10.18170/DVN/EB6KJ1司, 倩楠倩楠司0000-0002-2882-1324中山大学Peking University Open Research Data Platform2018Business and Management司, 倩楠中山大学2018-02-272018-06-07103096823890application/vnd.ms-excelapplication/vnd.openxmlformats-officedocument.wordprocessingml.document1.0CC0 WaiverUsing the self-compiled crawler tool (implemented in Python language), the store reviews and comment information of different kinds of meals in Guangzhou from Dianping.com’s gourmet category are collected. After deduplicating, denoising and cleaning the data, some of the original fields were preprocessed to generate a set of derived variables for subsequent research. Specific operations can be seen in data documents. The dataset contains a total of 3124 restaurant data, classified by catering type, including 722 Cantonese cuisine, 572 porridge noodles, 566 Sichuan cuisine, 595 Japanese cuisine, and 669 western food. Data collection time is November 2017, and data format is csv.