SafeGraph Places provides baseline information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).
SafeGraph Places is a point of interest (POI) data offering with varying coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.
SafeGraph provides clean and accurate geospatial datasets on 51M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.
This dataset contains more than 1.7M United Kingdom POI across all categories with a limited set of essential columns.
This comprehensive retail point-of-interest (POI) dataset provides a detailed map of retail establishments across the United States and Canada. Retail strategists, market researchers, and business developers can leverage precise store location data to analyze market distribution, identify emerging trends, and develop targeted expansion strategies.
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 retail landscape of location intelligence.
LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive retail store data database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including: -Retail store locations -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping centers and malls, and more
Why Choose LocationsXYZ for Your Retail POI Data Needs? At LocationsXYZ, we: -Deliver POI data with 95% accuracy for reliable store location data -Refresh POIs every 30, 60, or 90 days to ensure the most recent retail location information -Create on-demand POI datasets tailored to your specific retail data requirements -Handcraft boundaries (geofences) for shopping center locations to enhance accuracy -Provide retail POI data and polygon data in multiple file formats
Unlock the Power of Retail Location Intelligence With our point-of-interest data for retail stores, you can: -Perform thorough market analyses using comprehensive store location data -Identify the best locations for new retail stores -Gain insights into consumer behavior and shopping patterns -Achieve an edge with competitive intelligence in retail markets
LocationsXYZ has empowered businesses with geospatial insights and retail location data, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge retail POI data and shopping center location intelligence.
https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy
The global Points-of-Interest (POI) Data Solutions market is expected to exhibit a remarkable growth trajectory, with a CAGR of XX% during the forecast period of 2025-2033. This market is projected to reach a substantial value of XXX million by 2033, indicating its promising growth prospects. The expansion of this market is primarily driven by the increasing demand for accurate and comprehensive POI data from various industries, including retail, real estate, and transportation. The rise of location-based services and the proliferation of mobile devices have further spurred the demand for reliable POI data to enhance user experiences and provide customized recommendations. Key growth drivers for the POI Data Solutions market include the increasing adoption of smartphones and location-based technologies, the rising demand for data-driven decisions in businesses, and the need for real-time information for navigation and exploration. However, the market may face challenges such as data privacy concerns, the availability of free and open-source POI data, and the dependence on third-party data sources for accuracy and completeness. The market is expected to be dominated by North America and Europe, with a significant presence of major players such as Google Cloud, Factual, and HERE Technologies. Asia Pacific is projected to experience notable growth due to the increasing smartphone penetration and the rapid development of smart cities in the region.
Xtract.io's massive point-of-interest database represents a transformative resource for location intelligence across the United States and Canada. Big data analysts, market researchers, and strategic planners can utilize these comprehensive location insights to develop sophisticated market strategies, conduct advanced spatial analysis, and gain a deep understanding of regional geographical landscapes.
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.
LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:
-Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more
Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats
Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence
LocationsXYZ has empowered businesses with geospatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.
SafeGraph is just a data company. That's all we do.SafeGraph Places for ArcGIS is a subset of SafeGraph Places. SafeGraph Places is a points-of-interest (POI) dataset with business listing, building footprint, visitor insights, & foot-traffic data for every place people spend money in the U.S.The complete SafeGraph Places dataset has ~ 5.4 million points-of-interest in the USA and is updated monthly (to reflect store openings & closings).Here, for free on this listing, SafeGraph offers a subset of attributes from SafeGraph Places: POI business listing information and POI locations (building centroids).Columns in this dataset:safegraph_place_idparent_safegraph_place_idlocation_namesafegraph_brand_idsbrandstop_categorystreet_addresscitystatezip_codeNAICS codeGeometry Point data. Latitude and longitude of building centroid.For data definitions and complete documentation visit SafeGraph Developer and Data Scientist Docs.For statistics on the dataset, see SafeGraph Places Summary Statistics.Data is available as a hosted Feature Service to easily integrate with all ESRI products in the ArcGIS ecosystem.Want More? Want this POI data for use outside of ArcGIS Online? Want POI data for Canada? Want POI building footprints (Geometry)?Want more detailed category information (Core Places)?Want phone numbers or operating hours (Core Places)?Want POI visitor insights & foot-traffic data (Places Patterns)?To see more, preview & download all SafeGraph Places, Patterns, & Geometry data from SafeGraph’s Data Bar.Or drop us a line! Your data needs are our data delights. Contact: support-esri@safegraph.comView Terms of Use
Xverum’s Point of Interest (POI) Data is a comprehensive dataset containing 230M+ verified locations across 5000 business categories. Our dataset delivers structured geographic data, business attributes, location intelligence, and mapping insights, making it an essential tool for GIS applications, market research, urban planning, and competitive analysis.
