The global e-commerce market is worth over $7 trillion by 2025, but competition is fierce. Brands lose the Buy Box on Amazon within seconds if their pricing is off. Retailers lose millions every quarter due to stockouts, poor catalog accuracy, and negative reviews.
We provide comprehensive SKU-level e-commerce data including:
Delivered in Excel, CSV, JSON, API feeds, or integrated dashboards.
We provide comprehensive SKU-level e-commerce data including:
We cover global regions: USA, UK, UAE, India, Germany, Canada, Europe, SEA.
In e-commerce, price changes decide who wins or loses sales. On Amazon, Walmart, and Flipkart, even a small difference of a few cents can shift the Buy Box. Without automated monitoring, retailers risk being undercut by competitors or missing discount trends. Price intelligence is no longer optional — it is survival. By scraping price and discount data in real time, businesses can implement dynamic pricing rules, protect margins, and stay competitive.
A global electronics retailer scraped 100K SKUs during Black Friday across Amazon and Best Buy. With real-time repricing automation, they achieved a 22% increase in conversions and captured an additional $3.5M in seasonal revenue.
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Outdated or incomplete catalogs cause lost sales and high return rates. Customers abandon carts if images, descriptions, or attributes are missing. Competitors with better-optimized catalogs gain higher visibility and trust. By scraping competitor catalogs, retailers can enrich their product listings with accurate details, attributes, and visuals — ensuring their feeds remain complete and competitive.
A footwear brand enriched its listings by scraping Flipkart and Myntra competitor catalogs. Adding missing attributes like shoe width and material reduced returns by 18% and increased conversions by 14%.
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Customer reviews are a goldmine of insights — they reveal what customers like, dislike, and expect next. Yet, most businesses struggle to analyze reviews at scale. Scraping reviews from Amazon, Walmart, and Flipkart allows businesses to collect thousands daily, categorize them by sentiment, and uncover patterns. Positive reviews highlight competitive strengths; negative reviews expose weaknesses.
A fashion retailer scraped 200K reviews across Amazon and Zalando. The analysis showed recurring “size too small” complaints. Adjusting size charts reduced return rates by 12% and improved satisfaction scores.
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Competitors spend heavily on ads, banners, and seasonal campaigns. If you can’t see where and when they promote, you miss the chance to respond effectively. Scraping sponsored listings, banners, and discount promotions allows businesses to benchmark ad spend and optimize their own strategies.
A cosmetics brand tracked Flipkart banner ads across 12 competitors during Diwali. By reallocating spend to match peak competitor hours, they improved ad ROI by 20% and boosted seasonal sales.
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Stockouts represent lost revenue — but they’re also opportunities. When competitors run out of stock, customers actively look for alternatives. Businesses that detect these gaps quickly can capture market share.
A consumer electronics seller scraped Walmart’s TV stock data. When a competitor’s best-selling model went out of stock, they raised ad bids on their alternative SKU, resulting in a 12% sales uplift in 2 weeks.
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Unauthorized sellers often undercut brand prices, violating Minimum Advertised Price (MAP) policies. This damages brand reputation, frustrates authorized resellers, and erodes margins. Without systematic monitoring, detecting these violations is almost impossible. Scraping seller listings across Amazon, eBay, and Walmart enables brands to enforce compliance and maintain healthy reseller relationships.
A premium skincare brand monitored 15K SKUs across Amazon and eBay. Within 60 days, Actowiz flagged 200+ MAP violations and helped them cut unauthorized discounting by 70%, restoring reseller trust.
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Before launching in a new region, brands need to know which products sell well locally, what price ranges customers accept, and who dominates the category. Market entry without competitive intelligence is risky and expensive. Scraping competitor catalogs and SKUs across marketplaces provides clear visibility into local demand and competitor strengths.
An apparel brand entering UAE scraped Noon and Carrefour fashion categories. They identified 200 trending SKUs in modest wear and footwear. Optimizing their launch strategy reduced market-entry risk and led to 40% faster adoption.
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Retailers often don’t realize how their assortment compares to competitors. Some carry deeper catalogs in key categories, while others expand into new verticals faster. Assortment benchmarking ensures you know where you stand relative to peers and where opportunities lie.
A grocery retailer benchmarked its organic food assortment vs competitors. Actowiz data showed competitors carried 35% more SKUs. By expanding their organic catalog, the retailer grew revenue in that category by 18% within 2 months.
