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up [1 / 1 pages]. category_1.id: (0 ~ 19 = 19) / [19 rows]. 0.00091s.
Mobile Rows Clusters JSON XML Excel CSV ↓

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category_1.id category_1.ts category_1.title
1 2018-11-05 17:52:29 Travel & Transportation
2 2018-11-05 17:52:36 Computers & Electronics
3 2018-11-05 17:52:39 Automotive
4 2018-11-05 17:52:44 Sports & Recreation
5 2018-11-05 17:52:52 Media & Communications
6 2018-11-05 17:52:56 Arts & Entertainment
7 2018-11-05 17:52:59 Legal & Financial
8 2018-11-05 17:53:02 Shopping
9 2018-11-05 17:53:06 Health & Medicine
10 2018-11-05 17:53:10 Real Estate
11 2018-11-05 17:53:16 Business & Professional Services
12 2018-11-05 17:53:20 Home & Garden
13 2018-11-05 17:53:22 Food & Dining
14 2018-11-05 17:53:26 Clothing & Accessories
15 2018-11-05 17:53:30 Community & Government
16 2018-11-05 17:53:33 Industry & Agriculture
17 2018-11-05 17:53:39 Education
18 2018-11-05 17:53:43 Personal Care & Services
19 2018-11-05 17:53:46 Construction & Contractors
category_1.id category_1.ts category_1.title
up [1 / 1 pages]. category_1.id: (0 ~ 19 = 19) / [19 rows]. 0.00091s.
Mobile Rows Clusters JSON XML Excel CSV ↓
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