POI Data
Transform location-based decisions with enriched gloabl Points of Interest (POI) data
Our comprehensive POI database provides detailed location insights across the globe:
Coverage: Over 200 million+ unique POIs spanning 229 countries and regions
Categories: More than 6,000+ distinct business and location categories
Attributes: 50 different data points per location
Since we collect data dynamically, we provide the most updated data and insights via a best-suited method at a suitable interval (daily/weekly/monthly).
Data Delivery
- Delivery options: Snowflake, Amazon S3 bucket, Google Cloud, Azure, API
- Delivery format: JSON, CSV
Use Cases
Geofencing: Geofencing involves creating virtual boundaries around physical locations, enabling businesses to trigger actions when users enter or exit these areas
Geo-Targeted Advertising: Utilizing location-based insights, businesses can deliver highly personalized advertisements to consumers based on their proximity to relevant POIs.
Marketing Campaign Strategy: Analyzing visitor demographics and behavior patterns around POIs, businesses can tailor their marketing strategies to effectively reach their target audience.
Site Selection: By assessing the proximity to relevant POIs such as competitors, customer demographics, and economic indicators, organizations can make informed decisions about opening new locations.
OOH/DOOH Campaign Planning: Identify high-traffic locations and understand consumer behavior in specific areas, to execute targeted advertising strategies effectively.
Schema
| Attribute Name | Type | Sample Values |
|---|---|---|
| poi_id | string | 98950a9808b7e96fa1bba0e42048f8e732022b46 |
| name | string | McDonald's |
| description | string | Classic, long-running fast-food chain known for its burgers & fries. |
| category | string | Fast food restaurant |
| catergory_id | number | 871f554a1359834f0cbf05a9ae9a8c2545027814 |
| additional_categories | array | [Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich shop] |
| full_address | string | 335 US-1, Kittery, ME 03904 |
| address | string | 335 US-1 |
| city | string | Kittery |
| state | string | Maine |
| zip | number | 3904 |
| country_code | string | US |
| phone | array | [+1207-439-0301] |
| url | string | https://www.mcdonalds.com/us/en-us/location/ME/KITTERY/335-US-RTE-1/6902.html?cid=RF:YXT:GMB::Clicks |
| domain | string | www.mcdonalds.com |
| photo_url | string | https://lh5.googleusercontent.com/p/AF1QipOyuAWUC_mpRy4Pm3i5zmotPo78KslNL0mbfgcl=w426-h240-k-no |
| total_photos | number | 121 |
| latitude | number | 43.11463 |
| longitude | number | -70.73093 |
| is_claimed | bool | TRUE |
| status | string | open |
| attributes | JSON | {"service_options":["has_curbside_pickup","has_no_contact_delivery","has_delivery","has_drive_through","has_onsite_services","has_takeout","serves_dine_in"],"popular_for":["serves_breakfast_popular","serves_lunch_popular","serves_dinner_popular","suitable_for_solo_dining"],"accessibility":["has_wheelchair_accessible_entrance","has_wheelchair_accessible_parking","has_wheelchair_accessible_restroom"],"offerings":["serves_coffee","serves_late_night_food","quick_bite"],"dining_options":["serves_breakfast","serves_lunch","serves_dinner","serves_dessert","has_seating"],"atmosphere":["feels_casual"],"payments":["pay_debit_card","pay_mobile_nfc"],"children":["welcomes_children","has_high_chairs","has_childrens_menu"],"pets":["allows_dogs_outside"],"crowd":["suitable_for_groups"],"highlights":["serves_coffee_notable"],"parking":["has_parking_lot_free","has_parking_street_free"]} |
| place_topics | JSON | [drive thru, bathroom, coffee, prices, kids, window, cheeseburger, kiosk, trip, ketchup] |
| rating | number | {"max_rating":5,"value":3,"votes_count":877} |
| price_level | enum | inexpensive |
| rating_distribution | JSON | {"1":121,"2":65,"3":175,"4":230,"5":286} |
| people_also_search | JSON | [{"poi_id":"c120e1ac7b3c56cc09575113a8fc998917005470","title":"Burger King","rating":{"max_rating":5,"value":3,"votes_count":211}}, {"poi_id":"3f98eb939f92d434007907dadb55f2d51af5cf8c","title":"Dunkin'","rating":{"max_rating":5,"value":3,"votes_count":576}}, {"poi_id":"1c837b4bb72c470ccb0356765e09a8a9e3d33a99","title":"Lil's Cafe","rating":{"max_rating":5,"value":4,"votes_count":1065}}] |
| work_hours | JSON | [Monday Open 24 hours, Tuesday Open 24 hours, Wednesday Open 24 hours, Thursday Open 24 hours, Friday Open 24 hours, Saturday Open 24 hours, Sunday Open 24 hours] |
| popular_times | JSON | 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|
| total_business_links | array | [{"type":"menu","title":"mcdonalds.com","url":"https://www.mcdonalds.com/us/en-us/full-menu.html?cid=RF:YXT_LS:SI::MGBM"}] |
| contact_info | array | [{"type":"Telephone","value":"+12074390301","source":"google_business"}] |
| geometry_viewport_northeast_lat | number | |
| geometry_viewport_northeast_lng | number | |
| geometry_viewport_southwest_lat | number | |
| geometry_viewport_southwest_lng | number | |
| geometry_location_lat | number | |
| geometry_location_lng | number | |
| naics_code | number | |
| naics_code_description | string | |
| sic_code | number | |
| sic_code_description | string | |
| calculated_geo_hash_8 | string | |
| building_type | string | |
| building_name | string | |
| shape_type | string | polygon |
| shape_polygon | JSON | POLYGON ((-70.7312266 43.1145709, -70.7311767 43.114604, -70.7311877 43.1146128, -70.7310602 43.1146973, -70.7310475 43.1146871, -70.7310321 43.1146972, -70.7310053 43.1146757, -70.7309347 43.1147225, -70.7308244 43.1146337, -70.7308429 43.1146215, -70.7308254 43.1146074, -70.7309926 43.1144967, -70.7310084 43.1145094, -70.7310861 43.1144579, -70.7312266 43.1145709)) |
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