POIDB

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POIDB Data Products: APIs & Datasets

Explore POIDB’s datasets, databases, and data feeds.
This rich Dataset contains the store listing data of over 500 major brands, which totals approximately 70,000 individual store locations....
POIDB POI (Point-of-Interest) Data in Australia: Major Australian Retailers 70K Store locations icon
70K Store locations
POIDB POI (Point-of-Interest) Data in Australia: Major Australian Retailers Australia covered icon
Australia covered
This Dataset contains over 1500 major Shopping Centres across Australia. Each Shopping Centre has the following data:- Title Ma...
POIDB POI (Point-of-Interest) Data in Australia: Australian Shopping Centres Australia covered icon
Australia covered

POIDB Pricing & Cost

Learn about POIDB’s prices, subscription cost, and API pricing.

We provide a subscription based pricing model with monthly data updates. Pricing depends on the amount of data that sought and the usage of the data.

The supported pricing models for POIDB’s data are available by getting in contact with them via Datarade. Get talking to a member of the POIDB team to receive custom pricing options, information about data subscription fees, and quotes for POIDB’s data offering tailored to your use case.

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About POIDB

Learn more about POIDB’s data sources, use cases, and integrations.

POIDB in a Nutshell

POIDB is an Australian data provider offering Point-of-Interest (POI) Data for over 485 major brand chains across Australia. Industries include Shopping Centres, Supermarkets, Variety Stores, Apparel, Restaurants, Home Improvement, Entertainment, Health and Electrical. All data is refreshed annually and includes Coordinates, Address, Contact Numbers and Opening Closing Times. POIDB is headquartered in Sdney, Australia.

Headquarter
Australia

Geo Coverage

Oceania (1)
Australia

Use Cases

Customers use our data for making decisions around areas such as risk analysis, access to services or recreation facilities, store location, location-based marketing, and “find the nearest” searches.

Data Sources & Collection

We source our data from Business Owners, Social Media Community and Business Partners. All data that make up our Premium dataset is checked and reviewed by our Team.

Key Differentiators

For us it is not about how much data we have - its more about the quality of the data we manage.

We are backed by a community driven Point of Interest website that has been operating for over 10 years with over 40,000 verified members.

We also enjoy building custom POI Datasets for our clients. This is a service we have done for many years (and we think we are very good at it).

Data Privacy

What are you looking for?

Mark
from POIDB is ready to assist you

Frequently asked questions about POIDB

What does POIDB do?

POIDB is an Australian data provider offering Point-of-Interest (POI) Data for over 485 major brand chains across Australia. Industries include Shopping Centres, Supermarkets, Variety Stores, Apparel, Restaurants, Home Improvement, Entertainment, Health and Electrical. All data is refreshed annually and includes Coordinates, Address, Contact Numbers and Opening Closing Times. POIDB is headquartered in Sdney, Australia.

How much does POIDB cost?

The supported pricing models for POIDB’s data are available by getting in contact with them via Datarade. Get talking to a member of the POIDB team to receive custom pricing options, information about data subscription fees, and quotes for POIDB’s data offering tailored to your use case.

What kind of data does POIDB have?

Business Listings Data, POI Data Australia, Point of Interest (POI) Data, Retail Location Data, and 2 others

How does POIDB collect data?

We source our data from Business Owners, Social Media Community and Business Partners. All data that make up our Premium dataset is checked and reviewed by our Team.

What are the best use cases for POIDB’s data?

Customers use our data for making decisions around areas such as risk analysis, access to services or recreation facilities, store location, location-based marketing, and “find the nearest” searches.