#Deliveroo Restaurant Data Extraction

[3idatascraping]

The Deliveroo API offers a seamless solution for Extracting Restaurant Data to drive valuable business insights. With effortless integration, businesses can access a wealth of information, including menus, customer reviews, and order statistics. By leveraging this API, businesses can make data-driven decisions, optimize operations, and gain a competitive edge in the food delivery industry.

[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

[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

[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.

[iwebdatascrape]

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

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

Restaurant data scraping enables businesses to gain a competitive edge by accessing real-time information about menu offerings, pricing, and customer reviews from many dining establishments. This valuable data can inform marketing strategies, help identify trends, and optimize menu pricing. Food delivery platforms rely on restaurant data scraping to maintain accurate listings and improve user experiences. Researchers and food enthusiasts benefit from the information available for market analysis and discovering new culinary experiences.

List of Data Fields

Restaurant Name

Location

Contact Details

Operating Hours

Menu Items

Pricing

Ratings

Customer Reviews

Order Details

Reviews

Price Changes

Deliveroo: Deliveroo is a prominent food delivery and online food ordering company operating in multiple countries across the globe. Founded in 2013, it has become a leading platform connecting customers with various restaurant options. Deliveroo's innovative technology and vast network of partner restaurants offer convenient, on-demand food delivery services. Customers can order from local eateries, and riders swiftly deliver meals to their doorstep. Deliveroo's presence has revolutionized food delivery, providing consumers with easy access to diverse culinary choices and contributing to the gig economy's growth. Scrape Deliveroo food delivery data to access critical details such as restaurant menus, pricing, and customer reviews. This data can be instrumental in market analysis, helping businesses make informed decisions and stay competitive.

Talabat: Talabat is a prominent online food delivery and ordering platform serving the Middle East and North Africa (MENA) region. Established in 2004, Talabat has become one of the most extensive food delivery services in the MENA market. It connects users with various restaurants, offering convenient ordering and quick delivery of meals. Talabat's user-friendly app and website provide customers with easy access to diverse cuisines, contributing to the region's evolving food delivery landscape. Scrape Talabat food delivery data to gain insights into restaurant offerings, pricing, and customer reviews. This information can be valuable for market research, understanding customer preferences, and identifying trends in the food delivery industry. By scraping Talabat data, businesses and researchers can optimize their strategies and offerings, ensuring they meet customer demands effectively.

Careem: Careem is a ride-hailing and mobility company operating primarily in the Middle East and North Africa (MENA) region. Founded in 2012, it quickly gained popularity as a leading ride-sharing service, offering transportation solutions to millions of users. In 2019 Uber acquired Careem, allowing it to continue as an independent brand. Careem expanded its services to include ride-hailing, food delivery, and digital payments, contributing significantly to the advancement of technology and mobility in the MENA region. Scrape Careem food delivery data to access valuable information about menu offerings, restaurant partnerships, pricing, and delivery areas. This data can aid in market research, competitor analysis, and optimizing your food delivery services, providing insights into customer preferences and restaurant trends in your target region.

Why Scrape Food Delivery Platforms?

Data extraction from food delivery platforms involves gathering substantial information from specific apps and websites, a practice particularly relevant in the competitive landscape of restaurants and food delivery platforms. To thrive in this industry, quick access to data is crucial. Details like food preparation times and delivery routes can optimize services and enhance profitability.

The extracted data from these platforms serves multiple purposes, making it worthwhile to consider scraping food delivery app data. Here are some compelling reasons:

Enhanced Customer Experience: Food delivery platforms have become go-to options for customers, especially in light of pandemic restrictions. This trend continues, and customers prefer the safety of home dining. Access to scraped data can help improve the overall customer experience.

Discover New Menu Trends: Scraping restaurant data from various food delivery apps is an efficient way to stay updated on the latest culinary offerings. Continuous scraping can reveal new cuisine types and innovative dishes in your area, enabling restaurants to attract a broader customer base.

Pricing Strategies and Marketing Insights: Effective menu pricing is crucial for restaurant success. By scraping food delivery data, you can gain insights into competitor pricing strategies, helping you adjust your pricing to remain competitive. You can also analyze marketing strategies and promotions.

Customer Reviews and Ratings: Customer reviews and ratings on food delivery apps provide valuable insights into the quality of food and service at various restaurants. Scrape Deliveroo, Talabat, and Careem restaurant data to help competitors identify areas for improvement and enhance the quality of their offerings.

