#Deliveroo API data sets

[iwebscrapingblogs]

Data Insights Unveiled: Exploring Deliveroo API Data Sets and Applications

In the rapidly evolving landscape of the food delivery industry, data has become a crucial driver for innovation and efficiency. Deliveroo, a prominent player in this field, provides a treasure trove of data through its Application Programming Interface (API), allowing businesses and developers to gain valuable insights. In this blog post, we'll delve into the world of Deliveroo API data sets and explore the diverse applications that can be derived from them.

Unlocking the Power of Deliveroo API Data Sets

1. Order Trends and Customer Behavior Analysis:

The Deliveroo API offers detailed information about customer orders, providing a goldmine for businesses to analyze trends and preferences. By studying patterns such as peak order times, popular cuisines, and average order values, restaurants and delivery services can optimize their operations, streamline inventory management, and tailor marketing strategies to better serve their target audience.

2. Geospatial Analysis for Strategic Planning:

Leveraging geospatial data from the Deliveroo API enables businesses to identify high-demand areas and strategically position their delivery hubs. By understanding the geographical distribution of customer orders, companies can optimize delivery routes, reduce delivery times, and enhance overall customer satisfaction.

3. Menu Optimization and Diversification:

With access to detailed menu data, restaurants can gain insights into the popularity of specific dishes and cuisines. This information allows them to optimize their menus by emphasizing customer favorites, introducing new offerings, or adjusting pricing based on demand. Such data-driven decisions contribute to increased sales and customer loyalty.

4. Dynamic Pricing Strategies:

The Deliveroo API provides real-time data on market demand and competitor pricing. Businesses can capitalize on this information to implement dynamic pricing strategies, adjusting prices based on factors such as time of day, local events, or seasonal trends. This not only maximizes revenue but also ensures competitiveness in the ever-changing food delivery landscape.

Real-world Applications

1. Optimizing Delivery Routes:

Delivery services can use historical order data to optimize delivery routes, reducing travel time and fuel costs. This not only enhances operational efficiency but also contributes to environmental sustainability by minimizing the carbon footprint associated with food deliveries.

2. Personalized Marketing Campaigns:

By analyzing customer preferences and order history, businesses can create targeted and personalized marketing campaigns. Whether it's offering discounts on frequently ordered items or promoting new menu additions based on individual tastes, personalized marketing increases customer engagement and loyalty.

3. Supply Chain Management:

Restaurants can use Deliveroo API data to forecast demand for ingredients and manage their supply chain more effectively. This proactive approach ensures that restaurants are well-prepared to meet customer demand, preventing stockouts and minimizing waste.

4. Quality Assurance:

Analyzing customer reviews and ratings available through the API allows restaurants to assess the quality of their offerings continually. By promptly addressing any issues raised by customers, businesses can maintain a positive reputation and build trust within the community.

In conclusion, the wealth of data available through the Deliveroo API empowers businesses in the food delivery industry to make informed decisions, optimize their operations, and stay ahead of the competition. As technology continues to play a pivotal role in shaping the future of this sector, harnessing the insights provided by Deliveroo API data sets will be crucial for businesses looking to thrive in the dynamic and ever-evolving world of food delivery.

[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

[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.

[smartsheffield]

Notes from Meetup #8: It’s not about the Tech!

Well this has taken quite a while to write up!

Partly it’s taken this long because life kept getting in the way, and partly because we had all kinds of trouble getting the videos down from Matt’s iCloud in one piece. A couple of the files were too big, and apparently corrupted in several places - in the end we had to set up another camera in front of my monitor, record the videos streaming to it, and then re-edit the new video to remove all the pauses and glitches.

This took some time.

As a result, Nigel Slack’s and RIck Robinson’s talks are pretty poor quality - they haven’t been completely lost though! Steve Turner’s, Kurtis Wright’s and Matt’s SmartSheffield News are at the usual level of smart phone fidelity, luckily.

All this has held up the write ups of the other events we’ve held since February as well - but now the video issue is resolved and things are calming down a little bit for Summer, these should follow very soon as well.

Anyway, back to the programme.

