#Scrape Deliveroo Data

[actowiz-123]

Scraping Restaurant Data from Deliveroo, Talabat, and Careem

Unlock the power of data with our comprehensive guide on scraping restaurant data from three of the most prominent food delivery platforms: Deliveroo, Talabat, and Careem.

[actowiz1]

A Guide to Scraping Restaurant Data from Deliveroo, Talabat, and Careem

Unlock the power of data with our comprehensive guide on scraping restaurant data from three of the most prominent food delivery platforms: Deliveroo, Talabat, and Careem.

know more https://medium.com/@actowiz/a-guide-to-scraping-restaurant-data-from-deliveroo-talabat-and-careem-982cec8a2c39

[foodspark-scraper]

Deliveroo Restaurant Data Scraping

Globally, millions of people are using Deliveroo daily to find out a place to eat. Deliveroo can help you decide where to get food from doesn’t matter where you are at which place. A lot of food lovers share their photos online while eating food and post reviews therefore, you want everything to use the alternatives. Do you want food databases of high quality?With our Deliveroo API and Deliveroo Restaurant Data Feeds, it’s easy to get access to well-structured Deliveroo restaurant data from multiple websites online so that you can scale up your project. Foodspark Data Extraction aids a complete list of metadata as well, and we have the QA procedure perfected for 10+ years of experience to provide high-quality Deliveroo restaurant data scraping. 

List of Data Field

Foodspark is the best restaurant data scraping company. We always offer unique, real-time, and customized data as per your business requirements. We offer updated and unique data you can depend on. Here are the data fields we can scrape: 

Business ID

Address

City

 Postal Code

Cuisines

Menu

Website

Review

Highlights

State

Scraping Food Menu Restaurants Data in Deliveroo

Extracting food menu restaurants data in Deliveroo can be a hard job to perform in case you don’t understand how to complete that. Finding manual data requires many things having enough time.

Discover the most appropriate food menu data for you

Find data, files, etc. using food menu restaurants data scraping in Deliveroo

Apply Deliveroo food menu restaurants data scraping and stay away from boring work

You can utilize our Deliveroo food menu restaurants data scraping services in various analytics for different business requirements. They are dependable as well as provide user-friendly results. 

Extracting Region-Wise Deliveroo Data

Extracting region-wise Deliveroo data might be a very hard job to do, mostly if you do not distinguish how to cope with it. Finding manual data requests require vast resources and ample time.

Assist you to get data, files, etc. utilized in restaurant foods

Find data regarding how to create different menus

Employ region-wise Deliveroo data scraping to find quicker data

With Deliveroo data scraping, it’s easy to get optimum and suitable data for you because they are having an enormous and easy-to-use database. Foodspark gives the Best Deliveroo Data Scraping Services to mine region-wise Deliveroo menu and restaurant’s location information. 

Extract Deliveroo Competitive Pricing Menu

Our Deliveroo app scraping assists in extracting data including food prices, food’s name, menu, etc. using a lot of item modifiers like add-ons, which are extremely important for various food businesses.

Defend site IPs from having blocked

Set price menu estimate methods

Regularly remove repeated data

Also, we extract site images with hidden data because this is extremely vital for businesses. Mainly, self-possessed data are so precise that you may exploit data for doing some marketing analysis. 

Item-Wise Service, Packaging, Delivery Charges, as well as Discounts

Foodspark works in many formats. You may extract data from a lot of resources reachable in diverse formats. In case you require some data points comprising text, product descriptions, pricing, reviews, or digital sources.

Get cut-price data, packaging, item-wise service, as well as delivery charges

Organize volumes and diversity in scraping diverse data volumes

Get sensitive data, which don’t make any settlements for accuracy

Prices and product data frequently alter at different intervals because of updates on standard structures or alterations in pricing to be more viable. You don’t require to lose updates because you may schedule data extraction on a daily, weekly, as well as monthly source. 

Competitive Pricing Used for Deliveroo Data Scraping

Pricing Intelligence supports businesses to take benefits of various data insights, which we’ve conversed. Once an easy-to-use software is chosen to deal with identifying the important data, extracting it online, incorporating datasets, finding quality controls, as well as providing ready-made reports or data conceptions made for special business requirements.

Improve customer’s values and market’s reach

Lowest cost to get consumer acquisition getting quick-tracking regarding market growth

Decrease the risks and also take well-versed decisions

All these quicker and easy-going answers offer you vital data insights by having a few hours and also level upscale as per your requests. Competitive Price Intelligence is having customized integrations of different apps for Deliveroo data feeds within current systems. 