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Flash sales and mega discount events like Amazon Lightning Deals or Flipkart Big Billion Days can make or break a retailer’s quarter. Missing these events means competitors grab market share. Real-time flash sale tracking helps businesses stay agile and competitive.
A fashion retailer tracked hourly discounts during Flipkart’s Big Billion Days. By dynamically adjusting discounts, they retained 12% more customers and improved campaign ROI.
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Marketplaces are powered by sellers, but not all sellers are equal. Some dominate through fast delivery, some through high ratings, and others via aggressive pricing. Tracking seller performance gives brands competitive intelligence at the seller level.
A consumer electronics brand analyzed seller competition across Amazon India. They discovered a reseller winning Buy Box due to faster delivery (2 days vs their 5 days). By improving logistics, the brand boosted Buy Box wins by 9%.
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Visibility on marketplaces isn’t only about price — it’s about being discoverable. If your products don’t appear in the first page of Amazon or Flipkart search results, you risk losing customers to competitors. Search scraping helps brands monitor keyword visibility and adjust product listings to climb higher in rankings.
A beauty brand saw slipping keyword ranks for “matte lipstick” on Amazon. With Actowiz data, they optimized product titles and ads, regaining Top 5 ranking in 30 days and boosting sales by 15%.
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Fast and affordable delivery is a key competitive advantage. Many customers choose sellers who can deliver faster — even at a higher price. Monitoring competitor shipping and delivery times provides actionable intelligence to improve your own logistics.
A US retailer found competitors offered 1-day delivery in NY and CA while their average was 4 days. By upgrading logistics, they halved delivery time and improved repeat purchase rates by 21%.
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Understanding past pricing behavior is as important as real-time monitoring. Historical data reveals competitor strategies, discount cycles, and seasonal trends. Brands can use this to forecast competitor moves and plan pricing strategies better.
An electronics retailer analyzed 3 years of historical pricing on laptops across Amazon and Best Buy. Insights revealed consistent 15% discounts in November. By aligning their campaigns, they increased seasonal sales by 28%.
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The same product often appears across multiple marketplaces with different prices, sellers, and descriptions. Without product matching, it’s hard to benchmark across platforms. Automated product matching enables cross-market comparison and unified intelligence.
A global mobile brand matched SKUs across Amazon US, Walmart, and Flipkart India. They identified 20% price differences caused by resellers. Adjusting pricing policies improved channel consistency and protected margins.
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Competitors launch new products almost daily. Missing these signals means delayed response in pricing, promotions, and assortment planning. Scraping new product listings gives brands a first-mover advantage.
A consumer electronics brand tracked “new arrivals” in laptops on Amazon. They detected competitor launches 2 weeks earlier than before. By adjusting pricing, they protected 10% category share during the quarter.
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Stock availability is directly tied to sales performance. When competitors run out of stock, it creates an immediate opportunity for your brand to capture lost demand. On the flip side, frequent competitor restocking signals demand trends. Scraping stock availability across platforms provides brands with actionable alerts for supply chain and marketing optimization.
A fashion retailer tracked competitor stockouts on Flipkart. By launching flash discounts during competitor unavailability, they boosted conversions by 15% in 2 weeks.
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Competitors don’t just fight at the product level — they dominate entire categories. To compete effectively, brands need visibility into how many SKUs, what price ranges, and which product attributes dominate competitor categories. Category scraping allows benchmarking at a macro level.
A home appliances brand benchmarked Amazon’s kitchen appliances category. They identified gaps in “compact blenders” and launched 5 new SKUs. Within 6 months, they gained 8% category share.
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Sponsored ads are a major spend for e-commerce brands. Competitors bidding aggressively can dominate visibility. Without scraping ad placements, it’s impossible to benchmark spend and strategy.
A consumer electronics brand tracked Amazon sponsored ads in laptops. They discovered competitors dominated “gaming laptop” ads. By reallocating spend, they improved ad ROI by 25%.
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E-commerce sales peak during seasonal events. Competitors launch massive promotions, new SKUs, and bundled deals. Without monitoring seasonal demand, brands miss critical opportunities.
A toy retailer scraped Amazon and Walmart during Christmas sales. They identified fastest-moving toys and increased stock before demand peaked, achieving 30% higher sales YOY.
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Discount codes and vouchers drive purchase decisions, especially in price-sensitive categories. Competitors often use hidden codes to retain customers. Scraping these codes helps brands benchmark promotions.
An online grocery retailer scraped coupons across Instacart and Amazon Fresh. By analyzing discount patterns, they optimized their own voucher strategy, leading to a 17% increase in repeat orders.
