Blog
Learn how teams use structured product data to power market intelligence.
Product matching for ecommerce: resolving the same product across sellers
How product matching connects ecommerce listings across sellers using identifiers, attributes, images, and similarity checks.
Best AI Product Discovery Tools for Commerce Agents in 2026
Compare AI product discovery tools for commerce agents, from merchant feeds and Shopify Catalog MCP to open-web product intelligence.
Best Competitor Price Monitoring Tools in 2026: 9 Options Compared
Compare competitor price monitoring tools, from pricing dashboards to owned data pipelines for MAP tracking, seller coverage, and custom analytics.
Best Ecommerce Market Intelligence Tools in 2026
Compare ecommerce market intelligence tools for pricing, assortment, digital shelf analytics, open-web product data, and category analysis.
Best Ecommerce Web Scraping Tools in 2026: 7 Options for Product Data Teams
A practical comparison of ecommerce web scraping tools for teams that need product pages, prices, SKUs, sellers, availability, and clean downstream data.
Best Product Data Enrichment Tools for Ecommerce in 2026
Compare product data enrichment tools for ecommerce teams that need taxonomy, attributes, translation, matching, and analytics-ready product records.
Competitive pricing in ecommerce: a strategy guide built on real web data
How competitive pricing works in ecommerce, why data quality matters, and what price, seller, history, and matching data need to prove.
How to Classify Products in Ecommerce Taxonomy
How product taxonomy turns raw ecommerce listings into comparable product data, with category trees, attributes, standards, and analytics use cases.
Pricing intelligence: the data layer behind every pricing tool
Every pricing intelligence tool is a dashboard on top of the same data problem. Here is what the data actually looks like and how to evaluate tools on it.
Ecommerce Web Scraping in 2026: What Generic Guides Get Wrong
What ecommerce web scraping needs beyond generic crawlers, from SKU extraction and seller coverage to product schema and data quality.
Competitor Price Monitoring in 2026: The Complete Guide
How to set up competitor price monitoring you actually own, from SaaS dashboards to extraction pipelines for pricing, MAP, and market analysis.
How AI agents shop: the discovery problem OpenAI just made visible
ChatGPT now shows products from merchants who submit feeds. But agents need to see the entire web. Here's what the agentic commerce stack is missing.
MAP Price Monitoring: How to Track Minimum Advertised Prices Across the Web
One MAP violation cascades to a dozen sellers in 48 hours. How to set up minimum advertised price monitoring that catches violations before they spread.
Web Scraping in 2026: How AI Scrapers Are Replacing Manual Code
How AI-generated scrapers are changing ecommerce data extraction, crawler maintenance, and the economics of structured product data.
Introducing Extralt: The Market Intelligence Layer for Ecommerce
How Extralt generates ecommerce crawlers with AI, compiles them as Rust binaries, and turns product pages into structured catalog data.