Australia Company Data — ABN / ASIC Registry 🇦🇺

foXLabs Asia-Pacific company-registry series: Singapore · Thailand · Vietnam · Taiwan · South Korea · Israel

🎉 Turn the Australian Business Register into clean, structured company data — no login, no API key, one row per entity, with the ABN, entity type, GST status, state and status. Built for B2B sales, lead generation, KYB / compliance and market-research teams.

🔍 What is the Australia Company Data — and when should you use it?

Give this actor company names or ABNs and it returns matching companies from the Australian Business Register (ABN Lookup, open data) — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run reads the source live.

Use it when you need: a company list for outreach; a quick profile before a call; or a starting point for account research.

Use something else when: you need firmographics the registry doesn’t hold (revenue, headcount, website, email) — pair this with an enrichment actor from Fox Labs.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/australia-company-data.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to pull Australia company records using the Apify Actor `foxlabs/australia-company-data`.
Input: `companyNames`, `abnNumbers`, `acnNumbers`, `entityType` and more — see the Input table below. `maxResults` caps how many results are returned.
Start with: {"entityType":"company","maxResults":100}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/australia-company-data.md.

📋 Overview

Everything you need to turn the Australian Business Register (ABN Lookup, open data) into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole registry, one call — name or ID in, matching companies out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable identifiers — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
• 💰 Per-row pricing — a minimal price per delivered row, no subscription.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~australia-company-data/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"entityType":"company","maxResults":100}'

🚀 Getting Started (3 steps)

1. Choose your targets — company names or ABNs.
2. Set the cap — maxResults limits how many results are returned.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"entityType":"company","maxResults":100}

Field	Type	Description
companyNames	array	Search by company, business or trading name (case-insensitive substring). Leave empty to browse by filters instead.
abnNumbers	array	Exact Australian Business Numbers (11 digits). Most precise lookup.
acnNumbers	array	Exact Australian Company Numbers (9 digits).
entityType	string	Filter by organisation type. Company = private (PRV) + public (PUB). Use 'non-individual' to exclude sole traders.
entityTypeCodes	array	Advanced: exact ABR entity-type codes to include, e.g. PRV, PUB, SMF, TRT. Overrides nothing — combine with other filters.
state	string	Filter by the main business location's state/territory.
gstRegistered	string	Filter by current GST registration.
activeOnly	boolean	Only return current (active) ABNs; exclude cancelled ones.
maxResults	integer	Hard cap on records (1–500000). Each run streams the current weekly extract (~12 GB); broad filters with a cap finish fastest.
proxyConfiguration	object	Proxy. Not needed — the ABR open data does not block; leave off for speed.

📤 Output

One row per result, saved to the dataset. Every row carries scrapedAt. Lookups that cannot be completed are reported in the run log rather than silently dropped.

Field	Description
abn	Abn
abnStatus	Abn Status
abnStatusFromDate	Abn Status From Date
acn	Acn
entityTypeCode	Entity Type Code
entityTypeName	Entity Type Name
name	Name
businessNames	Business Names
tradingNames	Trading Names
gstRegistered	Gst Registered
gstStatus	Gst Status
gstStatusFromDate	Gst Status From Date
state	State / province
postcode	Postcode
source	Source
sourceUrl	Public registry URL for the record

💼 Use cases

1. Australia B2B lead lists — active Australian entities by name. Input: name searches. Output: entities + type + state. Use: a ready sales list.

2. GST / status checks — confirm ABN status and GST registration. Input: ABNs. Output: status + GST flag. Use: validate a counterparty.

3. KYB / due diligence — verify an Australian entity by ABN. Input: the ABN or name. Output: the canonical ABR record. Use: confirm existence and status.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/australia-company-data').call({"entityType":"company","maxResults":100});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/australia-company-data').call(run_input={"entityType":"company","maxResults":100})
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

Written for apify-client 3 for Python, where call() returns a run object; with version 1 or 2 it returns a dict — write run['defaultDatasetId'] there.

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your input → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads the Australian Business Register (ABN Lookup, open data).

What do I search by? Company names or ABNs.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

Why are firmographics like revenue or website missing? A public business registry doesn’t hold them; we don’t ship empty columns. Pair with an enrichment actor from Fox Labs.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResults, or refine the input.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads a public government business registry published as open data. Results can still contain personal data (e.g. a registered agent’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.1.15 — 2026-10-08 — README: the Python example works with the current Apify client

• The README's Python example read the results with run['defaultDatasetId']. With the current Apify client for Python (version 3) call() returns a run object, not a dict, and that line raised TypeError: 'Run' object is not subscriptable — after the run itself had finished. The example now reads run.default_dataset_id; with client version 1 or 2, keep run['defaultDatasetId']. Checked with apify-client 3.2.1, 2.5.1 and 1.12.2.
• No code, output field or pricing change.

0.1.14 — 2026-09-20 — README examples corrected against the real input schema

• The README's code examples did not match this Actor. They used queries and maxResultsPerQuery — keys that do not exist in this Actor's input schema — with a placeholder value, and the input table listed those same phantom fields. Anyone who copied the AI-agent, cURL, JavaScript or Python example got a failing run. Every example now uses the real schema and matches the Console prefill: {"entityType":"company","maxResults":100}
• The input table is regenerated from input_schema.json, so it lists the fields the Actor actually accepts.
• Removed claims carried over from the same generator template where present: "formation / status monitoring", "a canonical registry record for KYB and due diligence", "every row carries query", and industry described as a NACE code.
• No code, output field or pricing change.

0.1 — 2026-09-07

• Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

0.0

• Initial release: data from the Australian Business Register (ABN Lookup, open data) by name or registry ID.