#Extracting Swiggy and Zomato Data

[iwebdatascraping0]

📊 Unlock Deeper Food Delivery Intelligence with City-Wise Menu Trend Analysis Using Zomato & Swiggy Scraping API

In today's dynamic food delivery landscape, staying relevant means understanding how preferences shift not just nationally—but city by city. By harnessing the power of our #ZomatoScrapingAPI and #SwiggyScrapingAPI, businesses can extract granular data to reveal #menu trends, #dish popularity, #pricing variations, and #regional consumer preferences across urban centers.

Whether you're a #restaurant chain planning regional expansion, a #foodtech startup refining your offerings, or a #marketresearch firm delivering insights to clients—real-time, city-specific menu analytics are essential.

With our robust scraping solution, you can: ✔️ Analyze which items are trending in key metro areas ✔️ Adjust your menu for hyperlocal appeal ✔️ Monitor competitor offerings and pricing strategies ✔️ Predict demand patterns based on regional consumption behavior

This level of #data granularity not only boosts operational efficiency but also helps refine marketing strategies, product positioning, and business forecasting.

[fooddatascrape1]

How To Scrape Zomato & Swiggy Data Using Python And BeautifulSoup?

Please read this blog to understand How to Scrape Zomato & Swiggy Data Using Python and BeautifulSoup? Food Data Scrape and use it for different business needs.

Know more : https://medium.com/@fooddatascrape/how-to-scrape-zomato-swiggy-data-using-python-and-beautifulsoup-aeb634bd77de

[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

[actowizsolutions0]

Dynamic Pricing & Food Startup Insights with Actowiz Solutions

Introduction

In today’s highly competitive food and restaurant industry, the difference between success and failure often lies in the ability to adapt swiftly to market dynamics. Investors and food startups are leveraging data intelligence to fine-tune pricing models, optimize profitability, and enhance operational performance. At the forefront of this transformation is Actowiz Solutions, a leading provider of web scraping and data intelligence services.

Why Dynamic Pricing is a Game-Changer

Dynamic pricing, also known as real-time pricing, allows businesses to adjust prices based on demand, competitor prices, customer behavior, and other external factors. For food startups, this can be the difference between overstocked perishables and sold-out menus.

Key Benefits of Dynamic Pricing:

Increased Revenue: Charge premium rates during peak demand.

Inventory Optimization: Reduce food waste by adjusting prices on soon-to-expire items.

Improved Competitiveness: Stay ahead by responding to competitor price changes in real-time.

Enhanced Customer Segmentation: Offer tailored pricing based on user location or purchase history.

How Actowiz Solutions Powers Dynamic Pricing

Actowiz Solutions enables startups and investors to collect vast amounts of real-time data from food delivery apps, restaurant aggregators, grocery platforms, and market listings. This data is structured and delivered via API or dashboards, enabling easy integration into pricing engines.

Actowiz Dynamic Pricing Data Flow:

flowchart LR A[Food Delivery Platforms] --> B[Web Scraping Engine - Actowiz Solutions] B --> C[Real-Time Price Data Aggregation] C --> D[Analytics Dashboard / API] D --> E[Dynamic Pricing Models for Startups] D --> F[Investor Performance Insights]

Example Datasets Extracted:

Menu prices from Zomato, Uber Eats, DoorDash, and Swiggy

Grocery prices from Instacart, Blinkit, and Amazon Fresh

Consumer review sentiment and delivery time data

Competitor promotional and discount trends

Performance Tracking with Actowiz Solutions

Beyond pricing, performance tracking is vital for both investors and startups. Actowiz Solutions offers detailed KPIs based on real-time web data.

Key Performance Metrics Offered:

Average Delivery Time

Customer Ratings and Reviews

Menu Update Frequency

Offer Usage Rates

Location-wise Performance

These metrics help investors evaluate portfolio startups and allow startups to fine-tune their services.

