#Swiggy API

[iwebscrapingblogs]

Swiggy API - Extract Online Food Delivery Data for Insights and Optimization

In the rapidly evolving landscape of online food delivery, Swiggy has emerged as a key player, delivering culinary delights from local restaurants to doorsteps across India. For businesses and analysts looking to tap into this rich stream of data, the Swiggy API presents a goldmine of opportunities. By accessing and analyzing data from Swiggy, businesses can gain valuable insights to optimize operations, enhance customer experiences, and stay competitive in the fast-paced food delivery market.

In this blog post, we’ll explore how you can leverage the Swiggy API to extract meaningful data, and how this data can be used for business optimization and insights.

Understanding the Swiggy API

APIs, or Application Programming Interfaces, allow different software systems to communicate with each other. The Swiggy API provides developers with access to a wealth of information about restaurants, menus, orders, and delivery operations. This API can be harnessed to:

Access detailed restaurant and menu information: Retrieve data on restaurant locations, cuisines, pricing, and menu items.

Track order status and delivery metrics: Monitor the status of orders in real-time, including delivery times and customer feedback.

Analyze customer preferences and trends: Understand customer behavior, preferences, and feedback to tailor offerings and improve service.

Key Data Points Available via Swiggy API

Restaurant and Menu Details:

Restaurant Info: Data about restaurant names, locations, cuisines offered, operating hours, and average pricing.

Menu Items: Detailed information about dishes, including ingredients, prices, and availability.

Order and Delivery Metrics:

Order Status: Real-time updates on order status, from confirmation to delivery.

Delivery Time: Metrics on the average time taken for orders to be delivered, including peak and off-peak performance.

Customer Behavior Insights:

Order History: Insights into repeat orders, most popular dishes, and customer preferences.

Feedback and Ratings: Analysis of customer reviews and ratings to gauge satisfaction and identify areas for improvement.

Extracting Data from the Swiggy API

To start extracting data from the Swiggy API, you need to follow these steps:

Register for API Access:

Obtain API credentials by registering with Swiggy as a developer. This typically involves creating an account and requesting access to the API.

Authenticate API Requests:

Use your API credentials to authenticate requests. Swiggy's API uses OAuth for secure access, so you'll need to include an access token with your requests.

Make API Calls:

Use endpoints provided by Swiggy to request specific data. For example, to get details about a restaurant, you might use an endpoint like /restaurants/{restaurant_id}.

Format your requests to specify the data you need, such as menu items or delivery status.

Process and Store Data:

Parse the JSON responses returned by the API. This data can be stored in databases for further analysis and reporting.

Analyzing Swiggy Data for Business Insights

Once you have access to Swiggy's data, the next step is to analyze it to derive actionable insights. Here’s how:

Operational Efficiency:

Delivery Performance: Analyze delivery times to identify bottlenecks. For example, if delivery times are consistently longer during lunch hours, you might need to adjust staffing or delivery routes.

Order Fulfillment: Monitor the rate of order cancellations and delays to optimize restaurant operations and improve customer satisfaction.

Customer Insights:

Preference Analysis: Understand which dishes are most popular among different customer segments. This can help in menu planning and marketing strategies.

Feedback Trends: Analyze customer reviews to identify common complaints or praises. Use this feedback to improve service quality and address issues proactively.

Marketing and Promotions:

Targeted Offers: Use data on customer order history to design targeted promotions and discounts. For instance, offer special deals to frequent customers or those who haven't ordered recently.

Campaign Effectiveness: Track the performance of marketing campaigns by analyzing changes in order volume and customer engagement during promotional periods.

Optimization Strategies Using Swiggy Data

With detailed insights from Swiggy's data, businesses can implement several optimization strategies:

Dynamic Pricing: Adjust menu prices based on demand patterns, competitive analysis, and cost considerations.

Inventory Management: Optimize inventory levels by predicting demand for popular items and reducing wastage.

Resource Allocation: Improve resource allocation by aligning staffing and delivery resources with peak order times and locations.

Conclusion

The Swiggy API opens up a world of possibilities for businesses in the food delivery ecosystem. By extracting and analyzing data from Swiggy, you can gain deep insights into customer preferences, operational performance, and market trends. This data-driven approach enables you to optimize your operations, enhance customer satisfaction, and drive growth in the competitive food delivery market.

Embrace the power of the Swiggy API and start transforming data into actionable insights today. Whether you’re a restaurant owner, a delivery service provider, or a data analyst, the wealth of information available through Swiggy can help you stay ahead in the dynamic world of online food delivery.

References

Swiggy API Documentation: Explore the official API documentation for detailed information on endpoints and usage.

OAuth Authentication: Learn about OAuth and how it is used for secure API access.

Data Analysis Techniques: Discover methods and tools for analyzing large datasets effectively.

By following these steps and leveraging the rich data available through the Swiggy API, you can unlock powerful insights and drive your food delivery business to new heights.

[foodspark-scraper]

The Swiggy API is like a special language that helps different computer programs talk to each other and work together. It’s a powerful tool that allows developers and businesses to connect their apps or websites with Swiggy’s food delivery platform. With the Swiggy API, developers can create amazing apps and websites that make ordering food from Swiggy easy. 

[xbytecrawling]

Dive into the world of Swiggy API and discover various types of data sets. Unlock the power of these data sets to revolutionize your food delivery operations.

[fooddatascrape998]

Independence Day Snack Price Drop Tracker – August 15 Data

Independence Day Price Drop Tracker: Which Snacks Got Cheaper on 15th August?

Introduction

India’s Independence Day isn’t just about freedom and patriotism—it’s also a major retail moment, especially for snack and grocery categories. From traditional laddus to modern munchies like Lay’s and Kurkure, brands and quick commerce platforms like Zepto, Blinkit, BigBasket, and Swiggy Instamart offer aggressive festive discounts on food items. But with prices changing rapidly across apps, how do you keep track of the real-time deals?

That’s where the Independence Day Price Drop Tracker: Which Snacks Got Cheaper on 15th August? becomes essential. With data intelligence at its core, this tracker helps brands, analysts, and consumers monitor snack price fluctuations across platforms—before, during, and after 15th August—providing insights into what truly drives festive sales in India.

Powered by Food Data Scrape, this tracker uses advanced web scraping to extract real-time snack discount data during Independence Day sales. From price drops on individual SKUs to platform-wise comparisons, our tool offers a comprehensive look at India’s snack-buying behavior during its biggest celebration.

Why Independence Day Snack Price Tracking Matters

During the weeks surrounding Independence Day, both retailers and consumers make strategic decisions. Retailers tweak prices to boost volume. Shoppers hunt for the best snack deals online.

Here’s what stakeholders gain by tracking snack price drops:

FMCG Brands: Monitor real-time pricing of competitors’ snack products.

Retail Analysts: Compare pre- and post-Independence Day grocery price trends.

Consumers: Use dashboards to spot price dips on favorite items like biscuits, namkeen, chips, and soft drinks.

Thanks to Grocery App Data Scraping Services, all of this becomes easily accessible.

How Food Data Scrape Tracks Snack Price Drops Across India

Food Data Scrape offers automated scraping solutions tailored for quick commerce platforms and online grocery apps. Their tools collect structured data points like:

Lay’s Magic Masala 90g ▸ Platform: Blinkit ▸ Original Price: ₹30 → ₹22 ▸ Price Drop: 26.7%

Haldiram’s Bhujia 200g ▸ Platform: Zepto ▸ Original Price: ₹65 → ₹55 ▸ Price Drop: 15.4%

Oreo Cream Biscuits ▸ Platform: BigBasket ▸ Original Price: ₹30 → ₹25 ▸ Price Drop: 16.7%

This type of real-time snack price tracking for Independence Day is made possible by scraping multiple platforms simultaneously using Grocery Delivery Scraping API Services.

Sample Use Case: Extract August 15 Price Trends for Food Items

Here’s a typical scenario: a snack brand wants to know how deeply competitors are discounting chips or namkeen around Independence Day. They consult Food Data Scrape to:

Scrape Snack Prices Before and After 15 August

Segment pricing by platform (Zepto, Swiggy Instamart, etc.)

Compare August 10–14 prices vs. August 15–16 discounts

Insight Example:

Bingo Mad Angles 80g dropped from ₹30 to ₹20 (33.3% discount) on Swiggy Instamart.

This kind of data not only aids pricing strategy but also campaign planning, inventory decisions, and competitor benchmarking.

Platforms Covered by Food Data Scrape

The service includes comprehensive scraping for all leading Indian quick commerce platforms:

Zepto

Blinkit

BigBasket

Swiggy Instamart

JioMart

The system can also extract data from smaller regional grocery apps. Whether you're looking to analyze the price of dairy, beverages, or snacks, the Web Scraping Quick Commerce Data capabilities of Food Data Scrape can scale accordingly.

Web Scraping Tools Powering Independence Day Snack Deal Tracking

To extract and organize this seasonal data at scale, Food Data Scrape uses a combination of:

Real-time crawlers

Dynamic content extractors

Proxy rotation & captcha solvers

Cloud-based dashboards

Their Grocery Price Dashboard provides filters for:

Brand

Category (Snacks, Beverages, Dairy, etc.)

Date range

Platform

Bonus Feature: Get CSV/Excel outputs for integration into pricing engines or analytics dashboards.

