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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
Insights and Analysis from Scraping Top-Selling Beauty Products on Amazon
Scraping top-selling beauty products on Amazon reveals valuable insights and trends, aiding market analysis and strategic business decisions.
Advanced Web Scraping: Categories, Subcategories, Product Details
Discover a sophisticated web scraping script for extracting categories, subcategories, and detailed product information from supplier websites.
Challenges in Scraping Product Data from Temu.com.au
Exploring the Challenges of Scraping Product Data from Temu.com.au: Navigating IP Blocking, Captchas, Data Structure Complexity, Legal Issues, and Rate Limiting.
What Are the Benefits of Scraping Baby Department Data from Amazon, Target, Walmart & Etsy?
Scraping baby department data from Amazon, Target, Walmart, and Etsy helps businesses understand trends, optimize pricing, and enhance product offerings.
How Does Ecommerce Website Scraping Facilitate Trend Identification?
Ecommerce website scraping enables businesses to gather competitive insights, optimize pricing, track trends, and enhance decision-making through automated data extraction.
Scraping Tesco UK Product Data: Comprehensive Guide
Product Data Scraping from Tesco UK enables businesses to gain competitive insights, optimize pricing strategies, and enhance market responsiveness.
Exploring Grocery Data Scraping from Jiomart, BigBasket, Amazon, Blinkit, and Dmart
Scraping Grocery Data enables real-time insights, competitive analysis, and optimized business operations.
What Are the Best Practices for Scraping Shopee and Lazada Data?
Scraping Shopee and Lazada data provides valuable insights into market trends, competitor pricing, and customer behavior for strategic decision-making.
What Are the Best Practices for Ethical and Effective Web Scraping?
When performing web scraping, you must consider legal compliance, ethical practices, server load management, and data integrity.
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.