Sample Performance Dashboard:

Metric Value Trend Avg. Delivery Time 34 mins ⬇️ 5% Avg. Customer Rating 4.3/5 ⬇️ 2% Promo Offer Usage 38% ⬇️ 10% Menu Item Refresh Rate Weekly Stable New User Acquisition +1,200/mo ⬇️ 15%

Real-World Use Case

Case Study: A Vegan Cloud Kitchen Startup in California

A vegan cloud kitchen startup used Actowiz Solutions to scrape competitor pricing and delivery performance from platforms like DoorDash and Postmates. Within 3 months:

Adjusted pricing dynamically, increasing revenue by 18%

Reduced average delivery time by 12% by identifying logistics gaps

Gained deeper insight into customer sentiment through reviews

The investor backing the startup received real-time performance reports, enabling smarter funding decisions.

Infographic: How Actowiz Helps Food Startups Scale

graph TD A[Raw Market Data] --> B[Actowiz Data Extraction] B --> C[Cleaned & Structured Data] C --> D[Startup Analytics Dashboard] D --> E[Dynamic Pricing Engine] D --> F[Performance Reports for Investors]

Why Investors Trust Actowiz Solutions

Actowiz Solutions doesn’t just provide data—it offers clarity and strategy. For investors:

See real-time performance metrics

Evaluate ROI on food startups

Identify trends before they emerge

For startups:

Get actionable data insights

Implement real-time pricing

Measure what matters

Conclusion

Dynamic pricing and performance tracking are no longer luxuries in the food industry—they're necessities. With Actowiz Solutions, both investors and startups can make informed decisions powered by accurate, real-time data. As the food tech space becomes more competitive, only those who leverage data will thrive.

Whether you’re funding the next unicorn or building it—Actowiz is your partner in data-driven growth. Learn More

[3idatascraping]

Monitor Competitor Pricing with Food Delivery Data Scraping

In the highly competitive food delivery industry, pricing can be the deciding factor between winning and losing a customer. With the rise of aggregators like DoorDash, Uber Eats, Zomato, Swiggy, and Grubhub, users can compare restaurant options, menus, and—most importantly—prices in just a few taps. To stay ahead, food delivery businesses must continually monitor how competitors are pricing similar items. And that’s where food delivery data scraping comes in.

Data scraping enables restaurants, cloud kitchens, and food delivery platforms to gather real-time competitor data, analyze market trends, and adjust strategies proactively. In this blog, we’ll explore how to use web scraping to monitor competitor pricing effectively, the benefits it offers, and how to do it legally and efficiently.

What Is Food Delivery Data Scraping?

Data scraping is the automated process of extracting information from websites. In the food delivery sector, this means using tools or scripts to collect data from food delivery platforms, restaurant listings, and menu pages.

What Can Be Scraped?

Menu items and categories

Product pricing

Delivery fees and taxes

Discounts and special offers

Restaurant ratings and reviews

Delivery times and availability

This data is invaluable for competitive benchmarking and dynamic pricing strategies.

Why Monitoring Competitor Pricing Matters

1. Stay Competitive in Real Time

Consumers often choose based on pricing. If your competitor offers a similar dish for less, you may lose the order. Monitoring competitor prices lets you react quickly to price changes and stay attractive to customers.

2. Optimize Your Menu Strategy

Scraped data helps identify:

Popular food items in your category

Price points that perform best

How competitors bundle or upsell meals

This allows for smarter decisions around menu engineering and profit margin optimization.

3. Understand Regional Pricing Trends

If you operate across multiple locations or cities, scraping competitor data gives insights into:

Area-specific pricing

Demand-based variation

Local promotions and discounts

This enables geo-targeted pricing strategies.

4. Identify Gaps in the Market

Maybe no competitor offers free delivery during weekdays or a combo meal under $10. Real-time data helps spot such gaps and create offers that attract value-driven users.

How Food Delivery Data Scraping Works

Step 1: Choose Your Target Platforms

Most scraping projects start with identifying where your competitors are listed. Common targets include:

Aggregators: Uber Eats, Zomato, DoorDash, Grubhub

Direct restaurant websites

POS platforms (where available)

Step 2: Define What You Want to Track

Set scraping goals. For pricing, track:

Base prices of dishes

Add-ons and customization costs

Time-sensitive deals

Delivery fees by location or vendor

Step 3: Use Web Scraping Tools or Custom Scripts

You can either:

Use scraping tools like Octoparse, ParseHub, Apify, or

Build custom scripts in Python using libraries like BeautifulSoup, Selenium, or Scrapy

These tools automate the extraction of relevant data and organize it in a structured format (CSV, Excel, or database).

