# Website Tech Stack Detector (`seemuapps/website-tech-stack-detector`) Actor Detect the technologies behind any website CMS, ecommerce, JS frameworks, analytics, payments, CDN, web server, and email provider plus DNS and MX records, in one row per domain. - **URL**: https://apify.com/seemuapps/website-tech-stack-detector.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Developer tools, AI, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 domain inspecteds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 Detector Find out what any website is built with — no API key required. Pass a list of domains and get one clean row per site with the CMS, ecommerce platform, JavaScript framework, analytics, payment, and marketing tools it uses, plus its CDN, web server, email provider, and DNS records. ### What you get - **Technologies by category** — CMS, ecommerce, JavaScript framework, analytics, tag manager, marketing, payments, fonts, CDN, hosting, and web server - **`technologiesFlat`** — a single de-duplicated list of every detected technology - **Server & X-Powered-By** headers - **CDN / hosting** — Cloudflare, Fastly, Akamai, CloudFront, Vercel, Netlify, and more - **Email provider** — inferred from MX records (Google Workspace, Microsoft 365, Zoho, Proton, Proofpoint, etc.) - **DNS records** — A records (with primary IP), MX records, and name servers (NS) - **Page title** and final URL after redirects ### Use cases - **Lead qualification & enrichment** — score prospects by the tools they run (e.g. find every Shopify or HubSpot site in a list) - **Competitive intelligence** — see which analytics, payment, and marketing stack competitors use - **Sales prospecting** — build target lists of sites running a specific platform you integrate with - **Tech due diligence** — quick technology snapshot for a portfolio of domains - **Email-provider segmentation** — split a domain list by Google Workspace vs Microsoft 365 ### How to use 1. Paste one or more **domains** (e.g. `apify.com`) or full URLs 2. Optionally set **Max Items** to cap how many domains are analyzed (`0` = all) 3. Run the actor — results land in the **Dataset** tab 4. Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console #### Example input ```json { "domains": ["apify.com", "shopify.com", "vercel.com"], "maxItems": 0 } ```` ### Output format One dataset record per domain: ```json { "input": "shopify.com", "domain": "shopify.com", "finalUrl": "https://www.shopify.com/", "statusCode": 200, "ipAddress": "23.227.38.74", "server": "cloudflare", "poweredBy": null, "cdn": "Cloudflare", "emailProvider": "Google Workspace", "technologies": { "JavaScript Framework": ["React"], "Analytics": ["Google Analytics", "Segment"], "CDN": ["Cloudflare"] }, "technologiesFlat": ["Cloudflare", "Google Analytics", "React", "Segment"], "mxRecords": ["aspmx.l.google.com"], "nsRecords": ["ns1.dnsimple.com"], "aRecords": ["23.227.38.74"], "title": "Shopify - The all-in-one commerce platform", "error": null } ``` ### Notes - Detection is based on homepage HTML, response headers, and DNS — it reflects what's visible on the landing page. Tools loaded only on inner pages or after consent may not appear. - `error` is populated when a site can't be fetched (timeout, block, or non-2xx); DNS fields may still be filled in those cases. # Actor input Schema ## `domains` (type: `array`): Domains or full URLs to analyze, e.g. 'apify.com' or 'https://www.shopify.com'. One row per domain is pushed to the dataset. ## `maxItems` (type: `integer`): Maximum number of domains to analyze. 0 = analyze all domains in the list. ## Actor input object example ```json { "domains": [ "apify.com", "shopify.com" ], "maxItems": 0 } ``` # Actor output Schema ## `results` (type: `string`): Each record: { input, domain, finalUrl, statusCode, ipAddress, server, poweredBy, cdn, emailProvider, technologies, technologiesFlat, mxRecords, nsRecords, aRecords, title, error } # 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 = { "domains": [ "apify.com", "shopify.com" ], "maxItems": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/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 = { "domains": [ "apify.com", "shopify.com", ], "maxItems": 0, } # Run the Actor and wait for it to finish run = client.actor("seemuapps/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 '{ "domains": [ "apify.com", "shopify.com" ], "maxItems": 0 }' | apify call seemuapps/website-tech-stack-detector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/website-tech-stack-detector", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Tech Stack Detector", "description": "Detect the technologies behind any website CMS, ecommerce, JS frameworks, analytics, payments, CDN, web server, and email provider plus DNS and MX records, in one row per domain.", "version": "1.0", "x-build-id": "HnjeBLCV6BRbl2FSJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~website-tech-stack-detector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~website-tech-stack-detector/runs": { "post": { "operationId": "runs-sync-seemuapps-website-tech-stack-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~website-tech-stack-detector/run-sync": { "post": { "operationId": "run-sync-seemuapps-website-tech-stack-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "domains" ], "properties": { "domains": { "title": "Domains", "type": "array", "description": "Domains or full URLs to analyze, e.g. 'apify.com' or 'https://www.shopify.com'. One row per domain is pushed to the dataset.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of domains to analyze. 0 = analyze all domains in the list.", "default": 0 } } }, "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 } } } } } } } } } } ```