The February event took place on Monday the 12th February, and was themed “It's Not About the Tech!” with talks that attempt to show the wider rationales, impacts and considerations of introducing urban technologies. The evening kicked off with...

Nigel Slack on being an Active Citizen

Nigel Slack is a self-described Active Citizen, which he characterises as  “a campaigner, an advocate, someone who challenges the status quo - someone working to make the city a better place”. In this talk he explains the different aspects to his practice, and the ways in which he tries to make public decision-making more transparent and accessible to the general public.

Nigel talks about his work with other local and regional civil society organisations such as Sheffield for Democracy, the Electoral Reform Society at the University of Sheffield and Sheffield City Partnership, engagement with Citizens Assemblies, and the concept of Administrative Evil which was his topic at the recent Festival of Debate.

He also presents the "Talking Sheffield" show on Sheffield Live, the city's community TV and media platform, and runs a blog called The Public Interest, where he posts regularly about issues affecting the citizens of Sheffield.

On the subject of digital technology, Nigel says that one of his major concerns is centred around the idea that it “promotes a perfect way of doing things. That you’re not doing it right. Yet. Unless you’ve got the piece of tech that shows you how to do it”, and that it has a tendency to feed our individual neuroses.

He also discusses the two areas in which change in cities is most needed: infrastructure and governance, and how he engages with those agendas to affect change.

Nigel relies on donations from citizens to fund his work, which represents an interesting paradigm in the way citizens engage in local affairs, in parallel to the local press and other sources of information.

In the 2015 SmartSheffield report, under the Leadership theme,  we wrote about the need to ‘Harness Movements’. We said:

“With so much of the population now networked together, and talking to each other about things that affect them in their environment (both the good and the bad), the ability to listen to people's concerns; recognise where there are motivated groups; provide insight, information and tools to enable them; and connect them with other city actors who can help them make a positive difference, are crucial leadership skills that should be fostered.”

Active citizens like Nigel may be able to provide the critical insight that enables this to happen in ways that are effective.

Rick Robinson on Urban Challenges and Opportunities

Rick is Digital Property and Cities Leader at Arup, and here provides an overview of the most significant challenges facing cities across the world, including low productivity, an ageing population, the squeeze on local authority budgets,  worsening health outcomes, and food sustainability.

Rick’s practice focuses on the “creation of positive outcomes through the intersection of individual behaviour, place and technology”, and he looks at the problems caused by previous generations of technology (e.g. the automobile and concrete) and urban policy (e.g. national transport infrastructure to connect the UK’s city centres) and the negative effects this had on land value, livability and deprivation (see Lichfield, 2015, and UCL, 2014).

How can we avoid such consequences in the next generation of technological change? Rick points to one overarching challenge, and three huge opportunities:

The huge challenge is displacement. Nobody yet know how disruptive the change is going to be over the next 50 years, as at least half the tasks that are currently performed by humans are performed by machine. Will our societies be able to adapt sufficiently to perform the higher level tasks that will escape automation? Will a majority be unable to find work and reliant on benefits or a universal basic income? Will the vast majority of the world's wealth be concentrated among a few global platforms? These are the questions that really define our time.

There are also significant opportunities, though:

We’ve never before had so much data so readily available to make use of, to predict, to analyse to innovate with and convert into value, and it’s never been easier or cheaper to start a new business and be productive.

So the three opportunities are that digital technology is able to provide (open) data, (open) innovation and (individual) empowerment.

Not all models are equally beneficial though. For instance the platform businesses that have scaled up rapidly in recent years have produced inequalities, whereby those providing labour (e.g. Deliveroo riders) are relatively disadvantaged, while those providing assets (e.g. AirBnB hosts) are relatively advantaged - in other worlds the rich get richer, while the poor get poorer (see McAfee & Brynjolfsson, 2014 and JP Morgan Chase, 2016).

The key will be to find and promote arrangements that provide new efficiencies but also have predominantly positive externalities.

And there are huge opportunities to apply technology to make work an order of magnitude more efficient than it is currently.

Steve Turner on Bridging the Gap between City Challenges and Digital Solutions

Steve Turner is Digital Cities Lead at Arup, and here he dissects the gap between the realities of municipal leadership and local authority service provision, and the potential that digital technology presents. In 2017 Arup published a Global Review of Smart Cities, in which they showed the key purposes for which cities employ digital technology are to improve outcomes and efficiencies; to accelerate economic growth and to increase citizen engagement.

