POI Data Pack
A geospatial listing of all points of interest and their respective category for any location worldwide.
- Business Name
- Street Address
- Latitude & Longitude
- Industry & Category
- Last Online Update Date
POI Data Pack
Advanced information on POIs.
This is useful to paint a more complete picture
- Country, State, City
- Price Class
- Popularity & Hours popular
- Most Discussed Topics
- Spoken Languages
You can add to the previous pack any of these KPIs if you need to further evaluate any business, brand or industry around the globe.
- Traveler Origin
- Traveler Type
- Date First Presence
- Date Closed
to know more?
For every point of interest, we provide quantitative information such as address, lat/long, category, phone number and website, but also business characteristics and facilities, amenities (i.e. cuisine type) as well as opening hours and when the place was detected to open/close.
We also provide a unique combination of Sentiment metrics overall and per topic, and Popularity indicators to measure how popular and busy a place is.
Yes, all our data is GDPR compliant.
We are one of the few companies in the world with global POI coverage, covering 180 countries and territories. We have currently mapped more than 251mln Points of interest.
We count more than 251 Million Points of Interest worldwide, grouped by 20 industries and 500+ categories. Find out all the details in our Categories’ Dictionary.
Yes, up to 3 – 5 years.
What is the granularity at which you would be providing the Location data set? What is the Polygon shape?
The granularity of the Location data is defined by a geospatial standard created by Microsoft and open sourced, called Bing tiles. You can find the documentation here – typically we deliver the data at tile 14 granularity, which means it’s about 750×750 meters size but we could reach 150×150 with no extra costs.
In POI Fragments, are all the reviews extracted for a single POI? Which are all the networks from which reviews are scraped?
Reviews are extracted for each individual POI, so you can join the POI_ID from the main listing to the POI_ID contained in the fragments dataset.
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