Scrape Independence Day Snack Price Drop Data

Tracking price drop data isn’t just about collecting numbers—it's about collecting contextual insights. By using Food Data Scrape’s service to Scrape Independence Day Snack Price Drop Data, FMCG analysts can:

Spot aggressive discount trends

Predict stockouts based on low prices

Calculate effective margins post-promotion

Combined with Web Scraping August 15 Snack Discounts Data, the tools help brands create more reactive supply chains and smarter discount strategies.

Independence Day Grocery Discount Data Scraping: What Can Be Extracted?

Here’s a sample schema of the kind of data Food Data Scrape delivers:

Product Name ▸ Example: “Kurkure Masala Munch 100g”

SKU/Barcode ▸ Example: 8901491102324

Original Price ▸ MRP or listed price before discount

Discounted Price ▸ Effective price after discount is applied

Platform ▸ Example platforms: Zepto, Blinkit, Swiggy Instamart, etc.

Discount % ▸ Percentage drop between MRP and selling price

Date ▸ Scraped timestamp or the date when offer was active

This dataset is structured for analysts and can be delivered via JSON, CSV, or custom formats.

Benefit to Retailers: Scraping Snack Prices on India’s Independence Day

Retailers need to be nimble—especially during the festive calendar. With the Scraping Snack Prices on India’s Independence Day service by Food Data Scrape, grocery marketplaces can:

Audit competitor pricing

Spot underpriced inventory

Match discounts with suppliers

This lets them run smarter promotions during India's biggest sales spikes.

API Integration: Grocery Delivery Scraping API Services

For eCommerce and analytics platforms, Food Data Scrape offers Grocery Delivery Scraping API Services. This allows:

Live feed of snack price changes

Programmatic access for dashboards

Custom triggers for price alerts

You can connect your internal systems directly to the scraped data feed, enabling automation of pricing intelligence across SKUs and platforms.

How D2C Brands and Retail Chains Use Snack Price Drop Data

Today’s fast-moving snack brands—especially Direct-to-Consumer (D2C) companies—don’t wait for traditional market reports. Instead, they rely on real-time snack price tracker for Independence Day powered by Food Data Scrape.

Key Benefits for D2C Brands:

Monitor platform-specific discounts from competitors.

Detect when a competing SKU goes viral due to sudden price drops.

Automate promo planning based on real data.

Example:

A Mumbai-based startup selling millet chips noticed a 25% price drop on Lay’s variants across Blinkit and Swiggy Instamart between Aug 13–15. They immediately launched a flash sale to remain price-competitive.

Retail Chains and Q-Commerce: Adjusting in Real-Time

For grocery platforms like BigBasket or JioMart, tracking pricing across competitors helps them:

Optimize algorithms for visibility and cart conversions.

Negotiate better deals with FMCG suppliers.

Respond to high-velocity snack purchases on days like 15th August.

Through web scraping Raksha Bandhan and Independence Day festival sale data, retailers gain an edge during India’s high-volume shopping periods.

Grocery Price Dashboard: Visualize Snack Pricing Trends

Food Data Scrape offers a Grocery Price Dashboard with built-in analytics and time filters. This visual interface is ideal for:

Non-technical users in marketing and trade teams.

Category managers looking to spot SKU-level shifts.

Executives needing an overview of discounts by region or product line.

Dashboard Filters:

Platform: Choose from Zepto, Blinkit, BigBasket, etc.

Product Category: Snacks, Beverages, Dairy, etc.

Time Window: Daily, Weekly, Festival-wise

Price Change Range: >10%, >25%, etc.

Food Data Scrape vs Other Providers: Why It Stands Out

While many firms offer scraping services, Food Data Scrape is built specifically for:

High-volume, high-frequency price monitoring

Q-commerce & grocery-specific platforms

Snack/FMCG-focused SKU mapping and categorization

Additionally, Food Data Scrape maintains clean compliance standards and proxy-based distributed scraping, ensuring platforms like Zepto or Blinkit aren’t blocked or throttled.

Web Scraping Quick Commerce Data

Quick commerce (Q-comm) has exploded in India, especially during events like Independence Day. With Food Data Scrape’s solutions for Web Scraping Quick Commerce Data, brands can:

Track “Instant Deals” or “Flash Offers” during national holidays.

Compare platform-specific prices for the same product.

Create real-time alerts for sudden price drops.

Example Data Point

Product: Haldiram’s Soan Papdi 250g MRP: ₹90 Zepto Price on Aug 15: ₹70 Blinkit Price on Aug 15: ₹75 Swiggy Instamart: ₹68

This side-by-side view helps teams make rapid, informed decisions.

Scrape Snack Prices Before and After 15 August: Trend Examples

Let’s look at some before vs. after Independence Day snack price snapshots:

Parle-G 800g ▸ Platform: BigBasket ▸ Price Drop: ₹70 → ₹58 ▸ Drop %: 17.1%

Kurkure Green Chutney 60g ▸ Platform: Zepto ▸ Price Drop: ₹25 → ₹20 ▸ Drop %: 20%

Pepsi 500ml ▸ Platform: Blinkit ▸ Price Drop: ₹40 → ₹30 ▸ Drop %: 25%

Good Day Cashew Cookies 200g ▸ Platform: Swiggy ▸ Price Drop: ₹60 → ₹50 ▸ Drop %: 16.7%

Such data helps sales, operations, and brand managers plan across inventory, marketing, and delivery.

Scraping Snack Prices on India’s Independence Day

Why scrape prices only during peak festive hours? Because snack prices on 15 August change rapidly. One SKU may be ₹20 at 10 am and back to ₹28 by 4 pm.

Food Data Scrape’s tools ensure you’re not left behind.

The team supports:

Hourly scans of grocery delivery apps

Screenshot + timestamp record keeping

Platform-specific data extraction modules

This fits perfectly with the Scraping Snack Prices on India’s Independence Day and ensures no real-time shift is missed.

Grocery Delivery Scraping API Services: Build Your Own Tracker

If you’re a tech company or data analyst, you can use the Grocery Delivery Scraping API Services to build your own:

Snack Price Comparison Tool

Dynamic Product Tracker Widget

Independence Day Sales Heatmap

The API supports:

City-level data

Category-based endpoints

Real-time updates every 15 mins or hourly

Grocery App Data Scraping Services

Food Data Scrape's Grocery App Data Scraping Services allow clients to track thousands of snack SKUs from Zepto, Swiggy Instamart, Blinkit, and BigBasket. These are useful for:

Product launches

Flash sales

Loyalty price optimization

Influencer promotions (e.g. bundling Lay’s + Coke combo)

By feeding this data into apps or dashboards, marketing teams can immediately see what is working on India’s biggest sales day.

Industries Using Snack Price Drop Data

FMCG Brands ▸ Adjusting discounts to stay competitive.

Grocery Chains ▸ Planning purchases based on August 15 demand patterns.

Marketplaces ▸ Optimizing product display and promotions based on snack sales velocity.

Investors ▸ Evaluating sales trends before and after Independence Day to assess FMCG stock performance.

Final Call to Action: Ready to Track Snack Price Drops with Food Data Scrape?

If you're looking to scrape snack prices on Independence Day, monitor food item discounts, or build a real-time price dashboard, Food Data Scrape has the tools, APIs, and support you need.

Are you in need of high-class scraping services? Food Data Scrape should be your first point of call. We are undoubtedly the best in Food Data Aggregator and Mobile Grocery App Scraping service and we render impeccable data insights and analytics for strategic decision-making. With a legacy of excellence as our backbone, we help companies become data-driven, fueling their development. Please take advantage of our tailored solutions that will add value to your business. Contact us today to unlock the value of your data. Read More >> https://www.fooddatascrape.com/grocery-mobile-app-data-scraping.php

[actowizmetrics]

Why Smart Brands Choose Digital Shelf Analytics for Q-Commerce

Introduction

Quick commerce (Q-commerce) has transformed the grocery retail sector with ultra-fast delivery models and hyper-localized inventory. Brands are now challenged to deliver consistent stock availability, accurate pricing, and on-demand promotional visibility. This is where Digital Shelf analytics for Q-Commerce becomes essential.

The surge in eCommerce grocery apps and real-time micro-fulfillment hubs demands that brands adopt intelligent monitoring tools. With fragmented online shelf spaces across marketplaces and delivery apps, tracking dynamic prices, promotions, and availability is no longer optional—it's mission-critical.

According to industry data, over 62% of grocery Q-commerce sales in 2024 were influenced by digital shelf visibility, and SKU-level disruptions rose by 23% from 2020 to 2025 across top platforms. Tools like grocery delivery app shelf monitoring and Q-commerce grocery stock tracking are helping brands stay competitive with 24/7 insights.

This report outlines how Q-commerce leaders are turning to Lazada Product Data Scraper, AI analytics, and Digital Shelf analytics for Q-Commerce to unlock real-time agility and market edge.

Optimizing Promotions with AI-Driven Data Intelligence

The speed of Q-commerce demands real-time promotional precision. With AI-Driven grocery Promotional data analysis, brands can now monitor discount trends, flash sale timings, and promotional compliance across apps like Zepto, Blinkit, and Getir.

Promotional effectiveness often hinges on timing and visibility. Poorly executed promotions lead to lost margins and underperformance. Advanced AI analytics provides dashboards that monitor in-app placements, track compliance with planned discounts, and alert teams to discrepancies in real time.

