Australian business database
- Latest Australia company list
- Track Australian company changes & growth
- Enrich your database
- Get constant data updates
Get 360° view of Australian businesses
Australia company database serves as a singular, reliable source for in-depth information on companies, from new startups to established enterprises. With extensive data coverage, this database enables users to conduct thorough company analysis from different angles. Easily check company financials, employee satisfaction, performance industry wise, and much more.
Top data points: company_name, company_size, company_industry, company_description, company_specialties, similar_companies, active_job_postings, headcount and 100+ others.
Unique founders' data
Identify and track promising founders and startups, find new Australian companies, and support your investments with exclusive insights.
Top data points: Founder's name, startup name, founding year, No. of startups founded, unicorn experience, country, etc.
Data Points | Example Values |
---|---|
Company name | Masabi |
Location | Glasgow |
Industry | IT |
Type | For profit |
Founded | 2017 |
Competitors | Dailymotion |
Size | 5945; 501 to 1000 |
Revenue | $2 to $5 billion (USD) |
{
"id": 111371,
"url": "https://www.professional-network.com/company/luxury-store-brand",
"name": "Luxury store brand",
"website": "http://www.luxury-store-brand.com",
"size": "1,001-5,000 employees",
"industry": "Retail Apparel and Fashion",
"description": "Luxury store brand is the go-to destination for chic, contemporary fashion. The brand evokes a mindset - an attitude, not an age. It's a true original, always defining fashion's next stride forward.",
"followers": 23288,
"founded": 1976,
"created": "2016-06-17 20:08:21",
"last_updated": "2023-09-09 18:08:29",
"type": "Public Company",
"headquarters_new_address": "Los Angeles, California",
"employees_count": 1246,
"company_shorthand_name": "luxury-store-brand",
"canonical_url": "https://www.professional-network.com/company/luxury-store-brand",
"canonical_shorthand_name": "luxury-store-brand",
"deleted": 0,
"source_id": 16753,
"company_similar_collection": [
{
"id": 45310284,
"company_id": 111371,
"url": "https://www.professional-network.com/company/luxury-clothing-brand"
}
],
"company_specialties_collection": [
{
"id": 160305,
"company_id": 111371,
"specialty": "Luxury store brand stores"
}
]
Company profile sample
Our expertise in company data enables users to extract high-quality insights about any company or industry. Choose Australia company database and you'll get access to 100+ data points allowing you to evaluate companies from different angles. From financial data to industry performance, if you're looking for one source to see it all, check our data sample and try Coresignal.
Guaranteed data freshness
Constant flow of new companies
New data records are added to our database daily. On average, we discover over 495 million new records every year. Discovery and updates are based on a prioritization system that helps us focus on records that bring the most value to businesses like yours.
Easy change tracking
To save you time, we continuously crawl web data to identify changes and rescrape changed records when needed. Then, in our datasets, we mark the time of the last update. On average, we update 685M data records every month.
Updates based on your pace
The most popular datasets in our database are refreshed daily, while other datasets are updated monthly. The frequency of updates you’re getting depends on your preferences (daily/weekly/monthly/quarterly updates). Database accessible via APIs is refreshed every 6 hours.
AI-enriched company profiles
Enhanced with additional data fields from multiple sources, our database eliminates the need to scrape or purchase data separately. Some of these data fields are created or enriched with the help of LLM technology. If you need exclusive Australian company insights get a free consultation with our data experts.
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Analyzing companies and industry trends is not an easy task. And without accurate data, it becomes virtually impossible. That's why I'm recommending having the most comprehensive dataset before delving deep into analysis.