Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …)
# | UniqueID |
NationalID |
GeolevelLabel |
InfobelCode |
InfobelLabel |
InternationalCode |
InternationalLabel |
YearStarted |
SalesVolume |
StatusCodeName |
FamilyMembers |
LegalStatus |
ImportExportAgent |
HasMarketability |
|||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx |
2 | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx |
3 | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx |
4 | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx |
5 | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx |
6 | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
7 | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx |
8 | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx |
9 | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx |
10 | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx |
... | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
UniqueID
|
Float | 855820039.0 | |
String | GREGORY MICHAEL BELL | Company Name | |
String | Address | ||
String | Address | ||
Integer | 2795 | Postal Code | |
String | Bathurst | City Name | |
String | New South Wales | Province Name | |
String | Australia | Country Name | |
String | Phone Number | ||
String | Fax Number | ||
String | Contact Mobile Phone Number | ||
String | Phone Number | ||
String | Email Address | ||
String | http://www.bellysbikes.com.au | Website | |
NationalID
|
Integer | 84757290419 | |
Float | -33.4165642 | Latitude | |
Float | 149.5775416 | Longitude | |
GeolevelLabel
|
String | House | |
InfobelCode
|
Float | 19142.0 | |
InfobelLabel
|
String | Sale And Repair Of Cycles, Motorbikes And Accessories | |
InternationalCode
|
Integer | 5941 | |
InternationalLabel
|
String | Sporting goods and bicycle shops | |
String | ENG | Language Name | |
String | Contact Full Name | ||
String | Owner | Contact Job Title | |
String | Contact First Name | ||
String | Contact Last Name | ||
String | Contact Gender | ||
YearStarted
|
Integer | 2000 | |
SalesVolume
|
Integer | 3344335 | |
String | AUD | Currency Code | |
Integer | 1 | Company Employee Count | |
StatusCodeName
|
String | Single Location | |
FamilyMembers
|
Integer | 0 | |
LegalStatus
|
String | Proprietorship | |
ImportExportAgent
|
String | None or Not Available | |
HasMarketability
|
String | M |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Phone Number | ||
String | Contact Mobile Phone Number | ||
String | Email Address | ||
URL
|
http://www.infobelpro.com.au/ | ||
String | Managing Partner | Contact Job Title | |
Sales volume + Currency
|
513,213 AUD | ||
String | 3 | Company Employee Count | |
Founding year
|
2018 | ||
String | -37.7765120 / 145.4592358 | Latitude-Longitude | |
Business category
|
Real estate | ||
Marketability flag
|
M | ||
National ID/VAT
|
XXXXXXXXXXXXXX | ||
Family members
|
14 | ||
String | InfobelPro | Company Name | |
String | Address | ||
String | Contact Full Name |
Description
Country Coverage
History
Volume
9.24 million | records |
Pricing
License | Starts at |
---|---|
One-off purchase |
$250 / purchase |
Monthly License | Not available |
Yearly License |
$3,000 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Categories
Related Products
Frequently asked questions
What is Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …)?
Are you looking to target businesses in Australia or to sell a product in Australia or you are just looking for additional data to enhance your Australia local database? InfobelPro has the highest qualified list with 9,3 M updated company data in Australia.
Who can use Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …)?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Leads Data. Get in touch with Infobel to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …) go?
This product has 6 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …) cover?
This product includes data covering 1 country like Australia. Infobel is headquartered in Belgium.
How much does Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …) cost?
Pricing for Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …) starts at AUD250 per purchase. Connect with Infobel to get a quote and arrange custom pricing models based on your data requirements.
How can I get Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …)?
Businesses can buy B2B Leads Data from Infobel and get the data via S3 Bucket, SFTP, and REST API. Depending on your data requirements and subscription budget, Infobel can deliver this product in .json, .csv, .xls, and .txt format.
What is the data quality of Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …)?
Infobel has reported that this product has the following quality and accuracy assurances: 100% registered companies. You can compare and assess the data quality of Infobel using Datarade’s data marketplace. Infobel appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? January Edition.
What are similar products to Dataset of 9,3 M B2B entities in Australia (all companies, sole traders, …)?
This product has 3 related products. These alternatives include Dataset of 1,5 M B2B entities in Vietnam (all companies, sole traders, …), List of 22M Manufacturing companies worldwide, and B2B Data for 1.6M+ Brazilian Companies 40+ Attributes for B2B Leads, Accurate Firmographic , Marketing, Prospect and Company Data. You can compare the best B2B Leads Data providers and products via Datarade’s data marketplace and get the right data for your use case.