This information is derived from inspections of restaurants and other food establishments in Chicago from January 1, 2010 to the present. Inspections are performed by staff from the Chicago Department of Public Health’s Food Protection Program using a standardized procedure. The results of the inspection are inputted into a database, then reviewed and approved by a State of Illinois Licensed Environmental Health Practitioner (LEHP). For descriptions of the data elements included in this set, go to http://bit.ly/tS9IE8
Disclaimer: Attempts have been made to minimize any and all duplicate inspection reports. However, the dataset may still contain such duplicates and the appropriate precautions should be exercised when viewing or analyzing these data. The result of the inspections (pass, pass with conditions or fail) as well as the violations noted are based on the findings identified and reported by the inspector at the time of the inspection, and may not reflect the findings noted at other times. For more information about Food Inspections, go to http://bit.ly/tD91Sb. Data Owner: Chicago Department of Public Health. Time Period: 2010 - Present. Frequency: Data is updated weekly.

Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly.

Explore the historical Whois records related to restaurant-manager-jobs-search.com (Domain). Get insights into ownership history and changes over time.

About this Dataset

Contact information for over 20,000 restaurants across the US. All restaurants from the NAICS code 72251: Restaurants and Other Eating Places. This includes all set down, fast casual, fast food, and ethnic restaurants. List includes name, address, phone number, website, contact email address, and a brief description. Data was collected from a combination of web scrapping and manual data entry. Similar lists cost over $1500 from lead generation and business data companies.

Category

Lead Generation

Keywords

restaurants,contact,mailing

Row Count

21210

Price

$499.00

The Health Division of the Department of Inspectional Services (ISD) creates and enforces food safety codes to protect public health. All businesses which prepare and sell food to the public must possess a food service permit. In order to qualify for a permit, at least one full time employee must be must be certified through an accredited food manager program, which provides guidance on handling and serving food to the public.

This dataset contains a list of restaurants that met the City's standards to become licensed food service establishments.

This dataset provides restaurant inspections, violations, grades and adjudication information

Eateries in in New York City Department of Parks & Recreation properties including snack bars, food carts, mobile food trucks, and restaurants.

The restaurant industry is undergoing a significant digital transformation, driven by the increasing need for data-driven decision-making. Restaurant analytics software is at the forefront of this change, offering powerful tools to optimize operations, enhance customer experience, and boost profitability. The market, currently estimated at $2 billion in 2025, is experiencing robust growth, projected to achieve a Compound Annual Growth Rate (CAGR) of 15% between 2025 and 2033. This growth is fueled by several key drivers: the rising adoption of cloud-based solutions offering scalability and accessibility; the increasing availability of affordable and user-friendly software; the growing demand for real-time data insights to improve menu engineering, inventory management, and marketing strategies; and the expanding use of AI and machine learning to predict customer behavior and optimize resource allocation. The market is segmented by application (commercial and corporate restaurants) and deployment type (cloud-based and on-premises), with cloud-based solutions dominating due to their flexibility and cost-effectiveness. While the North American market currently holds the largest share, significant growth is anticipated in the Asia-Pacific region, driven by rapid technological advancements and increasing smartphone penetration. However, challenges remain, including the high initial investment cost for some solutions, concerns about data security and privacy, and the need for ongoing training and support for restaurant staff. Despite these restraints, the long-term outlook for the restaurant analytics software market remains positive, driven by the inherent need for data-driven efficiency and competitive advantage within the highly dynamic restaurant landscape. The competitive landscape is characterized by a mix of established players like Oracle and emerging innovative companies such as Personica, Apicbase, and others. This competitive environment fuels innovation and drives down costs, making the technology more accessible to restaurants of all sizes. Successful vendors are focusing on developing integrated solutions that combine data analytics with other essential restaurant management tools, creating a holistic ecosystem that simplifies operations. Future growth will hinge on the successful integration of advanced analytics, including predictive modeling and AI-powered insights, to offer restaurant owners more proactive, data-driven solutions to enhance every aspect of their business, from menu optimization and supply chain management to customer relationship management and marketing campaigns. The increasing adoption of mobile POS systems and the rise of online ordering platforms are further driving demand for sophisticated analytics capabilities that can effectively manage the complexities of the modern restaurant environment.