Step 4: Automate Scheduling and Alerts

Set scraping intervals (daily, hourly, weekly) and create alerts for major pricing changes. This ensures your team is always equipped with the latest data.

Step 5: Analyze the Data

Feed the scraped data into BI tools like Power BI, Google Data Studio, or Tableau to identify patterns and inform strategic decisions.

Tools and Technologies for Effective Scraping

Popular Tools:

Scrapy: Python-based framework perfect for complex projects

BeautifulSoup: Great for parsing HTML and small-scale tasks

Selenium: Ideal for scraping dynamic pages with JavaScript

Octoparse: No-code solution with scheduling and cloud support

Apify: Advanced, scalable platform with ready-to-use APIs

Hosting and Automation:

Use cron jobs or task schedulers for automation

Store data on cloud databases like AWS RDS, MongoDB Atlas, or Google BigQuery

Legal Considerations: Is It Ethical to Scrape Food Delivery Platforms?

This is a critical aspect of scraping.

Understand Platform Terms

Many websites explicitly state in their Terms of Service that scraping is not allowed. Scraping such platforms can violate those terms, even if it’s not technically illegal.

Avoid Harming Website Performance

Always scrape responsibly:

Use rate limiting to avoid overloading servers

Respect robots.txt files

Avoid scraping login-protected or personal user data

Use Publicly Available Data

Stick to scraping data that’s:

Publicly accessible

Not behind paywalls or logins

Not personally identifiable or sensitive

If possible, work with third-party data providers who have pre-approved partnerships or APIs.

Real-World Use Cases of Price Monitoring via Scraping

A. Cloud Kitchens

A cloud kitchen operating in three cities uses scraping to monitor average pricing for biryani and wraps. Based on competitor pricing, they adjust their bundle offers and introduce combo meals—boosting order value by 22%.

B. Local Restaurants

A family-owned restaurant tracks rival pricing and delivery fees during weekends. By offering a free dessert on orders above $25 (when competitors don’t), they see a 15% increase in weekend orders.

C. Food Delivery Startups

A new delivery aggregator monitors established players’ pricing to craft a price-beating strategy, helping them enter the market with aggressive discounts and gain traction.

Key Metrics to Track Through Price Scraping

When setting up your monitoring dashboard, focus on:

Average price per cuisine category

Price differences across cities or neighborhoods

Top 10 lowest/highest priced items in your segment

Frequency of discounts and offers

Delivery fee trends by time and distance

Most used upsell combinations (e.g., sides, drinks)

Challenges in Food Delivery Data Scraping (And Solutions)

Challenge 1: Dynamic Content and JavaScript-Heavy Pages

Solution: Use headless browsers like Selenium or platforms like Puppeteer to scrape rendered content.

Challenge 2: IP Blocking or Captchas

Solution: Rotate IPs with proxies, use CAPTCHA-solving tools, or throttle request rates.

Challenge 3: Frequent Site Layout Changes

Solution: Use XPaths and CSS selectors dynamically, and monitor script performance regularly.

Challenge 4: Keeping Data Fresh

Solution: Schedule automated scraping and build change detection algorithms to prioritize meaningful updates.

Final Thoughts

In today’s digital-first food delivery market, being reactive is no longer enough. Real-time competitor pricing insights are essential to survive and thrive. Data scraping gives you the tools to make informed, timely decisions about your pricing, promotions, and product offerings.

Whether you're a single-location restaurant, an expanding cloud kitchen, or a new delivery platform, food delivery data scraping can help you gain a critical competitive edge. But it must be done ethically, securely, and with the right technologies.

[foodspark-scraper]

Foodspark extracts the world’s leading food delivery websites and apps, which saves consumers’ time as well as money on food deliveries. With our Food Data Scraping services, the users could compare time estimations and delivery charges from different Food websites like Zomato, Swiggy, Postmates, DoorDash, Eat Street, Delivery.com, etc.

[fooddatascrape]

Scrape Zomato and Swiggy data using Food data Scrape

Zomato and Swiggy are popular food ordering and delivery apps that have caught consumers' attention. Scrape data from Zomato and Swiggy using Food Data Scrape for restaurant name, restaurant type, menu, pricing, rating review, opening hours, discounts, and more.