With regular updates and continuous POI discovery, Xverum ensures accurate, up-to-date information on businesses, landmarks, retail stores, and more. Delivered in bulk to S3 Bucket and cloud storage, our dataset integrates seamlessly into mapping, geographic information systems, and analytics platforms.
🔥 Key Features:
Extensive POI Coverage: ✅ 230M+ Points of Interest worldwide, covering 5000 business categories. ✅ Includes retail stores, restaurants, corporate offices, landmarks, and service providers.
Geographic & Location Intelligence Data: ✅ Latitude & longitude coordinates for mapping and navigation applications. ✅ Geographic classification, including country, state, city, and postal code. ✅ Business status tracking – Open, temporarily closed, or permanently closed.
Continuous Discovery & Regular Updates: ✅ New POIs continuously added through discovery processes. ✅ Regular updates ensure data accuracy, reflecting new openings and closures.
Rich Business Insights: ✅ Detailed business attributes, including company name, category, and subcategories. ✅ Contact details, including phone number and website (if available). ✅ Consumer review insights, including rating distribution and total number of reviews (additional feature). ✅ Operating hours where available.
Ideal for Mapping & Location Analytics: ✅ Supports geospatial analysis & GIS applications. ✅ Enhances mapping & navigation solutions with structured POI data. ✅ Provides location intelligence for site selection & business expansion strategies.
Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured format (.json) for seamless integration.
🏆Primary Use Cases:
Mapping & Geographic Analysis: 🔹 Power GIS platforms & navigation systems with precise POI data. 🔹 Enhance digital maps with accurate business locations & categories.
Retail Expansion & Market Research: 🔹 Identify key business locations & competitors for market analysis. 🔹 Assess brand presence across different industries & geographies.
Business Intelligence & Competitive Analysis: 🔹 Benchmark competitor locations & regional business density. 🔹 Analyze market trends through POI growth & closure tracking.
Smart City & Urban Planning: 🔹 Support public infrastructure projects with accurate POI data. 🔹 Improve accessibility & zoning decisions for government & businesses.
💡 Why Choose Xverum’s POI Data?
Access Xverum’s 230M+ POI dataset for mapping, geographic analysis, and location intelligence. Request a free sample or contact us to customize your dataset today!
Places of Interest(POI) within the City of Detroit from Foursquare's Open Source Places dataset.With Foursquare’s Open Source Places, you can access free data to accelerate geospatial innovation and insights.https://docs.foursquare.com/data-products/docs/access-fsq-os-places02-06-2025
Our Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and globally scaled POI data featuring over 164 million verified locations across 220 countries. We have been providing this data to companies worldwide for 30 years.
Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.
The infrastructure database or POI database of the city of Gelsenkirchen offers you comprehensive information about infrastructures in Gelsenkirchen. You currently have the opportunity to access over 100 different types of infrastructure as well as over 7000 data sets from the topics of family, education, leisure, infrastructure, culture, administration, social affairs and economy. In addition to the spatial location, information on contact details and other specialist information is stored. The offer is constantly expanded and maintained by the responsible departments on an ongoing basis.
Use Cases:
Location-based Marketing Transform marketing strategies with detailed insights into POI data, driving optimized ad placement, tailored promotions, and enhanced customer engagement. -Geo-targeted Advertising -Personalized Promotions -Enhanced Customer Engagement
Data Enrichment Enhance existing datasets with comprehensive POI data layers, enriching location profiles for more informed business strategies and decision-making. -Detailed POI Profiling -Improved Database Accuracy -Informed Business Strategy
Urban Planning and Development Leverage POI data to inform urban planning and development initiatives, supporting sustainable growth through informed land use zoning, infrastructure planning, and community engagement efforts. -Sustainable Development Strategies -Land Use Zoning Insights -Infrastructure Planning
Market Analysis Gain comprehensive insights into local market dynamics and consumer behavior patterns, enabling precise anticipation of trends and the creation of targeted marketing strategies. -Detailed Location Analysis -Consumer Behavior Profiling
Data Export Methodology
-Data Collection: Ethical and consent-based gathering from diverse, trusted sources. -Data Processing: Rigorous cleaning, integration, and normalization to ensure accuracy and privacy compliance. -Compliance and Privacy: Adherence to global standards like GDPR and CCPA, with a focus on ethical, anonymized data sourcing. -Data Export: Secure and structured exporting of data, maintaining privacy standards and suited for varied analytical needs.