This dataset contains records of regulated businesses, referred to as inventory, including restaurants, markets, and other food-related programs overseen by the County of Los Angeles Environmental Health. Each record represents a specific regulated program within a facility and includes details about its location, ownership, program type, and geographic coordinates (latitude and longitude). The inventory covers businesses in Los Angeles County’s unincorporated areas and 85 of its 88 cities, excluding Pasadena, Long Beach, and Vernon, which operate their own health departments. The dataset is updated quarterly and includes records from the past three years to reflect active and newly established facilities. The FACILITY ID serves as the primary key to link each facility to its associated inspections, found in the Environmental Health Restaurant and Market Inspections dataset.Data Dictionary: Field Name Description FACILITY ID Unique identifier for the facility. FACILITY NAME Official name of the facility.RECORD ID Unique identifier for the health program associated with the facility.PROGRAM NAME A unique name for each program. There may be more than one program at a facility. PROGRAM ELEMENT Code representing the specific type of program under which the facility operates. PE DESCRIPTION Description of the program element or category. FACILITY ADDRESS Street address of the facility. FACILITY CITY City where the facility is located. FACILITY STATE State where the facility is located. FACILITY ZIP ZIP code of the facility’s location. FACILITY LATITUDE Geographical latitude coordinate of the facility. FACILITY LONGITUDE Geographical longitude coordinate of the facility. OWNER ID Unique identifier assigned to the business owner. OWNER NAME Legal name of the business owner. OWNER ADDRESS Street address of the business owner. OWNER CITY City where the business owner resides or is headquartered. OWNER STATE State where the business owner resides or is headquartered. OWNER ZIP zip code for the business owner's address.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This dataset is about companies. It has 1 row and is filtered where the company is Restaurant Brands International. It features 2 columns including CEO.

Analysis of ‘Restaurant Business Rankings 2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/michau96/restaurant-business-rankings-2020 on 12 November 2021.

--- Dataset description provided by original source is as follows ---

Context

The year 2020 is behind us, therefore, many summaries of this pandemic year are created, e.g. in the form of rankings. Such a list (or actually 3 lists) was created by the "Restaurant Business" magazine. On the website you can find only basic information about ranked restaurants, full data and analyzes are available in the paid report.

Content

The data was obtained by means of web scraping, i.e. data download with the use of programming code based on the website code. In this case, the "rvest" package from the R programming language was used along with the "SelectorGadet" browser add-on to facilitate work with the website.

The data was downloaded from www.restaurantbusinessonline.com on January 30, 2021 with three plants describing 3 rankings: top 250, top 100 indenents and future 50 thus creating 3 tables, where the restaurant is described by several variables in each row.

Inspiration

The data can be used to tell the story of what 2020 was like for restaurants, what was hot, what could be more popular soon, or what the difference is between large companies and smaller businesses. I am curious what useful information can be obtained from this data!

Photo by Luis Hansel on Unsplash.

--- Original source retains full ownership of the source dataset ---

• Business List Building Eg: Store List, Restaurant Owners, Construction Companies, Ecom Companies, Shopify Data etc. (ALL Type of Business and Prospect Contacts)

• Prospect List Building(Eg. Specific Job Roles, Business Decision Makers) By ABM/TAL/MAL List, Advance Industries (SIC/NAICS), Niche, Geolocation, Revenue, Company Size, Industry, Suppression and more additional filters required

• Linkedin Prospecting

• Data Append & Enrichment

• Data Mining/Cleansing and Directory Scrapping

Restaurant Accounting Software Market Outlook

The global restaurant accounting software market size was valued at approximately USD 2.5 billion in 2023 and is projected to reach around USD 5.3 billion by 2032, registering a compound annual growth rate (CAGR) of 9.1% during the forecast period. This significant growth can be attributed to the increasing digitization of restaurant operations and the growing need for efficient financial management tools in the hospitality sector. The market is driven by a robust demand for solutions that streamline accounting processes, improve financial accuracy, and enhance overall operational efficiency. Additionally, the rise of cloud-based technologies and the increasing adoption of mobile devices are further propelling the market forward.

One of the primary growth factors for the restaurant accounting software market is the escalating complexity of financial operations within the restaurant industry. As restaurants continue to expand their operations both locally and globally, managing multiple revenue streams, diverse supplier contracts, and varying tax regulations has become increasingly challenging. This complexity necessitates advanced accounting solutions that can automate financial processes, reduce errors, and provide real-time insights into financial performance. Consequently, restaurant owners and managers are increasingly investing in sophisticated accounting software to gain a competitive edge, ensuring compliance and optimizing their financial management practices.

Another significant growth driver is the rising demand for data-driven decision-making in the restaurant industry. With the advent of big data and analytics, restaurant owners are placing greater emphasis on leveraging financial data to drive strategic business decisions. Restaurant accounting software provides comprehensive reporting and analytics capabilities that allow businesses to track key performance indicators, analyze trends, and forecast financial outcomes. This data-driven approach enables restaurants to make informed decisions regarding menu pricing, cost control, and resource allocation, ultimately leading to improved profitability and business sustainability. The growing recognition of the value of data analytics is fueling the adoption of restaurant accounting software across the industry.

