Lennar Locations
399 US Lennar 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Lennar at Lake of Champions | 14815 Churchill Downs Ave | Baytown | TX | 77523 | (888) 671-8175 | https://lennar.com/new-homes/texas/houston/belvieu/lake-of-champions/brookstone-collection | 518f862e-f076-4aee-be30-8cc4c0fbe817 | Lennar | Nlennar | building_or_construction_service | |services_and_business|building_or_construction_service| | building_or_construction_service | leeca.woods@lennar.com | https://www.facebook.com/106554071471950 | 0.746 | meta | 106554071471950 | meta:106554071471950 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: building_or_construction_service names a business, not premises | 29.842886 | -94.827843 | |||
| Lennar at The Cove at Waterside | 1521 Viscaya Cove Blvd | Winter Garden | FL | 34787 | (952) 373-0485 | https://www.lennar.com/New-Homes/Florida/Orlando/Winter-Garden/Waterside/The-Cove | 4e24c2e6-1541-4090-836c-728145f9295e | Lennar | Nlennar | real_estate_service | |services_and_business|real_estate_service| | real_estate_service | https://www.facebook.com/110376621312813 | 0.78 | meta | 110376621312813 | meta:110376621312813 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: real_estate_service names a business, not premises | 28.401785 | -81.638184 | ||||
| Lennar at Wolf Ranch | 113 Starflower Cv | Georgetown | TX | 78628-2697 | (952) 373-0485 | https://www.lennar.com/new-homes/texas/austin/georgetown/wolf-ranch/claremont-collection | fe24ea94-c918-4e94-aa42-af853b3f292b | Lennar | Nlennar | real_estate_service | |services_and_business|real_estate_service| | real_estate_service | https://www.facebook.com/100166279018142 | 0.743 | meta | 100166279018142 | meta:100166279018142 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: real_estate_service names a business, not premises | 30.630386 | -97.71859 |
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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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:
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https://locationlists.com/find?dataset=lennar-locations
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For developers
Dataset slug lennar-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=lennar-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).