Mobile App Scraping Used for Deliveroo Data

Deliveroo is a completely new way of delivering food. A lot of food owners make use of Deliveroo apps to help customers in ordering food online and also send food to the customers’ homes or offices. You may have different food delivery apps manageable in the market, which works like usual platforms among the food as well as customers.

Quick turnaround because you rely on us

Get faster support for getting quick actions

Resources for having a big-scale supply very easily

Make use of Deliveroo data scraping services for food delivery segments, you may get results having precision as well as on-time deliveries. Mobile app data scraping assists in getting product data. We scrape accurate data and also offer significant business data. 

Graphical User Interface of Food Delivery Data

Every food aggregator app has its own Graphical User Interface and at Foodspark, we provide you GUI data scraping of food delivery apps like Deliveroo. Here, we can scrape data like Home Screen, Order History, Search and Filter, Marketing Properties, Place Order, Address Alert, Order Status and Delivery Map.

Faster turnaround for GUI data scraping

Get quicker support for quick actions

Great resources for big-scale supplies easily

We also help you scrape problem solving data like Restaurant Profile, Discount Coupons, Predictive Search, Live Updates, Push Notifications, GEO Location, Reorder Data, Order Customization, and Payment Modes.

[lensnure]

Lensnure Solution provides top-notch Food delivery and Restaurant data scraping services to avail benefits of extracted food data from various Restaurant listings and Food delivery platforms such as Zomato, Uber Eats, Deliveroo, Postmates, Swiggy, delivery.com, Grubhub, Seamless, DoorDash, and much more. We help you extract valuable and large amounts of food data from your target websites using our cutting-edge data scraping techniques.

Our Food delivery data scraping services deliver real-time and dynamic data including Menu items, restaurant names, Pricing, Delivery times, Contact information, Discounts, Offers, and Locations in required file formats like CSV, JSON, XLSX, etc.

Read More: Food Delivery Data Scraping

[arctechnolabs1]

Singapore Restaurant Insights via Food App Dataset Analysis

Introduction

ArcTechnolabs provided a comprehensive Food Delivery Menu Dataset that helped the client extract detailed menu and pricing data from major food delivery platforms such as GrabFood, Foodpanda, and Deliveroo. This dataset included valuable insights into restaurant menus, pricing strategies, delivery fees, and popular dishes across different cuisine types in Singapore. The data also covered key factors like restaurant ratings and promotions, allowing the client to benchmark prices, identify trends, and create actionable insights for strategic decision-making. By extracting menu and pricing data at scale, ArcTechnolabs empowered the client to deliver high-impact market intelligence to the F&B industry.

Client Overview

A Singapore-based market intelligence firm partnered with ArcTechnolabs to analyze over 5,000 restaurants across the island. Their goal was to extract strategic insights from top food delivery platforms like GrabFood, Foodpanda, and Deliveroo—focusing on menu pricing, cuisine trends, delivery coverage, and customer ratings. They planned to use the insights to support restaurant chains, investors, and FMCG brands targeting the $1B+ Singapore online food delivery market.

The Challenge

The client encountered several data-related challenges, including fragmented listings across platforms, where the same restaurant had different menus and prices. There was no unified data source available to benchmark cuisine pricing or delivery charges. Additionally, inconsistent tagging for cuisines, promotions, and outlets created difficulties in standardization. The client also faced challenges in extracting food item pricing at scale and needed to perform detailed analysis by location, cuisine type, and restaurant rating. These obstacles highlighted the need for a structured and reliable dataset to overcome the fragmentation and enable accurate insights.They turned to ArcTechnolabs for a structured, ready-to-analyze dataset covering Singapore’s entire food delivery landscape.

ArcTechnolabs Solution:

ArcTechnolabs built a custom dataset using data scraped from:

GrabFood Singapore

Foodpanda Singapore

Deliveroo SG

The dataset captured details for 5,000+ restaurants, normalized for comparison and analytics.

Sample Dataset Extract

Client Testimonial

"ArcTechnolabs delivered exactly what we needed—structured, granular, and high-quality restaurant data across Singapore’s top food delivery apps. Their ability to normalize cuisine categories, menu pricing, and delivery metrics helped us drastically cut down report turnaround time. With their support, we expanded our client base and began offering zonal insights and cuisine benchmarks no one else in the market had. The quality, speed, and support were outstanding. We now rely on their weekly datasets to power everything from investor reports to competitive pricing models."

