Pita Pit Locations
250 US Pita Pit locations, with address, phone, website and map coordinates.
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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Pita Pit | 215 S Washington St | Stillwater | OK | 74074 | (405) 372-7482 | http://www.pitapitusa.com/ | 25e9f55f-3c51-45c7-a3a4-8e111a69d0bd | Pita Pit | Npitapit | restaurant | |food_and_drink|restaurant| | restaurant | open | 0.92 | Foursquare | 4c7951d793ef236a211daf0f | Foursquare:4c7951d793ef236a211daf0f|Overture-signals:03728f1e-2d9e-4e95-a642-834d8634e0cf | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: restaurant names a business, not premises | 36.11899 | -97.069275 | ||||
| The Pita Pit | 118 N Cate St | Hammond | LA | 70401 | (985) 345-8969 | 98122b5c-7994-4280-8439-51b43831db4d | Pita Pit | Npitapit | fast_food_restaurant | |food_and_drink|casual_eatery|fast_food_restaurant| | fast_food_restaurant | open | 0.966 | Microsoft | 281474976790435 | Microsoft:281474976790435|Overture-signals:daa21e51-2c52-4e4b-bbb2-e600be8615e9 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: blank; category: fast_food_restaurant names a business, not premises | 30.50445 | -90.460747 | |||||
| Pita Pit | 9911 Avon Lake Rd, | Burbank | OH | 44214 | (330) 948-7482 | http://locations.pitapitusa.com/ll/US/OH/Burbank/9911-Avon-Lake-Rd | a567c0a4-1969-4240-b261-b93ada146198 | Pita Pit | Npitapit | sandwich_shop | |food_and_drink|casual_eatery|sandwich_shop| | casual_eatery | https://www.twitter.com/pitapitusa | open | 0.92 | Foursquare | 586961941b36d41b5b2b345f | Foursquare:586961941b36d41b5b2b345f|Overture-signals:f8c01d13-8cab-4437-a392-d87c799059a5 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.43 | category: "shop" (store); brand: Pita Pit | 41.00079 | -81.987774 |
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/.
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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, 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=pita-pit-locations
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For developers
Dataset slug pita-pit-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=pita-pit-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).