Restaurants in the United Arab Emirates (AE) - Places Data Sample
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## **Overview** > Learn more about this dataset on [catalog.dotlas.com](https://catalog.dotlas.com/restaurants/unified_restaurant_establishments/) > This is a sample of our UAE Restaurants data product (temporal). The product contains **`40K+ restaurants`** updated frequently, and additional columns catered for leads and segmentation. > Additionally, we also curate restaurant menu data including dishes, prices, price history, restaurant promotions and social insights. This sample contains < 500 restaurants across Dubai, Sharjah, Abu Dhabi, Ajman and more. For pricing and licensing details please [**contact us**](mailto:info@dotlas.com) **Use cases** 🕰 Analyze competitor opening hours on each day of the week to help create an optimal operating time frame. 📈 Identify trending cuisines in different regions by analyzing the frequency and distribution of various cuisine types in different cities. 💰 Use the distribution data to identify underserved areas with high potential for new restaurant openings based on the lack of certain cuisine types. ### **Potential Sectors** * Food & Beverages (F&B) * GIS (Geographic Information Systems) and Geocoding Services * Marketing and Advertising Leads * Competitor Monitoring & Market Analysis * Financial tickering of F&B brand performance * Site Selection & Suitability Analysis * Real Estate Proximity Analysis **Key features** ▶️ **Restaurant Identification**: Includes unique identifiers and names for each restaurant. ▶️ **Geographical Data**: Detailed information about the `country`, `subregion`, `city`, `area`, and precise geographical coordinates (`latitude` and `longitude`) of each restaurant. ▶️ **Contact Information**: Addresses, phone numbers, email addresses, and website URLs. ▶️ **Social Media Presence**: Links to `Instagram`, `Facebook`, and `Twitter` profiles where available. ▶️ **Amenities**: Information on various amenities such as acceptance of credit cards, availability of Wi-Fi, presence of outdoor seating, and more. ▶️ **Additional Metadata**: Information on entertainment options, executive chef names, dress codes, dining styles, and more
## 数据集概述 > 如需了解该数据集的更多详情,请访问 [catalog.dotlas.com](https://catalog.dotlas.com/restaurants/unified_restaurant_establishments/) > 本数据集为我们阿联酋餐厅数据产品(时序版本)的采样子集。该产品涵盖**4万余家餐厅**,数据将定期更新,并额外提供适配销售线索与用户细分的字段。 > 此外,我们还精心整理了餐厅菜单数据,包含菜品、售价、价格历史、餐厅促销活动及社交洞察等内容。本次采样数据集涵盖迪拜、沙迦、阿布扎比、阿治曼等地区的不足500家餐厅。 如需了解定价与授权相关细节,请[联系我们](mailto:info@dotlas.com) **应用场景** 🕰 分析竞争对手的每日营业时段,助力制定最优门店运营时间表 📈 通过分析不同城市各类菜系的出现频次与分布情况,识别各区域的热门菜系 💰 基于特定菜系的供给缺口,利用分布数据挖掘潜力充足、服务不足的区域,用于新开餐厅选址 ### **潜在应用行业** * 食品与餐饮业(F&B) * 地理信息系统(GIS)与地理编码服务 * 营销与广告线索获取 * 竞品监测与市场分析 * 食品餐饮品牌业绩的金融行情追踪 * 门店选址与适宜性分析 * 房地产区位邻近性分析 **核心特征** ▶️ **餐厅识别模块**:包含每家餐厅的唯一标识与名称。 ▶️ **地理信息数据**:包含每家餐厅所属的`国家`、`次级区域`、`城市`、`商圈`,以及精确的地理坐标(`纬度`与`经度`)。 ▶️ **联系信息**:包含餐厅地址、电话号码、电子邮箱与官方网站链接。 ▶️ **社交媒体账号**:收录可用的`Instagram`、`Facebook`及`Twitter`官方账号链接。 ▶️ **配套设施信息**:包含各类配套服务详情,例如是否支持信用卡支付、是否提供Wi-Fi、是否设有户外座位等。 ▶️ **附加元数据**:包含娱乐设施、行政总厨姓名、着装要求、用餐风格等相关信息




