Category-wise packs with monthly refresh; export as CSV, ISON, or Parquet.
Choose your region, and we’ll deliver clean, accurate store location datasets.
Launch instantly with ready-made scrapers tailored for popular platforms. Extract clean, structured data without building from scratch.
Access real-time, structured data through scalable REST APIs. Integrate seamlessly into your workflows for faster insights and automation.
Download sample datasets with product titles, price, stock, and reviews data. Explore Q4-ready insights to test, analyze, and power smarter business strategies.
Playbook to win the digital shelf. Learn how brands & retailers can track prices, monitor stock, boost visibility, and drive conversions with actionable data insights.
We deliver innovative solutions, empowering businesses to grow, adapt, and succeed globally.
Collaborating with industry leaders to provide reliable, scalable, and cutting-edge solutions.
Find clear, concise answers to all your questions about our services, solutions, and business support.
Our talented, dedicated team members bring expertise and innovation to deliver quality work.
Creating working prototypes to validate ideas and accelerate overall business innovation quickly.
Connect to explore services, request demos, or discuss opportunities for business growth.
GeoIp2\Model\City Object ( [raw:protected] => Array ( [city] => Array ( [geoname_id] => 4509177 [names] => Array ( [de] => Columbus [en] => Columbus [es] => Columbus [fr] => Columbus [ja] => コロンバス [pt-BR] => Columbus [ru] => Колумбус [zh-CN] => 哥伦布 ) ) [continent] => Array ( [code] => NA [geoname_id] => 6255149 [names] => Array ( [de] => Nordamerika [en] => North America [es] => Norteamérica [fr] => Amérique du Nord [ja] => 北アメリカ [pt-BR] => América do Norte [ru] => Северная Америка [zh-CN] => 北美洲 ) ) [country] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [location] => Array ( [accuracy_radius] => 20 [latitude] => 39.9625 [longitude] => -83.0061 [metro_code] => 535 [time_zone] => America/New_York ) [postal] => Array ( [code] => 43215 ) [registered_country] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [subdivisions] => Array ( [0] => Array ( [geoname_id] => 5165418 [iso_code] => OH [names] => Array ( [de] => Ohio [en] => Ohio [es] => Ohio [fr] => Ohio [ja] => オハイオ州 [pt-BR] => Ohio [ru] => Огайо [zh-CN] => 俄亥俄州 ) ) ) [traits] => Array ( [ip_address] => 216.73.216.213 [prefix_len] => 22 ) ) [continent:protected] => GeoIp2\Record\Continent Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [code] => NA [geoname_id] => 6255149 [names] => Array ( [de] => Nordamerika [en] => North America [es] => Norteamérica [fr] => Amérique du Nord [ja] => 北アメリカ [pt-BR] => América do Norte [ru] => Северная Америка [zh-CN] => 北美洲 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => code [1] => geonameId [2] => names ) ) [country:protected] => GeoIp2\Record\Country Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [locales:protected] => Array ( [0] => en ) [maxmind:protected] => GeoIp2\Record\MaxMind Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [validAttributes:protected] => Array ( [0] => queriesRemaining ) ) [registeredCountry:protected] => GeoIp2\Record\Country Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names [5] => type ) ) [traits:protected] => GeoIp2\Record\Traits Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [ip_address] => 216.73.216.213 [prefix_len] => 22 [network] => 216.73.216.0/22 ) [validAttributes:protected] => Array ( [0] => autonomousSystemNumber [1] => autonomousSystemOrganization [2] => connectionType [3] => domain [4] => ipAddress [5] => isAnonymous [6] => isAnonymousProxy [7] => isAnonymousVpn [8] => isHostingProvider [9] => isLegitimateProxy [10] => isp [11] => isPublicProxy [12] => isResidentialProxy [13] => isSatelliteProvider [14] => isTorExitNode [15] => mobileCountryCode [16] => mobileNetworkCode [17] => network [18] => organization [19] => staticIpScore [20] => userCount [21] => userType ) ) [city:protected] => GeoIp2\Record\City Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 4509177 [names] => Array ( [de] => Columbus [en] => Columbus [es] => Columbus [fr] => Columbus [ja] => コロンバス [pt-BR] => Columbus [ru] => Колумбус [zh-CN] => 哥伦布 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => names ) ) [location:protected] => GeoIp2\Record\Location Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [accuracy_radius] => 20 [latitude] => 39.9625 [longitude] => -83.0061 [metro_code] => 535 [time_zone] => America/New_York ) [validAttributes:protected] => Array ( [0] => averageIncome [1] => accuracyRadius [2] => latitude [3] => longitude [4] => metroCode [5] => populationDensity [6] => postalCode [7] => postalConfidence [8] => timeZone ) ) [postal:protected] => GeoIp2\Record\Postal Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [code] => 43215 ) [validAttributes:protected] => Array ( [0] => code [1] => confidence ) ) [subdivisions:protected] => Array ( [0] => GeoIp2\Record\Subdivision Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 5165418 [iso_code] => OH [names] => Array ( [de] => Ohio [en] => Ohio [es] => Ohio [fr] => Ohio [ja] => オハイオ州 [pt-BR] => Ohio [ru] => Огайо [zh-CN] => 俄亥俄州 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isoCode [3] => names ) ) ) )
country : United States
city : Columbus
US
Array ( [as_domain] => amazon.com [as_name] => Amazon.com, Inc. [asn] => AS16509 [continent] => North America [continent_code] => NA [country] => United States [country_code] => US )
The race to dominate India’s online grocery market is more competitive than ever. In cities like Bengaluru, customers expect fast delivery, competitive pricing, and consistent stock availability — and they compare every order to get the best value. That’s why a Grocery Price and Availability Comparison is crucial for retailers, brands, and consumers alike.
