Website Technology Detector — Wappalyzer Alternative

Detect technologies on known websites using catalog data and live page evidence. Export CMS, ecommerce, analytics, hosting, and other stack findings with source and freshness details for qualification or technical research. For account and technology researchers, each dataset record describes the technology snapshot for a supplied website.

Workflow: put the results to work

Submit the known websites you want to segment or review. Compare catalog findings with current HTML and header evidence, paying attention to provider freshness. Use the resulting technology groups for account qualification or migration research, then inspect the source for decision-critical detections.

Best fit for this Actor

Use this Actor when you already have website URLs and want a machine-readable technology snapshot with both broad catalog coverage and a current-page check. It works especially well when the next step is account qualification, stack segmentation, migration research, or a technical review using technologies, dataSources, providerLastVisited, finalUrl, and collectedAt.

Wappalyzer remains the broader choice for its browser extensions, large commercial fingerprint catalog, lead lists, enrichment, historical data, and product-specific integrations. Start with a domain-discovery or company-data workflow when the URLs are still unknown, then pass the resulting public domains into this Actor.

How this workflow compares with Wappalyzer

This Actor is a workflow alternative for a bounded, one-page public technology check. Wappalyzer provides a wider website-intelligence product, while this Actor concentrates on transparent Apify dataset output for caller-supplied URLs.

Decision	This Actor	Wappalyzer	Best fit
Workflow scope	Profiles supplied public URLs using managed catalog data plus current HTML and response headers.	Offers technology lookup plus broader website-intelligence products.	Choose by whether the job is a focused structured URL report or a wider intelligence workflow.
Billing and cost	Uses Pay per event for each persisted report plus Apify platform usage.	Uses its own account, credits, and plan structure.	Compare the live pricing surfaces for the workload and volume you expect.
Usable-output efficiency	Returns one deduplicated record per accepted URL with catalog freshness and live-source evidence.	Returns technology data through its supported products and API plans.	Use the output shape that fits the next system with the least transformation.
Integrations and automation	Runs through Apify Console and API, with datasets, schedules, and webhooks available in the Apify workflow.	Provides its documented product and integration paths.	Choose the ecosystem already used by the team operating the workflow.
Evidence and freshness	Separates provider last visited time from the current Actor collection time and live-page evidence.	Provides its own live and stored lookup options.	Use the provenance model that matches the decision being made.
Broader product fit	Concentrates on known-URL technology reports while excluding provider contact fields from storage.	Adds extension, lead, enrichment, history, and wider catalog capabilities.	Wappalyzer fits teams that need those wider product capabilities.

Wappalyzer is a trademark of its owner. This independent Actor is not affiliated with, associated with, or endorsed by Wappalyzer.

From website URLs to a stack decision

A sales-operations analyst starts with the public domains already present in a prospect list. They submit those URLs, then review technologyCount, all categories for each technology, the provider's providerLastVisited, current source excerpts, and collectedAt. Next, they segment accounts by ecommerce, analytics, or framework signals and send only the selected records into their CRM review or research process.

Output data you receive

One dataset row represents one accepted domain report. A row can be hybrid, provider-catalog-only when the current page is inaccessible, or live-page-only when the catalog is disabled or temporarily unavailable.

Field	Meaning	Example
requestedUrl	Normalized URL supplied for the run.	https://www.shopify.com/
finalUrl	Public URL reached after validated redirects.	https://www.shopify.com/
statusCode	Current public-page HTTP status, or null for a catalog-only report.	200
fetchRoute	Direct, Apify Residential Proxy, or catalog-only route.	direct
pageTitle	Public HTML title when present.	Shopify: The All-in-One Commerce Platform
technologies	Technology name, primary category, all categories, confidence, evidence, and source route.	Next.js, Web frameworks, high
technologyCount	Number of unique supported technologies in the report.	4
headersObserved	Names of response headers observed during analysis; header values stay out of this field.	content-type, server
dataSources	Evidence surfaces that contributed to the report.	dataforseo_domain_technologies, public_html_and_response_headers
providerStatus	Whether the managed catalog contributed, was unavailable, lacked configuration, or was skipped.	success
providerLastVisited	Catalog observation time, kept separate from the current run time.	Provider timestamp or null
providerCostUsd	Provider-reported cost for the domain lookup.	Numeric USD value
collectedAt	ISO 8601 collection time for freshness decisions.	UTC timestamp
provenance	Hybrid, catalog-only, or live-page-only evidence scope.	hybrid_dataforseo_and_public_page

