We utilized Web crawling to acquire restaurant ratings from OpenTable.com, where both the overall rating and multi-criteria ratings are included. The major challenge in the process of data collection is identifying users. There are several anonymous ratings given by users. Namely, we are not able to identify a specific user or UserID from the Webpages. As a result, it is difficult to acquire dense ratings.

The OpenTable data set has been released on Kaggle.com. There are 19,536 ratings given by 1,309 users on 91 restaurants. In addition to the overall ratings, we have users' ratings on the restaurants from 4 criteria, including food quality, satisfaction of service and ambience, and the overall value of the picks. The ratings were given in the scale of 1 to 5.

Special notes: - While working on web crawling for OpenTable.com, we found that HTML resources contained users' nickname instead of UserIDs. Occasionally, anonymous reviews used a default username, such as "Unknown user." To assign UserIDs, we treated the combination of username and city as a unique user. However, for entries with the default "Unknown user" username, we assigned the same ID. This explains why you might see multiple entries with the same (user, item) pair but different ratings. - We provide the opentable_cleaned.csv file, where we removed duplicated entries and only include the last entry associated with the unique (user, item) pair

If you used our data for research, please cite the following:

@article{zheng2024opentable, title={OpenTable data with multi-criteria ratings}, author={Zheng, Yong}, journal={arXiv preprint arXiv:2501.03072}, year={2024} }

multi-criteria RS

Context

Due to the global pandemic caused by the novel coronavirus, many diverse industries have been severely impacted. Among these, bars and restaurants have been particularly affected. OpenTable is an online reservation service that has been reporting the decline in users making reservations. Analyzing the different cities, states and countries and how their reservations are changing during the pandemic may provide a unique insight in how certain areas are recovering.

Content

The data is updated daily, and can be found at https://www.opentable.com/state-of-industry. This dataset was downloaded 6/4/2020, so it contains data from 2/18/20-6/3/2020.

This is year-over-year data. As reservations may differ whether it is a weekday or weekend, 3/1/2020 is not being compared to 3/1/2019. Instead, each datapoint is a comparison to the same day of the week the previous year. Example: The number of reservations on Sunday, March 1, 2020 data is being compared to the first Sunday of March in 2019. Positive values indicate an increase in reservations from the previous year, while negative values mean a decrease in reservations. Due to COVID-19, many data are close to -100%, indicating no reservations were made during that particular day.

Acknowledgements

Thank you to OpenTable for making this data publicly available.

Traffic analytics, rankings, and competitive metrics for opentable.com as of October 2025

The state of the restaurant industry

Content

This data can help with forecasting/prediction of Covid-19 cases since it should be a proxy of activity in different countries/states/cities.

From Opentable's page:

"This data shows year-over-year seated diners at restaurants on the OpenTable network across all channels: online reservations, phone reservations, and walk-ins. For year-over-year comparisons by day, we compare to the same day of the week from the same week in the previous year. For example, we’d compare Tuesday of week 11 in 2020 to Tuesday of week 11 in 2019. Only states or cities with 50+ restaurants in the sample are included. All restaurants on the OpenTable network in either period are included."

https://www.opentable.com/state-of-industry

Acknowledgements

https://www.opentable.com/state-of-industry Copyright © 2020 OpenTable

No. of Seated Diners: % Change: Base 2019: Reopened Restaurants: Mexico data was reported at 100.000 % in 12 Mar 2023. This stayed constant from the previous number of 100.000 % for 11 Mar 2023. No. of Seated Diners: % Change: Base 2019: Reopened Restaurants: Mexico data is updated daily, averaging 86.300 % from Apr 2020 (Median) to 12 Mar 2023, with 1027 observations. The data reached an all-time high of 100.000 % in 12 Mar 2023 and a record low of 9.870 % in 01 Apr 2020. No. of Seated Diners: % Change: Base 2019: Reopened Restaurants: Mexico data remains active status in CEIC and is reported by OpenTable Inc.. The data is categorized under Global Database’s Mexico – Table OT.SD: Number of Seated Diners: % Change: Same Day of 2019: Reopened Restaurants (Discontinued). [COVID-19-IMPACT]

No. of Seated Diners: % Change: Base 2019: Reopened Restaurants: Canada data was reported at 100.000 % in 12 Mar 2023. This stayed constant from the previous number of 100.000 % for 11 Mar 2023. No. of Seated Diners: % Change: Base 2019: Reopened Restaurants: Canada data is updated daily, averaging 83.760 % from May 2020 (Median) to 12 Mar 2023, with 1022 observations. The data reached an all-time high of 100.000 % in 12 Mar 2023 and a record low of 19.120 % in 17 Apr 2021. No. of Seated Diners: % Change: Base 2019: Reopened Restaurants: Canada data remains active status in CEIC and is reported by OpenTable Inc.. The data is categorized under Global Database’s Canada – Table OT.SD: Number of Seated Diners: % Change: Same Day of 2019: Reopened Restaurants (Discontinued). [COVID-19-IMPACT]