Statistical Insight (2020–2025):

Promo compliance rates dropped from 84% in 2020 to a low of 76% in 2023, causing lost revenue to peak at $490 million. The trend then reversed, with compliance improving to a projected 82% by 2025 and lost revenue expected to fall to $370 million.

With predictive promotion mapping, brands can avoid margin leakage, correct pricing errors instantly, and evaluate campaign ROI in real time. These insights help brands plan efficient promotions and assess their competitors’ campaign success, enabling better budget allocation and more impactful flash sales.

Reducing Stockouts via Grocery Product Availability Tracking

In the high-velocity world of Q-commerce, product unavailability is not just a temporary inconvenience—it’s a recurring revenue drain. Grocery product availability tracking has become a critical capability for modern grocery brands operating on platforms like Blinkit, Instamart, and Zepto. Real-time monitoring of stock levels across dark stores, micro-fulfillment centers, and partner vendors ensures brands can proactively mitigate out-of-stock (OOS) situations before they impact customer loyalty.

Statistical Insights (2020–2025):

As more brands adopted availability trackers, the average stockout rate steadily decreased. The percentage of brands using these trackers rose from 18% in 2020 to an estimated 72% in 2025, which coincided with a significant drop in the average stockout rate from 11.3% in 2020 to an estimated 6.5% in 2025.

With real-time Q-commerce Analytics, brands can:

Detect low-stock SKUs across specific fulfillment zones

Reallocate inventory based on hyperlocal demand spikes

Optimize warehouse-to-store dispatch cycles

Generate alerts for replenishment before OOS occurs

For example, a leading FMCG brand leveraging real-time inventory tracking on Swiggy Instamart reduced its weekly stockouts by 27% within just two months. This led to a 12% uplift in fulfilled orders and over 8% improvement in customer retention metrics.

This transformation is further powered by Q-commerce grocery stock tracking tools that integrate APIs directly with retailer systems. These tools provide:

Daily stock level reports by SKU

Zone-wise fulfillment delay indicators

Predictive replenishment alerts

As Q-commerce players reduce delivery times to under 15 minutes, the pressure on brands to never miss peak demand has intensified. Missing shelf presence for even a few hours can mean losing hundreds of orders, especially during weekends or flash sales.

By investing in Digital Shelf analytics for Q-Commerce, brands can stay ahead of demand, ensure operational agility, and protect market share in an ultra-competitive grocery delivery landscape.

Minimize lost sales and boost fulfillment rates by using real-time grocery product availability tracking—ensure every SKU is always in stock when customers need it most! Contact Us Today!

Real-Time Q-Commerce Analytics: A Necessity, Not a Luxury

In the ultra-fast Q-commerce ecosystem, data that’s even a few hours old becomes obsolete. Grocery brands are now realizing that real-time Q-commerce Analytics is no longer optional—it’s a fundamental necessity. Whether it's dynamic pricing, last-mile fulfillment efficiency, or competitor tracking, acting on live data is the only way to maintain visibility and control in such a volatile, app-driven environment.

From dark store stock levels to price fluctuations on Zepto and Instamart, the industry has shifted from daily updates to minute-level decisions. Without real-time monitoring, brands risk delayed responses to stockouts, uncompetitive pricing, and missed promotional windows.

Key Performance Trends (2020–2025):

Based on the data, the company is projected to make significant improvements in its supply chain metrics between 2020 and 2025. The average update latency is expected to decrease sharply from 120 minutes to 5 minutes, while fulfillment accuracy is projected to increase from 89% to 97%. Additionally, the percentage of real-time decisions is estimated to more than triple, rising from 22% to 79%..

Platforms are updating their assortment, prices, and availability several times a day. Without Digital Shelf analytics for Q-Commerce, brands lag behind, often making decisions based on outdated snapshots. That’s where real-time dashboards and data feeds from Lazada app product data and other global sources come into play.

Real-time analytics capabilities include:

Instant pricing change alerts

Live inventory snapshots from multiple Q-commerce partners

Dynamic promo engagement reports

Zone-specific demand fluctuation indicators

By leveraging grocery delivery app shelf monitoring tools powered by AI, brands can automatically adapt their assortment and pricing in response to competitor behavior or sudden spikes in demand. These insights feed directly into supply chain, marketing, and product teams for coordinated execution.

One fast-moving brand used real-time Q-commerce Analytics to identify a sudden competitor stockout during a city-wide flash sale. Within minutes, they increased visibility and ad spend on that SKU in the affected zone—resulting in a 40% spike in sales that day.

This is the pace of modern Q-commerce. Brands that continue to rely on static dashboards or post-mortem reports are bound to lose to faster, data-equipped competitors. In the realm of grocery delivery, real-time visibility equals real-time advantage.

Gaining Edge with Assortment Visibility Across Markets

Understanding what’s available on the Q-commerce shelf, where, and why, is fundamental to staying relevant across cities. With Q-commerce assortment & availability insights, brands can benchmark their product availability across various markets, identifying duplicates, gaps, and local mismatches that affect revenue.

Assortment visibility provides detailed intelligence on:

Underperforming SKUs

Regional listing inconsistencies

Category saturation vs. opportunity

Data Table – SKU Availability Across Metro Cities (2024):

Brands deploying SKU-level tracking for grocery brands can tailor strategies based on hyperlocal preferences. For example, a SKU that sells well in Mumbai might underperform in Chennai due to lack of relevance, supply chain delays, or competitor pricing.

This granular view allows for:

Targeted promotions by city or ZIP code

Prioritized inventory for trending items

Optimized supply chain resource allocation

Using Lazada app data extraction, brands can collect and analyze assortment data from a region-specific lens—helping them identify unique or duplicated listings, pricing differences, or missed category opportunities. Especially for startups entering Southeast Asian markets or replicating Q-commerce playbooks in the U.S., this level of insight informs not just retail strategy but also product innovation and demand forecasting.

Driving Revenue with Dynamic Pricing and Q-Commerce Strategy

Q-commerce thrives on rapid decisions. With multiple pricing events per day—driven by flash sales, competitor movements, and customer demand—brands must adopt a Dynamic pricing strategy for quick commerce. Static pricing models simply can’t keep up.

Yearly Pricing Adaptation Trends:

Brands that dynamically adjust prices in real-time see higher margins, fewer cart abandonments, and increased conversions. AI tools can monitor:

Competitor price drops across apps

Time-of-day price sensitivity

Surge-based pricing opportunities

When combined with grocery delivery app shelf monitoring, brands can execute price changes directly on the platforms or via product feeds. This immediate alignment with market behavior minimizes lost sales and strengthens visibility during peak buying windows.

Platforms like Zepto and Lazada change pricing several times per day. By using solutions like Lazada Product Data Scraper and integrating with a Lazada Data Scraping API, brands receive real-time alerts on these changes—empowering them to auto-adjust and stay competitive.

The result? More efficient promotions, higher ROI per SKU, and better alignment with customer expectations across every zone of operation.

Maximize margins and stay ahead of price wars with real-time dynamic pricing strategies—perfect for Q-commerce brands navigating fast-changing demand and competitor shifts. Contact Us Today!

Scrape Competitor Digital Shelf Data for Strategic Insights

In Q-commerce, you’re not just fighting for price—you’re competing on product visibility, reviews, availability, and even delivery time. That’s why brands now Scrape Competitor Digital Shelf data to decode market movement across apps like Blinkit, Dunzo, and Lazada.

Competitor scraping reveals:

Product matches and pricing gaps

Star rating discrepancies

Promo overlap

Category saturation

Benefits include:

Instant product matching for market parity

Review sentiment analysis to gauge consumer response

Competitor out-of-stock detection to capitalize on lost opportunities

Trend-based launch planning for new items

By leveraging Q-commerce grocery stock tracking, brands gain visibility into SKU fluctuations at a city or even ZIP-code level. Say a major competitor goes out of stock in Bengaluru for a trending snack item—brands with real-time shelf tracking can respond with promotions or increase their ad bids to capture demand.

American startups expanding into Asia can now access Lazada data for U.S. startups, enabling them to mimic successful product mixes and avoid oversaturated categories. With Lazada analytics for startup market research, they get strategic insights into what’s working at a hyperlocal level—even before entering a new market.

Integrating Web Scraping Lazada Data into a centralized platform empowers these businesses to make high-confidence decisions across merchandising, digital marketing, and logistics.

How Actowiz Metrics Can Help?

Actowiz Metrics provides AI-powered Web Scraping Services and Digital Shelf analytics for Q-Commerce, offering enterprise-grade tracking solutions for grocery brands. With tools like:

Lazada app product data insights

Lazada app data extraction modules

Lazada Data Scraping API for rapid integration

Actowiz enables brands to access deep product analytics, real-time shelf monitoring, and predictive price trends across hundreds of grocery delivery apps. Whether you aim to optimize promotions, reduce stockouts, or implement a dynamic pricing engine, we provide end-to-end support powered by the Power of Lazada API Data Sets and market-driven intelligence.

Conclusion

The competitive edge in 2025 lies in visibility. Brands that embrace Digital Shelf analytics for Q-Commerce are outperforming peers through intelligent stock management, optimized pricing, and hyper-targeted promotions. With grocery delivery app shelf monitoring and real-time dashboards, decision-makers now act in minutes—not days. At Actowiz Metrics, we empower grocery brands to lead in the Q-commerce race using real-time analytics, API integrations, and Web Scraping lazada Data solutions. Start leveraging actionable insights today. Ready to scrape smarter, optimize faster, and win in the world of Q-Commerce? Contact Actowiz Metrics for a tailored demo now!

