Australian Accommodation Business Data Extraction – 4,100 Records

I am looking for a freelancer/data extraction specialist to build a clean and accurate database of accommodation businesses across Australia.
Target Data
I require approximately 4,100 unique accommodation businesses:
Accommodation Type Target
Motels 1,700
Resorts 400
Holiday / Caravan Parks 2,000
Total 4,100
The data must cover all Australian states and territories:
NSW, VIC, QLD, WA, SA, TAS, NT and ACT
Required Fields
For every business, please provide:
• Account Name / Business Name
• Accommodation Type – Motel, Resort, or Holiday/Caravan Park
• Phone
• Business Email
• Full Street Address
• Suburb / City
• State
• Postcode
Data Requirements
• Australian businesses only
• All states and territories must be represented
• Business must currently exist/operate
• No duplicate businesses
• One row per physical accommodation property/location
• Phone and email should be included wherever publicly available
• Address, suburb/city, state and postcode must be separated into individual columns
• Do not provide generic suburb/location names without an identifiable business
• Remove permanently closed businesses where possible
• Final data must be delivered in Excel (.xlsx) or CSV
Extraction Method
You may use Python, APIs, OpenStreetMap/Overpass, public tourism directories, government/open datasets, business websites or other legitimate public sources.
I am happy for the freelancer to develop a Python extraction/enrichment model combining multiple sources to achieve the required coverage.
The process should ideally be:
Source Data → Extract Businesses → Categorise → Enrich Phone/Email/Address → Standardise State/Postcode → Deduplicate → Validate → Final Excel
Final Excel Format
Account Name Accommodation Type Phone Email Address Suburb/City State Postal Code
Example Resort Resort 07 xxxx xxxx
10 Example Rd Cairns QLD 4870
Important
Please provide a sample of 20–30 records before completing the full project so I can check the data quality and format.
When applying, please explain:
1. What data sources you will use
2. Whether you will use Python/API/web extraction
3. How you will find and validate phone numbers and emails
4. How you will remove duplicates
5. Expected coverage for the 4,100 target records