Flexible Data Delivery Choose the delivery method and frequency that aligns perfectly with your business's unique workflow. We offer flexibility in both file format and delivery platform to ensure you get the data you need, how you need it
This file locates the establishments of activities and companies registered in the Trade and Companies Register (RCS) of 2018 within the perimeters of the zones of economic activities (ZAE) and supplemented by the annualised data from the GEOSIRENE file* inside and outside the ZAE (1356 zones in 2021). WARNINGS: - The establishments from the RCS have been geolocated according to the declared address or field observation (building, plot, track, etc.). - The data in the GEOSIRENE file come from the INSEE SIRENE database. This monthly stock is subject to a geolocation adjustment by the Etalab team based on data from the addresses of BAN, BANO (OSM) and OpenStreetMap’s Points of Interest (POI). These data are public and free of rights, downloadable from the following link: http://data.cquest.org/geo_sirene/
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This is a collection of datasets and source code used for a crime prediction study based on POI locations.[1] Crime data from data.police.uk for the following UK police forces:-- Greater Manchester Police,-- Merseyside Police,-- Dorset Police,-- West Yorkshire Police.Time span: October 2016--September 2019.License: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/Format: CVS (zipped).Files: GreaterManchesterPolice.zip MerseysidePolice.zip Dorset Police.zip West Yorkshire Police.zip [2] Data extracts from OpenStreetMap made available by Geofabrik.de forthe following UK counties:-- Greater Manchester,-- Merseyside,-- Dorset,-- West Yorkshire.Data layers: pois, pois_a, transport, transport_a.Downloaded on: November 14, 2019.License: Open Database License 1.0.Format: shapefile (zipped).Files: greater-manchester-latest-free.shp.zip merseyside-latest-free.shp.zip dorset-latest-free.shp.zip west-yorkshire-latest-free.shp.zip[3] UK administrative boundary data from ordnancesurvey.co.uk.Downloaded on: September 23, 2019.License: Open Government License.Note: Contains OS data © Crown copyright and database right 2018Format: shapefile (zipped)File: district_borough_unitary_region.shp.zip[4] Administrative boundary data for the following UK urban areas:-- Manchester (Manchester District),-- Liverpool (Liverpool District),-- Bournemouth (Bournemouth, Christchurch and Poole District),-- Wakefield (Wakefield District).Obtained by extracting the corresponding districts from dataset [3] listed above.Format: RDS.File: adm-man-liv-bou-wak.RDS.[5] Crime data aggregated to 300x300m grid for the following UK urban areas:-- Manchester (Manchester District),-- Liverpool (Liverpool District),-- Bournemouth (Bournemouth, Christchurch and Poole District),-- Wakefield (Wakefield District).Obtained by geographical aggregation of crime data [1] listed above, limited to the corresponding district boundaries from [3].Format: RDS.File: crime-grid-man-liv-bou-wak.RDS.[6] POI data aggregated to 300x300m grid for the following UK urban areas:-- Manchester (Manchester District),-- Liverpool (Liverpool District),-- Wakefield (Wakefield District),-- Bournemouth (Bournemouth, Christchurch and Poole District).Obtained by geographical aggregation of POI data [2] listed above, limited to the corresponding district boundaries from [3].Format: RDS.File: poi-grid-man-liv-bou-wak.RDS.[7] R functions for data preparation.File: crime-poi-functions-data.R.[8] R functions for model creation and evaluation.File: crime-poi-functions-model.R.[9] R script for data preparation.File: crime-poi-data.R.[10] R script for model creation and evaluation.File: crime-poi-model.R.The code assumes that:-- source code files are placed in the current working directory,-- original unprocessed data files [1-3] are placed in the data subdirectory of the current working directory,-- the RDS subdirectory exists in the current working directory (this is where RDS files are saved),-- the Plots subdirectory exists in the current working directory (this is where plot files are saved).The provided RDS files [4-6] may be optionally placed in the RDS subdirectory to avoid repeating the time-consuming data preparation process -- they will be used if available or re-created from the original data otherwise (but the latter may take several hours).
https://store.poidata.xyz/in Point-of-interest (POI) is defined as a physical entity (such as a business) in a geo location (point) which may be (of interest).
