# Company Tech-Stack Detector — Website Technology Lookup (`zinin/tech-stack-detector`) Actor Detect the technologies a website runs — CMS, ecommerce platform, analytics, marketing/CRM, JS framework, hosting/CDN, chat and payments — straight from its public HTML and HTTP headers. No browser, no proxies, no login. Built for sales targeting and competitive research. - **URL**: https://apify.com/zinin/tech-stack-detector.md - **Developed by:** [Tim Zinin](https://apify.com/zinin) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 results 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Company Tech-Stack Detector — Website Technology Lookup **What is this site built with?** Point this Actor at any list of websites and get back the technologies each one runs — CMS, ecommerce platform, analytics, marketing/CRM, JS framework, hosting/CDN, chat widget and payment provider — read straight from the public HTML and HTTP headers. No browser, no proxies, no login. Per website you get: - 🧱 **CMS** (WordPress, Webflow, Shopify, Wix, Squarespace, Drupal, Ghost, Tilda, Framer…) - 🛒 **Ecommerce platform** (Shopify, WooCommerce, Magento, BigCommerce, Salesforce Commerce, PrestaShop) - 📊 **Analytics & tags** (GA4, GTM, Meta Pixel, Hotjar, Segment, Amplitude, Mixpanel, Clarity, Plausible) - 📣 **Marketing / CRM** (HubSpot, Marketo, Pardot, Klaviyo, Mailchimp) - 💬 **Chat & support** (Intercom, Drift, Zendesk, Crisp, Tawk, Calendly) - ⚛️ **Framework** (Next.js, Nuxt, Gatsby, Angular, jQuery) - 💳 **Payments** (Stripe, PayPal) - ☁️ **Hosting / CDN** (Cloudflare, Vercel, Netlify, CloudFront, Fastly, GitHub Pages, nginx, Apache) - 🎯 **Sales signals** — plain-English cues like *"runs an online store (Shopify)"*, *"invests in marketing automation (HubSpot)"*, *"SaaS with customer-success budget (Intercom)"* ### Who is this for - **Sales & SDR teams** — qualify and segment leads by the tools they already run ("everyone on Shopify + Klaviyo") - **Agencies** — find prospects on a platform you specialize in, or audit a client's stack - **Competitive & market research** — see what a set of competitors is built on - **Recruiters & analysts** — infer a company's engineering choices from the outside ### Why it matters Technographic data behind tools like BuiltWith (**$295–995/mo**) and Wappalyzer (**$250–450/mo**, with credits that expire) is derived from the same public source: a page's own HTML and headers. This Actor reads that directly and pays **per website checked** — no monthly seat, no expiring credits. ### Accuracy Detection is signature-based over the homepage HTML and response headers. Path-based fingerprints (e.g. `wp-content/`) are matched **only when they belong to the site itself** — a third-party widget hosted on someone else's WordPress CDN will not misflag the page. Detections are conservative: it reports what it can confirm, not guesses. ### Input ```json { "websites": ["shopify.com", "https://example.com"], "maxConcurrency": 10 } ```` ### Output (one item per website) ```json { "url": "https://allbirds.com/", "found": true, "httpStatus": 200, "technologiesCount": 4, "technologies": ["Shopify", "Google Tag Manager", "Zendesk", "Cloudflare"], "byCategory": { "Ecommerce": ["Shopify"], "Tag Manager": ["Google Tag Manager"], "Chat/Support": ["Zendesk"], "Hosting/CDN": ["Cloudflare"] }, "cms": null, "ecommerce": "Shopify", "hosting": "Cloudflare", "salesSignals": ["runs an online store (Shopify)"], "summary": "https://allbirds.com/ — Shopify, Google Tag Manager, Cloudflare. 4 technologies detected. Signal: runs an online store (Shopify)." } ``` ### FAQ **Does it render JavaScript?** No — it reads the served HTML and headers. That's fast, cheap and enough for the fingerprints above. Technologies injected only after heavy client-side rendering may not appear. **Is it accurate?** It reports confirmed signatures and avoids the common false positives (e.g. a foreign CDN asset won't mislabel the whole site). It won't detect a technology that leaves no public trace on the homepage. **Is this legal?** Yes — it reads publicly served HTML and standard HTTP headers, the same data any browser receives. **Can I filter by technology?** Each result lists `technologies` and `byCategory`; filter the dataset downstream (e.g. keep only rows where `ecommerce == "Shopify"`). # Actor input Schema ## `websites` (type: `array`): List of websites to fingerprint (e.g. `shopify.com` or `https://example.com`). One row per site. ## `maxConcurrency` (type: `integer`): How many websites to fingerprint in parallel. ## Actor input object example ```json { "websites": [ "shopify.com", "wordpress.org", "vercel.com" ], "maxConcurrency": 10 } ``` # 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 = { "websites": [ "shopify.com", "wordpress.org", "vercel.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("zinin/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 = { "websites": [ "shopify.com", "wordpress.org", "vercel.com", ] } # Run the Actor and wait for it to finish run = client.actor("zinin/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 '{ "websites": [ "shopify.com", "wordpress.org", "vercel.com" ] }' | apify call zinin/tech-stack-detector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zinin/tech-stack-detector", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Tech-Stack Detector — Website Technology Lookup", "description": "Detect the technologies a website runs — CMS, ecommerce platform, analytics, marketing/CRM, JS framework, hosting/CDN, chat and payments — straight from its public HTML and HTTP headers. No browser, no proxies, no login. Built for sales targeting and competitive research.", "version": "0.1", "x-build-id": "CNFwfBa8WIjAefvsz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zinin~tech-stack-detector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zinin-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zinin~tech-stack-detector/runs": { "post": { "operationId": "runs-sync-zinin-tech-stack-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zinin~tech-stack-detector/run-sync": { "post": { "operationId": "run-sync-zinin-tech-stack-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "websites" ], "properties": { "websites": { "title": "Websites", "type": "array", "description": "List of websites to fingerprint (e.g. `shopify.com` or `https://example.com`). One row per site.", "items": { "type": "string" } }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many websites to fingerprint in parallel.", "default": 10 } } }, "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 } } } } } } } } } } ```