Zomato is a rapidly growing restaurant discovering website established in 2008 by Pankaj Chaddah and Deepinder Goyal. Previously, it was named Foodiebay, but in 2010 it was finally renamed Zomato. It delivers information about nearby restaurants and offers facilities, including online ordering, table management, and reservation. Zomato serves 10,000 cities across 36 countries, with nearly 1.2 million famous restaurants having more than 80 million customers monthly. Available in 10 different languages, it has 10 million reviews with 18 million bookmarks. Overall, Zomato is the most comprehensive and user-friendly app allowing people to search nearby restaurants and cafes, order food online, and get it at their doorstep quickly.

Swiggy is a renowned Indian food ordering delivery platform. Started in 2014, the company is in Bangalore with operations in more than 500 cities. The data is as on September 2021. In addition to food delivery niche, Swiggy also delivers grocery on-demand under the brand Instamart and same-day delivery package service as Swiggy Genie.

Both Zomato and Swiggy are a pool of innumerable valuable data. Collecting the data via manual process is a tedious task. Hence, automating the process using web scraper can ease the process.

List of data fields from Swiggy and Zomato

Restaurant’s name

Restaurant’s ID

Address

City

State

Country code

Postal code

Menu

Price range

websites

Vote

Review

Rating

Email Id

Opening hours

Contact details

Why Scrape Swiggy and Zomato Data

There are several significant reasons why scraping Swiggy data is essential. A few of them are as follows:.

Swiggy and Zomato occupy the most significant marketplace when ordering food online. Owing to the threat of Covid-19, home dining increasingly became popular. It has given reason to customers the to order food in the comfort of their homes. The data produced by customers are essential to understand their sentiments and using it for enhancing business.

Scraping Swiggy and Zomato data allows you to find which menu is trendy among the customers and which restaurant offers types of cuisine, including fast foods, healthy foods, multi-cuisine, etc. Being a restaurant owner, you can use the data to add new cuisine to your menu list.

Discounts and offers often lure customers. Scraping data on Swiggy and Zomato lets you understand which restaurant offers discounts and to what extent.

Scraping Zomato and Swiggy Data with Python and BeautifulSoup

One of the advantages of web scraping is to collect data for restaurant lists from several sites. Here, we will retrieve hotel information from Zomato and Swiggy using BeautifulSoup. To scrape Zomato restaurant data or Swiggy data, we will first get the Zomato and Swiggy search result page and set up BeautifulSoup to use CSS selector for querying the page for essential data.

We will pass the user agent headers to avoid blocking to stimulate a browser call. Let’s get the Zomato and Swiggy search results for the desired destination. It will appear like this.

After inspecting the page, we get that each item HTML is in a class-result tag.

Now, break the HTML document into the parts that contain individual item information like this:

After running, we will obtain this.

It indicates that the code isolates the card’s HTML.

After inspecting further, you will see that the restaurant’s name has the class title. So, we will retrieve it.

We will get the names like this.

Now, let’s try to get other data.

After running, we get.

We have all the info, including ratings, reviews, price, and address.

Extracting Swiggy and Zomato Data

Over the years, the complete process of creating apps and websites has grown massively. The objective to scrape Swiggy restaurant data varies from business to business. Food Data Scrape provides a customized data extraction solution to help monitor the data per the requirements. The structured data is available in downloadable format in CSV, XML, Excel, and JSON files

For more information, contact Food Data Scrape now! You can also reach us for all your Food Data Scraping service and Mobile Restaurant App Scraping service requirements. Know more: https://www.fooddatascrape.com/how-to-scrape-data-from-zomato-and-swiggy.php

[iwebdatascraping0]

🚀 City-Based Zomato and Swiggy Scraping API: Fueling #FoodDelivery Intelligence

In the dynamic world of online food delivery, data is the ultimate driver of growth. Our #CityBasedScrapingAPI for #Zomato and #Swiggy delivers comprehensive, real-time #FoodDeliveryData to help businesses gain granular insights based on regional trends, customer preferences, and competitor activity.