Moreover, the increasing focus on enhancing customer experiences is indirectly contributing to the growth of the restaurant accounting software market. Today's consumers expect personalized, efficient, and seamless dining experiences, prompting restaurants to invest in technologies that improve service delivery and customer engagement. Accounting software solutions integrate with point-of-sale systems and other customer-facing technologies, enabling restaurants to offer faster transactions, accurate billing, and loyalty program integration. By providing these enhanced customer experiences, restaurants can attract and retain more customers, thereby driving revenue growth and necessitating advanced accounting software to manage the associated financial transactions efficiently.

The regional outlook for the restaurant accounting software market reveals a diverse landscape with varying growth trajectories across different regions. North America currently holds a significant share of the market, driven by the presence of a large number of restaurant chains and the early adoption of advanced technologies. The region's mature market is characterized by a high level of digital literacy and a strong focus on operational efficiency, contributing to the widespread implementation of restaurant accounting software. In contrast, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to the rapid expansion of the foodservice industry and increasing investments in digital infrastructure. The growing middle-class population and rising disposable incomes in countries like China and India are further fueling the demand for restaurant accounting solutions.

In the broader landscape of financial management within the hospitality industry, tools such as the Retail Accounting Tool have emerged as vital resources for businesses seeking to optimize their financial operations. This tool is particularly beneficial for retail-oriented restaurant chains that require precise tracking of sales, inventory, and customer transactions. By integrating with existing point-of-sale systems, the Retail Accounting Tool provides real-time data analytics, enabling restaurant managers to make infor

This data set is sunset and will not be updating any more. Please go to this link for updated information: https://inspections.myhealthdepartment.com/dallas

This data set is intended to communicate the name of establishment, the physical location of the establishment, the date the inspection was conducted, the overall score for the inspection, and the point deduction for the individual violations.

Disclaimer: The inspection data represents a specific period in time. It does not represent the ownership of the establishment or the full history of the establishment.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

The global restaurant management platform market is experiencing robust growth, driven by the increasing adoption of technology in the food service industry. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% between 2025 and 2033, reaching an estimated market value of $45 billion by 2033. This expansion is fueled by several key factors. The rising demand for streamlined operations, enhanced customer experiences, and improved data-driven decision-making is pushing restaurants of all sizes to adopt sophisticated management platforms. Cloud-based solutions are dominating the market due to their scalability, accessibility, and cost-effectiveness, outpacing on-premise deployments. Key application segments like restaurant operations management, scheduling, and accounting software are experiencing significant growth, indicating a holistic shift towards integrated technological solutions. Furthermore, the increasing penetration of smartphones and mobile POS systems is contributing to the market's expansion, offering greater flexibility and real-time insights for restaurant owners and managers. Growth is geographically diverse, with North America and Europe currently holding the largest market share, owing to high technology adoption rates and established restaurant infrastructure. However, emerging markets in Asia-Pacific, particularly in India and China, present significant untapped potential for future expansion. While the market faces challenges such as high initial investment costs for some solutions and concerns about data security, the overall positive trajectory is expected to persist, driven by ongoing innovation, the emergence of specialized features (e.g., AI-powered forecasting), and increasing competition, pushing vendors to offer increasingly affordable and user-friendly platforms. The competitive landscape is characterized by a mix of established players like NCR Corporation and Oracle MICROS, and agile startups like Toast and Square, resulting in a dynamic and innovative market environment.

The global restaurant reservation software market is experiencing robust growth, driven by the increasing adoption of online ordering and reservation systems by restaurants of all sizes. The market's expansion is fueled by several key factors, including the rising popularity of online food delivery platforms, the growing preference for contactless dining experiences (especially amplified post-pandemic), and the increasing need for efficient restaurant management tools. Technological advancements, such as AI-powered reservation systems offering predictive analytics and optimized table management, are further accelerating market growth. Key players like OpenTable, Resy, and Tock are continuously innovating to enhance their platforms, adding features like online ordering integration, customer relationship management (CRM) tools, and advanced reporting capabilities. This competitive landscape is driving innovation and affordability, making these solutions accessible to a wider range of restaurants. We estimate the market size in 2025 to be approximately $2.5 billion, with a Compound Annual Growth Rate (CAGR) of 15% projected through 2033. This growth is anticipated across various segments, including cloud-based solutions, on-premise software, and mobile applications, catering to diverse restaurant needs and technological preferences. While the market shows significant promise, certain restraints exist. The high initial investment costs for implementing sophisticated reservation systems can be a barrier for smaller restaurants. Furthermore, data security concerns and the need for ongoing technical support and maintenance are challenges that need to be addressed by both vendors and restaurants. However, the long-term benefits of increased efficiency, improved customer experience, and enhanced data-driven decision-making are expected to outweigh these challenges, leading to sustained market growth. The integration of these systems with other restaurant management platforms like point-of-sale (POS) systems further streamlines operations and provides a comprehensive solution for restaurant owners, solidifying the market's future prospects.