— Director of Research & Analytics, Singapore Market Intelligence Firm

Conclusion

ArcTechnolabs enabled a market intelligence firm to transform fragmented food delivery data into structured insights—analyzing over 5,000 restaurants across Singapore. With access to a high-quality, ready-to-analyze dataset, the client unlocked new revenue streams, faster reports, and higher customer value through data-driven F&B decision-making.

Source >> https://www.arctechnolabs.com/singapore-food-app-dataset-restaurant-analysis.php

[iwebdatascrape]

How To Scrape Deliveroo, Talabat, And Careem Restaurant Data For Business Growth

Efficiently scrape Deliveroo, Talabat, and Careem restaurant data for market insights. Analyze menus, pricing, reviews, and trends to fuel business growth and competitiveness.

Know More: https://www.iwebdatascraping.com/scrape-deliveroo-talabat-and-careem-restaurant-data.php

[fooddatascraping]

Deliveroo Restaurant Data Extraction | Scrape Deliveroo Restaurant Data

Use Deliveroo Restaurant data extraction services in the USA, Germany, India, UAE, Spain, Singapore, Canada, Philippines, and China to Scrape restaurant data, including locations, mentions, menus, reviews, etc., with no problem.

[actowiz-123]

Scraping Restaurant Data from Deliveroo, Talabat, and Careem

Unlock the power of data with our comprehensive guide on scraping restaurant data from three of the most prominent food delivery platforms: Deliveroo, Talabat, and Careem.

[fooddatascrape]

Use Deliveroo Restaurant data extraction services in the USA, Germany, India, UAE, Spain, Singapore, Philippines, and China to Scrape restaurant data, including locations, mentions, menus, reviews, etc., with no problem. Please let us know your needs, and our team will provide the necessary data. Deliveroo Restaurant Data Scraping  

Millions of people use Deliveroo every day to find the best dining place. Deliveroo helps you choose where to find food, no matter which is your place. Many food lovers also share photos online when eating food or post reviews. Do you need high-quality food databases?With our valuable Deliveroo data feeds, you can easily find access to organized Deliveroo restaurant food data from different websites so that you can scale up the project. Food restaurant data extraction provides a whole listing of metadata, and we follow the QA process made from 3+ years of expertise to offer quality Deliveroo data scraping service.Food Data Scrape is the top Deliveroo restaurant data extraction company. We offer real-time, unique, custom-made data according to your business needs. We provide unique and updated data you can rely on.

https://www.fooddatascrape.com/deliveroo-restaurant-data-scraping.php

[fooddatascrape1]

How to Scrape Uber Eats, Menulog, and Deliveroo Food Delivery Data with Keywords

How to Scrape Uber Eats, Menulog, and Deliveroo Food Delivery Data with Keywords

How To Scrape Uber Eats, Menulog, And Deliveroo Food Delivery Data With Keywords

With the internet penetration and rising sales of smartphones, people nowadays prefer to shop online over traditional shopping. The hectic and busy work schedule has given them a reason to order food online rather than cook themselves. And food industry is no such exception. In 2019, the organized food market comprising restaurants was worth $22 billion. Out of which, online food delivery made up about 15%. In 2020, India’s online food delivery market was approximately $5 billion. At the same time, the Australian industry has reached up to $850 million. However, the coronavirus pandemic took a fast-growing ecosphere of food delivery apps and expects to reach about $21 billion by 2026 at a CAGR of about 30%.

The prominent food delivery market leaders that have marked great success are Uber Eats, Menulog, and Deliveroo. If you, too, are in the food delivery business, it is crucial to understand their strategies to stay competitive. Scrape Uber Eats, Menulog, and Deliveroo Food delivery data with keywords to get invaluable data effective for your business. And here comes why you must choose food mobile app scraping.

About Uber Eats

Uber Eats is an online food ordering and delivery platform launched in 2014 by Uber. This food delivery platform helps customers easily order desired food and cuisines from their favorite local restaurants. The app connects customers with a broad range of local restaurants to order food from the complete menu of your local favorites whenever they want. Scrape Uber Eats restaurant data for different data fields, including food names, menus, pricing, locations served, etc.

