For analysts and marketers who need web data without writing code, Octoparse is a no-code visual scraping platform that lets you point, click, and extract structured data, used by brands like Unilever and Philips through its customer-engagement suite.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Octoparse's strategic position is a no-code, point-and-click scraping tool for non-technical users, mostly researchers, sales and e-commerce teams, that has recently pushed to extend that same drag-and-drop simplicity into agent workflows through an MCP server and open API connecting live web data to AI assistants like ChatGPT and Claude. Enterprise names like Unilever, Ford, and Philips anchor its use in competitive intelligence and lead generation. Its footprint in GTM and AI-builder conversation specifically is still early relative to its longer-running no-code user base, with the visible record so far centered on its own product rollout rather than a broad base of independent commentary.
Unilever, Ford, Philips, Bosch, Mazda, Ecovacs, Swisse, Bloomchic
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Business Profile
Octoparse was founded in 2016 under parent company Octopus Data Inc. and has grown into a widely used no-code scraping tool, with a user base the company puts at 3 million-plus worldwide spanning sales, research, and e-commerce use. The company has raised $16M and operates today as an independent, roughly 28-person team. It has expanded from a desktop scraping tool into a cloud platform with automatic IP rotation and round-the-clock scraper execution, and more recently opened an API/MCP layer aimed at AI-assistant integrations, alongside continued emphasis on GDPR/CCPA compliance for enterprise buyers.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Octoparse has built out an MCP server that lets AI assistants such as ChatGPT and Claude pull live web data directly into a conversation using natural-language prompts, backed by more than 200 pre-built site templates and structured JSON, CSV, and XLSX output. That sits alongside a REST API for programmatic scraping. The company has flagged further agent tooling in development, including natural-language scraper generation and URL-to-Markdown conversion, extending the no-code builder toward direct agent consumption.
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