Big Lots Locations
1,645 US Big Lots locations, with address, phone, website and map coordinates.
Buy the whole list — 1,645 rows · $8.80
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Big Lots | 1030 N Main St | Layton | UT | 84041-4816 | (801) 444-9486 | local.biglots.com | ab455ee7-ba99-48b8-b0fb-99fc084e874a | Big Lots | Q4905973 | discount_store | |shopping|discount_store| | discount_store | open | 0.949 | BrightQuery | 103076045 | BrightQuery:103076045|Overture-signals:af0500bc-b4b7-4675-96bf-6b2e726471fc | 2026-08-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: Big Lots | 41.075575 | -111.982521 | |||
| Big Lots | 1163 E Ogden Ave | Naperville | IL | 60563 | (630) 355-4978 | https://local.biglots.com/il/naperville/4506 | 96ec0fec-1413-4893-9ad3-60aeb9074651 | Big Lots | Q4905973 | discount_store | |shopping|discount_store| | discount_store | open | 0.92 | Microsoft | 1407374884322979 | Microsoft:1407374884322979|Overture-signals:f88ddc3a-0653-4cb1-9465-67f29af15c7f | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: Big Lots | 41.794687 | -88.127541 | |||
| Big Lots | 1255 N Truman Blvd | Festus | MO | 63028 | (636) 937-2757 | https://local.biglots.com/mo/festus/464 | d81f9125-2fd3-4fba-8ef2-5f0e28590da9 | Big Lots | Q4905973 | discount_store | |shopping|discount_store| | discount_store | open | 0.92 | Microsoft | 1407374884323114 | Microsoft:1407374884323114|Overture-signals:2ed72af4-10d9-417a-bc76-8230fba9b706 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: Big Lots | 38.233747 | -90.393436 |
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=big-lots-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 $8.80. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug big-lots-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=big-lots-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).