About Menulog

Menulog is an app-based food delivery platform that offers Australians a wide range of choices for restaurants and cuisines across the country. The company was founded in 2006 in Sydney and connected millions of active customers with over 35,000 local restaurants over websites and mobile apps. The company offers delivery choices, collection or pick up, catering orders, etc. Scrape Menulog restaurant data to understand how this company is witnessing success in food ordering and delivery.

About Deliveroo

Deliveroo is a well-known British online food delivery company incepted in the year 2013 in London, England. Will Shu and Greg Orlowski founded it. It operates in nearly 200 cities, including Belgium, France, the UK, Italy, Ireland, Singapore, UAE, and Hong Kong. In 2022, the company launched an advertising platform to allow the business to promote products across its app. Deliveroo operates with large chain restaurants across the UK and thousands of independent restaurants. Loaded with complete information, it is better to scrape Deliveroo restaurant data to get multiple data fields to stay competitive in the food delivery business market. If you are looking for a reliable solution provider, choose Food Data Scrape for the best and most reliable Deliveroo restaurant data scraping services.

List of Important Data Fields from Uber Eats, Menulog, and Deliveroo

Importance of Scraping UberEats, Menulog, and Deliveroo Restaurants and Menu Data

Following are some of the ways that you can use scraped restaurant and menu data to boost your business

Track Restaurants: If you are already in the restaurant business or planning to start, it is essential to understand your competitors. By scraping Uber Eats restaurants and menu data, you can track the number of restaurants opened in a specific locality, their working hours, the type of cuisines they offer, and more. This data will help to improve your business and offerings.

Discounts or Pricing: Pricing is one of the crucial factors when it comes to staying competitive. Scraping Menulog restaurants and menu data will help you understand competitors’ pricing strategies and implement the same for yourself.

Ratings & Reviews: Customers rate the restaurants and write reviews about their experience. These reviews consist of several vital pieces of information for lead generation. Scrape Deliveroo restaurants and menu data to know the customers’ sentiments and tastes. Strategize your business as per the customer's need.

Opening Hours: Scraping the restaurant's opening hours will give you an idea about the number of restaurants working late at night, 24 hours, and more. The restaurant data scraping services will help analyze which chain offers early breakfast or late-night deliveries.

Why Scrape Uber Eats, Menulog, and Deliveroo Food delivery data with Keywords?

Food Data Scrape offers the best online food delivery data scraping services to scrape Uber eats, Menulog, Deliveroo, etc., with on-time delivery. The company assists in extracting urate data and offers all the necessary business information. The company helps find data like pricing, product details, features, quotations, and more.

Scrape Uber Eats, Menulog, and Deliveroo Restaurants Data Using Code

Here we will take the example of Uber Eats to explain the scraping methods using code. We will find all restaurants on Uber Eats available in Burlington. We are using Python and Beautiful Soup4. Let’s start the process.

Install using pip library and run.pip install beautifulsoup4

Now, import it into your program using the following:from bs4 import BeautifulSouppip install beautifulsoup4

Now, we are all set to extract our desired data. Right-click on the restaurant name and then click Inspect. The source code will pop up having the tags of each element.

After right-clicking on Taco Bell (777 Guelph Line), hit inspect. We will get a line.< h3 class="h3 c4 c5 ai">Taco Bell (777 Guelph Line)< /h3 >

Thus, you can perform Menulog and Deliveroo restaurant data scraping similarly, with a slight keyword change.

For more information, contact Food Data Scrape now! You can also reach us for all your Food Data Scraping and Mobile Grocery App Scraping requirements.

Know more :

[arctechnolabs1]

Restaurant Trend Analysis with Food Delivery Data | ArcTechnolabs

Introduction

Food delivery isn’t just about convenience anymore—it’s a data goldmine. In fast-paced markets like the UAE and Singapore, food delivery platforms serve as real-time mirrors of restaurant performance, cuisine trends, pricing models, and consumer preferences.

ArcTechnolabs brings powerful visibility into this ecosystem with ready-made datasets scraped from top platforms such as Talabat, Deliveroo, Zomato, Careem NOW (UAE), GrabFood, and Foodpanda (Singapore).

If you're building a restaurant analytics platform, benchmarking food delivery pricing, or launching a virtual kitchen, our datasets deliver instant, structured, and geo-tagged intelligence.

Why UAE and Singapore?

UAE: Burgeoning QSR chains, cloud kitchen boom, and highly competitive platforms like Talabat and Zomato.

Singapore: Tech-savvy urban population, high delivery frequency, and GrabFood/Foodpanda dominance.