With access to localized datasets across Indian cities, companies can: 🍽️ Track city-wise #RestaurantListings 📊 Analyze #MenuData, #PricingStrategies & #Ratings 🔍 Gain visibility into #CustomerBehavior and #OrderPatterns 📍 Compare #DeliveryCharges & #ServiceTimes across locations 💡 Enable smart decision-making for #MarketExpansion and #SalesStrategy

Whether you're a #FoodAggregator, a #CloudKitchen, or a #MarketResearch firm, leveraging real-time APIs allows you to refine your offerings and stay ahead in this fast-paced domain.

🔗 Dive deeper into the use cases and technical capabilities here: 👉 https://lnkd.in/dBD3AwZf

[iwebscrapingblogs]

iWeb Scraping provides the Best Web Data Scraping Services for Zomato, UberEats, Swiggy, Grubhub, Deliveroo, Just Eat, DoorDash, and Postmates.

[fooddatascraping]

Food Aggregator Scraping – Extract Food Aggregator Data

Food Aggregator Scraping of Food Data Scrape assists you in extracting food data from various food aggregator sites like Swiggy, DoorDash, Zomato, Postmates, Eat Street, Delivery.com, etc.

Know more :

[foodspark-scraper]

Foodspark Food Data Scraping helps you scrape food data from different food websites like Zomato, Swiggy, DoorDash, Delivery.com, Eat Street, Postmates, etc. at affordable prices. Foodspark extracts the world’s leading food delivery websites and apps, which saves consumers’ time as well as money on food deliveries. With our Food Data Scraping services, the users could compare time estimations and delivery charges from different Food websites like Zomato, Swiggy, Postmates, DoorDash, Eat Street, Delivery.com, etc.

[mobileapp14]

Scrape Liquor Delivery Mobile App Data for Market Insights?

Mobile App Scraping offers Liquor Delivery Mobile App Data Scraping Services to extract data from popular Liquor Delivery Mobile Apps such as Swiggy, Hipbar, Zomato, Bottle Rover, Jhoom, BevQ, Living Liquidz, etc.

know more: https://mobileappscrapping13.blogspot.com/2023/09/how-to-scrape-liquor-delivery-mobile.html

[mrhotmaster]