The dataset contains every sustained or not yet adjudicated violation citation from every full or special program inspection conducted up to three years prior to the most recent inspection for restaurants and college cafeterias in an active status on the RECORD DATE (date of the data pull). When an inspection results in more than one violation, values for associated fields are repeated for each additional violation record. Establishments are uniquely identified by their CAMIS (record ID) number. Keep in mind that thousands of restaurants start business and go out of business every year; only restaurants in an active status are included in the dataset. Records are also included for each restaurant that has applied for a permit but has not yet been inspected and for inspections resulting in no violations. Establishments with inspection date of 1/1/1900 are new establishments that have not yet received an inspection. Restaurants that received no violations are represented by a single row and coded as having no violations using the ACTION field. Because this dataset is compiled from several large administrative data systems, it contains some illogical values that could be a result of data entry or transfer errors. Data may also be missing. This dataset and the information on the Health Department’s Restaurant Grading website come from the same data source. The Health Department’s Restaurant Grading website is here: http://www1.nyc.gov/site/doh/services/restaurant-grades.page See the data dictionary file in the Attachments section of the OpenData website for a summary of data fields and allowable values.

Restaurant Software Market Outlook

The global restaurant software market size was valued at USD 12.3 billion in 2023 and is projected to reach USD 29.7 billion by 2032, with a CAGR of 10.1% from 2024 to 2032. The surge in this market can largely be attributed to the rapidly evolving technological landscape and increasing digital transformation within the restaurant industry. As restaurants strive to improve operational efficiency and enhance customer experience, the demand for advanced software solutions is anticipated to witness significant growth.

One of the primary growth factors driving the restaurant software market is the increasing adoption of digital solutions for streamlining operations. The proliferation of smartphones and internet penetration has led to a paradigm shift in how restaurants manage orders, inventory, and customer relationships. By leveraging advanced software tools, restaurants can optimize their processes, reduce errors, and improve service delivery, thereby boosting their overall profitability. Additionally, the growing trend of online food delivery services has necessitated robust software systems to manage the influx of digital orders efficiently.

Another significant driver of market growth is the rising consumer expectation for personalized dining experiences. Modern consumers seek more than just good food; they expect seamless service, personalized recommendations, and a memorable dining experience. Restaurant software equipped with capabilities such as Customer Relationship Management (CRM) and artificial intelligence can help restaurants gather customer data and preferences to provide tailored experiences. This not only enhances customer satisfaction but also fosters loyalty and repeat business, which are crucial for long-term success in the competitive restaurant industry.

Moreover, the increasing focus on data-driven decision-making is propelling the demand for restaurant software. With the advent of big data and analytics, restaurants can now harness valuable insights from their operations and customer interactions. By analyzing this data, restaurant owners and managers can make informed decisions regarding menu planning, inventory management, and marketing strategies. This shift towards data-driven management practices is expected to further fuel the adoption of restaurant software solutions in the coming years.

Regionally, North America currently dominates the restaurant software market, owing to the high adoption rate of digital technologies and the presence of major market players. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period. The rapidly growing restaurant industry in countries like China and India, coupled with increasing urbanization and disposable income, is driving the demand for advanced restaurant software solutions in the region.

Component Analysis

The restaurant software market can be segmented by component into software, hardware, and services. The software segment is expected to hold the largest market share during the forecast period. This includes various types of software such as Point of Sale (POS) systems, inventory management software, and CRM systems. The increasing need for automation and digitalization in restaurant operations is driving the demand for these software solutions. Additionally, the integration of artificial intelligence and machine learning in restaurant software is anticipated to further boost market growth.

The hardware segment, which includes devices such as POS terminals, kitchen display systems, and handheld order-taking devices, is also witnessing significant growth. The adoption of these hardware components is essential for the effective implementation of restaurant software solutions. For instance, POS terminals are crucial for processing transactions and managing sales data. The growing trend of self-service kiosks in quick-service restaurants is also contributing to the demand for advanced hardware components.

The services segment is expected to grow at a steady pace during the forecast period. This includes various services such as installation, maintenance, and support services. As restaurants increasingly adopt complex software solutions, the need for professional services to ensure smooth implementation and operation becomes paramount. Additionally, training services are also in demand to help restaurant staff effectively use new software systems, thereby maximizing their benefits.

Furthermore, the trend of Software as a Service (SaaS) is gai