In practice, though, there is generally a yawning gap between the challenges that local authorities, and service users face and the technology and design firms who could develop suitable solutions to these issues.

There are lots of solutions looking for problems, and lots of vendors trying to sell things, but local authorities often don’t have the bandwidth or expertise to appreciate what is available in the marketplace, let alone assess a broad set of solutions. Even in the flagship Smart Cities, there is frequently no great legacy after the public money runs out.

There are examples of good applications of urban technology, such as Christchurch’s Digital Masterplanning, the DOLL Living Lab in Denmark, air quality improvements in Lille, savings from digital transformation in Camden, and elsewhere.

But the gulf between problem and solution still remains in most places.

Arup’s approach to this problem is to develop innovation engagement initiatives, in which they  work with city leaders to understand the local challenges starting with the city strategy or city plan. They then unpick the key challenges by interviewing service managers and users, and engage with the tech sector to scope out those challenges. Often this process identifies 20 or 30 challenges initially, and then reduces these down to just three or four.

These challenges then feed a programme whereby tech SMEs are shortlisted and then work alongside the local authority for roughly six months to prototype and trial solutions, before, hopefully, scaling up. This gives the local authority and tech firms the opportunity to work together and come to understand the opportunities.

Kurtis Wright on Open Banking and LociPay

Kurtis spoke to us roughly a year ago about his project to create a local digital currency called My Sheffield Pound, and he now returns to explain how this concept has evolved into a new fintech startup called LociPay, which is taking advantage of a profound shift in the European regulatory landscape for banking.

A new law - the PSD2 (Payment Service Directive 2) - came into force in January this year, which amongst other things requires the 9 main UK banks to publish open APIs so that 3rd parties can access bank accounts and services.

2 kinds of new services will make use of these new capabilities:

Account Information Service Providers (AISPs), that poll, aggregate and visualise financial information.

Payment Initiation Service Provider (PISPs), which essentially act as a new merchant gateway with direct access to the customer’s bank account, and don’t need to go via Visa or Mastercard or any other interface.

This is the route that Loci Pay is taking, in order to provide a new mobile payment mechanism for local transactions, independent retailers and SMEs, and provide them with a far cheaper transaction costs. In addition, it acts as a bank account to consumers which has no fees, via a partner challenger bank.

Kurtis believes that by providing a niche payment service, consumer can also use the brand awareness to know they are making locally economically supportive purchasing decisions, no matter where they are in the country. I.e. if the venue accepts LociPay, you can be sure that their revenue is not being routed offshore.

And then in future his plan is to encourage positive budgeting and savings behaviour via additional AISP services.

SmartSheffield News

Matt took over news duties this month, and covered the following:

SCR Digital Action Plan (still not publically released)

Sheffield Digital Skills Action Plan

IoT Tribe North in Barnsley

Kollider

Urban Flows Observatory - new sensor van

Things Network Sheffield - new gateways with WANdisco

Public WiFi

Sheffield Transport Vision

Sheffield Box - welcomes new arrivals to Sheffield

SCC/Veolia/Magtech Electric Refuse Vehicle Trial

Ofo Bikes

[wisejellyfishcrown]

A new proliferation of tech-savvy companies tuned into the digital economy has raised the bar for customers and brands alike. With Deliveroo, for example, customers can order their favorite foods in a matter of minutes–with personalized offers tailored just for them. Shouldn’t this be the case for bank services, too?

Research shows that mobile and online banking are now gathering significant pace, with more than a third (38%) of consumers carrying out their banking via a mobile app on a regular basis. That percentage rises to 53% for the 18- to 34-year-old bracket.

Mobile banking 1.0 brought simple banking transactions to our fingertips. But now customers expect a much more joined-up, customer-centric approach. Welcome to mobile banking 2.0–more of a personal finance management tool that allows users to gain a single view across all of their finances, from their bank accounts to their student loans, credit card balances, and mortgage applications.

