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Practical guides on e-commerce data for brand, pricing and data teams
Playbooks, analysis and how-to guides on competitor pricing, MAP enforcement, quick commerce intelligence and digital shelf analytics. No fluff, no vendor-speak — written for people who actually run data programmes.
What we're writing about
Inside the intra-day pricing of India's quick commerce apps
We tracked pincode-level prices on Blinkit, Zepto and Swiggy Instamart across 6 cities for 30 days. Here's what we found about how the three platforms reprice through the day, where they diverge, and what brands should actually monitor.
Read the analysis →Recent posts
Why Is It Important to Scrape OpenCart Product and Image Data for Your E-commerce Business?
Scrape OpenCart product and image data to efficiently manage inventory, enhance product listings, and streamline e-commerce operations.
Role of Scraping eCommerce Product Data to Know the Impact of Dynamic Pricing on 8 Brands
Scraping eCommerce product data demonstrated how dynamic pricing contributed to the success of eight leading brands.
What Insights Can Be Gained by Scraping Product Data from Adidas and Nike?
Leverage scraping product data from Adidas and Nike to enhance market insights, optimize pricing strategies, and boost competitive advantage.
How to Effectively Scrape John Lewis Women's Clothing Prices for Trend Analysis?
Scrape John Lewis Women's Clothing Prices for competitive analysis, market trends, pricing strategies, and consumer behavior insights in fashion retail.
Why Scrape Zara Product Pricing Data to Understanding Zara's Pricing Strategy?
Scrape Zara product pricing data to analyze pricing strategies, identify trends, and enhance competitive positioning in the fashion market.
How Can We Scrape H&M's Fashion Pricing Strategy Analysis for Insights?
Scrape H&M's fashion pricing strategy analysis to uncover consumer behavior, seasonal trends, and competitive market positioning insights.
How Amazon category data scraping Helps Discover the Hidden Value in Amazon Data?
Amazon category data scraping reveals hidden value within Amazon data, providing insights that enhance business strategies and decision-making.
How Does a Data Scraping Tool from Amazon ASIN Improve Keyword Optimization?
The Data Scraping Tool from Amazon ASIN enables efficient product research, competitive analysis, and seller keyword optimization
What Are the Key Web Scraping Myths That Need Debunking?
Web scraping myths that need debunking include misconceptions about legality, privacy, and data accuracy, often mislead users.
Longer guides, playbooks and reference docs
The longer-format pieces — downloadable playbooks, comparison guides and reference material. Bookmark-worthy.
The Competitor Pricing Playbook
A 30-page guide to running a continuous competitor-pricing programme — scoping, matching, refresh cadence, and tying it to pricing decisions.
MAP Enforcement: From Detection to Takedown
The end-to-end MAP playbook covering detection, evidence gathering, takedown workflow and the legal posture brands take across regions.
India Quick Commerce: 2026 Data Report
30-day analysis of Blinkit, Zepto and Instamart across 6 cities — pricing patterns, assortment overlap, and pincode-level availability.
Managed Data vs SaaS: Buyer's Comparison
An honest comparison of managed data services vs SaaS pricing/MAP tools — when each is the right answer for brand and data teams.
Digital Shelf Metrics That Matter
A reference list of the 14 digital shelf metrics brands actually track — definitions, what they measure, and the common misreadings.
API vs CSV vs Dashboard: Picking the Right Delivery Format
How brand, pricing and data teams choose between API, file delivery and dashboard for marketplace data — with real-world trade-offs.
One short email per month. No fluff.
E-commerce data trends, MAP enforcement tips, quick commerce moves, and one good chart — every month, written by our team. No vendor pitches in the body. Unsubscribe in one click.
Topics & tags
Jump straight to the topic that matters — we tag articles, guides and resources by subject.