Labsco
MCP SERVER · OFFICIAL PROJECT

ShoppingScraper Pricing Intelligence

by ShoppingScraper

Competitor price monitoring across marketplaces, with repricing rules and AI product content in the same connection.

E-commerce & Marketplace OperationsOfficial source
Summary
Creating a scheduler by conversation is the tool here that keeps working after you close the chat.

Most scraping connections answer a question and stop. A price scheduler you set up in conversation runs on its own afterwards, which means one exchange leaves behind a monitor rather than an answer. Combine that with the repricing rules and the risk becomes clear too: a margin-target rule created carelessly changes what you charge. Read the rule back before you leave it running. The AI content half is a genuinely different product bolted alongside — useful, but not why you would come here.

What it is

ShoppingScraper does competitive pricing intelligence for e-commerce. Their endpoint spans six categories: product data, price schedulers, dynamic pricing, feed management, AI content and AI images.

What you get
  • Product search across Google Shopping, bol.com, Amazon and Coolblue, with details, offers and comparisons by EAN
  • Price schedulers — created and managed from the conversation, with automated monitoring
  • Dynamic pricing rules: margin target, competitor match, cost-plus and price position, plus AI price recommendations with competitor analysis
  • Feed management — import, refresh and search product feeds
  • AI content — titles, descriptions, USPs, specs, pros and cons; AI images in lifestyle, studio, flat lay and product ad styles, plus infographics
Requirements

An API key by header, bearer token or query parameter. Streamable HTTP with a legacy protocol fallback. Claude Desktop users can download a personalised extension with the key already embedded. A free trial exists; the paid tiers are monthly enterprise contracts.

Setup effort

Paste a URL with a key — add the endpoint to your client