{
  "requestedUrl": "https://www.shopify.com/",
  "finalUrl": "https://www.shopify.com/",
  "statusCode": 200,
  "fetchRoute": "direct",
  "pageTitle": "Shopify: The All-in-One Commerce Platform",
  "technologies": [
    {
      "name": "Next.js",
      "category": "JavaScript frameworks",
      "categories": ["JavaScript frameworks", "Web frameworks"],
      "confidence": "high",
      "evidence": "/_next/static/",
      "source": "hybrid_public_and_dataforseo"
    }
  ],
  "technologyCount": 1,
  "headersObserved": ["content-type", "server"],
  "dataSources": ["dataforseo_domain_technologies", "public_html_and_response_headers"],
  "providerName": "DataForSEO",
  "providerStatus": "success",
  "providerTaskId": "provider request identifier",
  "providerCostUsd": 0.012,
  "providerLastVisited": "provider catalog timestamp",
  "providerDomainRank": 571,
  "collectedAt": "ISO-8601 UTC timestamp",
  "provenance": "hybrid_dataforseo_and_public_page",
  "limitations": "Provider catalog observations can predate this run; public-page evidence is current but may miss client-side, authenticated, obfuscated, or non-public technologies."
}

Quick start input

Provide up to 25 public HTTP or HTTPS website URLs. Bare domains are normalized to HTTPS, duplicates are removed, and redirects are accepted only while they continue to resolve to public network addresses.

{
  "startUrls": [
    "https://apify.com",
    "https://www.shopify.com"
  ],
  "maxUrls": 2,
  "requestTimeoutSecs": 25,
  "useProviderCatalog": true,
  "useApifyProxyFallback": true
}

Run it through the Apify API:

curl "https://api.apify.com/v2/acts/khadinakbar~wappalyzer-alternative/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":["https://example.com"],"maxUrls":1}'

After execution finishes, read the default dataset for the complete report rows and read OUTPUT for the compact outcome summary.

AI agent and MCP prompt

Profile these known public website URLs. Return the dataset records with technology names, categories, confidence, source evidence, final URLs, collection times, and the run outcome. Keep the scope to these URLs, state the Pay per event cost boundary, and use dataset pagination if the full result is larger than the first readback page.

The required starting information is a list of public website URLs. The operation reads managed catalog observations and public pages, stores only technology-report fields, and performs no changes on target websites. Provider email and phone fields are intentionally discarded. OUTPUT and RUN_SUMMARY provide outcome, provider cost, margin telemetry, and warning context for workflow branching.

Practical guidance for best results

• Provide canonical public homepages or specific public pages that carry the technology signals relevant to the decision.
• Keep useProviderCatalog enabled for broader catalog coverage. Disable it when a current-page-only observation is the intended job.
• Keep useApifyProxyFallback enabled when consistent public-page reachability matters; residential traffic becomes part of Apify platform usage only when that route is used.
• Compare providerLastVisited with collectedAt. Catalog-only technologies can be broader but older, while live-source excerpts reflect the page fetched during this run.
• Interpret every finding with its categories, confidence, and evidence source. A hybrid finding means the catalog and current page agreed on the technology name.
• Use repeated scheduled runs when technology-change monitoring is the goal, and compare records using requestedUrl plus collectedAt.
• Treat browser-runtime, authenticated, certificate, DNS, cookie, and site-wide observations as a broader research scope that can be paired with an appropriate browser or intelligence workflow.

Builder's note

I designed the current-page detector conservatively after finding that short generic patterns create convincing-looking false positives. The hybrid merge uses the provider catalog for breadth, prefers inspectable live evidence when both sources identify the same technology, and keeps provider freshness separate from collection time so a person or agent can judge each finding before using it downstream.

Responsible use

Analyze public pages you are authorized to access. Apply relevant site terms, intellectual-property rules, privacy obligations, and applicable law to collection, storage, and downstream use. Technology observations are research signals rather than security assurances or proof of current software versions.

Pricing and run costs

This Actor uses Pay per event plus Apify platform usage. The Pricing tab lists the current event rates and billing terms.

Event	Billing unit	When it applies
apify-actor-start	Actor Start	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
technology-report	Technology report	One validated website technology report persisted from managed catalog data, current public-page evidence, or both.

Run cost combines the charged events and Apify platform usage. Review the run charge limit and requested result count before starting.

Connect an AI agent

Use the Apify MCP configurator to choose an available client connection. Inspect this Actor’s current input schema and required credentials before running it.