# Company Tech Stack Detector (`dash_authority/company-tech-stack-detector`) Actor Detect technologies used by websites including CMS, analytics, marketing tools, CDN, and hosting providers. Alternative to BuiltWith for competitive intelligence and sales prospecting. - **URL**: https://apify.com/dash\_authority/company-tech-stack-detector.md - **Developed by:** [Dash Authority](https://apify.com/dash_authority) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $2.50 / 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.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 ## Company Tech Stack Detector Identify what technologies any website runs. Analyzes HTTP headers, HTML source, and script patterns to detect CMS, analytics, marketing tools, CDNs, and more. Works as a BuiltWith alternative with no API key required. ### Features - Detect CMS: WordPress, Drupal, Joomla, Shopify, Webflow, Squarespace - Identify analytics: Google Analytics, Mixpanel, Amplitude, Hotjar, Matomo - Find tag managers: Google Tag Manager, Segment, Adobe Launch - Detect ecommerce: Shopify, WooCommerce, Magento, BigCommerce - Identify CDN: Cloudflare, Fastly, CloudFront, Varnish, Akamai - Find marketing tools: HubSpot, Mailchimp, Klaviyo, ActiveCampaign - Detect chat/support: Intercom, Drift, Zendesk, Crisp - Find payment processors: Stripe, PayPal, Braintree - Deep mode: also checks robots.txt and sitemap.xml for extra signals - 40+ technology signatures total ### Use Cases - Competitive intelligence: see what stack competitors run before a pitch - Sales prospecting: filter leads by technology — "everyone on Shopify using Klaviyo" - Market research: track adoption rates of platforms across an industry - Agency audits: hand prospects a full tech breakdown of their current site - Partnership targeting: find sites running complementary tools for integration sales ### Input | Field | Type | Required | Description | Default | |-------|------|----------|-------------|---------| | urls | array of strings | Yes | Domains or full URLs to analyze | — | | deep | boolean | No | Also inspect robots.txt and sitemap.xml | false | Example input: { "urls": ["example.com", "https://store.example.com"], "deep": true } ### Output One result per URL: { "url": "example.com", "technologies": [ {"name": "WordPress", "category": "CMS", "confidence": 0.95}, {"name": "Google Tag Manager", "category": "Tag Manager", "confidence": 1.0}, {"name": "Cloudflare", "category": "CDN", "confidence": 1.0}, {"name": "HubSpot", "category": "Marketing", "confidence": 0.85}, {"name": "Stripe", "category": "Payment", "confidence": 0.9} ], "server": "nginx/1.21.0", "headers_summary": { "server": "nginx/1.21.0", "x-powered-by": "PHP/8.1", "cf-ray": "present", "x-cache": "not present" } } | Field | Type | Description | |-------|------|-------------| | url | string | The URL that was analyzed | | technologies | array | Detected tech: name (string), category (string), confidence (float 0-1) | | server | string | Server header value | | headers_summary | object | Key HTTP headers and whether they are present | ### Pricing $2.50 per 1,000 results ($0.0025 per result). ### How It Works Sends an HTTP GET request, then scans the HTML source for known script URLs, meta tags, and fingerprint strings. Matches against a 40+ signature database covering major SaaS tools. Also parses HTTP response headers for server identification. Deep mode fetches /robots.txt and /sitemap.xml for additional clues. ### FAQ How accurate is it? Pattern-matching catches well-known tools at roughly 85% accuracy. Custom or heavily minified sites may return fewer detections. Confidence scores help you filter noise. What if a site blocks the request? The actor returns whatever it can extract from partial headers. Cloudflare-protected sites sometimes yield only the CDN detection. Do I need authentication? No. All detection is passive — reads public HTML and headers. No API keys or login required. Does deep mode slow things down? Slightly. It makes 2-3 extra requests per URL (robots.txt, sitemap.xml). Adds about 1 second per site. ### Limits - Timeout: 15 seconds per URL - Works on publicly accessible sites only (no login walls or paywalls) - JavaScript-rendered tech (loaded after page load) may be missed - Confidence scores below 0.5 are filtered from results # Actor input Schema ## `urls` (type: `array`): List of website domains or URLs to analyze for technology stack ## `deep` (type: `boolean`): If true, also check /robots.txt and /sitemap.xml for additional technology fingerprints ## Actor input object example ```json { "deep": false } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dash_authority/company-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 = {} # Run the Actor and wait for it to finish run = client.actor("dash_authority/company-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 '{}' | apify call dash_authority/company-tech-stack-detector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dash_authority/company-tech-stack-detector", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Tech Stack Detector", "description": "Detect technologies used by websites including CMS, analytics, marketing tools, CDN, and hosting providers. Alternative to BuiltWith for competitive intelligence and sales prospecting.", "version": "1.0", "x-build-id": "wS8A5SoXuMlrzE6x1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dash_authority~company-tech-stack-detector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dash_authority-company-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dash_authority~company-tech-stack-detector/runs": { "post": { "operationId": "runs-sync-dash_authority-company-tech-stack-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dash_authority~company-tech-stack-detector/run-sync": { "post": { "operationId": "run-sync-dash_authority-company-tech-stack-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Website URLs", "type": "array", "description": "List of website domains or URLs to analyze for technology stack", "items": { "type": "string" } }, "deep": { "title": "Deep Analysis", "type": "boolean", "description": "If true, also check /robots.txt and /sitemap.xml for additional technology fingerprints", "default": false } } }, "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 } } } } } } } } } } ```