| Polygon Name | Address | Latitude | Longitude | Polygon |
|---|---|---|---|---|
| xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
| xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
| xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
| xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
| xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
| Attributes | Example |
|---|---|
| Polygon Name | IKEA BROOKLYN |
| Address | 1 BEARD STREET, BROOKLYN, NY, US, 11231 |
| Latitude | 40.6714574 |
| Longitude | -74.0113265 |
| Polygon | MultiPolygon (((-74.0104281671395654 40.67067183912575956, -74.01135698153132125 40.67093047471217915, -74.01137517128684351 40.67089523206084323, -74.01150591015472457 40.67093559058093888, -74.01151187866825865 40.67092109561949087, -74.01162272249101193 40.67095491719618394, -74.01159799579208709 40.67100351794924507, -74.01218688912736354 40.67116324674000793, -74.012200531444023 40.67112914094839482, -74.01235343907644904 40.67117404690736038, -74.01234036518965809 40.67120587897953499, -74.01243017710757499 40.67123202675311688, -74.01239209230693916 40.67130194362593443, -74.01248133579500177 40.67133263883838623, -74.01240630305343871 40.67148440961108946, -74.01238015527987102 40.67147531473332833, -74.01233581775076686 40.67156114764222963, -74.01226703773767213 40.67154125259712316, -74.0121175406844003 40.67185161530084514, -74.01218632069749503 40.67187321563553581, -74.01213459358019975 40.67197666987011218, -74.01206524513725071 40.67195677482500571, -74.01203000248591479 40.67203692343530719, -74.0115189840414871 40.67188913167161957, -74.01142860369370169 40.67209035584216537, -74.01119156844195857 40.67201987053949352, -74.0111728102565678 40.67207273451650451, -74.01015532080663206 40.6717828352877504, -74.01018828973853658 40.67169359179968069, -74.00986371628830796 40.67160434831161808, -74.00988588505285293 40.6715520527644756, -74.00993988588957961 40.67156796880055936, -74.00997512854092975 40.67149691506801901, -74.00992965415210278 40.67148554647081227, -74.00995011762707065 40.67144746167016933, -74.0099910445770206 40.67145939869723748, -74.01006323516928376 40.67131558594258678, -74.01003140309710204 40.67130592263495714, -74.01010814112824221 40.67113709896644735, -74.01014452063930094 40.67114846756365409, -74.01022523767946382 40.6709773701757058, -74.0101928371774278 40.67096998058752177, -74.01024342743500029 40.67085629461546148, -74.0102769647967591 40.67086709478280682, -74.01039974564659474 40.67062622262948679, -74.01044237788612179 40.67063915440881061, -74.0104281671395654 40.67067183912575956))) |
Access detailed location data for businesses catering to home services, including carpet and flooring stores, HVAC companies, construction firms, telecommunications providers, and real estate agencies. Whether you’re analyzing customer demand, optimizing service areas, or expanding operations, our dataset delivers the insights needed for informed decision-making.
All our polygons are manually crafted using advanced GIS tools like QGIS, ArcGIS, and similar applications. This involves leveraging aerial imagery and street-level views to ensure precision. Beyond visual data, our expert GIS data engineers integrate venue layout/elevation plans sourced from official company websites to construct detailed indoor polygons. This meticulous process ensures higher accuracy and consistency.
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© 2025 Xtract.io Technology Solutions Pvt Ltd | All Rights Reserved | A Mobius Venture.
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