ALDO Shoes Locations
There are 259 US ALDO Shoes locations as of October 2026.
Each has an address, phone, website and map coordinates.
Buy the whole list — 259 rows · $1.66
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ALDO | 1500 New Britain Ave C123 | Farmington | CT | 06110 | (860) 521-1692 | https://www.aldoshoes.com/us/en_US | 95a0cdd1-9799-4388-a3f1-6113cd285a91 | ALDO Shoes | Naldoshoes | shoe_store | |shopping|fashion_and_apparel_store|shoe_store| | fashion_and_apparel_store | https://www.facebook.com/338911692825549 | open | 1.0 | meta | 338911692825549 | meta:338911692825549|Overture-signals:1383e8d5-1fcf-4172-8343-ca0d11ca059a | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.79 | category: "store" (store); brand: ALDO Shoes | 41.722721 | -72.763592 | ||
| Aldo Outlet | 1600 Premium Outlets Blvd Unit 820 | Norfolk | VA | 23502 | (757) 512-8462 | https://www.aldoshoes.com/us/en_US | e9423a8e-99db-4588-89fd-7981ed2c1456 | ALDO Shoes | Naldoshoes | shoe_store | |shopping|fashion_and_apparel_store|shoe_store| | fashion_and_apparel_store | open | 0.966 | Microsoft | 1125899909137166 | Microsoft:1125899909137166|Overture-signals:99735271-de38-416c-8b8a-e722d5049907 | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.95 | name: "outlet" (store); category: "store" (store); brand: ALDO Shoes | 36.881269 | -76.20063 | |||
| Aldo | 112 Eisenhower Pkwy 1015A | Livingston | NJ | 07039 | (973) 992-1826 | https://www.aldoshoes.com/us/en_US | 3571af22-4a62-4d53-ba6b-829d62bccaa0 | ALDO Shoes | Naldoshoes | shoe_store | |shopping|fashion_and_apparel_store|shoe_store| | fashion_and_apparel_store | open | 0.92 | Microsoft | 1125899909048799 | Microsoft:1125899909048799|Overture-signals:935ca14a-7adc-4e32-927c-33a0015e48bf | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.79 | category: "store" (store); brand: ALDO Shoes | 40.777164 | -74.353985 |
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 October 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/.
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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, 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>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Distance is radius, in straight-line miles; 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=aldo-shoes-locations
Ask in ChatGPT or Claude
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Every answer shows its exact price before you pay, by card, no account; the whole list is $1.66. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug aldo-shoes-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=aldo-shoes-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).