Bosch Tools Retailer
U.S. · 18,653 locations
Bosch Power Tools is a global leader in professional and consumer power tools, measuring tools, and accessories. Their US retail presence spans nearly 10,000 locations from national chains to independent tool dealers.
More about this list
This dataset is valuable for power tool industry market analysis, retail distribution studies, competitive intelligence against DeWalt and Makita, and territory planning for tool manufacturer sales teams. Records include retailer name, address, phone, and GPS coordinates from Bosch's official retailer locator. Updated weekly.
The file has all 18,653 locations across 52 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 | website | retailer | dealer id | phone2 | hours | src seller id | src store id | src attributes | src stock updatable | src account seller | program ASC | program BSS | program FSC | geo precision | county | county fips | county note | address quality | zip4 | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ace Hardware | 9001 Jewel Lake Rd Suite 5 | Anchorage | AK | 99502 | (907) 248-9211 | http://www.acehardware.com | 8a-8p,8a-8p,8a-8p,8a-8p,8a-8p,8a-8p,10a-6p | source | Anchorage Municipality | 02020 | complete | US | 61.13882 | -149.9512 | |||||||||||||
| Fastenal | 99-1312 Koaha Place | Aiea | HI | 96701 | (808) 484-1148 | source | Honolulu County | 15003 | complete | US | 21.37165 | -157.90357 | |||||||||||||||
| Hammond Lumber | 282 Poland Road | Auburn | ME | 04210 | source | Androscoggin County | 23001 | complete | US | 44.02408 | -70.27672 | ||||||||||||||||
| The Home Depot | 421 Absecon Blvd | Absecon | NJ | 08201 | (609) 484-3511 | http://www.homedepot.com | 6a-10p,6a-10p,6a-10p,6a-10p,6a-10p,6a-10p,7a-8p | source | Atlantic County | 34001 | complete | US | 39.41622 | -74.49379 | |||||||||||||
| Tractor Supply Co. aberdeen | 2201 southeast 6th ave ste 22 | Aberdeen | SD | 57401 | (605) 225-5888 | https://www.tractorsupply.com/tsc/store_Aberdeen-SD-57401_585 | 8a-9p,8a-9p,8a-9p,8a-9p,8a-9p,8a-9p,9a-7p | source | Brown County | 46013 | complete | US | 45.45981 | -98.45714 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Business or dealer name | 100% |
| retailer | Retailer | 100% |
| dealer | Dealer id | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code | 100% |
| country | Country code (US) | 100% |
| phone | Phone number | 97% |
| website | Dealer website URL | 60% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| hours | Hours | 60% |
| src_ | Src seller id | 100% |
| src_ | Src store id | 100% |
| src_ | Src attributes | 44% |
| src_ | Src stock updatable | 100% |
| src_ | Src account seller | 100% |
| program_ | Program BSS | 1% |
| 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% |
| county_ | How the county was found, where it was not given by the source | 29% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
| zip4 | Zip4 | 21% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Bosch Tools's own public retailer locator, the system behind the “find a retailer” page on their website.
October 12, 2026
File built · Rebuilt weekly on an automatic schedule.
28 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 Bosch Tools Retailer Locations and give it this page: it can open https://locationlists.com/find?dataset=bosch-tools-dealers 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 California, the state with the most: https://locationlists.com/find?dataset=bosch-tools-dealers&state=CA
- Within 25 miles of Miami, FL, the busiest area: https://locationlists.com/find?dataset=bosch-tools-dealers&near=Miami+FL&radius=25
- Within a 30-minute drive of Miami, FL: https://locationlists.com/find?dataset=bosch-tools-dealers&near=Miami+FL&drive=30
- Every Power Tools (Pro Trade) list combined, within 25 miles of Gladeview, FL: https://locationlists.com/find?category=power-tools-pro&near=Gladeview+FL&radius=25
- Each one's nearest RIDGID Tool Dealers, in California, with miles: https://locationlists.com/find?dataset=bosch-tools-dealers&state=CA&relate=nearest&k=1&b.dataset=ridgid-dealers&b.state=CA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=bosch-tools-dealers - In plain words: "Bosch Tools Retailer Locations in California": https://locationlists.com/find?q=Bosch+Tools+Retailer+Locations+in+California
- In plain words: "Bosch Tools Retailer Locations within 25 miles of Miami, FL": https://locationlists.com/find?q=Bosch+Tools+Retailer+Locations+within+25+miles+of+Miami%2C+FL
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 Bosch Tools Retailer Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
Every step below has a no-connector equivalent: https://locationlists.com/find?dataset=bosch-tools-dealers with the same filters as query parameters.
- Connect your agent to
https://locationlists.com/mcp(no key, no signup). - Call
count_locationswithdataset: "bosch-tools-dealers"and any filter — it is free, and returns how many rows match and what they cost. - Fetch the rows with
query_locations: $0.80 per 100 rows from this dataset. Above 9,327 rows, buying the whole file is cheaper.
Paid in USDC over x402 — the agent gets an HTTP 402 with the exact price, signs, and retries. Money moves only after rows are delivered, so a failed or empty query costs nothing. Setup for Claude, Cursor and VS Code
?Frequently Asked Questions
What data fields are in the Bosch Tools retailer CSV?
Each row includes retailer name, street address, city, state, ZIP code, phone number, GPS latitude/longitude, website URL, and country code. Standard CSV file for import into any system.
How often is the Bosch retailer data updated?
File built on October 12, 2026. Rebuilt weekly on an automatic schedule. The date on this page is the date of the file you would download.
We manufacture drill bits and saw blades compatible with Bosch tools. Can this data help us find retailers to stock our products?
Bosch's 9,935 retail locations represent a massive channel of stores already selling power tools to your target customer. The full retailer list with contact details is ready for CRM import. Focus your outreach on independent tool dealers in the dataset — they have more flexibility in choosing accessory brands compared to big-box chains. For regional prioritization, we can help you identify which metros have the densest Bosch retail presence relative to your existing distribution.
How does Bosch's retail distribution stack up against DeWalt and Milwaukee Tool?
Bosch has 9,935 retail locations, while DeWalt has 46,973 — reflecting DeWalt's broader retail strategy. Milwaukee Tool's retail distribution is also extensive through home improvement chains. We can build a three-brand competitive analysis showing retailer overlap, exclusive distribution points, and geographic density for each brand. That intelligence helps tool accessory manufacturers and competing brands understand which retail channels are most accessible and which are locked up by a single brand.
We're redesigning our field rep territories to cover Bosch retail accounts more efficiently. What do you recommend?
Start with the 9,935 location dataset to understand the geographic distribution of your accounts. Our territory optimization consulting takes your rep headcount, the retailer locations, and travel constraints to produce balanced territories — each rep gets equitable account count, revenue potential, and manageable drive times. For tool manufacturers, we typically recommend territory designs that align with metro areas rather than state boundaries since retail density correlates with urban population.