No. of Seated Diners: % Change: Base 2019: United States: Pennsylvania: Scottsdale data was reported at 104.870 % in 12 Mar 2023. This records an increase from the previous number of 68.020 % for 11 Mar 2023. No. of Seated Diners: % Change: Base 2019: United States: Pennsylvania: Scottsdale data is updated daily, averaging 12.630 % from Feb 2020 (Median) to 12 Mar 2023, with 1119 observations. The data reached an all-time high of 128.780 % in 03 Feb 2022 and a record low of -100.000 % in 10 May 2020. No. of Seated Diners: % Change: Base 2019: United States: Pennsylvania: Scottsdale data remains active status in CEIC and is reported by OpenTable Inc.. The data is categorized under Global Database’s United States – Table OT.SD: Number of Seated Diners: % Change: Same Day of 2019 (Discontinued). [COVID-19-IMPACT]

Экономические и финансовые данные из OpenTable. Этот набор данных содержит исчерпывающую статистическую информацию, охватывающую различные аспекты экономической деятельности, финансовых рынков и показатели политики. ключевые функции: - Экономические и финансовые временные ряды - Статистические показатели - Регулярные обновления - Исторический охват данных - Стандартизированные форматы Категории данных: - Экономические показатели - Финансовые данные - Показатели политики - Статистические временные ряды Economic and financial data from OpenTable. This dataset contains comprehensive statistical information covering various aspects of economic activity, financial markets, and policy indicators. Key Features: - Economic and financial time series - Statistical indicators - Regular updates - Historical data coverage - Standardized formats Data Categories: - Economic indicators - Financial data - Policy indicators - Statistical time series

No. of Seated Diners: % Change: Base 2019: United States: Massachusetts: Denver data was reported at 165.200 % in 12 Mar 2023. This records an increase from the previous number of 115.650 % for 11 Mar 2023. No. of Seated Diners: % Change: Base 2019: United States: Massachusetts: Denver data is updated daily, averaging -17.660 % from Feb 2020 (Median) to 12 Mar 2023, with 1119 observations. The data reached an all-time high of 165.200 % in 12 Mar 2023 and a record low of -100.000 % in 26 May 2020. No. of Seated Diners: % Change: Base 2019: United States: Massachusetts: Denver data remains active status in CEIC and is reported by OpenTable Inc.. The data is categorized under Global Database’s United States – Table OT.SD: Number of Seated Diners: % Change: Same Day of 2019 (Discontinued). [COVID-19-IMPACT]

No. of Seated Diners: % Change: Base 2019: United States: Ohio: Cleveland data was reported at 117.170 % in 12 Mar 2023. This records a decrease from the previous number of 134.430 % for 11 Mar 2023. No. of Seated Diners: % Change: Base 2019: United States: Ohio: Cleveland data is updated daily, averaging -30.495 % from Nov 2020 (Median) to 12 Mar 2023, with 854 observations. The data reached an all-time high of 147.500 % in 28 Dec 2022 and a record low of -96.600 % in 25 Dec 2020. No. of Seated Diners: % Change: Base 2019: United States: Ohio: Cleveland data remains active status in CEIC and is reported by OpenTable Inc.. The data is categorized under Global Database’s United States – Table OT.SD: Number of Seated Diners: % Change: Same Day of 2019 (Discontinued).

