For GTM engineers and sales teams researching prospects, Wappalyzer is a technographic detection tool that scans any website's CMS, analytics, ecommerce, and marketing stack through an API or browser extension, surfacing the tech a target company actually runs.
Presence & Market Position
#97 of 103
GTM Developer Tools
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Wappalyzer is working to become the technographic lookup layer for GTM research and automation, identifying the software stack behind any website through browser, API, and MCP access. Its market-conversation footprint is still early, with no substantive practitioner discussion to characterize current use or competitive positioning. The product itself has a clear place in prospect research: detect CMS, analytics, ecommerce, marketing, and development technologies, then feed that structured signal into sales targeting or enrichment workflows. The MCP release brings the same lookup model into assistant-led research without changing Wappalyzer’s underlying role as a website-technology detector.
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Store Leads
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Business Profile
Founded in 2008, Wappalyzer is an independent, two-person software company with $18 million in reported 2024 ARR. It has built a compact business around a durable technical asset: detecting the technologies used by websites and packaging that data through a browser extension, lists, and programmatic lookup. The company serves individual researchers and GTM teams that use technographic data for prospecting, market analysis, and enrichment. Its focused operating model supports a product centered on detection accuracy and flexible access to website-technology data.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Wappalyzer exposes its technographic data through an API and a hosted, read-only MCP server. MCP tools support single-site technology lookup, subdomain discovery, and credit-balance checks, while resources expose technology and category metadata. A local open-source MCP package is also available for self-managed use. No public SDK or CLI is documented.
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