Both countries represent a gold standard for online ordering behavior and digital F&B operations.

What ArcTechnolabs Provides

ArcTechnolabs delivers structured, high-quality datasets extracted from leading food delivery platforms. These datasets include the following key attributes:

-Restaurant Name: The exact listing name as it appears on food delivery platforms. -Cuisine Type: Cuisine categories such as Chinese, Indian, Fast Food, Arabic, etc. -Item Names: Menu items with details including portion size. -Item Prices: Both original and discounted prices. -Delivery Fee: Platform-specific delivery charges. -Ratings: Average customer rating along with total review count. -Delivery Time Estimate: Estimated delivery time as shown on the platform (e.g., 30–40 minutes). -Offer/Discount: Promotional offers such as percentage discounts, coupons, and bundle deals. -Scraped From: Platforms including Zomato, GrabFood, Deliveroo, Talabat, Foodpanda, and others.

Sample Dataset – UAE (Talabat + Zomato)

Restaurant: Al Baik Express

Cuisine: Arabic

Item: Chicken Broast

Price: AED 25.00

Rating: 4.5

Estimated Delivery Time: 30–40 minutes

Restaurant: Burgerizzr

Cuisine: Fast Food

Item: Double Burger

Price: AED 32.00

Rating: 4.3

Estimated Delivery Time: 20–30 minutes

Sample Dataset – Singapore (GrabFood + Foodpanda)

Restaurant: Boon Tong Kee

Cuisine: Chinese

Item: Steamed Chicken

Price: SGD 12.80

Rating: 4.6

Estimated Delivery Time: 25–35 minutes

Restaurant: Crave Nasi Lemak

Cuisine: Malay

Item: Chicken Wing Set

Price: SGD 9.90

Rating: 4.4

Estimated Delivery Time: 20–25 minutes

Use Cases for Food Delivery Data

1. Restaurant Trend Forecasting

Track top-performing cuisines, trending dishes, and delivery frequency by city.

2. Competitor Pricing Analysis

Compare QSR pricing across cities/platforms to optimize your own.

3. Virtual Kitchen Strategy

Use delivery times, cuisine gaps, and demand signals to plan kitchen placement.

4. Franchise Expansion Feasibility

Measure brand performance before launching in new areas.

5. Offer Performance Tracking

Analyze how discount combos affect order ratings and visibility.

How ArcTechnolabs Builds These Datasets

Platform Selection: We target top food delivery apps across UAE and Singapore.

Geo-Based Filtering: Listings are segmented by city, area, and delivery radius.

Smart Scraping Engines: Handle pagination, time delays, JavaScript rendering.

Normalization: Menu names, price formatting, cuisine tagging, and duplication removal.

Delivery ETA Tracking: Extract exact delivery time estimates across dayparts.

Data Refresh Options

ArcTechnolabs offers flexible data refresh options to match your operational or analytical needs:

Hourly Updates

Channel: API or JSON feed

Format: Real-time data access

Daily Updates

Channel: Email delivery or direct download

Format: CSV or Excel

Weekly Trend Reports

Channel: Shared via email or Google Drive

Format: Summary reports with key insights

Target Cities ArcTechnolabs focuses on high-demand urban areas for precise, city-level analysis.

UAE:

Dubai

Abu Dhabi

Sharjah

Ajman

Al Ain

Singapore:

Central

Tampines

Jurong

Bukit Batok

Ang Mo Kio

Customization Options You can tailor your dataset to meet specific business goals or research parameters. Customization options include:

Cuisine Filter: Focus on select cuisines such as Indian, Arabic, or Chinese.

Platform Filter: Limit data to a specific platform like Talabat or GrabFood.

Time of Day: Filter listings by lunch, dinner, or early morning availability.

Restaurant Type: Choose data only from cloud kitchens or dine-in restaurants.

Discount Status: Include only restaurants currently offering deals or promotions.

Benefits of ArcTechnolabs’ Pre-Scraped Datasets

Fast deployment

City-wise trend segmentation

Competitor menu benchmarks

Multi-platform support

Clean & normalized structure

Get Started in 3 Steps

Request your sample dataset

Choose your region, platform & cuisine focus

Start receiving insights via API or scheduled exports

Visit ArcTechnolabs.com to request a demo or consultation.

