POI Data-as-a-Service provides a contextual layer of comprehensive and actionable information on, key features, business areas, and custom metadata attributes.
We seek to mitigate the challenges with web-scraped and off-the-shelf POI data, and provide tailored, complete, and manually verified datasets. Our goal is to help represent the physical world accurately for applications and services dependent on precise POI data and offer a reliable basis for analysis and intelligence.
We offer on-demand data services that fit unique use cases and business requirements. Using our advanced data acquisition techniques, we build and offer tailormade POI datasets. Combined with our expertise in location data solutions, we can be a holistic data partner for our customers.
KEY FEATURES:
POI-as-a-Service with on-demand collection in 20+ states leveraging our network of 4K+ clients.
Customise your feed by specific refresh rate, location, country, category, and brand based on your specific needs.
Data Noise Filtering Algorithms normalise and de-dupe POI data that is ready for analysis with minimal preparation.
The main goal of POI data is to identify a place of interest, establish its accurate location, and help businesses understand the happenings around that place to make better, well-informed decisions. POI can be essential in assessing competition, improving operational efficiency, planning the expansion of your business, and more.
A few common and widespread use cases of POI data are:
S No. | poi_id | poi_type | poi_category | latitude | longitude | address | city | country | postal_code | rating | reviews | price_level | wifi_available | parking_available | accessible | pet_friendly | last_updated | source |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 562345789234750 | museum | landmark | 50.0099822 | 17.0336959 | 38168 Village Green Court | Prague | Czech Republic | 190 17 | 1.3 | 91 | low | false | true | false | false | 1/24/2023 | official |
2 | 928347234758236 | restaurant | landmark | 56.9846069 | 16.3374996 | 2594 Basil Place | Stockholm | Sweden | 112 37 | 4.2 | 95 | moderate | false | true | false | false | 9/4/2022 | official |
3 | 987395759283759 | museum | natural attraction | 50.81667 | 27.03333 | 54785 Golf Course Junction | Kyiv | Ukraine | 4210 | 3.2 | 26 | low | false | false | true | false | 2/19/2022 | user |
4 | 928374982374928 | restaurant | landmark | -31.948311 | 115.865678 | 5604 Division Trail | Baoding | China | 71702 | 0.7 | 50 | moderate | false | true | false | false | 3/28/2023 | official |
5 | 562397562398572 | restaurant | historical site | 49.71671 | -113.41857 | 997 Gulseth Park | Fort McMurray | Canada | T9H 0B5 | 0.4 | 58 | moderate | false | false | false | false | 1/10/2023 | official |
6 | 928374982374928 | museum | natural attraction | -11.6876026 | 27.5026174 | 68 Eastwood Lane | Lubumbashi | Democratic Republic of the Congo | 1825 | 0.3 | 78 | high | true | false | false | false | 7/20/2022 | user |
7 | 398572398573289 | hotel | landmark | -8.2666267 | 115.054678 | 30133 Bluejay Center | Munduk | Indonesia | 81161 | 0.1 | 71 | high | true | false | true | true | 1/15/2023 | user |
8 | 562398572398572 | restaurant | landmark | 29.278608 | 108.098075 | 1917 Stoughton Road | Dongguan | China | 523590 | 0.8 | 51 | high | false | true | false | true | 3/2/2023 | official |
9 | 790103277522896 | park | landmark | 35.063892 | 101.818885 | 6556 Moulton Junction | Vigo | Spain | 36214 | 0.8 | 96 | high | true | true | false | false | 7/9/2022 | user |
10 | 894693320091709 | park | natural attraction | 37.8530229 | 126.7842319 | 54743 Oxford Pass | Munsan | South Korea | 10841 | 1.4 | 49 | moderate | true | false | true | true | 1/17/2023 | user |