Learn More: https://www.actowizmetrics.com/digital-shelf-analytics-for-q-commerce-brands.php

Orignally Published at: www.actowizmetrics.com

[growthvistablog]

Q1 Earnings to Watch on July 28: BEL, Adani Green, IndusInd Bank & More

Introduction

July 28 is poised to be a blockbuster day for India’s corporate earnings. With over 70 companies lined up to report their Q1 FY2025-26 results, the day promises a data-rich environment for investors, analysts, and traders. These results offer insights into how businesses are adjusting to a changing economic landscape — including post-election policies, inflationary pressures, and global uncertainties.

Why These Q1 Results Matter

Quarterly earnings aren’t just financial snapshots — they tell stories of market resilience, strategy execution, and industry trends. The Q1 numbers are especially crucial as they reveal how companies have responded to:

Evolving policy frameworks post Budget 2025

Interest rate trends and inflation impacts

Domestic demand revival and sectoral tailwinds

Expect these results to influence:

Stock price movements

Sectoral momentum

Future earnings guidance and analyst sentiment

Key Sectors & Companies to Track

🚀 Defence & Aerospace

BEL (Bharat Electronics Ltd) – A strategic play in India’s defence modernization.

Apollo Micro Systems – Watch for traction in aerospace electronics and defence contracts.

🌞 Renewable & Energy

Adani Green Energy – Capacity expansion, project wins, and debt position in focus.

Waaree Energies – Signals from solar manufacturing demand.

NTPC Green Energy – Performance will reflect the green energy shift of legacy players.

Adani Total Gas – Urban infrastructure and natural gas volume trends.

Surana Solar – Smaller cap with margin and order book relevance.

💊 Pharmaceuticals & Healthcare

Torrent, Ajanta, Piramal Pharma – Focus on generics, chronic therapies, and international markets.

Zenotech, Bajaj Healthcare – Contract manufacturing and API performance.

Vijaya Diagnostics – Diagnostic growth beyond metros.

Astec Lifesciences – Agrochemical demand amid food inflation.

🏦 Banking, Finance & Insurance

IndusInd Bank – Loan book growth, NPAs, and interest margins.

Nippon Life AMC – SIP momentum and mutual fund penetration.

Go Digit Insurance – Digital disruption in general insurance.

Five-Star Business Finance, Fedbank – Credit growth and lending quality in NBFC space.

IIFL Capital Services – Trading volumes and wealth management trends.

🏗️ Infrastructure, EPC & Telecom

Mazagon Dock – Naval order book and execution.

KEC International – Signals from infra and railway capex.

Railtel Corporation – Growth in telecom infra under Digital India.

Consolidated Construction Consortium – Proxy to real estate and infra health.

🚘 Auto & Engineering

Motherson Sumi Wiring – Export-driven wiring kits and OEM demand.

CarTrade Tech – Digital monetization and used car demand.

Kinetic Engineering – Revival potential in two-wheelers and EV ventures.

TRF Ltd (Tata Group) – Infrastructure logistics and order delivery.

🛍️ Consumer Goods, Retail & Real Estate

TTK Prestige, Flair Writing – Urban demand revival in household and stationery.

Arvind Fashion & Arvind SmartSpaces – Branded retail and mid-income housing demand.

Golden Crest Education – Focus on skilling, education tech, and regional expansion.

⚗️ Chemicals & Fertilisers

Gravita, Archean, Paradeep Phosphates – Global pricing trends and volume growth.

Laxmi Organic, Punjab Chemicals – Impact of demand from pharma, textiles, and agri inputs.

Mangalore Fertilisers – Fertilizer demand in key agri belts.

Big Names Reporting This Week

In addition to July 28, other high-impact results this week include:

Larsen & Toubro

NTPC

Asian Paints

Bank of India

Maruti Suzuki

Mahindra & Mahindra

Hindustan Unilever (HUL)

Sun Pharma

ITC

Tata Power

Godrej Properties

Hyundai India

Swiggy (unlisted)

ABB India

These companies can significantly move the Nifty 50, sectoral indices, and shape market sentiment.

What Investors Should Focus On

Revenue growth vs. cost controls

Margins and input cost impact

CapEx, expansions, and future guidance

Debt-to-equity ratio

Dividend, bonus, or buyback announcements

Management commentary for FY25 and beyond

Analyst Outlook

Experts expect:

A revival in domestic demand across FMCG, banking, infra, and healthcare

Strong earnings from capital goods, defence, and niche NBFCs

Potential headwinds from global slowdown and elevated interest rates

Conclusion

July 28 isn’t just another earnings day — it's a condensed look at India’s economic direction through corporate lenses. With insights from over 70 companies, it's a key opportunity for retail investors and institutions alike to recalibrate their market outlook. Track the numbers, analyze the commentary, and stay ahead.

Disclaimer

The content above is meant for informational purposes only. It does not constitute financial, legal, or investment advice. Please consult a SEBI-registered advisor before making any investment decisions. The author assumes no responsibility for investment outcomes based on this information.

[actowizsolutions0]

Why Regional Data Powers India’s Hyperlocal Marketing Growth

Introduction: India Is Not One Market — It's 1,000+

India’s retail and digital economy is massive, but it’s not uniform. A product that sells in Mumbai might flop in Lucknow. Pricing that works in Bangalore might not convert in Patna. Language, culture, income level, and online behavior vary dramatically — sometimes even within the same city.

That’s why regional data extraction is now essential to any brand trying to win in India’s competitive digital market. It helps you go hyperlocal — by uncovering pin code-level insights that drive smarter pricing, product availability, campaign targeting, and demand forecasting.

This blog breaks down how Actowiz Solutions is helping major Indian and global brands use real-time regional web scraping APIs to fuel hyperlocal marketing at scale.

What Is Regional Data Extraction?

Regional data extraction refers to the automated collection of market-specific data like:

Product prices by pin code

Stock availability across cities

Delivery timelines by location

Platform-specific offers

City-based search & demand trends

Consumer review sentiment by region

Actowiz Solutions extracts this data from:

Grocery apps (Blinkit, Zepto, BigBasket)

Marketplaces (Amazon, Flipkart, Meesho)

Food delivery apps (Swiggy, Zomato)

OTT platforms (Netflix, Hotstar)

Travel platforms (MakeMyTrip, Redbus)

D2C brand websites (Mamaearth, Boat, etc.)

Why It Matters: Regional = ROI

Generic national marketing is outdated. The new rule? Personalization by location.

Here’s why regional data matters:

Pricing

Traditional: One price for all

Regional Data: Price customized by pin code or city

Promotions

Traditional: Blanket, uniform offers

Regional Data: Tailored promotions based on local demand

Inventory Decisions

Traditional: Centralized planning assumptions

Regional Data: Driven by real-time local stock and demand

Ad Targeting

Traditional: Based on language or city

Regional Data: Real-time, product-level targeting

Consumer Behavior

Traditional: Relies on periodic surveys

Regional Data: Live-tracked trends from scraped data

Sample Data: Regional Grocery Price Differences

Here’s real sample data extracted via Actowiz’s API from Blinkit:

Mumbai (Pincode: 400001)

Platform: Blinkit

Price: ₹268

Stock: Yes

Delivery Time: 10 mins

Ahmedabad (Pincode: 380015)

Platform: Blinkit

Price: ₹254

Stock: No

Delivery Time: —

Delhi (Pincode: 110096)

Platform: Blinkit

Price: ₹260

Stock: Yes

Delivery Time: 20 mins

Bengaluru (Pincode: 560001)

Platform: Zepto

Price: ₹272

Stock: Yes

Delivery Time: 15 mins

Insight: Ahmedabad faces a stockout, while Bengaluru shows the highest price. Mumbai offers the fastest delivery.

Use Cases by Industry

FMCG & Grocery Brands

Track SKU pricing across Blinkit, BigBasket, Zepto

Monitor delivery delays, stockouts in target regions

Align ads with city-wise discount visibility

D2C & eCommerce

Match Amazon/Flipkart pricing by region

Automate competitive ad bidding only in locations with opportunity

Detect reseller undercutting (below MRP)

Food Delivery Chains

Scrape Swiggy/Zomato menu prices across cities

Map reviews & demand for each outlet

Detect top-selling items city-wise

OTT & Media

Monitor regional trailer views

Scrape city-wise trending genres

Feed insights into content localization

Travel, Mobility, and Logistics

Compare Uber/Ola surge pricing by time/city

Track Redbus ticket pricing patterns

Adjust fares, incentives, or demand-side marketing

Real-Time Dashboard (Actowiz Solutions View)

Actowiz offers custom dashboards showing:

Mumbai

Avg Discount: 6.2%

SKU Stockouts: 8%

Delivery ETA: 12 mins

Top-Selling SKU: Maggi Noodles

Delhi

Avg Discount: 5.1%

SKU Stockouts: 12%

Delivery ETA: 18 mins

Top-Selling SKU: Tata Salt

Hyderabad

Avg Discount: 4.9%

SKU Stockouts: 6%

Delivery ETA: 14 mins

Top-Selling SKU: Aashirvaad Atta

Pune

Avg Discount: 6.8%

SKU Stockouts: 10%

Delivery ETA: 10 mins

Top-Selling SKU: Real Juice

You get automated updates via API or in Power BI, Tableau, or Looker.

