Wappalyzer
ExtensionFreeWebsite technology stack detector for 1,700+ technologies.
Capabilities8 decomposed
passive-webpage-technology-detection
Medium confidenceAutomatically analyzes HTML, DOM, HTTP headers, and JavaScript on visited webpages to identify installed technologies by matching against a signature database of 1,700+ known frameworks, CMS platforms, libraries, and tools. Detection occurs client-side in the browser extension without sending page content to external servers, using pattern matching against known technology fingerprints (meta tags, script sources, CSS classes, HTTP headers, cookies).
Operates entirely client-side in browser extension without transmitting page content to servers, using signature-based pattern matching against 1,700+ technology fingerprints rather than machine learning classification. Detection happens on every page load automatically with zero user action required.
Faster and more privacy-preserving than cloud-based tech detection services because analysis happens locally in the browser without uploading page HTML, though limited to pre-catalogued technologies versus ML-based approaches that can identify unknown tools.
bulk-website-technology-profiling-via-api
Medium confidenceProgrammatic API endpoint that accepts lists of domain URLs and returns structured technology stacks for each domain, enabling batch processing of hundreds or thousands of websites for lead generation, CRM enrichment, and competitive analysis workflows. API uses credit-based rate limiting (1 credit per lookup) with tier-based monthly allowances (Pro: 5,000/month, Business: 20,000/month, Enterprise: 200,000+/month) and integrates with CRM platforms and outbound automation tools.
Integrates technology detection with third-party company/contact enrichment data in a single API response, enabling one-call CRM enrichment workflows. Credit-based rate limiting allows flexible usage patterns (burst processing) rather than strict per-second throttling, though credits expire if unused.
More cost-efficient than per-request SaaS APIs for bulk enrichment because monthly credit allowances enable predictable budgeting, though less flexible than unlimited APIs for unpredictable workloads.
website-technology-change-monitoring-with-alerts
Medium confidenceSubscription-based monitoring service that periodically crawls specified websites to detect changes in their technology stack (new frameworks, CMS updates, analytics tool additions, etc.) and sends notifications when changes occur. Free tier includes 5 website alerts; paid tiers require active subscription to enable ongoing monitoring beyond one-time lookups. Monitoring frequency and change detection sensitivity are not documented.
Combines periodic website crawling with change detection to identify technology stack evolution, enabling proactive competitive intelligence rather than reactive manual checking. Integrates with Wappalyzer's 1,700+ technology database to detect meaningful changes rather than generic website modifications.
More targeted than generic website monitoring tools because it specifically detects technology stack changes relevant to sales/competitive intelligence, though less real-time than continuous crawling services and limited to pre-catalogued technologies.
technology-filtered-lead-list-generation
Medium confidenceWeb application feature that builds segmented prospect lists by filtering companies based on technology stack criteria (e.g., 'companies using Shopify AND Google Analytics AND Klaviyo'). Combines Wappalyzer's technology detection database with third-party company/contact enrichment data to return filterable lists of matching companies with contact information. Lead lists are generated on-demand and exported for CRM import or outbound campaigns.
Combines technology-based filtering with company enrichment data in a single query, enabling sales teams to build highly specific prospect lists without manual research. Pricing model ties lead list generation to subscription tier (Pro: 2 targets, Business: unlimited), creating revenue incentive for upsell.
More targeted than generic B2B databases because filtering is based on actual detected technology adoption rather than industry/size proxies, though less flexible than custom database queries and limited to pre-catalogued technologies.
company-metadata-enrichment-from-technology-detection
Medium confidenceAutomatically extracts and enriches company information (size, industry, location, contact details) from detected technologies and third-party data sources when analyzing a website. When a user looks up a domain via extension, web UI, or API, results include not just technology stack but also company metadata pulled from enrichment databases, enabling single-lookup CRM enrichment without separate company data queries.
Bundles technology detection with company enrichment in single API response, eliminating need for separate company data lookups. Leverages technology stack as a signal for company profiling (e.g., enterprise tech stack suggests larger company) rather than treating detection and enrichment as separate operations.
