USA Liquor & Alcohol License Scraper: Owners & Addresses
Scrape US liquor and alcohol beverage retail licenses: licensee and business name, trade name (DBA), license number and type, status, full business and mailing address, county, and issue and expiration dates. Filter by keyword, city, license type or status. Export to JSON, CSV or Excel.
{ "licenseeName": "TEXAS TECH UNIVERSITY ADMINISTRATION & FINANCE", "tradeName": "TOP TIER CATERING AT TEXAS TECH UNIVERSITY", "licenseNumber": "100000351", "masterFileId": "2100000189", "licenseType": "MB", "tier": "Retail", "status": "Active", "addressStreet": "3211 18TH ST", "city": "Lubbock" }
各実行で、型が揃ったきれいなレコードを返します。CRM・スプレッドシート・データベースにそのまま使えます。
- 結果ごとに 1 レコード、重複排除・正規化済み
- JSON・CSV・Excel の安定したスキーマ、または Apify API で読み取り
- クラウドで従量課金。インストールも保守も不要
実際の 1 レコード例。受け取る形そのままです。
| Licensee Name | Trade Name | License Number | Master File Id |
|---|---|---|---|
| TEXAS TECH UNIVERSITY ADMINISTRAT… | TOP TIER CATERING AT TEXAS TECH U… | 100000351 | 2100000189 |
| RED LOBSTER OF TEXAS INC. | RED LOBSTER OF TEXAS INC. 0169 | 100000650 | 2100001377 |
| TAYLOR HOLT CAPITAL LTD. | FINN MAC COOL'S PUB | 100000801 | 2100005144 |
| K-2 RESTAURANTS INC. | K-2 STEAK HOUSE INC. | 100000811 | 2100001352 |
| 1211 ENTERTAINMENT PRODUCTION LLC | THE BALCONY CLUB | 100000871 | 2100020737 |
{ "licenseeName": "TEXAS TECH UNIVERSITY ADMINISTRATION & FINANCE", "tradeName": "TOP TIER CATERING AT TEXAS TECH UNIVERSITY", "licenseNumber": "100000351", "masterFileId": "2100000189", "licenseType": "MB", "tier": "Retail", "status": "Active", "addressStreet": "3211 18TH ST", "city": "Lubbock" }
よくある質問
What counts as a lead?
Every record has a business or owner name plus a street address, so each row is a usable sales lead. You can enrich further with the mailing address and license dates.
Can I search several businesses at once?
Yes. Add multiple keywords and one run searches them all, tagging each record with the keyword that matched.
Can I get only active licenses?
Yes. Set status to Active (or Expired, Surrendered and so on) to keep only matching licenses.
How fresh is the data?
Records are read live at run time, so each row reflects the register at the moment of the run (see observedAt).