Comprehensive Local Restaurant Overview: A thorough understanding of local restaurants is essential for those looking to open new restaurants or expand their existing business. Scraped data can offer insights into the operations of restaurants already established in the area, aiding in business planning and growth strategies.

In a competitive food industry, data extraction from food delivery platforms becomes valuable for staying ahead and meeting customer demands effectively.

Role of Data Scraped from Deliveroo, Talabat, and Careem

Data scraped from Deliveroo, Talabat, and Careem plays a significant role in various aspects of the food delivery and ride-hailing industries. Here's an overview of the roles and applications of scraped data from these platforms:

Market Research and Analysis:

Data extracted from these platforms using restaurant data scraping services provides valuable insights into market trends, consumer behavior, and competitor strategies.

Businesses can use this data to identify opportunities, assess demand for specific cuisines, and make data-driven decisions.

Competitor Analysis:

Analyzing restaurant listings, pricing strategies, and customer reviews with food delivery data scraper allows businesses to understand their competitors' strengths and weaknesses.

This information aids in fine-tuning marketing and pricing strategies to stay competitive.

Menu Optimization:

Menu data from these platforms helps restaurants and food delivery services optimize their offerings.

Restaurants can identify and add popular dishes to their menus to attract more customers.

Pricing Strategies:

Pricing data assists businesses in setting competitive prices for their products and services.

Monitoring price changes and promotions on these platforms helps adjust pricing strategies.

Customer Insights:

Customer reviews and ratings provide insights into customer preferences and satisfaction levels.

Businesses can use this information to improve the quality of their offerings and enhance the customer experience.

Marketing and Promotions:

Information on promotions, discounts, and special offers helps businesses design effective marketing campaigns.

Targeted marketing can attract more customers and increase sales.

Route Optimization:

Data on delivery routes and driver information from ride-hailing platforms like Careem can optimize delivery processes.

Businesses can reduce delivery times and improve efficiency.

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

[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

[foodspark-scraper]

Unlocking Business Insights: Deliveroo Restaurant Data Scraping

In today's digitally driven world, data has become a valuable asset for businesses looking to gain a competitive edge. Deliveroo, one of the leading food delivery platforms globally, hosts a wealth of restaurant data that can provide valuable insights for both existing restaurants and entrepreneurs looking to enter the food delivery market. In this article, we explore the benefits and methods of scraping Deliveroo restaurant data for business insights.

The Value of Deliveroo Restaurant Data

Deliveroo's platform contains a trove of information about restaurants, their menus, pricing, customer reviews, and geographic locations. Accessing and analyzing this data can offer several advantages for businesses:

Competitor Analysis: By examining the data of competing restaurants, businesses can gain insights into their menus, pricing strategies, and customer reviews. This information can help identify gaps in the market and areas for improvement.

Market Trends: Tracking data over time can reveal emerging food trends and customer preferences. This knowledge can guide menu adjustments and marketing efforts to align with current consumer demands.

Pricing Strategy: Analyzing menu item pricing across different restaurants can help businesses set competitive prices and adjust them in real-time to stay competitive.

Customer Insights: Scrutinizing customer reviews can provide valuable feedback on what customers like and dislike about various restaurants. This feedback can inform menu changes and enhance the overall customer experience.

Location Strategy: Data on restaurant locations and delivery areas can assist businesses in making informed decisions about where to open new locations or expand delivery services.

Scraping Deliveroo Restaurant Data: Methods and Considerations

To scrape Deliveroo restaurant data for business insights, one can follow these steps:

Authorization: Start by obtaining proper authorization from Deliveroo to access their data. This often involves registering your application and receiving an API key or utilizing web scraping techniques that comply with Deliveroo's terms of service.

Data Sources: Determine the specific data sources you need, such as restaurant details, menu items, pricing, customer reviews, and geographical data. Different web scraping tools and scripts may be required to extract each type of data.

Web Scraping Tools: Use web scraping tools, libraries, or scripts to extract data from Deliveroo's website. Python libraries like BeautifulSoup and Scrapy are commonly used for web scraping.

Data Cleansing: After scraping the data, it may require cleaning and structuring to make it usable for analysis. This can involve removing duplicates, formatting, and transforming data into a consistent format.