Today, we’ll break down how Zepto, BigBasket, and Blinkit stack up when it comes to pricing, availability, and delivery performance, and how AI-powered grocery price tracking, smart scraping tools, and APIs like the Zepto Product Data API and Blinkit Live Pricing API give businesses a clear edge in this hyperlocal grocery battle.
Bengaluru’s fast-paced urban lifestyle demands fresh groceries, fast delivery, and competitive prices — every single time. This is why a clear Grocery Price and Availability Comparison is now more critical than ever for shoppers, brands, and local retailers.
Today, more than 60% of urban households in Bengaluru rely on online grocery apps at least twice a week. Leading players like Zepto, BigBasket, and Blinkit are in a fierce race to win customer loyalty by promising everything from 10-minute deliveries to big discounts.
But are they really delivering the best value? A detailed Grocery Price and Availability Comparison answers three vital questions:
For example, Actowiz Solutions’ latest pricing snapshot shows that for a typical basket — 1L milk, 1kg rice, 500g tomatoes, 1kg sugar — Zepto averages ₹1–2 higher per item than BigBasket, but edges out Blinkit in same-hour delivery slots.
Even a 5–7% stock-out rate means frequent substitutions or cancellations, frustrating shoppers and denting brand loyalty.
Speedy delivery is Zepto’s big promise, but real-world data shows Blinkit closing the gap in certain localities, while BigBasket focuses on larger basket value and planned slots.
In a crowded hyperlocal market like Bengaluru, brands that track these stats daily gain a real edge. For local stores too, this insight is vital for pricing strategies, delivery tie-ups, and winning repeat orders.
Actowiz Solutions makes this easy with AI-powered Grocery Price and Availability Comparison dashboards — giving you live pricing, stock, and delivery insights for Bengaluru’s dynamic grocery battle.
Bengaluru’s online grocery scene has transformed dramatically in just five years. Once dominated by traditional kirana stores and planned BigBasket orders, the market has shifted toward hyperlocal express deliveries driven by Zepto, Blinkit, and other quick-commerce players. This growth is clear when you look at the data behind a proper Grocery Price and Availability Comparison.
In 2020, Bengaluru’s online grocery market stood at $2.2 billion USD with only 4% online penetration. Fast forward to 2025, and it’s projected to touch $6.2 billion, with nearly 9% of grocery retail happening online. That’s more than doubling in share within five years — fueled by smartphone adoption, changing work routines, and the sheer convenience of “order now, deliver in 10 minutes.”
A quick look at the average basket value shows interesting hyperlocal grocery pricing trends too. Back in 2020, a typical Zepto basket averaged ₹750, lower than BigBasket’s ₹900 — highlighting how express players targeted smaller, top-up orders while BigBasket focused on planned, larger baskets. By 2025, Zepto’s average basket is projected at ₹860, still slightly leaner than BigBasket’s ₹950, but closing the gap as more families use express apps for bigger weekly needs.
Blinkit, which once focused on impulsive late-night orders, has expanded its selection and delivery slots. Its basket has grown from ₹850 in 2020 to an expected ₹910 by 2025. These shifts show why brands and retailers now rely on AI-powered grocery price tracking, Zepto Product Data API, and Bengaluru Grocery Delivery Data Extraction to stay ahead.
