#AmazonSellerScraping

[actowizsolutions0]

How D2C Brands Track Prices on Amazon & Flipkart | Actowiz

Introduction

In India’s fast-growing eCommerce ecosystem, Direct-to-Consumer (D2C) brands are rewriting the rules of retail. From skincare startups to electronics brands, D2C companies rely on Amazon and Flipkart to reach mass audiences, optimize sales, and stay visible.

But visibility and sales don’t come easy. The real battle is pricing.

What are competitors charging?

Are they offering discounts, bundles, or flash deals?

Is your product priced competitively by region and time?

To answer these questions, D2C brands need continuous price monitoring and seller activity tracking—not just daily, but in real time.

That’s where Actowiz Solutions comes in. With specialized tools for Amazon seller scraping, Flipkart product monitoring, and D2C pricing strategy optimization, Actowiz helps brands decode the marketplace and dominate their segments.

Why Competitive Price Monitoring Matters for D2C

Pricing isn’t just a number—it’s your positioning, profit, and perception. For D2C brands on platforms like Amazon and Flipkart, price visibility directly impacts:

Buy Box wins

Search rankings

Conversion rates

Inventory turnover

Return rates & reviews

Without real-time data, D2C brands fall behind when:

Competitors run stealthy flash deals

Third-party sellers undercut prices

Marketplaces change MRP or delivery costs

Discounts vary by pin code or time of day

Actowiz Solutions: Price Intelligence for D2C Growth

Actowiz Solutions delivers a full-stack eCommerce data scraping and monitoring solution to help D2C brands:

Track product pricing and stock status on Amazon & Flipkart

Monitor competitor sellers, SKUs, and discounts

Detect Buy Box ownership changes

Analyze price history, trends, and fluctuations

Implement dynamic pricing models using real-time insights

Using advanced web scraping infrastructure, AI-based data cleaning, and custom dashboards, Actowiz ensures D2C brands get data that’s:

Accurate

Scalable

Region-specific

API-accessible

Delivered in real-time or scheduled batches

Platforms Covered

Amazon India (amazon.in)

Product pages

Seller listings

Lightning Deals & coupons

Buy Box holder info

Ratings & reviews

Flipkart (flipkart.com)

Product offers

Supercoins / Cashback

Seller and warehouse details

App-exclusive discounts

Flipkart Plus prices

What Data is Scraped?

Product Name: Title exactly as listed on the platform

Brand & SKU: Brand name along with Stock Keeping Unit for identification

Marketplace: Platform like Amazon or Flipkart where product is listed

MRP & Selling Price: Maximum Retail Price vs. current discounted price

Discount: Absolute savings and percentage off on MRP

Availability: Stock status – in stock or out of stock

Seller Name: Name of official or third-party sellers

Buy Box Ownership: Seller currently winning the Buy Box (Amazon specific)

Delivery Info: Estimated delivery times by region or pincode

Reviews & Ratings: Number of reviews and average rating (e.g., 4.3/5)

Flash Deals / Coupons: Active limited-time deals or available coupons with value and expiry

Real-World D2C Pricing Strategy Powered by Data

Case 1: A Skincare Brand Monitors Amazon Flash Sales

Problem: A D2C skincare brand was losing conversions during weekends. Investigation showed competitor products were dropping prices subtly using weekend flash deals.

Solution:

Actowiz set up hourly monitoring of category pages, price drops, and Buy Box winners. Alerts were triggered when flash sales started or coupon codes went live.

Result:

The brand matched price drops strategically and launched better bundles, increasing Buy Box share by 28% in 2 weeks.

Case 2: Flipkart Regional Price Variations for a Smartwatch Brand

Problem: A D2C wearable brand noticed its Flipkart listings were underperforming in Tier-2 cities.

Solution:

Actowiz implemented pin code-level Flipkart product monitoring across 15 locations, capturing region-wise prices, delivery charges, and stock availability.

Findings:

Prices were ₹500 higher in Tier-2 cities due to lower seller competition. Adjusting fulfillment routes helped reduce regional price gaps.

Case 3: Multi-Seller Tracking for Electronics Brand

Problem: Unauthorized third-party sellers were listing a D2C brand’s products on Amazon with outdated pricing, hurting brand image.

Solution:

Actowiz deployed Amazon seller scraping with brand match filters, flagging unauthorized listings and price deviations.

Result:

The brand took corrective action via Amazon Brand Registry, eliminating 17 rogue listings and improving listing consistency.

Sample Data Output (Example Snapshot)

Face Serum 50ml

MRP: ₹799

Offer Price: ₹499

Seller: GlowSellers

Buy Box: Yes

Stock: In Stock

Platform: Amazon

Smartwatch X1

MRP: ₹3499

Offer Price: ₹2899

Seller: FlipkartRetail

Buy Box: No

Stock: In Stock

Platform: Flipkart

Protein Powder 1kg

MRP: ₹1599

Offer Price: ₹1399

Seller: FitIndia

Buy Box: Yes

Stock: Out of Stock

Platform: Amazon

Price Tracking Dashboards by Actowiz

Actowiz offers intuitive dashboards for D2C teams to visualize:

Price changes by brand, SKU, or category

Historical pricing trends (daily, hourly)

Flash sale performance and Buy Box wins

Region-wise pricing and delivery analytics

Share of Voice in search + visibility impact

Want to know if your competitors lowered their price last night? The dashboard tells you at 8:01 AM.