Use This Apps, Online Services To Purchase Alcohols In India: Here Is 10 Main Points You Should Know In many cities such as Kolkata, Ranchi, and Siliguri, the Swiggy and Zomato supply alcohol. The COVID-19 emergency has offered to ascend to a few liquor online conveyance alternatives in the nation. Food conveyance administrations like Swiggy and Zomato have forayed into the liquor conveyance section, as the organizations look to take advantage of popularity for alcohol during the nation's coronavirus lockdown. The applications have just begun activities in Jharkhand, Odisha, and West Bengal. Since it will be some time before administrations like Swiggy and Zomato start conveyances liquor all over the place, different state governments have presented official sites or applications for requesting liquor on the web or to get tokens to purchase liquor from physical stores while following social removing standards in the midst of the pandemic. Here are the main 10 focuses you have to think about applications and online administrations supporting liquor buy in India: 1.Zomato has begun conveying liquor in Jharkhand, Odisha, and West Bengal. The organization hopes to extend to a lot more states across India to take advantage of this ongoing interest in the online conveyance of alcohol. The aggregator has a different tab called Wine Shops in the urban areas where it is working, and it guarantees conveyance inside an hour. Zomato makes some one-memories confirmation procedure to find out the age of the client. For the time being, Zomato is operational in Bhubaneshwar, Kolkata, Ranchi, and Siliguri urban areas, and more urban communities in the states referenced above will get liquor home conveyance alternative soon. 2.Swiggy is additionally conveying liquor in indistinguishable areas from Zomato - subsequent to getting important endorsements from the state governments. The food aggregator reported its invasion into liquor conveyances a month ago, and as of late declared its entrance into West Bengal. There is a different 'Wine Shops' classification inside the Swiggy application for all urban areas that it is working in. Swiggy is offering access to an accomplice application to all its retail accomplices, and they can change things accessibility continuously through this application. Legitimate preparation is offered to retail accomplices, and just those with appropriate permitting and government required archives are accepted the Swiggy liquor conveyance organize. 3.For client age check, Swiggy and Zomato both request a piece of legitimate ID evidence. This check is done once, however, every time liquor is conveyed to the client, an OTP affirmation is required for included wellbeing. Swiggy likewise requests the selfie of a client for included photograph check. 4.In Delhi, the legislature has presented a site called qtoken, where purchasers can go to apply for an alcohol buy token. The administration has allowed more than 160 shops across Delhi to sell alcohol, and qtoken gives out just 50 tokens for every hour to individuals. On the token site, purchasers are approached to round out essential data like name and address and pick the nearest store. The purchaser is then approached to pick the things for procurement, and an e-token is then given for the client. The token notices the time period where the client can go to gather the request from the shop. 5.For individuals living in Kerala, there is an Android application called BevQ gave by Kerala State Beverages Corporation (BEVCO). The BevQ application is intended to oversee packing at alcohol stores. Clients are requested essential data like name, portable number, and pin code. The application at that point creates an e-token with a QR code on their cell phone. The e-token conveys data, for example, the locale, schedule opening, address, and QR code. This token will be filtered by the alcohol store licensee following which the liquor will be given to the client. Apparently, a client can purchase alcohol just a single time in four days in the state. Furthermore, individuals dwelling in Red zones can't buy alcohol or book an opening utilizing BevQ application. The application figured out how to draw in more than one lakh downloads only hours in the wake of going live on Google Play. ALSO SEE Follow This Means To Apply Online For Alcohol-Home Delivery In Maharastra: Read Here 6.Aside from Zomato and Swiggy, individuals of West Bengal can likewise pick the online liquor conveyance choice offered by the state government. Intrigued purchasers need to enroll on the official site, fill in legitimate data, pick a close-by alcohol shop, things for procurement, and pay online by means of different doors or pick the money down alternative. The conveyance will be finished by a conveyance operator, and confirmation will be done at the doorstep utilizing a security PIN. 7.The Maharashtra State Excise Government has likewise given the alcohol token framework for the conveyance of liquor. Headto the official page for producing the etoken, and fill in essential subtleties like number and pin code. The site presently demands liquor buy from Pune occupants as it were. It hasn't recorded Mumbai shops as the city is home to the most number of COVID-19 positive patients. 8.Odisha is additionally taking on the web requests of alcohol through the Odisha State Beverages Corporation Limited authority site. The entire procedure for retailers to list their shops on the web and oversee installment from clients has been recorded in a point by point way. The retailers should enlist on the extracted site first to empower web-based selling. 9.Chhattisgarh has a site and an authority CSMCL application also for liquor web-based requesting. This is offered by the Chhattisgarh State Marketing Corporation Limited, and comparable procedures of enrollment and buy should be followed. The administration imposes a base conveyance charge of Rs. 120 on the acquisition of alcohol. 10.There is an application called HipBar that professes to be India's first lawful liquor home conveyance specialist co-op. It is as of now operational in Cuttack and Kolkata just for the time being is still under the way toward gathering alcohol shops in these two urban communities. The application records all the alcohol shops in these regions, and let you pick one and buy things from that shop. HipBar then conveys these things to your doorstep for a charge.  For Regular & Fastest Tech News and Reviews, Follow TECHNOXMART on Twitter, Facebook, Instagram, Google News and Subscribe Here Now. By Subscribing You Will Get Our Daily Digest Headlines Every Morning Directly In Your Email Inbox.             【Join Our Whatsapp Group Here】

http://www.technoxmart.com/2020/06/you-can-purchase-alcohols-apps.html

[iwebdatascraping0]

📢 Track Real-Time #Swiggy & #Zomato Promotions with Advanced #WebScrapingAPI

In the fast-paced world of #onlineFoodDelivery, staying ahead of promotional trends is crucial. Our real-time #WebScrapingAPI is designed to extract detailed promotional data from top food delivery platforms like #Zomato and #Swiggy. Gain instant access to data on discounts, offers, #RestaurantDeals, limited-time campaigns, and more—all in real time.

By integrating this API into your analytics workflow, you can:

✅ Monitor pricing & discounts across cities ✅ Track competitors’ promotional strategies ✅ Enhance your own marketing and offer planning ✅ Improve operational response time to changing trends ✅ Build data-driven insights for higher ROI

Whether you're a #FoodAggregator, #RestaurantChain, #DeliveryPartner, or #Marketanalyst, this solution offers #ScalableIntelligence for #OptimizingDecisionMaking and driving growth.

[gta-5-cheats]

Siri vs Google Assistant vs Alexa: Which Is the Smartest Virtual Assistant in 2018?