The takeaway? With increasing choices, prices, delivery windows, and stock levels constantly shifting, a robust Grocery Price and Availability Comparison is the smartest way to stay competitive in Bengaluru’s booming hyperlocal grocery game.
Here’s how Bengaluru’s online grocery market has evolved in recent years:
Source: Actowiz Solutions – Bengaluru Grocery Pricing Insights 2025
When it comes to quick grocery runs, Bengaluru shoppers now expect deliveries within 10 to 30 minutes — and Zepto and Blinkit have become household names for meeting this promise. But fast delivery is only half the story. The real battle is where Grocery Price and Availability Comparison matters: who keeps everyday essentials affordable and in stock?
A close look at current price data shows interesting trends. In this Zepto vs Blinkit price comparison, common staples like milk, rice, tomatoes, bread, and sugar reveal Zepto keeps pricing competitive but not always the cheapest. For example, 1L of full cream milk costs ₹62 on Zepto, ₹63 on Blinkit, and slightly lower at ₹61 on BigBasket. The same pattern repeats with other basics — BigBasket’s established supply chain and bulk orders help it maintain marginally lower prices.
However, BigBasket typically focuses on scheduled slots — same-day or next-day delivery — which may not satisfy shoppers needing instant groceries for dinner or breakfast prep. That’s where Zepto and Blinkit’s hyperlocal network shines, delivering in as little as 10–20 minutes for many Bengaluru neighborhoods.
Availability is equally important. Based on recent data from Actowiz Solutions, Zepto maintains an average stock-out rate of 5%, while Blinkit’s is slightly higher at 7%. BigBasket’s larger warehouses bring this down to about 3%, but at the cost of longer wait times.
So, what’s the real takeaway for brands and local sellers? To keep up with hyperlocal grocery pricing trends, they must monitor daily prices, stock-outs, and delivery SLAs across platforms. Leveraging AI-powered grocery price tracking, Blinkit Live Pricing API, and BigBasket Data Scraping enables accurate multi-platform grocery pricing analysis, ensuring they stay relevant, competitive, and profitable in Bengaluru’s fast-moving online grocery space.
Zepto built its reputation on “10-minute deliveries,” but Blinkit and BigBasket aren’t far behind in this hyperlocal battle. A recent Zepto vs Blinkit price comparison shows:
Takeaway: BigBasket often edges out slightly lower pricing for staples but may not match the hyper-fast delivery promise of Zepto and Blinkit.
In Bengaluru’s bustling hyperlocal market, a clear Grocery Price and Availability Comparison helps brands, Q-commerce players, and small retailers decode daily pricing shifts, stock dynamics, and delivery promises across top platforms. Here’s what a multi-platform grocery pricing analysis uncovers:
By tracking these hyperlocal grocery pricing trends, sellers spot hidden opportunities: surge pricing during festivals, flash deals on high-demand SKUs, or frequent stockouts that can push customers to switch platforms.
AI-powered grocery price tracking, Zepto Product Data API, Blinkit Live Pricing API, and reliable grocery data scraping services allow brands to tap real-time market data — not guesswork. Combining this with Bengaluru grocery delivery data extraction ensures every pricing and stock decision is backed by live insights.
A robust Grocery Price and Availability Comparison isn’t just data — it’s a growth strategy for Bengaluru’s demanding online grocery battlefield.
In Bengaluru’s hyperlocal grocery space, prices and stock can change multiple times a day. Without smart tools, staying competitive would be nearly impossible. That’s why more brands and local sellers now rely on AI-powered grocery price tracking to power their Grocery Price and Availability Comparison and protect their margins.
With so many players — Zepto, Blinkit, BigBasket — adjusting promotions on the fly, brands need instant visibility to keep up. Traditional manual checks are slow and limited. Instead, AI-powered grocery price tracking uses automated scrapers, data feeds, and real-time algorithms to:
These smart tools rely on trusted integrations like the Zepto Product Data API, Blinkit Live Pricing API, and BigBasket Data Scraping. Together, they deliver minute-by-minute updates on local prices, stock status, and even delivery promise shifts.
For retailers, this means no more blind spots. For example, if Blinkit drops snack prices by 8% for a weekend flash sale, brands using AI-powered grocery price tracking can spot it immediately and adjust offers on Zepto or BigBasket to stay relevant.
In a city where 10-minute delivery is now normal, matching speed with smart pricing is key. That’s why investing in advanced tracking tools is no longer optional — it’s the backbone of winning the Grocery Price and Availability Comparison battle in Bengaluru.