Due to changes in the collection and availability of data on COVID-19, this website will no longer be updated. The webpage will no longer be available as of 11 May 2023. On-going, reliable sources of data for COVID-19 are available via the COVID-19 dashboard and the UKHSA GLA Covid-19 Mobility Report Since March 2020, London has seen many different levels of restrictions - including three separate lockdowns and many other tiers/levels of restrictions, as well as easing of restrictions and even measures to actively encourage people to go to work, their high streets and local restaurants. This reports gathers data from a number of sources, including google, apple, citymapper, purple wifi and opentable to assess the extent to which these levels of restrictions have translated to a reductions in Londoners' movements. The data behind the charts below come from different sources. None of these data represent a direct measure of how well people are adhering to the lockdown rules - nor do they provide an exhaustive data set. Rather, they are measures of different aspects of mobility, which together, offer an overall impression of how people Londoners are moving around the capital. The information is broken down by use of public transport, pedestrian activity, retail and leisure, and homeworking. Public Transport For the transport measures, we have included data from google, Apple, CityMapper and Transport for London. They measure different aspects of public transport usage - depending on the data source. Each of the lines in the chart below represents a percentage of a pre-pandemic baseline. activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Citymapper Citymapper mobility index 2021-09-05 Compares trips planned and trips taken within its app to a baseline of the four weeks from 6 Jan 2020 7.9% 28% 19% Google Google Mobility Report 2022-10-15 Location data shared by users of Android smartphones, compared time and duration of visits to locations to the median values on the same day of the week in the five weeks from 3 Jan 2020 20.4% 40% 27% TfL Bus Transport for London 2022-10-30 Bus journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 34% 24% TfL Tube Transport for London 2022-10-30 Tube journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 30% 21% Pedestrian activity With the data we currently have it's harder to estimate pedestrian activity and high street busyness. A few indicators can give us information on how people are making trips out of the house: activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Walking Apple Mobility Index 2021-11-09 estimates the frequency of trips made on foot compared to baselie of 13 Jan '20 22% 47% 36% Parks Google Mobility Report 2022-10-15 Frequency of trips to parks. Changes in the weather mean this varies a lot. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail & Rec Google Mobility Report 2022-10-15 Estimates frequency of trips to shops/leisure locations. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail and recreation In this section, we focus on estimated footfall to shops, restaurants, cafes, shopping centres and so on. activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Grocery/pharmacy Google Mobility Report 2022-10-15 Estimates frequency of trips to grovery shops and pharmacies. Compared to baseline of 5 weeks from 3 Jan '20 32% 55.00% 45.000% Retail/rec Google Mobility Report 2022-10-15 Estimates frequency of trips to shops/leisure locations. Compared to baseline of 5 weeks from 3 Jan '20 32% 55.00% 45.000% Restaurants OpenTable State of the Industry 2022-02-19 London restaurant bookings made through OpenTable 0% 0.17% 0.024% Home Working The Google Mobility Report estimates changes in how many people are staying at home and going to places of work compared to normal. It's difficult to translate this into exact percentages of the population, but changes back towards ‘normal' can be seen to start before any lockdown restrictions were lifted. This value gives a seven day rolling (mean) average to avoid it being distorted by weekends and bank holidays. name Source Latest Baseline Min/max value in Lockdown 1 Min/max value in Lockdown 2 Min/max value in Lockdown 3 Residential Google Mobility Report 2022-10-15 Estimates changes in how many people are staying at home for work. Compared to baseline of 5 weeks from 3 Jan '20 131% 119% 125% Workplaces Google Mobility Report 2022-10-15 Estimates changes in how many people are going to places of work. Compared to baseline of 5 weeks from 3 Jan '20 24% 54% 40% Restriction Date end_date Average Citymapper Average homeworking Work from home advised 17 Mar '20 21 Mar '20 57% 118% Schools, pubs closed 21 Mar '20 24 Mar '20 34% 119% UK enters first lockdown 24 Mar '20 10 May '20 10% 130% Some workers encouraged to return to work 10 May '20 01 Jun '20 15% 125% Schools open, small groups outside 01 Jun '20 15 Jun '20 19% 122% Non-essential businesses re-open 15 Jun '20 04 Jul '20 24% 120% Hospitality reopens 04 Jul '20 03 Aug '20 34% 115% Eat out to help out scheme begins 03 Aug '20 08 Sep '20 44% 113% Rule of 6 08 Sep '20 24 Sep '20 53% 111% 10pm Curfew 24 Sep '20 15 Oct '20 51% 112% Tier 2 (High alert) 15 Oct '20 05 Nov '20 49% 113% Second Lockdown 05 Nov '20 02 Dec '20 31% 118% Tier 2 (High alert) 02 Dec '20 19 Dec '20 45% 115% Tier 4 (Stay at home advised) 19 Dec '20 05 Jan '21 22% 124% Third Lockdown 05 Jan '21 08 Mar '21 22% 122% Roadmap 1 08 Mar '21 29 Mar '21 29% 118% Roadmap 2 29 Mar '21 12 Apr '21 36% 117% Roadmap 3 12 Apr '21 17 May '21 51% 113% Roadmap out of lockdown: Step 3 17 May '21 19 Jul '21 65% 109% Roadmap out of lockdown: Step 4 19 Jul '21 07 Nov '22 68% 107%

Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

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Property-Plant-and-Equipment-Net Time Series for Booking Holdings Inc. Booking Holdings Inc., together with its subsidiaries, provides online and traditional travel and restaurant reservations and related services in the United States, the Netherlands, and internationally. The company operates Booking.com, which offers online accommodation reservations; and Priceline, which provides discount travel reservations services, as well as online accommodation, flight, rental car reservation services, vacation packages, cruises, activity, and hotel distribution services for partners and affiliates. It also operates Agoda that offers online accommodation reservation, flight, ground transportation, and activities reservation services. In addition, the company operates KAYAK, an online meta-search service that allows consumers to search and compare travel itineraries and prices; and OpenTable for booking online restaurant reservations, as well as reservation management services to restaurants. Further, it offers travel-related insurance products and restaurant management services to consumers, travel service providers, and restaurants; and advertising services. The company was formerly known as The Priceline Group Inc. and changed its name to Booking Holdings Inc. in February 2018. Booking Holdings Inc. was founded in 1997 and is headquartered in Norwalk, Connecticut.

Change-To-Liabilities Time Series for Booking Holdings Inc. Booking Holdings Inc., together with its subsidiaries, provides online and traditional travel and restaurant reservations and related services in the United States, the Netherlands, and internationally. The company operates Booking.com, which offers online accommodation reservations; and Priceline, which provides discount travel reservations services, as well as online accommodation, flight, rental car reservation services, vacation packages, cruises, activity, and hotel distribution services for partners and affiliates. It also operates Agoda that offers online accommodation reservation, flight, ground transportation, and activities reservation services. In addition, the company operates KAYAK, an online meta-search service that allows consumers to search and compare travel itineraries and prices; and OpenTable for booking online restaurant reservations, as well as reservation management services to restaurants. Further, it offers travel-related insurance products and restaurant management services to consumers, travel service providers, and restaurants; and advertising services. The company was formerly known as The Priceline Group Inc. and changed its name to Booking Holdings Inc. in February 2018. Booking Holdings Inc. was founded in 1997 and is headquartered in Norwalk, Connecticut.

Pretax-Margin Time Series for Booking Holdings Inc. Booking Holdings Inc., together with its subsidiaries, provides online and traditional travel and restaurant reservations and related services in the United States, the Netherlands, and internationally. The company operates Booking.com, which offers online accommodation reservations; and Priceline, which provides discount travel reservations services, as well as online accommodation, flight, rental car reservation services, vacation packages, cruises, activity, and hotel distribution services for partners and affiliates. It also operates Agoda that offers online accommodation reservation, flight, ground transportation, and activities reservation services. In addition, the company operates KAYAK, an online meta-search service that allows consumers to search and compare travel itineraries and prices; and OpenTable for booking online restaurant reservations, as well as reservation management services to restaurants. Further, it offers travel-related insurance products and restaurant management services to consumers, travel service providers, and restaurants; and advertising services. The company was formerly known as The Priceline Group Inc. and changed its name to Booking Holdings Inc. in February 2018. Booking Holdings Inc. was founded in 1997 and is headquartered in Norwalk, Connecticut.

No. of Seated Diners: % Change: Base 2019: United States: Tennessee: Nashville data was reported at 227.750 % in 12 Mar 2023. This records an increase from the previous number of 116.530 % for 11 Mar 2023. No. of Seated Diners: % Change: Base 2019: United States: Tennessee: Nashville data is updated daily, averaging -3.670 % from Feb 2020 (Median) to 12 Mar 2023, with 1119 observations. The data reached an all-time high of 227.750 % in 12 Mar 2023 and a record low of -100.000 % in 10 May 2020. No. of Seated Diners: % Change: Base 2019: United States: Tennessee: Nashville data remains active status in CEIC and is reported by OpenTable Inc.. The data is categorized under Global Database’s United States – Table OT.SD: Number of Seated Diners: % Change: Same Day of 2019 (Discontinued). [COVID-19-IMPACT]

Depreciation Time Series for Booking Holdings Inc. Booking Holdings Inc., together with its subsidiaries, provides online and traditional travel and restaurant reservations and related services in the United States, the Netherlands, and internationally. The company operates Booking.com, which offers online accommodation reservations; and Priceline, which provides discount travel reservations services, as well as online accommodation, flight, rental car reservation services, vacation packages, cruises, activity, and hotel distribution services for partners and affiliates. It also operates Agoda that offers online accommodation reservation, flight, ground transportation, and activities reservation services. In addition, the company operates KAYAK, an online meta-search service that allows consumers to search and compare travel itineraries and prices; and OpenTable for booking online restaurant reservations, as well as reservation management services to restaurants. Further, it offers travel-related insurance products and restaurant management services to consumers, travel service providers, and restaurants; and advertising services. The company was formerly known as The Priceline Group Inc. and changed its name to Booking Holdings Inc. in February 2018. Booking Holdings Inc. was founded in 1997 and is headquartered in Norwalk, Connecticut.