We strive to provide the most accurate, complete and up to date point of interest datasets for all countries of the world. The India POI Dataset is one of our worldwide POI datasets.
This is our process flow:
Our machine learning systems continuously crawl for new POI data
Our geoparsing and geocoding calculates their geo locations
Our categorization systems cleanup and standardize the datasets
Our data pipeline API publishes the datasets on our data store
POI Data is in a constant flux - especially so during times of drastic change such as the Covid-19 pandemic.
Every minute worldwide on an average day over 200 businesses will move, over 600 new businesses will open their doors and over 400 businesses will cease to exist.
In today's interconnected world, of the approximately 200 million POIs worldwide, over 94% have a public online presence. As a new POI comes into existence its information will appear very quickly in location based social networks (LBSNs), other social media, pictures, websites, blogs, press releases. Soon after that, our state-of-the-art POI Information retrieval system will pick it up.
We offer our customers perpetual data licenses for any dataset representing this ever changing information, downloaded at any given point in time. This makes our company's licensing model unique in the current Data as a Service - DaaS Industry. Our customers don't have to delete our data after the expiration of a certain "Term", regardless of whether the data was purchased as a one time snapshot, or via a recurring payment plan on our data update pipeline.
The main differentiators between us vs the competition are our flexible licensing terms and our data freshness.
The core attribute coverage for India is as follows: Poi Field Data Coverage (%) poi_name 100 brand 3 poi_tel 17 formatted_address 100 main_category 100 latitude 100 longitude 100 neighborhood 7 source_url 24 email 2 opening_hours 26
The dataset may be viewed online at https://store.poidata.xyz/in and a data sample may be downloaded at https://store.poidata.xyz/datafiles/in_sample.csv
https://www.caliper.com/license/maptitude-license-agreement.htmhttps://www.caliper.com/license/maptitude-license-agreement.htm
Business location data for Maptitude mapping software are from Caliper Corporation and contain point locations for businesses.
Techsalerator covers all POI's (Point of Interest) of businesses in United Kingdom. Through our diligent local sourcing, we are able to provide location of businesses in United Kingdom.
This include: address/Zip Code/ County / State/ Country + Lat/Long.
Companies utilize our POI's to enhance their publishing universe, do geo-mapping and to create identity graphs.
Techsalerator covers all POI's (Point of Interest) of businesses in Argentina. Through our diligent local sourcing, we are able to provide location of businesses in Argentina.
This include: address/Zip Code/ County / State/ Country + Lat/Long.
Companies utilize our POI's to enhance their publishing universe, geo-mapping and to create identity graphs.
MealMe offers in-depth restaurant menu data, including prices, from the top 100,000 restaurants across the USA and Canada. Our proprietary technology collects accurate, real-time menu and pricing information, enabling businesses to make data-driven decisions in competitive intelligence, pricing optimization, and market research. With comprehensive coverage that spans major restaurant platforms and chains, MealMe ensures your business has access to the most reliable data to excel in a rapidly evolving industry.
Platforms and Restaurants Covered: MealMe's database includes data from leading restaurant platforms such as UberEats, Postmates, ToastTakeout, SkipTheDishes, Square, Appfront, Olo, TouchBistro, and Clover, as well as direct menu data from major restaurant chains including Raising Cane’s, Panda Express, Popeyes, Burger King, and Subway. This extensive coverage ensures a detailed view of the market, helping businesses monitor trends, pricing, and availability across a broad spectrum of restaurant types and sizes.
Key Features: Comprehensive Menu Data: Access detailed menu information, including item descriptions, categories, sizes, and customizations. Real-Time Pricing: Monitor up-to-date menu prices for accurate competitive analysis. Restaurant-Specific Insights: Analyze individual restaurant chains such as Raising Cane’s and Panda Express, or platforms like UberEats, for market trends and pricing strategies. Cross-Platform Analysis: Compare menu items and pricing across platforms like ToastTakeout, Olo, and SkipTheDishes for a holistic industry view. Regional Data: Understand geographic variations in menu offerings and pricing across the USA and Canada.