Case Study: Hyperlocal Ad Optimization for a Beverage Brand

Problem: A beverage brand was running a flat ₹20 off campaign across 30 cities. Sales spiked in a few, but ROI was poor in others.

Solution:

Actowiz extracted Blinkit/Zepto prices for the SKU in all 30 cities

Identified that 12 cities already had active platform discounts

Suggested reallocating media spend to 8 uncovered cities

Result:

Campaign ROI improved by 38%

Platform discount duplication avoided

Media budget optimized using real-time, regional price signals

How Actowiz Solutions Makes It Happen

Our stack includes:

Custom-built scraping engines

Geo-targeted proxy routing (for pin code-specific catalog access)

Real-time API feeds

Interactive dashboards & Slack alerts

Scalable pipelines for 1000+ SKUs daily

Coverage:

500+ cities in India

50K+ FMCG, retail, travel, and grocery products

Scraped every 1–6 hours

Ethical Scraping: Our Promise

Big brands care about legal compliance. So do we.

Public data only

No login or PII scraping

robots.txt respected

TOS-aware scraping

ISO 27001 practices (if needed)

Who Should Use Regional Data?

Brand Managers – Regional promotions & pricing intelligence

Performance Marketers – City‑level campaign optimization

Category Heads – SKU gaps, price competition, stock‑out detection

Business Analysts – Dashboards, forecasting, demand heat‑maps

Field Sales Teams – Stock‑out alerts, pricing support, territory tracking

And Actowiz Solutions is ready to power that edge — one pin code at a time.

Contact Us Today!

Final Takeaway: Hyperlocal Wins, and Regional Data Powers It

In a country where every neighborhood buys, browses, and budgets differently, marketing success is no longer about national reach — it’s about local resonance. Whether you sell noodles, soaps, smartwatches, or train tickets, regional data will give your brand an unfair advantage. 

Learn More >> 

[foodspark-scraper]

Foodspark is the best Zomato 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.

[actowizdatasolutions]

🚀 Unlock Real-Time Menu Intelligence with Swiggy Web Scraping API from Actowiz Solutions!

In today’s competitive food delivery landscape, gaining access to structured, up-to-date data is no longer optional—it’s a necessity. Our Swiggy Web Scraping API helps you extract critical information such as:

🍽️ Restaurant Menus – Track evolving food offerings across Indian cities. 💲 Menu Pricing – Monitor changes in pricing, combos, and promotional deals. 🚚 Delivery Details – Analyze delivery charges, timing estimates, and availability. ⭐ Customer Reviews – Understand sentiment, feedback patterns, and ratings.

💼 Who Can Benefit?

Food Tech Startups analyzing competitive menus and delivery benchmarks

QSR Chains & Cloud Kitchens optimizing pricing and location-based offerings

Market Analysts & Research Firms studying urban food consumption trends

FMCG & CPG Brands looking to identify menu partnerships or integration opportunities

Whether you're enhancing your analytics engine or fueling business expansion, our Swiggy Scraping API offers the edge you need for data-driven growth.

📊 Ready to get started? Explore the possibilities with Actowiz Solutions → www.actowizsolutions.com

[crawlxpert01]

Scraping Zomato and Swiggy to Compare Food Prices Across Restaurants in Real Time

Introduction

In the fast-paced business of food delivery, price comparison remains a central customer triggering factor. In markets like India dominated by Zomato and Swiggy in the food delivery space, restaurants need real-time pricing information to stay ahead of their competitors. Web scraping provides a good avenue to get food prices across various restaurants to make informed decisions.

This blog predominantly covers the application of web scraping to compare food prices on Zomato and Swiggy, the methodology involved, the challenges faced in this endeavor, and the ethical implications.

The Need for Real-Time Price Comparison

1. Understanding Market Trends

Detect the time when consumers have high prices in different locations.

Find seasonal price increases with seasonal fluctuations in demand.

2. Obtaining Competitive Advantage

Restaurants can dynamically change their menu rates when monitoring competitors for price purposes.

Help run the right promotions and discounts.

3. Increasing Customer Retention

Competitive pricing would cause customers not to leave a restaurant with a similar offering outside.

Analyzing competitors' packages and combos can provide better-priced strategies.

How Web Scraping Works for Zomato and Swiggy

1. Key Data Fields to Extract

To compare food prices effectively, restaurants need to extract the following information:

Restaurant Name – Identify competing restaurants.

Menu Items – Extract food items offered by competitors.

Prices – Compare prices of similar items.

Discounts & Promotions – Analyze special offers available.

Delivery Charges – Understand the total cost to customers.

Customer Ratings – Evaluate pricing impact on customer satisfaction.

2. Methods of Scraping Food Prices

a. Web Scraping Techniques

Using Python Libraries: Scrapy, BeautifulSoup, and Selenium can help extract price data from food delivery websites.

Headless Browsers: Tools like Puppeteer and Playwright help in scraping dynamic content.

APIs (If Available): Some platforms may offer APIs for retrieving structured pricing data.

b. Using Third-Party Data Providers

Web scraping services like CrawlXpert can automate the data collection process.

Cloud-based scraping tools such as ParseHub and Apify offer easy solutions for price comparison.

Challenges and Solutions in Scraping Zomato and Swiggy

1. Anti-Scraping Measures

IP Blocking: Platforms often block repeated automated requests.

CAPTCHAs: Additional security layers prevent bots from accessing data.

Dynamic Content Loading: JavaScript-rendered pages make data extraction difficult.

Solutions:

Use rotating proxies to avoid detection.

Implement headless browsing to mimic real user interactions.

Use CAPTCHA-solving services to handle security barriers.

2. Data Accuracy and Management

Frequent menu updates can lead to outdated scraped data.

Storage and structuring require efficient database management.

Solutions:

Schedule regular scraping intervals to update price comparisons.

Store extracted data in well-structured SQL or NoSQL databases.

Ethical and Legal Considerations

Always adhere to robots.txt guidelines of Zomato and Swiggy.

Avoid overloading servers with excessive requests.

Ensure data usage complies with legal and ethical standards.

Conclusion

Real-time food price observation from Zomato and Swiggy, for example, is achieved through web scraping. Automated scraping and ethical practices of data extraction can help restaurants refine their prices and become more competitive with their opposing dealers in the food delivery market.

For businesses that want their data extracted hassle-free, platforms such as CrawlXpert provide clients with weekly expert services in web scraping, leaving the restaurant with verified actionable insights helping them optimize their pricing strategies.

Know More : https://www.crawlxpert.com/blog/scraping-zomato-and-swiggy-to-compare-food-prices

[fooddatascrape998]

Scrape August Grocery Offers: Zepto vs Instamart Deals

Scrape August Grocery Offers from Zepto vs Instamart : Which One’s Cheaper?

Introduction

As August unfolds, Indian households are already preparing for the upcoming festive season, weekly restocks, and mid-month promotions. With quick commerce platforms booming, it’s important to scrape August grocery offers from Zepto vs Instamart to identify where real savings lie. Consumers and brands alike are eager to understand which app delivers better deals on essentials.

At Food Data Scrape, we provide intelligent Grocery App Data Scraping Services that allow businesses to monitor discounts, flash deals, and pricing trends across multiple apps. Our technology helps you extract structured data from grocery platforms in real-time, enabling data-driven decisions for brands, retailers, and analytics firms.

With August just beginning, historical patterns and early signs suggest a surge in discounts, especially in the quick commerce space. Through August grocery discount scraping from quick commerce apps, stakeholders can predict shopping behavior and adjust pricing, promotions, and inventory strategies accordingly.

This blog explores how to extract August month discounts on Zepto & Instamart using advanced web scraping. From limited-time offers to bundle packs and seasonal deals, scraping price data provides a competitive edge to businesses looking to optimize campaigns, identify trends early, and improve ROI.

Why Scrape August Grocery Offers from Quick Commerce Apps?

Quick commerce apps like Zepto and Instamart are changing how India shops—delivering essential groceries within 10–15 minutes. But as more users compare platforms for prices before making a purchase, the need for August grocery discount data scraping has become crucial.

Whether you're a:

Consumer seeking best-value buys,

Brand monitoring competitors,

Retailer benchmarking product pricing,

Or a data analyst tracking trends,

you can’t rely on manual checks anymore. This is where web scraping quick commerce data becomes a strategic advantage.

Food Data Scrape: Your Partner in Grocery Price Intelligence

Food Data Scrape is India’s go-to solution for grocery app data scraping services. Using automated crawlers and APIs, they extract data from platforms like Zepto, Swiggy Instamart, Blinkit, and BigBasket with precision and consistency.

Their Zepto Grocery Delivery Scraping API and Swiggy Instamart Grocery Delivery Scraping API provide:

Product titles and brand names

Weights, MRP, and discounted prices

Active promotions or combo deals

Delivery availability per location

Real-time or scheduled data collection

Sample Output (JSON, predicted for August 5, 2025):

From Zepto:{ "product_name": "Aashirvaad Select Atta 5kg", "original_price": 345, "discounted_price": 309, "discount_percent": "10%", "delivery_eta": "12 mins", "platform": "Zepto" }

From Instamart:{ "product_name": "Aashirvaad Select Atta 5kg", "original_price": 345, "discounted_price": 315, "discount_percent": "9%", "delivery_eta": "14 mins", "platform": "Instamart" }

In this case, Zepto offers a better price and faster delivery.

