Lucy Nicotine Retailers
United States · 13,996 locations

13,996 stores that carry Lucy Nicotine (13,996 in the US): every store on Lucy Nicotine's own store locator on lucy.co. Name, address, phone, website and the locator's own store details.

13,996Locations
52States
44Data Fields
October 16, 2026File built

The file has all 13,996 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

Map of where the Lucy Nicotine Retailers are
One dot for every ZIP code with at least one location. Ask above for any part of it: a state, a city, a distance.

≡Sample Data Preview

lucy-nicotine-retailers.csvscroll →UTF-8
store nameaddresscitystatezipphonewebsitebrandstore idphone sourcewebsite sourcestore typestatusdirections urlbrand locator store idbrand locator urlcountry as publishedupdated datestockist filtersstockist filter idssrc priorityis chainchain namechain store countoverture place idoverture nameoverture categoryoverture brandoverture match metersnaics codenaics titlesic codesic titleindustry sourcegeo precisioncountycounty fipscounty noteaddress qualityzip4countrylatitudelongitudesource
CANNABIS COVE7198 N TONGASS HWYKetchikanAK99901(907) 225-7575http://thecannabiscove.com/Lucy Nicotineu17599-loc_n9ygvp85Brand store locatorOverture Maps placeListedhttps://www.google.com/maps/dir/?api=1&destination=55.41059078,-131.72282158loc_n9ygvp85https://lucy.co/pages/store-locatorUNITED STATES2026-10-160N1149123f-2304-4433-8ae8-bf1641341ab0Cannabis Covecannabis_clinic25sourceKetchikan Gateway Borough02130ZIP 99901 spans 2 counties; assigned to the county holding 86% of its land areacompleteUS55.41059078-131.72282158Lucy Nicotine store locator
SUNSTOP401 COLQUITT HWYBainbridgeGA39817(229) 246-1536https://sunstopstores.com/Lucy Nicotineu17599-loc_vm7295zmOverture Maps placeOverture Maps placeSun StopListedhttps://www.google.com/maps/dir/?api=1&destination=30.930149,-84.605788loc_vm7295zmhttps://lucy.co/pages/store-locator2026-10-16Sun Stopflt_z3wm8ym30YSUNSTOP92c1fe05f3-7c27-4fbb-bf73-3125c51b49b6SunStop Storeconvenience_storeSunStop Stores21445131Convenience Retailers5411Grocery StoresOverture category of the matched placesourceDecatur County13087completeUS30.930149-84.605788Lucy Nicotine store locator
SHEETZ5 N 3RD STOaklandMD21550(301) 334-3306https://www.sheetz.com/Lucy Nicotineu17599-loc_pqwzmrxkBrand store locatorOverture Maps placeSheetzListedhttps://www.google.com/maps/dir/?api=1&destination=39.41046,-79.404692loc_pqwzmrxkhttps://lucy.co/pages/store-locator2026-10-16Sheetzflt_9p5jv5n30YSHEETZ2148dc054521-5535-4546-aca0-5b16fec332a8Sheetzconvenience_storeSheetz34445131Convenience Retailers5411Grocery StoresOverture category of the matched placesourceGarrett County24023completeUS39.41046-79.404692Lucy Nicotine store locator
WAWA245 S BROADWAYPennsvilleNJ08070(856) 268-0050Lucy Nicotineu17599-loc_pqwzmwqkBrand store locatorWawaListedhttps://www.google.com/maps/dir/?api=1&destination=39.64167016,-75.5171748loc_pqwzmwqkhttps://lucy.co/pages/store-locator2026-10-16Wawaflt_7pkj6k430YWAWA1539sourceSalem County34033completeUS39.64167016-75.5171748Lucy Nicotine store locator
HOT SPOT831 MAIN ST.New EllentonSC29809Lucy Nicotineu17599-loc_95g7eykyHot SpotListedhttps://www.google.com/maps/dir/?api=1&destination=33.43152011,-81.68608445loc_95g7eykyhttps://lucy.co/pages/store-locatorUSA2026-10-16Hot Spotflt_gpy5r72p0YHOT SPOT42sourceAiken County45003completeUS33.43152011-81.68608445Lucy Nicotine store locator
Five sample rows; the file you buy has all 44 columns.

{}What's in each row

FieldWhat it isRows filled
brandThe brand whose store locator lists the store100%
storeIdStore id (unique per place in this file)100%
storeNameStore name as the brand's locator lists it100%
addressStreet address100%
cityCity100%
stateState or province code (US always; outside the US where the locator gives one)100%
zipZIP or postal code100%
countryTwo-letter country code100%
latitudeLatitude100%
longitudeLongitude100%
phoneStore phone78%
phoneSourceWhere the phone came from: the brand's store locator, or the matched Overture place78%
websiteStore website62%
websiteSourceWhere the website came from: the brand's store locator, or the matched Overture place62%
storeTypeThe brand's own tags for the store on its locator (product lines, store types, retailer)53%
statusListed100%
directionsUrlGoogle Maps directions link100%
brandLocatorStoreIdThe store's id on the brand's locator100%
brandLocatorUrlThe brand's store locator page100%
countryAsPublishedThe country as the locator wrote it, where it differs from the code51%
sourceSource of the row100%
updatedDateDate the brand's locator was read100%
stockistFiltersThe locator's filter tags on this store53%
stockistFilterIdsIds of those filter tags53%
src_priorityAnother field the brand's locator publishes for the store: priority100%
isChainY when 5 or more stores in these brand lists carry the same store name100%
chainNameChain name74%
chainStoreCountStores with that chain name across these brand lists74%
overturePlaceIdOverture Maps place id of the matched place (join key to Overture data)69%
overtureNameName of the matched Overture place69%
overtureCategoryOverture category of the matched place68%
overtureBrandBrand of the matched Overture place39%
overtureMatchMetersDistance between the store and the matched Overture place, in metres69%
naicsCodeNAICS 2022 code63%
naicsTitleNAICS title63%
sicCodeSIC code63%
sicTitleSIC title63%
industrySourceWhere the industry code came from63%
geo_precisionHow the map point was set100%
countyUS county (from the store's coordinates)100%
county_fipsUS county FIPS code100%
county_noteSet when the ZIP spans counties29%
address_qualitycomplete, no house number, po box, missing city or zip or missing100%

Rows filled is measured on every row of the delivered file.

✓Where this data comes from

Each row names the public source it came from, so any record can be checked against where it was published.

October 16, 2026

Snapshot built

44 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 Lucy Nicotine Retailers and give it this page: it can open https://locationlists.com/find?dataset=lucy-nicotine-retailers 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:

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 Lucy Nicotine Retailers 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=lucy-nicotine-retailers with the same filters as query parameters.

  1. Connect your agent to https://locationlists.com/mcp (no key, no signup).
  2. Call count_locations with dataset: "lucy-nicotine-retailers" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $0.71 per 100 rows from this dataset. Above 6,998 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

Where does this data come from?

From Lucy Nicotine's own store locator on lucy.co. We read every store on its map on 2026-10-16. A store the map shows twice (same name and address) is one row.

What is one row?

One store on the brand's locator, with the brand's own tags for it (storeType) and any custom fields the locator shows.

Does it include stores outside the US?

No. Every store in this list is in the US.

Where do websites and phones come from?

From the brand's locator where it gives them. Otherwise from the Overture Maps place at the same spot with the same name. phoneSource and websiteSource say which.

How complete are phones and websites?

10,939 of the 13,996 stores have a phone, and 8,702 of the 13,996 have a website.

↔Other nicotine, vape & cannabis lists