lululemon Locations
380 US lululemon locations, with address, phone, website and map coordinates.
Buy the whole list — 380 rows · $2.28
Or ask for the part you need: an area, a distance, a condition. Counts and previews are free, and each answer shows its exact price.
Sample data
| name | address | city | state | zip | phone | website | overture id | brand | brand id | wikidata | category | category path | basic category | social | operating status | confidence | source dataset | source record id | source ids | source updated | data license | location type | location type confidence | location type basis | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Lululemon | 6415 Labeaux Avenue NE, Unit B270, Albertville, MN, US, 55301 | Albertville | MN | 55301 | (763) 373-5161 | https://shop.lululemon.com/stores/us/albertville/albertville | cf351859-b380-4ada-a064-a7d736ff02b2 | lululemon | Q6702957 | womens_clothing_store | |shopping|fashion_and_apparel_store|clothing_store|womens_clothing_store| | fashion_and_apparel_store | https://www.facebook.com/112157114434613 | open | 0.997 | meta | 112157114434613 | meta:112157114434613|Overture-signals:aab28da5-bcbc-4ddb-aef1-83e41a9d2216 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.98 | website: "shop" (store); website: "stores" (store); category: "store" (store); brand: lululemon | 45.246536 | -93.670723 | ||
| Lululemon | 2502 E Camelback Rd | Phoenix | AZ | 85016-4225 | (602) 932-2684 | https://shop.lululemon.com/stores/us/phoenix/biltmore | b47dcda9-e31e-4f94-8cb8-50ea1a8b2dd5 | lululemon | Q6702957 | womens_clothing_store | |shopping|fashion_and_apparel_store|clothing_store|womens_clothing_store| | fashion_and_apparel_store | biltmore-store@lululemon.com | https://www.facebook.com/110060937947180 | open | 1.0 | meta | 110060937947180 | meta:110060937947180|Overture-signals:23e383e1-8035-4aba-a44e-f2779082de6a | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.98 | website: "shop" (store); website: "stores" (store); category: "store" (store); brand: lululemon | 33.510345 | -112.027931 | |
| Lululemon | 2601 Hempstead Turnpike | Elmont | NY | https://shop.lululemon.com/stores/us/elmont/belmont-park-village-outlet | 5f25bf68-8f62-46d1-8165-fc933991fbf6 | Lululemon | Q6702957 | Q6702957 | clothing_store | |shopping|fashion_and_apparel_store|clothing_store| | fashion_and_apparel_store | belmont-outlet@lululemon.com | https://www.facebook.com/lululemon | open | 0.8 | AllThePlaces | KbNpeFntMB87IQ6COD1b70micZI= | AllThePlaces:KbNpeFntMB87IQ6COD1b70micZI=|Overture-signals:96a80279-5743-48d2-b72c-49f5dab5ac65 | 2026-08-05 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.98 | website: "shop" (store); website: "stores" (store); website: "outlet" (store); category: "store" (store); brand: Lululemon | 40.707418 | -73.725857 |
What's in each row
| Field | What it is |
|---|---|
| overture_ | Map data id for the place, stable across monthly releases |
| name | Business name |
| brand | Brand or chain name, when the place belongs to one |
| brand_ | Our id for that brand (its Wikidata id where one exists) |
| wikidata | Wikidata id of the brand |
| category | Kind of place, from the map data |
| category_ | The category with every broader category above it |
| basic_ | A broader, simpler category |
| address | Street address |
| city | City |
| state | State (two-letter code) |
| zip | ZIP code |
| phone | Phone number |
| website | Website |
| Email address | |
| social | Social media page |
| latitude | Latitude |
| longitude | Longitude |
| operating_ | Whether the place is open, where the source says; closed places are left out of the list |
| confidence | How sure the map data is that the place exists (0 to 1) |
| source_ | Which source contributed the record |
| source_ | The record's id in that source |
| source_ | Every source record merged into this row |
| source_ | When the source last updated the record |
| data_ | The license the row is published under |
| location_ | Kind of premises: store, office, branch, warehouse and so on, read from the name, website and category |
| location_ | How sure the location type is (0 to 1) |
| location_ | What the location type was read from |
Source & license
Open map data from the Overture Maps Foundation, release of August 2026, refreshed monthly. Closed and low-confidence places are removed and duplicates within 50 meters merged. Contains data from Overture Maps Foundation (https://overturemaps.org), Places theme, licensed CDLA-Permissive-2.0 (https://cdla.dev/permissive-2-0/); some sources are Apache-2.0. See https://docs.overturemaps.org/attribution/.
Using ChatGPT, Claude or an API?
Ask this list a question with a link
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.
Open one of these to see how many places match, a few preview rows and the price for just those rows:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=lululemon-locations
Ask in ChatGPT or Claude
Copy this and paste it in:
Every answer shows its exact price before you pay, by card, no account; the whole list is $2.28. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug lululemon-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=lululemon-locations. Works in every MCP tool and the x402 query API like any other dataset (count_locations, get_sample, query_locations, relate_locations, count_by_area, cotenancy).