More efficient than separate technology and company data API calls because single lookup returns both datasets, though enrichment data quality depends on third-party sources and may be less comprehensive than dedicated B2B database providers like Apollo or ZoomInfo.
android-mobile-website-technology-lookup
Medium confidenceMobile app version of Wappalyzer for Android devices that enables technology detection on websites visited via mobile browser. Feature parity with browser extension is limited — documentation indicates 'Plus features extend single-website research...in the Android app' suggesting reduced functionality compared to web/extension versions. Enables mobile-first sales teams to identify technologies while browsing on smartphones.
Extends Wappalyzer's technology detection to mobile context where desktop extensions are unavailable, enabling sales teams to research prospects during calls or field visits. Mobile app architecture likely uses simplified detection logic or server-side processing due to mobile device constraints.
Only mobile-native technology detection app available, though feature parity with desktop version is unclear and likely reduced due to mobile platform limitations.
crm-native-technology-enrichment-integration
Medium confidenceDirect integrations with CRM platforms (specific platforms not documented) that enable one-click technology enrichment of contact records without leaving the CRM interface. Integration likely uses Wappalyzer API to fetch technology data for company domain and populate custom CRM fields with detected technologies, versions, and categories. Enables sales teams to enrich records during prospect research workflows.
Embeds Wappalyzer technology detection directly into CRM workflows, eliminating context-switching between CRM and external tools. Integration likely uses CRM native APIs (Salesforce Flow, HubSpot workflows) to trigger enrichment on record creation or manual action.
More seamless than manual API calls or third-party enrichment tools because enrichment happens within CRM interface, though integration availability depends on CRM platform support and specific platforms not documented.
technology-signature-database-maintenance
Medium confidenceWappalyzer maintains a continuously-updated database of 1,700+ technology signatures (fingerprints for frameworks, CMS, analytics tools, programming languages, etc.) that enables detection across all products. Signatures include patterns for HTML meta tags, script sources, CSS classes, HTTP headers, cookies, and other detectable artifacts. Database is updated to add new technologies and refine existing signatures as tools evolve, though update frequency and community contribution model are not documented.
Centralized signature database enables consistent technology detection across all Wappalyzer products (extension, web UI, API, mobile app) without duplicating detection logic. Signatures are pattern-based rather than ML-driven, enabling deterministic detection without model training overhead.
More maintainable than distributed detection logic because signatures are centralized and versioned, though less flexible than ML-based detection that can identify unknown technologies without explicit signatures.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓sales development reps doing competitive research during web browsing
- ✓product managers analyzing competitor technology choices
- ✓developers evaluating technology adoption in their industry
- ✓B2B SaaS sales teams building technology-filtered prospect lists
- ✓CRM administrators enriching contact records with company tech stack data
- ✓RevOps teams automating lead scoring based on technology adoption
- ✓competitive intelligence teams tracking competitor technology evolution
- ✓sales teams identifying buying signals when prospects adopt new platforms
Known Limitations
- ⚠Limited to 1,700+ pre-catalogued technologies — emerging or proprietary tools not in signature database are undetectable
- ⚠Client-side detection only works on websites user actively visits — no passive monitoring without paid subscription
- ⚠Cannot detect obfuscated, minified, or dynamically-loaded technologies that don't expose standard fingerprints
- ⚠Accuracy depends on technology vendor maintaining consistent fingerprints — custom implementations or heavily modified frameworks may be missed
- ⚠API rate limits enforce monthly lookup caps — Pro tier capped at 5,000 lookups/month, requiring careful planning for large-scale enrichment
- ⚠Credit system requires pre-payment with 60-day expiration on plan-included credits and 365-day expiration on purchased bundles — unused credits are forfeited
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
About
Technology profiler browser extension that identifies frameworks, CMS platforms, analytics tools, and programming languages used on any website. Detects 1,700+ technologies with categorized results useful for competitive analysis and lead generation.
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