Data Storage: Decide where and how you will store the scraped data. It can be stored in databases, spreadsheets, or cloud-based storage systems.

Data Analysis: Utilize data analysis tools and techniques to gain actionable insights from the scraped data. Visualization tools can help in presenting findings clearly.

Ethical Considerations: Ensure that your web scraping activities comply with Deliveroo's terms of service and respect legal and ethical standards related to data privacy.

Scraping Frequency: Keep in mind that web scraping should be done responsibly and not excessively to avoid overloading Deliveroo's servers or violating their terms of use.

Conclusion

Scraping Deliveroo restaurant data can be a valuable strategy for businesses in the food delivery industry. It provides a wealth of information that can inform decisions related to menu optimization, pricing strategies, location planning, and customer satisfaction. However, it's crucial to approach data scraping ethically and within the bounds of legal and platform-specific terms of service. With the right data and analysis, businesses can unlock valuable insights to stay competitive and meet customer demands effectively in the dynamic world of food delivery.

[coopdigitalnewsletter]

8 July 2020: Goats on Zoom. Pubs can track and trace.

Hello, this is the Co-op Digital newsletter - it looks at what's happening in the internet/digital world and how it's relevant to the Co-op, to retail businesses, and most importantly to people, communities and society. Thank you for reading - send ideas and feedback to @rod on Twitter. Please tell a friend about it!

[Image: Goat-2-meeting]

Goats on Zoom and waving goodbye

Why we can't stop waving at the end of video calls - we’re over-performing the social cues of conversation closure because we feel that just closing a browser tab is ambiguous or abrupt. This is just one of many ways that video calling is uncomfortable:

It’s harder to pick up on social cues. You’re looking at your own face. Others are dropping in and out of the call. You’re doing the “Can you hear me? No I think your mic is off” dance. You can’t see if your boss agrees with what you’re saying because the video makes her look like an impressionist painting. All of this makes video calls exhausting. You could say that video calls come with an unexpectedly large “cost of communication”. 

If you’d like your calls to be more fun here’s an enterprising Lancashire farm that’ll have a goat participate in your Zoom call. The income has helped them keep staff on and will go toward renewable energy. “The goats are savvy in Microsoft teams, Webex, Blue Jeans, Skype, Google Hangouts, Jitsi, Go To Meeting and pretty much all other video platforms from which you can send a call invite link”, though the newsletter is confident that the goats don’t enjoy Webex. 

#startupidea: if you’d pay £6 to have a goat join your video call for a laugh, what would you pay to have an owl join it so you didn’t need to be in the meeting at all? More, surely! (In Silicon Valley a brief goat-2-meeting costs $100!)

Also: Fujitsu announces permanent work-from-home plan - "unprecedented flexibility" to 80,000 workers in Japan. Work is going remote-friendly if not quite remote-first.

If you miss the office, you can put its soothing tones on in the background: I miss the office.

Pubs will track and trace

Pubs are reopening in England. Fancy a pint? You might need an app for that. UKGov suggested that pubs should record personal details of customers to help track and trace efforts if there were any outbreaks. But there are obvious concerns around privacy and public health: you’d guess that record keeping, data accuracy and access to data are all going to be difficult or uncertain in a pub.

On the other hand, pubs seem to be doing a pretty good job running an informal track and trace service!: “Lighthouse had contacted about 100 customers before NHS Test and Trace had been in touch with management”.

Primark down 75%: retail winners and losers 

The virus lockdown has had uneven effects on retail. Obviously online has done well. Also “essential” sectors like supermarkets, though there increased sales offline have been counter balanced by increased virus costs (staffing, social distancing measures etc). And of course many businesses have raced to add online shopping: 85,000 businesses launch online shops as B2C and B2B ecommerce surge in lockdown.

Those who’ve struggled are “non-essential” sectors and those that rely on customer proximity: pubs, cafes, offline-only retail etc. Primark sales are down 75% in most recent quarter - this is the lockdown effect because Primark doesn’t sell online.