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Private label products are rapidly gaining traction on marketplaces. Competitors often launch in-house brands at lower prices, undercutting established players. At the same time, unauthorized resellers push products without brand approval, hurting pricing control and customer trust. Monitoring private labels and resellers is essential to safeguard market share.
A premium electronics brand tracked unauthorized resellers on Amazon India. By detecting early undercutting, they shut down 50+ reseller accounts and protected 12% of margin.
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Product descriptions, titles, and attributes are critical for SEO and conversion inside marketplaces. Competitors with optimized content gain higher visibility and customer trust. Scraping competitor product metadata helps brands benchmark and improve their own listings.
A furniture retailer benchmarked competitor product descriptions on Wayfair and Amazon. By adding missing attributes like “assembly required,” they improved customer clarity and reduced return rates by 14%.
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Fake reviews and fraudulent sellers are common on marketplaces, often misleading buyers and damaging genuine brands. Tracking these patterns helps businesses protect reputation and ensure fair competition.
A skincare brand identified 500+ fake reviews targeting its flagship product on Amazon. With Actowiz data, they flagged suspicious sellers and improved brand trust, recovering 9% lost sales.
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Understanding how much share competitors hold within a category is critical for strategy. By scraping SKU overlap, pricing ranges, and reviews, businesses can estimate competitor market share and position themselves more effectively.
A consumer electronics retailer benchmarked laptop SKUs across Amazon and Walmart. Insights showed a competitor held 28% more SKUs in mid-range laptops. Expanding assortment helped recover 10% lost share.
Read MorePopular retail websites are essential for online shopping, offering a wide variety of products from electronics and clothing to home goods and groceries. These platforms provide competitive prices, customer reviews, and convenient delivery options, making them go-to destinations for consumers looking to make informed purchasing decisions and enjoy a seamless shopping experience. Here is the list of popular e-commerce websites:
E-commerce is a dynamic ecosystem where prices, promotions, and product assortments change every hour. Businesses that rely on manual monitoring often lag behind competitors who use automated, data-driven strategies. Actowiz empowers you with accurate, structured, and real-time e-commerce data, enabling smarter pricing, faster decisions, and stronger customer experiences. From monitoring millions of SKUs to analyzing customer sentiment at scale, our scraping services provide the intelligence you need to thrive in hyper-competitive marketplaces. Below are the key benefits you gain by leveraging Actowiz for your e-commerce data needs.
Stay ahead of pricing wars with complete visibility into competitor prices, promotions, and discounts. Our scraping solutions track SKUs across Amazon, Walmart, Flipkart, eBay, and other marketplaces, giving you a unified dashboard of pricing trends. Businesses use this intelligence to implement dynamic pricing and protect margins.
Example: An electronics retailer scraped 50,000 SKUs during Black Friday, enabling them to auto-adjust prices. The result: a 15% boost in conversions within 3 months.
Monitor competitor inventory levels, stockouts, and shipping timelines in real time. This allows businesses to identify supply gaps, optimize replenishment, and reduce lost sales opportunities.
Example: A consumer electronics brand identified competitor stockouts on Amazon in peak season, increased ad bids, and gained a 22% sales lift in 2 weeks.
Extract and analyze customer reviews, ratings, and complaints to understand buyer sentiment. This data helps improve product quality, enhance service, and refine marketing campaigns.
Example: A fashion brand scraped 200,000 reviews from Amazon and Zalando. Insights into “size too small” complaints allowed them to adjust sizing charts, cutting returns by 12%.
From Amazon USA to Flipkart India and Shopee Singapore, Actowiz covers 100+ marketplaces worldwide. Businesses can benchmark their global catalog, spot international trends, and align regional pricing strategies.
Example: A multinational FMCG company compared basket prices across 7 countries to align promotions globally, improving pricing consistency by 18%.
Ensure sellers follow your Minimum Advertised Price (MAP) policies. Our crawlers detect MAP violations instantly, protecting your brand equity and retailer relationships.
Example: A consumer electronics brand reduced MAP violations by 40% in 6 months by automating compliance monitoring across 20 online sellers.
Scrape competitor ad placements, promotional banners, and sponsored listings to refine your marketing strategies. Get insights into discounting tactics and seasonal campaigns.
Example: A beauty brand tracked 10,000 promotional listings across Amazon and Walmart, allowing them to launch better-timed campaigns, increasing CTR by 28%.
E-commerce scraping isn’t just for online retailers. Businesses across multiple industries rely on Actowiz for actionable insights. From FMCG brands and manufacturers to ad-tech companies and financial analysts, we deliver accurate datasets that fuel smarter strategies and measurable growth.