Use Cases: Competitive Intelligence: Track menu offerings, pricing strategies, and seasonal trends across platforms like UberEats and Postmates or chains like Popeyes and Subway. Market Research: Identify gaps in the market by analyzing menus and pricing from top restaurants. Pricing Optimization: Use real-time pricing data to inform dynamic pricing strategies and promotions. Trend Monitoring: Stay ahead by tracking popular menu items, regional preferences, and emerging food trends. Platform Analysis: Assess how restaurants perform across delivery platforms such as SkipTheDishes, Olo, and Square. Industries Benefiting from Our Data Restaurant Chains: Optimize menu offerings and pricing strategies with detailed competitor data. Food Delivery Platforms: Benchmark menu pricing and availability across competitive platforms. Market Research Firms: Conduct detailed analyses to identify opportunities and market trends. AI & Analytics Companies: Power recommendation engines and predictive models with robust menu data. Consumer Apps: Enhance app experiences with accurate menu and pricing data. Data Delivery and Integration
MealMe offers flexible integration options to ensure seamless access to our comprehensive menu data. Whether you need bulk exports for in-depth research or real-time updates via API, our solutions are designed to scale with your business needs.
Why Choose MealMe? Extensive Coverage: Menu data from 100,000+ restaurants, including major chains like Burger King and Raising Cane’s. Real-Time Accuracy: Up-to-date pricing and menu details for actionable insights. Customizable Solutions: Tailored datasets to meet your specific business objectives. Proven Expertise: Trusted by top companies for delivering reliable, actionable data. MealMe empowers businesses with the data needed to thrive in a competitive restaurant and food delivery market. For more information or to request a demo, contact us today!
dataplor specializes in delivering highly precise, actionable intelligence tailored for businesses operating within the complex Japanese market. Our in-depth Point of Interest and foot traffic dataset for Japan is a cornerstone for businesses seeking to optimize operations and expand their footprint across the country.
Unlocking Japan's Potential with dataplor's POI Data Third-party Logistics / Order Fulfillment: Leverage our dataset to optimize delivery routes, identify optimal warehouse locations in bustling cities like Tokyo, Osaka, and Nagoya, and enhance last-mile delivery efficiency in densely populated urban areas.
Consumer Product Goods (CPGs): Gain a competitive edge by identifying ideal store locations in high-traffic areas, understanding consumer preferences across different regions and optimizing product distribution strategies. Telecommunication: Identify areas with high smartphone penetration, analyze competitor tower locations, and optimize network coverage in major cities and rural prefectures.
Finance and Investment: Evaluate potential investment opportunities by analyzing POI density and distribution in different regions (Tokyo, Osaka, Fukuoka), identifying affluent neighborhoods, and assessing the competitive landscape.
Store Location Data: Identify ideal store locations based on factors such as population density, competition, and consumer spending patterns in cities like Tokyo, Osaka, and Nagoya. Real Estate Intelligence: Assess property values based on location and surrounding amenities in major cities and regional areas.
Audience Targeting Data: Create highly targeted marketing campaigns through targeted marketing placement in high-density POI areas across Tokyo, Osaka, and Kyoto.
Travel Booking Data: Identify popular tourist destinations, analyze hotel and accommodation availability, and optimize travel itineraries for domestic and international visitors. dataplor's Japan POI dataset offers unparalleled granularity and accuracy, empowering businesses to make informed decisions and achieve sustainable growth in this dynamic market.
Techsalerator covers all POI's (Point of Interest) of businesses in Canada. Through our diligent local sourcing, we are able to provide location of businesses in Canada.
This include: address/Zip Code/ County / State/ Country + Lat/Long.
Companies utilize our POI's to enhance their publishing universe, geo-mapping and to create identity graphs.
This specialized location dataset offers a detailed mapping of cannabis dispensaries across the United States. Industry investors, market researchers, and strategic planners can leverage precise location information to understand market distribution, identify expansion opportunities, and develop targeted strategies in the emerging cannabis 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.
LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:
-Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more
Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats
Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence
LocationsXYZ has empowered businesses with geospatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.
SafeGraph Places provides baseline information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).
SafeGraph Places is a point of interest (POI) data offering with varying coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.
SafeGraph provides clean and accurate geospatial datasets on 51M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.
This dataset contains more than 1.7M United Kingdom POI across all categories with a limited set of essential columns.