Ghost kitchens

“Ghost kitchens” have been around for a few years - these are restaurants with no seating: a smaller building in a cheaper location prepares the same number of meals, all for delivery. In 2018 Deliveroo was setting up delivery-only kitchens for restaurants:

A “ghost restaurant” is one that makes food solely for delivery customers - you can’t go to one and get a table. That’s the US term - in the UK they’re called “dark kitchens”. Deliveroo Editions is dark-kitchens-as-a-service: Deliveroo provides them to existing food brands. For larger restaurant operators, dark kitchens can load balance the peak times. For small ones, the kitchens can test demand in a new location without the capital investment in property: “The property requirement is data driven. Deliveroo know exactly where their customers are, the amount they spend, the frequency at which they order and the types of cuisine that are most popular in an area. From the fledgling operator’s perspective, this can lower the risk of venturing into uncharted territories and drive sales up as much as 400%.”

What if this idea was expanded out into high-street-as-a-service? Could you have a high street without a retail shopfront? Or a shopfront with no stock? The internet and logistics have made it possible to separate the point of product discovery from the purchase from the inventory from the delivery/handover. And these points can be recombined in many different ways. IKEA’s warehouse, Argos’s front/back of store, Deliveroo, Amazon’s many forms - all possible variations.

And in the virustimes of 2020, the ghost kitchens are doing well. They now look like "Ghost Kitchen Colonies" (or “commissary” kitchens): one site that hosts the kitchens for many restaurants. 

“This means sharing ingredients, equipment, and cooking staff to supply multiple restaurant brands. For customers, this provides the opportunity to order different types of food from the same address, and saves companies on overheads and wasting resources.” 

Uber: grocery delivery

Before the virus Uber was primarily a taxi company: it used cars to move people around. Once lockdowns started, the people weren’t moving, but the cars still could. So its Uber Eats cars-that-move-meals business overtook the cars-that-move-people business. In June it missed out on buying rival meal delivery platform Grubhub (Just Eat made a last minute order which won that one), so this week Uber has just bought US meal delivery service Postmates, and will run it alongside its existing Uber Eats. 

But if you have an on-demand network of cars you can move other things with it too. Uber also says it will be starting grocery delivery in Canada, Latin America and some US cities soon. It bought Cornershop (a grocery delivery startup a bit like Instacart) last year. It’s also a step towards the logistics space. The next step might be combining the car with ghost kitchens: on demand food truck delivery kitchens.

Various things

Nicki Sprinz at ustwo: “As a white person with privilege and relative influence, I invite people to hold me to account, and I must stay uncomfortable. We have to do the hard work to ensure we start to dismantle the structural racism we have benefited from for years.”

Climatestrike software licence: “developers can use to prohibit the use of their code by applications or companies that threaten to accelerate climate change through fossil fuel extraction”.

“Diversity & Inclusion at Conferences and Events (DICE) provides certification and guidance to help conferences and events deliver a representative and diverse set of speakers, perspectives, and attendees.”

Goldman Sachs bank designs its own typeface. It has to work with lots of small numbers, so it might be good for spreadsheet fans (hello).

“Find yourself an alternative pint while also supporting local independent pubs and bars” - Neverspoons.

Co-op Digital news and events

The government’s consultation response on violence and abuse toward shop staff and The Co-op’s report on it in Sep 2019: “Our latest research shows that retail crime has reached epidemic proportions, with 115 retail workers physically attacked every day in the UK, with many more verbally abused and threatened. This needs to change. We need the UK Government to urgently protect shop workers and send a clear message that violence and verbal aggression will not be tolerated in shops.”

The Federation House team is running weekly drop-in chats for the community every Wednesday at 10am: Join us here. See our online events. You can also see how The Federation is planning for a safe return to the co-working floor.  

Free of charge events: 

Andy’s Man Club – Gentleman's Peer to Peer Mental Health Meet Up – Mondays 7pm

Volunteer with Code Your Future – Online Meet Up – 8 July - 6pm  

Beginners Guide to Retrofit – Webinar – 8 July – 6pm  

Northern Azure User Group – Online Meet Up – 8 July - 6pm 

Building Resilience within your teams - Webinar – 9 July – 12.30pm 

Accessing Open Data through API’s – Webinar – 14 July – 6.30pm 

Python for Beginners – Online Workshop – 16 July - 4pm 

Paid for events: 

Invisible Cities - Online Tours of Manchester or Edinburgh – Various Dates & Times 

Thank you for reading

Thank you, beloved readers and contributors. Please continue to send ideas, questions, corrections, improvements, etc to @rod on Twitter. If you have enjoyed reading, please tell a friend! If you want to find out more about Co-op Digital, follow us @CoopDigital on Twitter and read the Co-op Digital Blog. Previous newsletters.