Retailers use our services to benchmark prices, monitor promotions, and optimize product listings across channels.
Mini Example: A global retailer scraped Amazon and Walmart SKUs to maintain consistent pricing, boosting customer trust and conversion rates.
Track basket pricing, stock availability, and customer sentiment to stay competitive in fast-moving markets.
Mini Example: A beverage company monitored supermarket marketplaces across Europe to optimize regional promotions, increasing sales by 14%.
Consultancies use our structured datasets for competitor benchmarking, category analysis, and client strategy building.
Mini Example: A market research firm scraped 1M+ SKUs across 8 countries to deliver an FMCG pricing benchmark study.
Fuel affiliate platforms with real-time price and availability data to attract traffic and improve monetization.
Mini Example: A price comparison portal updated listings every 4 hours using Actowiz, increasing click-throughs by 21%.
Monitor how resellers present, price, and review your products across multiple marketplaces.
Mini Example: A home appliance manufacturer reduced MAP violations by 30% by automating scraping of 200 reseller sites.
Get insights into ad spend, promotions, and keyword performance across marketplaces to improve targeting.
Mini Example: An ad-tech company scraped 50,000 sponsored product listings, refining bid strategies for their clients.
Actowiz covers 100+ e-commerce marketplaces worldwide, ensuring you capture localized trends and competitive dynamics. Whether you’re expanding into a new region or optimizing an existing one, our data helps you act with confidence.
Platforms Covered: Amazon, Walmart, eBay, Flipkart, Shopee, Noon, Carrefour, Zalando, Lazada, BestBuy & more.
✨ "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
Operations Manager, Beanly Coffee
✓ Competitive insights from multiple platforms
Industry:
Real Estate
Result
2x Faster
Real-time RERA insights for 20+ states
Data Analyst, Aditya Birla Group
✓ Boosted data acquisition speed by 3×
Industry:
Organic Grocery / FMCG
Result
Improved
competitive benchmarking
Product Manager, 24Mantra Organic
✓ Real-time SKU-level tracking
Industry:
Quick Commerce
Result
2x Faster
Inventory Decisions
Aarav Shah, Senior Data Analyst, Mensa Brands
✓ 28% product availability accuracy
✓ Reduced OOS by 34% in 3 weeks
Industry:
Quick Commerce
Result
3x Faster
improvement in operational efficiency
Business Development Lead,Organic Tattva
✓ Weekly competitor pricing feeds
Industry:
Beverage / D2C
Result
Faster
Trend Detection
Marketing Director, Sleepyowl Coffee
Boosted marketing responsiveness
Industry:
Quick Commerce
Result
Enhanced
stock tracking across SKUs
Growth Analyst, TheBakersDozen.in
✓ Improved rank visibility of top products
Real results from real businesses using Actowiz Solutions
In Stock
₹524
Price Drop + 12 min
in 6 hrs across Lel.6
Price
Drop −12 thr
Improved inventory
visibility & 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%
✔ Scraped Data, SKU availability, delivery time
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Get live insights by scraping festive deals data from Amazon & Flipkart. Track prices from September 23 to analyze trends and optimize sales strategies.
This case study explores methods to extract real-time price data from Amazon’s Great Indian Festival and Flipkart’s Big Billion Days for accurate analysis.
reveals how brands Extract Festive Sale Data from Amazon, Flipkart & Reliance with 90% flash-sale alerts and 50+ brands analyzed.
Get live insights by scraping festive deals data from Amazon & Flipkart. Track prices from September 23 to analyze trends and optimize sales strategies.
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This case study explores methods to extract real-time price data from Amazon’s Great Indian Festival and Flipkart’s Big Billion Days for accurate analysis.
Discover how our client leveraged Actowiz Solutions to Scrape Cocktail Trends From Zomato in Mumbai & Bangalore and gain competitive market insights.
Web Crawlers for Grocery Coupon & Discount Data Tracking across Walmart, Kroger & Safeway to boost savings insights.
reveals how brands Extract Festive Sale Data from Amazon, Flipkart & Reliance with 90% flash-sale alerts and 50+ brands analyzed.
Explore Historical Navratri Sales Data from 2020–2025 to track discounts, flash sales, and consumer trends across Amazon, Flipkart, and Myntra.
Explore Myntra vs Ajio Navratri discount scraping insights for 2025—compare festive fashion offers, flash sales, and 2x shopper growth trends.