Beyond prices alone, brands and Q-commerce players rely on smart Bengaluru grocery delivery data extraction to monitor operations in real time. Delivery performance is as crucial as competitive pricing — and even a slight mismatch between promise and reality can push loyal customers to a rival app.
Here’s how effective Bengaluru Grocery Delivery Data Extraction drives results for brands and sellers:
With so much competition, having real-time data extraction is the difference between reactive and proactive strategies. APIs like the Zepto Product Data API and Blinkit Live Pricing API plus BigBasket Data Scraping feed live operational data back to dashboards and pricing engines.
These feeds also help power the wider Grocery Price and Availability Comparison, combining pricing, availability, and delivery insights for a clear market view. In Bengaluru’s crowded hyperlocal market, these details help brands decide when to push discounts, launch ads, or rebalance inventory — all in real time.
Together, they make Bengaluru Grocery Delivery Data Extraction an essential tool for staying visible, trusted, and profitable in India’s online grocery battleground.
Actowiz Solutions specializes in grocery data scraping services that power your Grocery Price and Availability Comparison. Whether you’re a brand, aggregator, or hyperlocal store owner, our solutions help you:
Pull live pricing feeds from Zepto, BigBasket, Blinkit, and more
With Actowiz Solutions, you get clear, actionable insights — not just raw data.
In Bengaluru’s booming online grocery market, winning means staying a step ahead on price, stock, and delivery — every single day. A smart Grocery Price and Availability Comparison helps you do exactly that. Ready to optimize your pricing and outpace the competition? Partner with Actowiz Solutions — get the smartest grocery data scraping services and real-time APIs working for your brand today! You can also reach us for all your mobile app scraping, data collection, web scraping, and instant data scraper service requirements!
✨ "1000+ Projects Delivered Globally"
⭐ "Rated 4.9/5 on Google & G2"
🔒 "Your data is secure with us. NDA available."
💬 "Average Response Time: Under 12 hours"
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.
Industry:
Coffee / Beverage / D2C
Result
2x Faster
Smarter product targeting
“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”
Operations Manager, Beanly Coffee
✓ Competitive insights from multiple platforms
Real Estate
Real-time RERA insights for 20+ states
“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”
Data Analyst, Aditya Birla Group
✓ Boosted data acquisition speed by 3×
Organic Grocery / FMCG
Improved
competitive benchmarking
“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”
Product Manager, 24Mantra Organic
✓ Real-time SKU-level tracking
Quick Commerce
Inventory Decisions
“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”
Aarav Shah, Senior Data Analyst, Mensa Brands
✓ 28% product availability accuracy
✓ Reduced OOS by 34% in 3 weeks
3x Faster
improvement in operational efficiency
“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”
Business Development Lead,Organic Tattva
✓ Weekly competitor pricing feeds
Beverage / D2C
Faster
Trend Detection
“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”
Marketing Director, Sleepyowl Coffee
Boosted marketing responsiveness
Enhanced
stock tracking across SKUs
“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”
Growth Analyst, TheBakersDozen.in
✓ Improved rank visibility of top products
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.
✔ Scraped Data: Price Insights Top-selling SKUs
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Discover how a Scraping API for Lowes Product Data helps businesses track inventory, monitor pricing, and make real-time data-driven retail decisions.
Discover how we helped a brand scrape Woolworths Australia to improve pricing accuracy, track inventory in real time, and make smarter retail decisions.
Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.
Seller Competition & Pricing Intelligence on Amazon India and Snapdeal helps brands optimize pricing, track rivals, and make smarter marketplace decisions.
Amazon India vs Flipkart vs Snapdeal Product Data Mapping helps compare pricing, seller networks, and SKU match rates to uncover marketplace trends and drive smarter ecommerce decisions.
Learn how web scraping Grab Taxi data reveals real-time ride prices, popular routes, and demand trends to help brands make smarter mobility decisions.
Discover how extracting GrabTaxi fare and availability data improved ride-hailing price transparency, enabling smarter pricing decisions and better rider trust.
Scraping Booking.com hotel prices in France helps brands track real-time rates across 700+ hotels to optimize pricing strategies and stay competitive.
Enhance deep learning performance with large-scale image scraping. Build diverse, high-quality training datasets to improve AI accuracy, object detection, and model generalization.
Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.
Detailed research on GrabMart’s top-selling products, highlighting leading categories and SKUs across Singapore, Malaysia, and Thailand for market insights
City-Wise Demand & Delivery Time Analysis for NIC Ice Cream reveals how data improves stock planning, delivery speed, and customer satisfaction across markets.
Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.
Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.
Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations