ScrapeWise.ai

ScrapeWise is a no-code data extraction platform that runs ready-made automations against major sites and platforms — or any custom target page — and returns structured, schema-ready data at scale.

How it works

Users pick a pre-built automation (e.g., Google Search, Google Shopping, Google Maps, Amazon, eBay, Walmart, Shopify, WooCommerce) or point ScrapeWise at any other page, and the platform runs the extraction across ScrapeWise's own infrastructure and proxy network. Each automation returns a defined schema — for example, the Google Search automation returns ranked SERP results with position, title, URL, snippet, and domain fields per query. Users can also build a custom automation from scratch for pages not covered by an existing template.

Bring-your-own-LLM automation

ScrapeWise supports an MCP (Model Context Protocol) interface, letting teams connect their own LLM to configure and run the extraction pipeline end-to-end by pointing their model at ScrapeWise's MCP endpoint — rather than having the LLM scrape target sites directly.

Key capabilities

• Ready-made automation library for common e-commerce, search, and marketplace targets, with live schemas ready to run out of the box.
• Custom automation builder for any other target page.
• Proxy network spanning 110 million proxies, built to reach sites that block direct or single-IP access.
• Template reuse at scale: run the same automation across thousands of pages on one site, or apply the same template across thousands of different sites.
• In-platform data table (AG Grid–based) with grouping, filtering, and pivoting on returned data — no separate export step required to start analyzing results.
• Free tier: 1,000 rows included, no card required to start.

Who it's for

Teams that need structured web data — competitor pricing, marketplace listings, search rankings, product catalogs — without building or maintaining scraping infrastructure themselves, and teams building LLM-based agents or workflows that need a reliable, scaled data-fetching layer instead of having the LLM scrape pages directly.

Differentiator

ScrapeWise positions itself against the cost and fragility of having an LLM (or a custom script) scrape target pages directly — running extraction at automation scale on dedicated infrastructure instead.