Conclusion

The future of food delivery is data-driven. Whether you're analyzing dish popularity, price competitiveness, or delivery performance— ArcTechnolabs equips you with plug-and-play food delivery datasets that transform static restaurant listings into live market intelligence.

Get smart. Get fast. Get food trend insights—powered by ArcTechnolabs.

Source >> https://www.arctechnolabs.com/restaurant-trends-with-food-delivery-dataset.php

[techcrunchappcom]

New Post has been published on https://techcrunchapp.com/the-latest-france-sees-drop-in-covid-19-hospitalizations-national-news/

The Latest: France sees drop in COVID-19 hospitalizations | National News

PARIS — The number of coronavirus patients hospitalized in France dropped this weekend for this first time since September, after two weeks of new nationwide lockdown measures aimed at slowing surging infections and easing hospital strains.

The number of COVID-19 patients in intensive care also fell for the first time in six weeks, according to figures released Saturday night, though virus patients still occupy 96% of France’s standard ICU beds.

The number of weekly infections per 100,000 people in France has now been falling for 14 straight days, and some doctors say they’re starting to see signs of relief in over-stretched ICUs.

But it remains too early to say whether the one-day drop in hospital numbers means France has hit the peak in this second surge of the pandemic.

France has reported more virus infections than any European country and has had 44,246 virus-related deaths. The government imposed a nationwide partial lockdown starting Oct. 30 as the second surge hit and could start easing the measures Dec. 1 if the number of virus patients in hospitals shows consistent decline.

———

HERE’S WHAT YOU NEED TO KNOW ABOUT THE VIRUS OUTBREAK:

— Second round of lockdowns brings misery for Europe’s Michelin-rated chefs

— President-elect Joe Biden faces tough choice of whether to back virus lockdowns

— Mexico reaches 1 million virus cases, nears 100,000 deaths

— French doctors use their experience t o improve treatments for COVID-19 patients

— San Diego restaurants, gyms sue for right to operate indoors despite pandemic

———

Follow AP’s coverage at https://apnews.com/hub/coronavirus-pandemic and https://apnews.com/UnderstandingtheOutbreak

———

HERE’S WHAT ELSE IS HAPPENING:

COLOMBO, Sri Lanka — Authorities in Sri Lanka say about 400 inmates from the country’s highly-congested prisons have tested positive for COVID-19 as infected cases are surging in the capital and its suburbs.

Twelve of the 400 are prison officers while the rest are inmates. The cases are detected from five prisons in different parts of the country.

Sri Lankan prisons are highly congested with more than 26,000 inmates crowded in facilities designed to hold about 10,000.

Sri Lanka has seen a fresh outbreak of the disease since last month when two clusters — one centered on a garment factory and other on the fish market — emerged in Colombo and its suburbs. Confirmed cases from just those two clusters have grown by Sunday to 13,079 people.

Sri Lanka’s total number of positive cases reached 16,582 on Sunday with 53 fatalities.

———

ANTWERP, Belgium — Many a three-star Michelin meal has been put into a takeout box and sent out on Deliveroo scooters, as renowned chefs in Belgium and elsewhere try to scrape through a second pandemic lockdown that is likely to threaten even the lucrative Christmas season.

Sergio Herman, who has run three-star, two-star and many other establishments that have wowed the Michelin powers and the most refined palates around the world, doesn’t really see any positives to come out of working amid the pandemic.

“Sometimes you feel that whatever you built up over the years is slipping like sand through your fingers. It gives you this kind of fear,” he told The Associated Press.

Across much of Europe, exclusive restaurants have lost the precious appeal of the luxury dining experience — from eating several inventive courses, to basking in sommelier tastings, to savoring the after-dinner sweet and having that little extra chat with the chef.

“All that cannot just be replaced by a box and a plastic tray. That is just impossible,” Herman said amid the whirl of his new restaurant, Le Pristine, in the Belgian port of Antwerp.

———

NEW DELHI — India has reported 41,100 new cases of coronavirus in the past 24 hours, taking the country’s overall tally since the pandemic began to 8.79 million.

The Health Ministry on Sunday also reported 447 deaths in the same period, driving total fatalities to 129,635.

India is second in the world in total reported cases behind the U.S., but daily infections have been on the decline since the middle of September. There has been, however, a resurgence of infections in New Delhi, which has seen a renewed surge in recent weeks, recording more new cases than any other Indian state.

On Sunday, New Delhi registered 7,340 new coronavirus cases, including 96 deaths.