Real-Time Alerts & API Integration

Actowiz allows integration into:

Pricing engines for dynamic updates

Google Sheets / Excel / ERP sync

Slack / Email Alerts for price drops or Buy Box shifts

BI tools like Power BI, Tableau, and Looker

API endpoints include:

/price-history

/buybox-tracker

/seller-watchlist

/deal-alerts

How It Works (Workflow Overview)

1. Input → Brand name, product URLs, ASIN/SKU

2. Scraping Engine → Extract prices, sellers, discounts hourly or daily

3. Data Cleansing → Remove duplicates, normalize currency

4. Delivery → API, dashboard, CSV export, or alerts

5. Actionable Insight → Match prices, remove unauthorized sellers, plan promotions

Bonus: Strategic Benefits of Monitoring Amazon & Flipkart Data

Smarter Product Launches

Know your competitors’ launch pricing tactics and timing.

Seasonal Trend Detection

Track how prices shift around festive seasons, paydays, and weekends.

Assortment Gap Analysis

Discover what your competitors list (or don’t) across regions.

Marketing & Ad ROI Alignment

Correlate pricing changes with ad performance spikes.

Ethical & Compliant Scraping

Actowiz follows:

Platform-compliant rate limiting

No interference with platform functionality

Data used for internal insights only

IP rotation and CAPTCHA bypassing (ethically)

No PII or unauthorized data is scraped. Publicly visible only.

Who Benefits from This?

D2C Founders: Gain insights into market pricing dynamics for smarter positioning.

eCommerce Managers: Align pricing with platform-specific trends to stay competitive.

Revenue Operations: Strategically plan competitive pricing to maximize margins.

Marketing Teams: Launch targeted discounts and promotions with data-driven confidence.

Product Teams: Design more effective product bundles or variant strategies based on market demand.

Future-Ready Capabilities

Actowiz is developing AI-driven pricing modules that can:

Predict competitor discounts

Forecast Buy Box probability

Recommend optimal discount levels

Suggest price per region & inventory levels

Conclusion

For D2C brands, pricing is a battlefield. But you don’t win wars with guesswork.

With Amazon seller scraping, Flipkart product monitoring, and data-driven D2C pricing strategy support, Actowiz Solutions gives you a real-time lens into your competitive landscape—so you can price smart, sell fast, and scale confidently.

 Learn More >>

Originally published at https://www.actowizsolutions.com.

[iwebscrapingblogs]

What is Amazon Best Seller Ranks Product Data Scraping Services?

The Amazon Best Sellers Ranks Product list is a great measure of how well a product is selling overall. iWeb Scraping allows you to easily search Amazon lists, categories, and current trends to identify the goods with the highest revenue-generating potential.

What is the Amazon Best Seller Ranks Product Data?

The Amazon Best Seller Ranks Product Data are based on Amazon sales and are updated hourly to include history and recent sales of all the products available on Amazon. While the Amazon Best Sellers list is a very strong measure of how much the product is doing overall, it does not identify how often the things are going among all the parallel items. As a result, lists of sub - category best-sellers are created to emphasize an item's rating in the categories or subcategories whenever it stands apart and Web Scraping Services.

iWeb Scraping offers the top Amazon best seller ranks product data scraping services in India, the United States, and the United Arab Emirates. iWeb Scraping allows you to easily search Amazon lists, categories, and current trends to identify the products with the highest revenue-generating potential. A user can request more than 100,000 greatest sellers in each category. A user may also select which top sellers they want to question and which group they want to question.

Listing Of Data Fields

At iWeb Scraping, we scrape the below data fields to scrape the Amazon Best Seller Rank Product Data:

         Product Name

         Rank

         Number Of Customer Reviews

         Ratings

         Reviews

         Price

         Image

         ASIN Number

         Current Pricing In Buy Box

         UPC Code

         URL On Amazon

         Total FBA Seller

         Item Name

         Lowest Pricing By The Seller

Extracting Best Seller Ranks Product Data from Amazon

Amazon Best Seller Rankings indicate how a product sells in comparison to other goods in the same industry. Contrary to popular assumption, the best sellers emphasize sales metrics. Overall, though, sales volume has little to correlate with product ranking. The algorithms take into account the most recent sales figures in the shortest amount of time. Furthermore, a product with larger sales statistics may not always have a higher rank. To gain a better ranking, it must sell more entities than other items in the same category during the time frame specified.

[sandersoncarlen]

iWeb Scraping delivers the precise data scraping service for Amazon Best Seller ranks product data and allows to download the data in the required format such as JSON, CSV, or excel.