New Post has been published on http://secondcovers.com/siri-vs-google-assistant-vs-alexa-which-is-the-smartest-virtual-assistant-in-2018/

Siri vs Google Assistant vs Alexa: Which Is the Smartest Virtual Assistant in 2018?

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Ever since Scott Forstall took the stage at the iPhone launch event in 2011 to introduce Siri to the world, the rise of virtual assistants has been swift. With so many intelligent assistants out there, it is hard to decide which one to use on a day to day basis. While Microsoft’s Cortana ships on all Windows devices, it’s safe to say that Apple’s Siri, Amazon’s Alexa, and Google Assistant are the most prominent and popular virtual assistants out there right now. While all three of them offer much of the same basic functionality, each assistant has its own set of strengths, weaknesses, and quirks. We pit the three of them against each other to find out which one is the smartest virtual assistant.

While Siri is locked to Apple’s ecosystem, Google Assistant can be used on both Android and iOS devices. The experience is slightly watered down on iOS as the platform does not allow users to change the default assistant. Alexa can only be used on an Android smartphone as of now and the Alexa app in iOS is only used to connect to Echo devices. In some countries, Alexa can be used on an iOS device via the Amazon shopping application but that feature is not present in India.

  We used Alexa on a Moto Z2 Force (Review) and to evaluate Siri we used an iPhone 7 Plus (Review). As Google Assistant supports both iOS and Android, we tried it out on both smartphones. Alexa’s voice sounds more natural than Google Assistant’s Indian accent, which comes across as a bit forced and robotic. Siri allows users to choose between American, Australian, and British accents, though an Indian accent is conspicuous by its absence.

The basic experience is very similar across all three virtual assistants, though all of them work best within their own ecosystem. Google Assistant plays well with Google applications, Google Home, and Chromecast. Similarly, you need a Fire TV stick and an Echo smart speaker to extract the most out of Alexa. Siri, thanks to Apple’s closed ecosystem can only be used on Apple devices like iPads, iPhones, MacBooks, and the HomePod smart speaker, the latter not officially available in India.

Simple everyday tasks All three assistants handle basic tasks like setting reminders and alarms, computing maths problems, and providing weather forecasts with relative ease. While Google Assistant and Siri can call and send text messages to anyone in your contact list, Alexa can only contact people who have signed up for Alexa calling/ messaging.

  Siri can place calls as well as send text messages via WhatsApp. Google Assistant can send text messages and voice messages via WhatsApp but only when used on an Android smartphone. Alexa in comparison cannot integrate with WhatsApp in any way.

When it comes to changing device settings, Google Assistant and Siri are ahead of Alexa. On both iOS and Android, Google Assistant successfully turned on the flashlight but failed to switch on mobile data. Siri managed to do the exact opposite and Alexa in comparison stated “You don’t have any smart home devices to get started” in both cases.

Trivia questions We subjected all three assistants to a battery of questions such as ‘How far away is the moon’ and ‘Who is Steve Wozniak’. Given how Google Assistant has Google’s powerful search technology at its disposal, it was not surprising to see it answer the most questions accurately. No matter which platform we used it on, Assistant provided the most accurate and in-depth information. It also provided additional links as well as a source website for the information provided.

  We were really impressed to see Google Assistant successfully answer niche questions like “What kind of fish is Dory in Finding Dory?” And “How often should I water my Chrysanthemums?”. Siri, in comparison, just kicked us to a Web search in both cases. Alexa simply stated she does not know the answer in the latter and decided to give us details about Pixar’s animated movie in the former.

When asked when is Ant Man and the Wasp, a movie hitting theatres on the 5th of July, releasing, Siri told us it was released on the 1st of January, 2018. Both Alexa and Google Assistant answered the question correctly. All three assistants are more than capable of answering queries related to Football and Cricket but only Google Assistant and Alexa can service fans of niche sports like Formula 1. When we asked Siri “Who won the Bahrain Grand Prix”, it simply stated “Sorry, I don’t have all the details about Bahrain Grand Prix”.

Complex tasks All three assistants are capable of suggesting restaurants based on cuisine as well as location. While all three were easily able to suggest good Chinese restaurants around our office, only Google Assistant managed to find places serving lasagna nearby. Google Assistant also offers to book a table at a nearby restaurant when you tell it that you’re’ hungry. It even gives an option to place an order via Swiggy and view directions via Google Maps.

