87,729 italian restaurants in Australia.One verified cuisine pack.

Our verified dataset contains approximately 87,729 italian restaurants in Australia — including restaurants, cafes, pubs, bakeries and food-service venues that are currently trading. The figure is lower than registered ABN counts because we strip out dormant entities and head-office-only registrations.

75,886 venues — 86.5% of the Italian Restaurants pack — include a primary phone number, formatted in E.164 where available.

14,563 venues — 16.6% of the Italian Restaurants pack — include a publicly listed business email. The email column is null for venues that don't publish one.

13,598 venues — 15.5% of the Italian Restaurants pack. This is the highest-conversion segment for multi-channel sales sequences.

57,112 venues — 65.1% of the Italian Restaurants pack — list an active website. The remainder operate via Facebook page, Instagram, or third-party booking sites.

Yes, where they are publicly linked. Coverage in the Italian Restaurants pack: Facebook 13,174 (15%), Instagram 10,411 (11.9%), LinkedIn 5,109 (5.8%).

Yes. Every record includes the venue's average Google rating (0–5) and review count at the time of last verification. Filter for high-performers (4.5★+) or below-average venues if your offer is reputation-recovery focused.

Eighteen columns per row: business_name, legal_name, street_address, suburb, state, postcode, phone, email, website, cuisine, cuisine_secondary, latitude, longitude, google_rating, review_count, facebook_url, instagram_handle, last_verified.

Yes — the email column contains addresses sourced from publicly listed business pages, which is the right starting point for B2B outreach under the Australian Spam Act 2003. You must include a sender identification block and a working unsubscribe link in every message.

Yes. Upload the email column to Meta Ads Manager as a Custom Audience source. Match rates for Australian B2B email lists typically land in the 25–45% range. Use the Facebook URL and Instagram handle columns for manual targeting and lookalike seed selection.

Yes. The cuisine column tags each venue's primary segment, with cuisine_secondary capturing dual-classification venues (e.g. a cafe-bakery). Filter on either column.

Every record is re-verified on a quarterly cycle. The current edition is dated April 2026 — printed on the product page and inside the README that ships with the file. Buyers receive the latest edition at the time of purchase, no extra fee for refreshes inside the same quarter.

Records are aggregated from publicly listed business directories, Google Places, and official register lookups. Every record is deduplicated by ABN where available, and verified against at least two independent sources before publication.

The pack ships as a single ZIP containing CSV (UTF-8, header row), XLSX (with a second sheet documenting the schema), and a README. UTF-8 encoded, ready for direct CRM import.

Single-user, internal commercial licence. You can import the data into your CRM, marketing tool, BI dashboard or analytics workflow, and use it within your organisation. You cannot resell, sublicense, or republish the dataset.

The moment Stripe confirms payment, our system emails you a secure download link valid for 7 days. No account needed — just click the link. If it expires, contact support and we'll re-issue it.

Yes. Download a free 25-row sample from the sample page — same schema as the paid pack, real Australian venues, no credit card required.

Refunds are issued only when a download link cannot be issued, the file is materially corrupt, or the pack contains fewer than 80% of the advertised record count. All other purchases are non-refundable since the data delivers instantly.

Yes. Every record relates to a business, not a private individual, and is sourced from publicly listed information. The Privacy Act 1988 governs handling of personal information about individuals; business contact details published by the business itself are outside that scope. Your obligations under the Spam Act 2003 still apply when you use the data.