Scrape August Food Deals from Zepto and Swiggy Instamart: What Categories Are Hot?

Food Data Scrape extracted early August data across key grocery categories to assess which platform is offering better deals.

Categories Monitored:

Staples (Atta, rice, dals)

Snacks (Chips, biscuits, chocolates)

Dairy (Milk, curd, butter, cheese)

Beverages (Tea, coffee, cold drinks)

Home Care (Detergents, cleaners)

Breakfast Items (Bread, cereals, spreads)

Packaged Foods

Staples Showdown: Zepto vs Instamart

Fortune Basmati Rice 5kg

Zepto Price: ₹510

Instamart Price: ₹529

Winner: ✅ Zepto

Tata Toor Dal 1kg

Zepto Price: ₹129

Instamart Price: ₹121

Winner: ✅ Instamart

Aashirvaad Atta 5kg

Zepto Price: ₹309

Instamart Price: ₹315

Winner: ✅ Zepto

Instamart tends to push heavier discounts on pulses, while Zepto offers bundled savings on flour and rice.

August Grocery Discount Data Scraping from Instamart reveals that pulse pricing may drop further around Independence Day.

Dairy Products: A Close Battle

Amul Butter 500g

Zepto Price: ₹259

Instamart Price: ₹269

Winner: ✅ Zepto

Mother Dairy Curd 400g

Zepto Price: ₹48

Instamart Price: ₹46

Winner: ✅ Instamart

Britannia Cheese Slices

Zepto Price: ₹125

Instamart Price: ₹124

Winner: ✅ Instamart

Dairy is competitive. Here, Extract Grocery Discount Data Scraping from Zepto shows consistent markdowns on butter and ghee, while Instamart focuses on curd and cheese.

Snacks & Packaged Foods: Zepto Takes the Lead

Lay’s Chips (90g)

Zepto Price: ₹38

Instamart Price: ₹41

Winner: ✅ Zepto

Hide & Seek Biscuits

Zepto Price: ₹25

Instamart Price: ₹27

Winner: ✅ Zepto

Maggi 12-pack Combo

Zepto Price: ₹140

Instamart Price: ₹149

Winner: ✅ Zepto

If you’re looking to Scrape August Grocery Offers Data from Zepto & Instamart in the snack category, Zepto is the clear winner based on initial trends.

Extract August Month Discounts on Zepto & Instamart

As the festive period heats up, platforms are expected to update prices dynamically every 48–72 hours. That’s why continuous data scraping is essential—not just one-time snapshots.

Use Cases Powered by Food Data Scrape:

Retail chains adjusting in-store pricing to compete

FMCG brands tracking product positioning

Marketplaces building offer comparison engines

Media/PR firms writing offer-based content dynamically

Whether you're scraping food deals or want to scrape the cheapest grocery deals in August, Food Data Scrape delivers structured and searchable data ready for action.

Sample Bulk Output: CSV Format (August 4 Predictions)

Tata Tea Premium 500g

Brand: Tata

MRP: ₹240

Discounted Price: ₹218

Platform: Instamart

Category: Beverages

Vim Dishwash Bar 3pc

Brand: HUL

MRP: ₹45

Discounted Price: ₹39

Platform: Zepto

Category: Cleaning

Kissan Jam 500g

Brand: Kissan

MRP: ₹145

Discounted Price: ₹135

Platform: Instamart

Category: Breakfast

This kind of granular data allows businesses to run their own August price drop trackers and grocery market intelligence dashboards.

Scrape Cheapest Grocery Deals in August: Combo Packs, Loyalty Discounts & Flash Offers

When it comes to scoring the lowest prices in August, standalone product discounts are just the beginning. A key tactic both Zepto and Instamart deploy is combo pack bundling—where two or more items are offered at a lower combined price.

Thanks to Grocery App Data Scraping Services provided by Food Data Scrape, here are a few predicted combo deals expected to drop between August 6–10, 2025:

Amul Butter 500g + Bread Loaf

Zepto Price: ₹299

Instamart Price: ₹308

Savings: ₹9

Winner: Zepto

Maggi 12 Pack + Tomato Ketchup 500g

Zepto Price: ₹178

Instamart Price: ₹185

Savings: ₹7

Winner: Zepto

Surf Excel 1kg + Vim Bar Combo

Zepto Price: ₹242

Instamart Price: ₹239

Savings: ₹3

Winner: Instamart

These predictions are based on early-week scraping runs and indicate a clear push toward bundling essentials to drive basket sizes higher.

Notably, Swiggy Instamart often layers these bundles with Instamart Super Rewards, offering additional 5–10% cashback, which can be tracked via Swiggy Instamart Grocery Delivery Scraping API.

Weekly Trends: How Discounts Change Every 3 Days in August

Another powerful insight from August Grocery Discount Scraping from Quick Commerce Apps is that discounts follow a rhythm:

Days 1–3 of August – Small markdowns (2–5%), test runs

Days 4–10 – Pre-Independence Day price drops (8–12%), stock clearances

Days 11–15 – Peak discounts around August 15 (up to 15–18%)

Days 16–20 – Raksha Bandhan flash offers (bundle & gift packs)

Days 21 onwards – Reset to baseline or platform-specific rewards

Extract August Month Discounts on Zepto & Instamart over these timelines to maximize insights. Food Data Scrape enables automated scheduling of scrapers to check for price changes every 6 or 12 hours.

Use case: Retailers running programmatic ads can sync their pricing dynamically with platforms by leveraging real-time feeds from Food Data Scrape’s scraper engine.

Extract Grocery Discount Data Scraping from Zepto: Accuracy Meets Speed

One of the most challenging parts of scraping Zepto is the app’s high-speed UI and geo-locked pricing. Food Data Scrape handles this through:

City-wise instance emulation (scraping offers from Mumbai, Bangalore, Pune separately)

Price variance tracking over a product’s lifecycle in a month

Category classification (Snacks > Chips > Multigrain Chips)

Sample extract from Mumbai region (Predicted August 7):

[ { "product": "Too Yumm Multigrain Chips 85g", "original_price": 40, "discounted_price": 32, "category": "Snacks > Chips", "platform": "Zepto" }, { "product": "MDH Kitchen King Masala 100g", "original_price": 75, "discounted_price": 67, "category": "Spices", "platform": "Zepto" } ]

Extract Grocery Discount Data Scraping from Instamart: What’s Unique?

Swiggy Instamart has been known to run location-based promotions, often offering the same product at different rates in different cities. Their strength lies in:

High-frequency flash discounts

Personalized bundles and cashback

Tiered delivery charges based on cart value

Example: In Delhi on August 4, users saw this:{ "product": "Tata Salt 1kg", "price": "₹24", "offer": "10% OFF for Swiggy One users", "delivery": "Free above ₹99", "platform": "Instamart" }

With web scraping quick commerce data, users or analysts can decode where platform-specific loyalty programs intersect with product pricing.

Final Verdict: Zepto or Instamart—Which Is Cheaper in August?

Overall Winner (Week 1–2 Insights):

Average Discount % (Top 30 SKUs)

Zepto: 10.2%

Instamart: 8.6%

Bundle Savings

Zepto: Better

Instamart: Average

Loyalty Discounts

Zepto: Limited

Instamart: Stronger

Delivery Consistency

Zepto: High

Instamart: Medium

Based on scraping data from Aug 1–4 and forecasted pricing for Aug 5–10, Zepto edges out Instamart in overall affordability, especially in snacks, staples, and home care products.

That said, Instamart’s Swiggy One benefits and curated bundles may appeal to users focused on premium loyalty perks and city-specific deliveries.

Scrape August Grocery Offers from Quick Commerce Apps with Food Data Scrape

If you're in the business of tracking prices, forecasting festive trends, or building data dashboards for retail, look no further than Food Data Scrape.

Their services empower:

Price intelligence tools for e-commerce

Market research teams for FMCG brands

Retailers syncing store pricing with digital

Shopping comparison sites & browser extensions

Services Include:

Scrape August Food Deals from Zepto and Swiggy Instamart

Extract August Grocery Discount Data Scraping from Instamart

Extract Grocery Discount Data Scraping from Zepto

Custom scripts and scraping dashboards

Scalable APIs for thousands of SKUs daily

Conclusion

Whether you're an FMCG marketer, tech founder, analyst, or even a content creator, staying ahead of India’s grocery price trends in August requires automation and accuracy.

Are you in need of high-class scraping services? Food Data Scrape should be your first point of call. We are undoubtedly the best in Food Data Aggregator and Mobile Grocery App Scraping service and we render impeccable data insights and analytics for strategic decision-making. With a legacy of excellence as our backbone, we help companies become data-driven, fueling their development. Please take advantage of our tailored solutions that will add value to your business. Contact us today to unlock the value of your data.

Read More >> https://www.fooddatascrape.com/grocery-mobile-app-data-scraping.php

[actowizmetrics]

Q-Commerce 2025: Why FMCG Brands Must Track Hyperlocal Data

Introduction

The Quick Commerce (Q-Commerce) revolution is reshaping how groceries and essentials are delivered — and purchased. With platforms like Zepto, Blinkit, Swiggy Instamart, and Dunzo offering 10–30 minute deliveries, the competition is no longer national — it's hyperlocal.

For FMCG brands, understanding how pricing, availability, and demand shift by city and even by pin code is essential to staying relevant in 2025. That’s where Actowiz Metrics comes in — delivering real-time hyperlocal data scraping for next-gen decision-making.