———

SEATTLE — Washington Gov. Jay Inslee has scheduled a news conference for Sunday morning as COVID-19 case numbers soar throughout the Pacific Northwest where he will reportedly detail new restrictions.

Inslee’s office said he would discuss actions to combat the crisis but offered no details. The Seattle Times reports that among Inslee’s announcements will be a ban on indoor service at restaurants and bars and significantly reduced capacity at grocery stores and retail shops.

The newspaper cited industry officials briefed by Inslee’s staff. The Democratic governor will also prohibit all indoor social gatherings. And Inslee will reportedly limit grocery stores and retailers to 25% occupancy.

———

HARTFORD, Conn. — Connecticut’s two U.S. senators were self-isolating Saturday after a member of Democratic Gov. Ned Lamont’s staff tested positive for COVID-19.

Richard Blumenthal and Chris Murphy each tweeted Saturday that they had not had close contact with the staffer but were taking the step out of an abundance of caution.

Lamont’s chief spokesperson, Max Reiss, identified himself as the senior staff member who had tested positive in a release posted to Twitter on Friday. Reiss wrote he wasn’t sure how or where he had contracted the virus.

Murphy tweeted Saturday that he had “attended an event yesterday with the Governor but was not in close contact with the staff member who tested positive. Out of an abundance of caution, though, I am isolating until I get tested and consult with the Office of Attending Physician Monday morning.”

Blumenthal tweeted Saturday afternoon that he had “just returned from being tested myself and am currently self-isolating.”

———

CARSON CITY, Nev. — Nevada has reported a record number of new confirmed cases of the coronavirus for the second day in a row amid warnings from Gov. Steve Sisolak that the state is at a “critical juncture.”

Sisolak implored residents to stay home and do what they can to protect themselves a day after he announced he had tested positive for COVID-19. Sisolak told reporters on Friday that he wasn’t feeling any symptoms and would enter a quarantine.

Nevada reported 2,269 new cases and 15 additional deaths on Saturday, topping the record of 1,857 new cases set Friday.

Sisolak warned Nevadans earlier in the week that if the state fails to slow the spread of the virus within two weeks, he will be forced to reimplement stricter measures.

———

NEW YORK — Students, parents and teachers are continuing to anxiously watch New York City’s coronavirus test results. The latest figures Saturday fell under the city’s threshold for shutting down school buildings, but the mayor warned that the city was at a “crucial” point in fighting the virus’ resurgence.

Mayor Bill de Blasio cautioned parents and teachers Friday to plan for a potential school shutdown as soon as Monday, saying the city could cross its deciding line — 3% of coronavirus tests citywide coming back positive over a seven-day period — over the weekend.

The rate stayed short of that on Saturday, at 2.47%, he said.

“But that could change,” the Democratic mayor tweeted, warning that the city was facing “a critical weekend” in combating the pandemic.

New York City has the United States’ largest public school system, with more than 1 million students. It became one of few big cities to reopen classrooms this fall after the pandemic forced schools online in the spring, though families had the option of continuing all-remote learning this fall.

About 280,000 students have attended in person, far fewer than the city originally expected.

———

ATHENS, Greece — Deaths from the coronavirus have topped 1,000 in Greece, and authorities say that over half occurred since Oct. 18.

The Greek government has decided to shut down elementary schools, kindergartens and day care centers for two weeks starting Monday. Children will be schooled at home, as is already happening with high school and university students.

Authorities have stepped up enforcement of a 9 p.m. – 5 a.m. curfew, including by making arrests.

Two foreign exchange students who hosted an after-hours party at their apartment in the northern city of Thessaloniki were arrested Friday and fined 3,000 euros ($3,550) each on the spot. The 24-year-old Palestinian man and 21-year-old woman from France received also suspended prison sentences of 2 years and two months on Saturday.

Their 15 party guests, all university students from western Europe, were fined 300 euros ($355) each but not arrested.

———

BALTIMORE — The number of people testing positive for the coronavirus has soared to a new daily high in the United States.

Data from Johns Hopkins University indicates the number of confirmed cases reached 184,514 on Friday, as the number of people infected continues to surge.

The Johns Hopkins data shows the seven-day rolling average for virus-related deaths reported daily in the U.S. rose over the past two weeks from about 828 on Oct. 30 to 1,047 on Friday, an increase of about 26%

The seven-day rolling positivity rate also rose over the past two weeks from 6.4 to 9.6, an increase of about 50%, even as the number of tests performed has grown.

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