q=Fastenal+Locations+within+25+miles+of+Minneapolis%2C+MN
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Fastenal Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 760 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=fastenal-stores. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works
?Frequently Asked Questions
What's in the Fastenal branch locations CSV?
Branch name, street address, city, state, ZIP code, phone number, GPS coordinates, branch page URL, and country code. Standard CSV, ready for CRM import or GIS mapping.
How often is the Fastenal data refreshed?
File built on September 20, 2026. It is not on an automatic refresh schedule, so check the build date above before you buy.
We manufacture industrial fasteners and want to sell through Fastenal. How does their branch network look geographically?
Fastenal's 760 branches are distributed across industrial, manufacturing, and construction corridors throughout the US — from major metros to smaller industrial towns. That broad distribution is what makes them attractive as a channel partner for fastener manufacturers. The geographic data helps you demonstrate to Fastenal's purchasing team that your production facilities can efficiently supply their branch network. We can map your manufacturing locations against their branches to quantify logistics efficiency.
We're evaluating Fastenal versus Grainger for our MRO supply chain. How do their footprints differ?
Fastenal (760 branches) has more than double Grainger's physical locations (302), but they tend to be smaller and closer to job sites. We can produce a head-to-head analysis showing branch density by industrial corridor, average distance-to-branch from manufacturing ZIP codes, and overlap metrics. That comparison directly answers which distributor provides better physical access for your specific plant locations.
We're a safety supply company targeting manufacturing plants. Can Fastenal branch locations help us find concentrated industrial areas?
Fastenal's branch placement is a strong proxy for industrial activity — they locate where manufacturers and construction companies cluster. Use the 759 branch coordinates to identify industrial corridors, then target the surrounding businesses with your safety supply products. Our team can enhance this by overlaying Fastenal locations with OSHA reporting data and manufacturing employment statistics to score each market's safety supply demand potential.