# Website Tech Stack — Frameworks Analytics CDN Detect (`v0iddo/website-tech-stack-detector`) Actor One HTTP probe per URL → detect frameworks (React, Vue, Next, Nuxt, Svelte), analytics (GA, Plausible, Mixpanel), CDN (Cloudflare, Vercel, Netlify), language hints. Static-HTML pattern match, no JS execution. - **URL**: https://apify.com/v0iddo/website-tech-stack-detector.md - **Developed by:** [vøiddo](https://apify.com/v0iddo) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Website Tech Stack — Frameworks Analytics CDN Detect **Wappalyzer-style HTML probe.** One HTTP GET per URL → detect JS frameworks, analytics tools, CDN, CMS, and language. Pure HTTP, no JS execution required. --- ### Example output row ```json { "url": "stripe.com", "finalUrl": "https://stripe.com/", "httpStatus": 200, "server": "envoy", "cdn": "Cloudflare", "frameworks": ["React", "Next.js"], "analytics": ["Google Analytics", "Segment"], "cms": "", "language": "en" } ```` *** ### How to use **Input shape:** ```json { "urls": ["stripe.com", "notion.so", "figma.com"], "followRedirects": true } ``` | Field | Type | Default | Description | |---|---|---|---| | `urls` | array of strings | `["stripe.com","notion.so","figma.com"]` | Domains or full `https://` URLs to probe | | `followRedirects` | boolean | `true` | Follow up to 3 HTTP redirects per URL | **Output:** one dataset row per input URL with the fields shown above. Detected signals: - **Frameworks:** React, Vue, Next.js, Nuxt, Svelte, Angular, Ember - **Analytics:** Google Analytics, Plausible, Mixpanel, Amplitude, Segment, Hotjar, PostHog - **CDN:** Cloudflare, Vercel, Netlify, CloudFront, Fastly, Akamai (via headers) - **CMS:** WordPress, Shopify, Drupal, Ghost, Webflow, Squarespace, Wix - **Language:** from `` attribute *** ### Pricing | Event | Description | Price | |---|---|---| | `tech_snapshot` | One URL probed and tech-stack-detected. | $0.001 | You are charged one `tech_snapshot` event per URL in the `urls` input list, regardless of what is detected. A 404 or redirect error still costs one event because the HTTP probe was made. *** ### Buyer - Sales engineers and SaaS founders who need to **qualify prospects** by the tools their site runs — target only Next.js shops, Shopify merchants, etc. - Marketing teams building **competitor intelligence** dashboards by tech category. - Growth hackers looking for sites running **a specific analytics or CMS stack** to pitch migration services. - Agencies auditing **client site hygiene** before onboarding — identify legacy stacks or missing analytics in bulk. - Researchers mapping **technology adoption trends** across a curated URL list. *** ### Source Data is collected directly from the target website via a single HTTP GET request per URL. No third-party API is involved. - **Endpoint pattern:** `https://{url}` (GET) - **Detection method:** response headers (`Server`, `CF-Ray`, `Via`, `X-Powered-By`) + static HTML body regex - **No JavaScript execution** — dynamic or client-side-only signals are not detected # Actor input Schema ## `urls` (type: `array`): URLs to probe (domain or full https URL) ## `followRedirects` (type: `boolean`): Follow up to 3 redirects per URL ## Actor input object example ```json { "urls": [ "stripe.com", "notion.so", "figma.com" ], "followRedirects": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "stripe.com", "notion.so", "figma.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("v0iddo/website-tech-stack-detector").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": [ "stripe.com", "notion.so", "figma.com", ] } # Run the Actor and wait for it to finish run = client.actor("v0iddo/website-tech-stack-detector").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "stripe.com", "notion.so", "figma.com" ] }' | apify call v0iddo/website-tech-stack-detector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=v0iddo/website-tech-stack-detector", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Tech Stack — Frameworks Analytics CDN Detect", "description": "One HTTP probe per URL → detect frameworks (React, Vue, Next, Nuxt, Svelte), analytics (GA, Plausible, Mixpanel), CDN (Cloudflare, Vercel, Netlify), language hints. Static-HTML pattern match, no JS execution.", "version": "0.1", "x-build-id": "KhZZ7n2AVmrd5aq9Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/v0iddo~website-tech-stack-detector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-v0iddo-website-tech-stack-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/v0iddo~website-tech-stack-detector/runs": { "post": { "operationId": "runs-sync-v0iddo-website-tech-stack-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/v0iddo~website-tech-stack-detector/run-sync": { "post": { "operationId": "run-sync-v0iddo-website-tech-stack-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "urls": { "title": "urls", "type": "array", "description": "URLs to probe (domain or full https URL)", "default": [], "items": { "type": "string" } }, "followRedirects": { "title": "followRedirects", "type": "boolean", "description": "Follow up to 3 redirects per URL", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```