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Both Siri and Alexa utilise Zomato’s database to showcase a restaurant’s address, operational hours, and user reviews. All three assistants also allow you to call restaurants from within the search result.

  Virtual Assistants can come in really handy in the kitchen when searching for recipes. When we asked all three assistants ‘How to make Ratatouille’, Google Assistant offered a few recipe videos as well as step-by-step directions for popular recipes. Siri just presented a Web search, and Alexa gave up and admitted it didn’t know how to do that.

When it comes to offering directions, Google Assistant gives solid time estimates and was able to direct us towards every landmark we threw at it. Siri in comparison is unable to provide directions in India and Alexa constantly gave us directions to Rohini West metro station instead of Hauz Khas metro station.

‘Skills’ allow third-party applications to add a ton of functionality to Alexa. Amazon has put in place a robust ecosystem of these skills, tying up with players across multiple categories like Uber, Ola, Cleartrip, GoIbibo, and UrbanClap. This allows Alexa to perform many tasks the other two assistants cannot, such as book flights, hotels, cabs, and even call electricians. Skills also allow you to plug in gaps in Alexa’s core functionality. For example, enabling the ‘Allrecipes’ skill allows Alexa to talk you through over 60,00 recipes, a feature Alexa lacks by default. Alexa can also read your Kindle books aloud, which is quite nifty.

  Google’s Assistants functionality can also be extended via ‘Actions’. Tapping the icon at the upper-right corner of the Assistant home screen takes you to the ‘Explore’ page where you can peruse through all the actions on offer. Examples of actions include asking Assistant to ‘Play Riddle Room’, ‘Talk to IPL Quiz’, and ‘Ask Milkbasket to add bread’.

The ecosystem is pretty limited at the moment and the quality of actions on offer pales in comparison to Alexa’s skills. As of January 2018, Google Assistant has around 1,800 actions. Alexa in comparison boasts of 30,000 plus skills. These numbers pertain to the U.S and in India, the amount of skills and actions might be lower. At WWDC 2018, Apple announced that with iOS 12, developers will be able to extend Siri’s capabilities using Siri Shortcuts.

At the moment, Siri cannot look for movie showtimes in India, a feature supported by both Alexa and Google Assistant. All three assistants are also capable of playing music based on genre, mood and album/artist name. Each offering uses its default music service by default, but Google Assistant and Alexa can also integrate with other music streaming services like Gaana and Saavn. In iOS though, Assistant has to make do with Apple’s default music service due to platform restrictions.

Context awareness Google Assistant is far more conversational and context-aware than the other two. Asking Google Assistant “Who is their coach?” after asking who are the English Premier League champions yielded the name of Manchester City’s coach.

  You can then take things up a notch and ask “How tall is he” or “Where is he from”, and Google Assistant understands that you’re referring to the same person and responds accordingly. Alexa in comparison stated the name of the coach successfully but struggled to answer any further questions. Siri failed after just one question, fetching the name of the head coach of University of Iowa Hawkeyes men’s basketball team instead of Manchester City’s coach.

Verdict Google Assistant is undoubtedly the most well-rounded virtual assistant. It might have less flair than the other two (It cannot sing songs like Alexa, for example) but it is the most useful at the moment, especially in the India context. Not only does Google Assistant answer the most questions correctly, it is also more conversational and context-aware. With Alexa and Siri, it is very important to get the command just right in order to invoke the required response. Google Assistant in comparison, is very good at understanding natural language.

Alexa is the most customisable assistant of the bunch. Skills allow third-party applications to add a lot of functionality to Alexa. While Assistant offers similar feature expansion via actions, the quality and quantity of skills offered by Alexa is superior. That said, Alexa’s core capabilities need spit and polish at the moment and it cannot be triggered by voice when set as the default assistant, something Microsoft’s Cortana can do despite not being native to Google’s mobile platform.

Siri has definitely improved over the years but still lags behind Alexa and Google Assistant in terms of capabilities. In our testing, Siri struggled with restaurant suggestions, location-specific queries, and pop culture questions. It also failed to understand context. That said, Siri’s interface is easy to use and it does a great job with day to day tasks.

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