What Is Hyperlocal Data in Q-Commerce?

Hyperlocal data refers to insights that are specific to:

City level (e.g., Mumbai, Delhi, Bengaluru)

Pin code or area-level (e.g., 110092 vs 110003)

Time of day/week (e.g., peak ordering hours)

Platform-level availability & pricing (e.g., Zepto vs Blinkit for the same SKU)

This helps FMCG brands:

Run targeted promotions

Track SKU demand shifts

Optimize pricing city-wise

Compare serviceability gaps across platforms

Q-Commerce Trends Dominating 2025

1. Surge in Tier-2 City Expansion

Zepto and Blinkit are expanding rapidly into cities like Lucknow, Indore, Jaipur, Surat. Hyperlocal pricing and availability is now critical for success in these regions.

2. Dynamic Pricing by Region

Blinkit and Zepto show different prices for the same product in Mumbai vs Delhi based on stock, partnerships, or surge demand.

3. Stock-Based Visibility

Many items disappear from search if out of stock. Actowiz Metrics tracks these changes in real-time, helping brands track OOS trends.

4. Platform-Specific Offers

Product bundles and discounts vary widely between apps. Example: Buy 2 Get 1 on Blinkit; Flat 10% Off on Zepto.

5. FMCG Brand Tie-Ups with Q-Commerce Apps

Brands now sign exclusive launch or discount partnerships — requiring constant competitive tracking.

Use Cases for FMCG & Retail Teams

📍 Pin Code-Level Pricing Optimization

📊 Geo-based Stock Out Alerts

🛒 Bundle Offer Monitoring Across Platforms

📈 Competitor Brand Discount Tracking

🧠 AI Forecasts on Demand Spike by Region

Why Actowiz Metrics?

✅ Real-Time Hyperlocal Data APIs

✅ Multi-city and Multi-platform Scraping

✅ Dynamic Offer Monitoring

✅ Custom Alerts for OOS, Price Drop, Availability

✅ Dashboards to Benchmark SKU Performance

Strategic Impact for FMCG Brands

Adjust pricing dynamically by region

Launch city-based campaigns

Detect underperforming SKUs at area level

Map gaps in delivery coverage (Zepto vs Instamart)

Conclusion

In 2025, the battle for FMCG dominance isn’t national — it’s fought pin code by pin code. With Actowiz Metrics’ Q-Commerce scraping tools, brands gain access to the hyperlocal intelligence needed to win in India’s ultra-competitive grocery delivery space.

Explore our live dashboards or book a demo to see how we can help your brand own the hyperlocal advantage. Learn More

[productdata]

Benefits of a Web Scraping API for All India-Based Grocery Items

Introduction

India's grocery retail sector is evolving quickly, shaped by shifting local demand, regional consumption patterns, and highly dynamic pricing. With millions of SKUs across platforms, staying updated with reliable and structured data has become crucial for businesses operating in this space. From neighborhood Kirana stores to large e-commerce platforms like Bigbasket, Jiomart, Blinkit, Zepto, and Instamart, the grocery ecosystem in India is vast and constantly changing. This has created a surge in demand for the Web Scraping API for all India-based Grocery Items, which offers a real-time and scalable solution for gathering structured data from multiple online sources.

Extract API for all India-Based Grocery Items to automate data collection processes, track competitive pricing, monitor stock levels, and gain deep insights into customer buying behavior. These APIs help organizations streamline their operations by delivering clean, structured, and real-time data that can be used across departments—marketing, logistics, procurement, and analytics. Whether adjusting regional pricing, launching time-sensitive campaigns, or ensuring product availability, the Web Scraping API for all India-based Grocery Items empowers businesses with the intelligence they need to make data-driven decisions in a competitive, fragmented retail market.

Why Does India's Grocery Sector Need Web Scraping APIs?

India's grocery market is projected to surpass $800 billion by 2025, with online grocery platforms rapidly gaining traction across urban and semi-urban areas. With over a billion consumers and region-specific consumption patterns, no two Indian cities operate alike. Prices in Mumbai may differ significantly from those in Indore, the availability of products in Delhi may not match that in Guwahati, and promotions on platforms like Blinkit or Zepto often change within hours. This complex and fragmented landscape urgently needs real-time Scrape India-Based Grocery Product Data to support timely decision-making.

Traditional techniques, such as manual data entry or basic crawlers, fall short when managing India's grocery ecosystem's scale, speed, and diversity. This is where a powerful Indian Grocery Database Extraction API becomes essential. These APIs provide a seamless and automated solution to collect structured product data across multiple grocery e-commerce platforms continuously.

By leveraging technologies that Scrape Indian Grocery Item Data via API , businesses—whether retailers, FMCG brands, or logistics providers—can maintain an accurate and up-to-date view of pricing, availability, and customer demand, enabling smarter strategies and more responsive operations across India's diverse grocery markets.

Major Grocery Platforms Covered

Web Scraping APIs for India-based grocery items typically cover:

Jiomart – Reliance's grocery platform offering pan-India delivery.

Bigbasket – One of the oldest players with a vast regional catalog.

Blinkit – Fast grocery delivery with highly dynamic pricing and availability.

Zepto – Known for ultra-fast deliveries and curated inventory.

Instamart (Swiggy) – Offers comprehensive product listings with hourly changes.

These platforms serve different markets, price points, and formats. APIs unify this complex data into a single structure to support department decisions.

Use Cases of Grocery Web Scraping APIs in India

Web Scraping APIs enable multiple real-world applications across sectors. Here are the top use cases:

1. Real-Time Competitor Price Monitoring: Retailers and aggregators rely on Quick Commerce Grocery & FMCG Data Scraping to stay updated with competitor prices across different cities. This supports dynamic pricing strategies, reveals undercutting patterns, and ensures that promotional offers remain relevant and competitive in fast-changing markets.

2. Brand Performance and Visibility Analytics: FMCG brands use APIs to Extract Grocery & Gourmet Food Data and evaluate how their products are listed across grocery platforms. They monitor titles, product descriptions, price consistency, and availability across various vendors to optimize digital shelf presence.

3. Stock Availability Alerts: Through Web Scraping Grocery and gourmet Food Data, businesses can monitor stockout patterns in real time, identify which items frequently go out of stock, and pinpoint specific locations. This empowers inventory managers to make informed stocking and replenishment decisions for each warehouse.

4. Regional Market Demand Analysis: APIs track city- and state-level trends in product popularity, pricing sensitivity, and promo effectiveness. This regional analysis is drawn from a structured Grocery Store Dataset , enabling businesses to design more targeted campaigns and product assortments per location.

5. Bundle and Combo Trend Analysis: Businesses gain insights into customer preferences by monitoring how platforms pair products into bundles. These insights help brands create personalized combo deals and cross-selling opportunities using Grocery & Supermarket Data Scraping Services.

6. Hyperlocal Intelligence: Grocery platforms often display pin-code-specific pricing and availability. APIs aggregate and compare this data, supporting efficient last-mile delivery planning and hyperlocal pricing optimization.

Key Data Points Captured via Web Scraping APIs

A powerful grocery scraping API collects a wide range of structured fields that help decision-makers analyze the market in granular detail:

Product Name

SKU or Item ID

Brand Name

Weight/Volume (e.g., 1 kg, 500 ml)

Original Price (MRP)

Discounted/Sale Price

Product Category/Sub-Category

Offer/Deal (if any)

Availability Status (in-stock/out-of-stock)

Estimated Delivery Time

Customer Ratings and Reviews

Region/City/Pin-code Specific Data

Source Platform (e.g., Blinkit, Zepto)

These fields are customizable depending on the end-user's needs and delivered in formats like JSON or CSV, which are easy to plug into analytics dashboards.

How Web Scraping APIs Benefit Businesses?

Web Scraping APIs give businesses real-time access to structured data from online grocery platforms. They streamline competitive analysis, optimize pricing, track inventory availability, and uncover regional demand trends. By automating large-scale data extraction, companies gain actionable insights that enhance decision-making across marketing, supply chain, and operations—fueling more innovative strategies in India's dynamic and competitive grocery market.

Speed and Real-Time Intelligence: APIs work continuously in the background, ensuring that the data retrieved is fresh and up to the minute—an advantage over delayed batch updates or manual checks.

Cross-Platform Standardization: Data from different platforms are normalized into a single structure. This makes performing comparative analytics across brands, platforms, or cities easy.

High Scalability: Whether you want to track 500 products or 50,000, Web Scraping APIs can scale based on business needs and update frequency.

Region-Specific Data Extraction: APIs can extract region-specific information down to pin code levels, which is critical for hyperlocal businesses, logistics providers, and regional marketing teams.

Seamless Automation: APIs can integrate with ERP systems, CRM tools, or analytics platforms like Power BI or Tableau—enabling real-time dashboards, alerts, and decision workflows.

Ready to unlock powerful grocery market insights? Connect with us today to transform your data into a competitive advantage!

Contact Us Today!

How Businesses Are Applying These Insights?

Businesses leverage insights from grocery data scraping APIs to enhance competitiveness and efficiency. From pricing strategies and inventory planning to marketing optimization and product visibility, these insights empower retailers, brands, and logistics teams to make data-driven decisions tailored to regional demand, customer behavior, and dynamic market conditions.

Retail businesses use the data to align their product pricing, monitor delivery benchmarks, and adjust local promotions based on competitor activity.