With changes such as the move to open banking and the upcoming Payment Services Directive (PSD2), which comes into play in January, how can banks bolster mobile progress? And what should their CMOs be doing to provide customers with a slicker service?

Customers Over Transactions All too often, banks are driven by a product-led culture rather than a customer-led culture, losing track of what is most important to customers by organizing the business to focus on functions and product lines. This results in a siloed approach to business growth, which often neglects customer satisfaction.

The truth is, if customers see their relationships with banks as purely transactional in nature, the amount of trust that can be built is limited. Important relationships risk being resigned to the short term.

The bank CMO must champion customers and bring their needs to the board to ensure business strategy is built to fulfill their expectations. As the role of the CMO gradually morphs into the “chief customer officer,” there is scope to foster a more customer-led culture, with an ethos around creating customers for life.

AI Enablement Let’s picture a future scenario: A potential customer is browsing online with a view to setting up an account. He is pointed towards a mobile banking application that has an integrated AI chatbot, which guides him through setup by asking a few questions and requesting verification, such as a passport or identity card. Within minutes, the account is ready to use, tailored to his preferences, with the bank also fulfilling vital KYC (know your customer) and AML (anti money-laundering) requirements.

From the customer’s perspective, he is happy the bank is so attuned to his needs and has provided an efficient process. From the bank’s perspective, it has optimized a sign-up process that previously would have taken multiple days–giving back vital time to staff to deal with more strategic activities.

AI and machine-learning technologies are enhancing customer onboarding processes such as these and are further helping with different aspects of customer interaction to improve the overall customer experience.

Imagine a bank that receives hundreds of FAQs and enquiries through its call centers every day. If an AI-enabled chatbot can automate the responses, customers benefit from answers in a matter of minutes–and, again, bank employees are freed to deal with more pressing issues. However, the human touch shouldn’t be lost altogether. By giving customers the opportunity to connect with an agent via video link, they can be assured the option to speak to a human if required or preferred is just a click away.

Data-Driven Insight Next to its customers, data is one of the most valuable assets that a bank possesses. AI is now helping to bring newfound data insights and analytics capabilities. Bank CMOs can harness the power of this data and use it to serve up recommendations and personalized services to customers.

Mobile applications alone are giving banks a window into their customers’ accounts and needs. If you use a mobile banking application, a bank can garner data such as your location, transaction history, salary, mortgage rates, holiday budgets, spending habits, etc. The list goes on.

The move to PSD2 also compounds this data proliferation, as consumers begin to grant trusted third parties access to their banking data through open APIs. By connecting the dots between transactional data, personal data, and social media data, powerful AI algorithms can identify when customers are in most need of a service and provide unique products personalized to their needs.

The Evolving Role Of The Bank CMO The mindset of the modern-day bank needs to change to build true, long-term customer-centricity. The CMO must navigate this journey, taking a leading role in highlighting the benefits of cognitive technologies, such as AI, to the board, and using advanced data analytics to deliver the personalized services customers actually want and need.

In five years, will the role of the CMO exist? Certainly not in the same guise as it does today. I see the role of the CMO changing into that of a chief data officer or chief customer officer–someone who dives into advanced data analytics and champions the needs of the customer.

Ultimately, customers will be the ones who shape the way our banks look in the future. Banks that fail to deliver on the customer-centricity mandate in a competitive world driven by open banking won’t survive for very long.

Source link

The post Welcome To Mobile Banking 2.0 appeared first on elgibborsms.com blog.

[foodspark-scraper]

Diving Deep into the Realm of Deliveroo API and its Data Sets

In this article, we will explore the data sets offered by the Deliveroo API and examine various ways they can be leveraged.By leveraging the vast array of data available, businesses can gain valuable insights into customer preferences, delivery trends, and market demand. Deliveroo API and its data sets enable companies to stay ahead of the competition and cater to the evolving needs of their customers, ultimately driving success in the food and beverage industry. 

[iwebscrapingblogs]

Unlock the power of Deliveroo API and dive into a world of data insights! Join us as we explore the vast possibilities offered by Deliveroo API data sets and their applications. Discover how this valuable resource can transform raw data into meaningful insights, enabling you to make informed decisions and drive innovation. 

[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.

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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.