POI Name | Address | City | State | Postal Code | Contact number |
---|---|---|---|---|---|
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 | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
Attributes | Example |
---|---|
POI Name | McDonalds |
Address | 490 8th Ave |
City | Manhattan |
State | New York |
Postal Code | 10001 |
Contact number | 2129470771 |
Xtract.io's comprehensive location data for restaurants and food stores offers a detailed view of the retail food landscape. Retail strategists, market researchers, and business developers can utilize this dataset to analyze market distribution, identify emerging trends, and develop targeted expansion strategies across the food retail sector.
Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.
Need customized datasets for your industry?
© 2025 Xtract.io Technology Solutions Pvt Ltd | All Rights Reserved | A Mobius Venture.
© 2025 Xtract.io Technology Solutions Pvt Ltd | All Rights Reserved | A Mobius Venture.
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you agree to our Privacy Policy and are happy with it.