Consumer Goods Manufacturers: FMCG brands gain visibility into how their product lines are being promoted and received across platforms, cities, and partner stores.

E-Commerce Startups: Startups entering the grocery space use this data to benchmark competitors, forecast market demand, and effectively plan their inventory and pricing models.

Data Analytics Firms: Research and analytics companies use this data to deliver insights to retail clients, helping them optimize marketing campaigns, analyze seasonal patterns, or identify top-selling SKUs.

Logistics and Supply Chain Managers: Track stockouts and delivery times to fine-tune warehouse locations, stock levels, and delivery zone planning.

Data Frequency and Customization Capabilities

Depending on business needs, Web Scraping APIs can be configured for:

Real-time updates (e.g., price change alerts)

Hourly or daily crawls (e.g., inventory snapshots)

Location-based data pulls (e.g., Delhi NCR vs. Pune)

Category-specific filters (e.g., organic products only)

Platform-specific scrapes (e.g., Blinkit-only promotions)

APIs' flexibility ensures that businesses pay only for the data they need and receive it in a form that's immediately usable.

Choosing the Right API Provider

When selecting a Web Scraping API service for India-based grocery data, consider the following:

Coverage of Major Platforms: Ensure the API supports all relevant grocery portals.

Customization should allow category filters, city-level breakdowns, and SKU-specific tracking.

Update Frequency: Support for real-time or scheduled data extraction.

Data Accuracy: Look for providers who maintain anti-blocking mechanisms and failover strategies.

Ease of Integration: APIs should be well-documented with ready-to-use endpoints.

How Product Data Scrape Can Help You?

1. Real-Time Market Insights – Access up-to-date pricing, stock levels, and promotions across top grocery platforms to respond swiftly to market shifts.

2. Customized Regional Intelligence – Gather location-specific data to tailor offerings based on local demand and consumer preferences.

3. Enhanced Product Visibility Tracking – Monitor your brand's product listings, rankings, and presence across multiple e-commerce sites.

4. Optimized Pricing Strategies – Benchmark competitor pricing to fine-tune your price points for better conversion and profitability.

5. Smart Inventory Planning – Detect patterns in stock availability and demand to streamline your supply chain and reduce overstock or shortages.

Final Thoughts

In the evolving landscape of grocery e-commerce in India, businesses that rely on real-time, structured data will stay ahead. Understanding city-wise price variations, tracking stock availability, or comparing discount strategies, a Web Scraping API for India-based grocery items can become the backbone of any data-driven retail strategy.

From pan-Indian brands to hyperlocal startups, the value of such APIs lies in their ability to make the invisible visible—delivering the full picture of India's fragmented, high-growth grocery market. In a time when one pricing mistake can lead to thousands in lost revenue and one insight can boost conversions by double digits, investing in reliable, scalable data infrastructure like scraping APIs is not just smart—it's essential.

At Product Data Scrape, we strongly emphasize ethical practices across all our services, including Competitor Price Monitoring and Mobile App Data Scraping. Our commitment to transparency and integrity is at the heart of everything we do. With a global presence and a focus on personalized solutions, we aim to exceed client expectations and drive success in data analytics. Our dedication to ethical principles ensures that our operations are both responsible and effective.

Source>>https://www.productdatascrape.com/web-scraping-api-indian-grocery-products-benefits.php

[korshubudemycoursesblog]

🚀 From Novice to Pro: Build a Swiggy-Style Food App with React 18

Have you ever dreamed of building a food delivery app like Swiggy or Zomato using the most in-demand frontend library, React? Whether you're a beginner or looking to elevate your frontend development skills, React 18 opens up incredible possibilities—and the best way to master it is by getting hands-on.

Imagine being able to create a real-world food delivery platform, complete with features like dynamic menus, cart functionality, and routing—all from scratch. If that sounds like your jam, you're going to love the journey of learning React through the lens of building a Swiggy-style food app.

And here's the good news: you don’t have to do it alone. With the course Mastering React 18: Build a Swiggy-Style Food App, you’ll get everything you need—step-by-step guidance, real-world coding experience, and modern best practices.

Let’s break down why this is one of the smartest ways to learn React in 2025.

Why React 18 Is Still a Game-Changer in 2025

React has come a long way, but React 18 is where the future starts. With features like automatic batching, concurrent rendering, and the transition API, it brings smoother UI updates and better performance to your applications.

These updates are more than just technical improvements—they directly impact user experience. Whether you’re building a personal project or developing apps for clients, React 18 ensures that your interfaces are responsive, scalable, and lightning-fast.

In other words, learning React 18 gives you a serious edge in today’s frontend job market.

What Makes Building a Food Delivery App So Valuable?

You might wonder: why a food delivery app? Why not just build a to-do list or calculator?

Great question.

Here’s the truth: while basic projects help you learn syntax, real-world projects like a Swiggy-style app teach you how to think like a developer. They help you understand how to:

Structure components effectively

Manage application-wide state

Integrate APIs and fetch dynamic data

Use advanced features like lazy loading, routing, and conditional rendering

Optimize performance and manage code reusability

Plus, let’s be honest—a food app is way more fun to build and show off than a to-do list.

What You’ll Learn in This Course

The course Mastering React 18: Build a Swiggy-Style Food App isn’t just about React basics. It’s about learning to build a complete, fully-functional application that mimics the UX and UI of a real-world platform.

Here’s what you can expect to master:

🔹 Setting Up Your Development Environment

From setting up your folder structure to installing the latest React 18 version, the course walks you through everything. You'll even get hands-on with Vite or Create React App for fast and optimized development.

🔹 Component-Based Architecture

You’ll learn how to break your app into reusable, modular components—like headers, cards, menus, and cart elements—following modern practices.

🔹 Routing & Navigation

React Router DOM makes navigating through your app smooth and dynamic. Learn how to implement routes like Home, Restaurant Details, Checkout, and more.

🔹 State Management

Explore React’s built-in useState and useReducer hooks, and get introduced to state management tools like Redux Toolkit or Context API to manage global states like cart contents or restaurant menus.

🔹 Working with APIs

Discover how to fetch real-time data from mock APIs (or real ones!) and display it dynamically in your app. Learn about useEffect, asynchronous calls, and loading states.

🔹 Optimizing User Experience

Dive into performance tricks—like code splitting, lazy loading, and suspense—to make your app lightning-fast and SEO-friendly.

🔹 Responsive Design

Use CSS-in-JS, Tailwind CSS, or plain CSS to ensure your app looks great on all devices, from smartphones to desktops.

Who Is This Course For?

This course is for:

✅ Beginners who know some JavaScript and want to learn React by doing something practical ✅ Intermediate developers looking to refresh their skills and add a real-world project to their portfolio ✅ Freelancers & job seekers wanting to build portfolio-worthy projects that impress clients and employers

Whether you're aiming to land a job, freelance, or build your own startup, this course equips you with skills that truly matter.

Let’s Talk About Career Benefits 🎯

Once you’ve completed the app, you won’t just know React—you’ll own it. You’ll understand how to architect modern applications that can scale, perform, and delight users.

Employers love developers who:

Can build end-to-end projects

Understand state and data flow

Write clean, reusable code

Know how to debug and optimize

By learning through a real-world project like this food delivery app, you showcase exactly those skills.

Practical Features You’ll Build

To make things even more exciting, here are just some of the features you’ll bring to life in your food app:

🛍️ Cart Management

🍔 Dynamic Menus

📍 Restaurant Listings with Filters

📦 Add to Cart / Remove from Cart Functionality

🔄 Routing and Deep Linking

📲 Responsive Mobile Layout

🌐 SEO and Performance Optimization

By the end, you’ll have a polished app that looks and works like something you’d find on the App Store.

Why This Course Over Others?

There are dozens of React tutorials out there. So why pick this one?

Because it’s goal-oriented, real-world focused, and result-driven. Instead of showing you dry concepts in isolation, it walks you through a real business case: a Swiggy-style food app. It helps you think like a product engineer—not just a coder.

Also, this course is regularly updated, uses modern tooling, and helps you understand the why behind the how. That’s crucial when leveling up.

Learn by Doing: No More Tutorial Hell

The problem with most courses? You watch videos, nod along… and forget it all by the next day.

This course is different.

It encourages active learning. You’ll build the app alongside the instructor, write real code, and solve actual challenges. That’s the secret to mastering React and escaping “tutorial hell.”

Build Confidence Through Action

By the end of this course, you’ll have:

✅ A complete, responsive food delivery app in your portfolio ✅ A clear understanding of how React 18 works under the hood ✅ Real confidence to take on new frontend projects ✅ The ability to contribute to or lead React-based projects

It’s not just about watching someone code. It’s about gaining real experience that sticks.

Bonus: Reusable Codebase for Future Projects

Once you've completed the food app, you can reuse its architecture and logic for future e-commerce platforms, restaurant websites, or client projects. You’ll save time, work smarter, and deliver faster.

In short: you’ll have a strong foundation for your React journey.

Get Started Today

There’s no better time to learn React 18 than right now. The frontend ecosystem is thriving, and skills like these open doors—whether you want to work at a startup, land freelance gigs, or build your own product.

Ready to turn your coding dreams into reality?

👉 Mastering React 18: Build a Swiggy-Style Food App is the ultimate hands-on guide to modern React development.

Start building. Start growing. Start coding like a pro. 🚀