# Website Tech Stack Intelligence + AI (Sales & Modernization) (`lizzyyy2/tech-stack-intelligence-ai`) Actor Detect any website's technology stack (CMS, frameworks, analytics, marketing, payments, CDN) over HTTP, then turn it into AI sales-gap intelligence with a personalized opener and/or a modernization & security audit with prioritized fixes. Built-in AI, no API key. - **URL**: https://apify.com/lizzyyy2/tech-stack-intelligence-ai.md - **Developed by:** [Lizzy](https://apify.com/lizzyyy2) (community) - **Categories:** AI, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 website analyzeds 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 Intelligence + AI Detect any website's **technology stack** over plain HTTP — CMS, frameworks, JavaScript libraries, analytics, marketing automation, payments, CDN, live chat, reviews and more — then turn that raw detection into one of two **AI work products**: - **Sales gaps** — what valuable capabilities the site is *missing*, an estimated SaaS spend tier, a fit score and a ready-to-send **personalized outreach opener**. - **Modernization & security audit** — outdated/end-of-life tech and missing security headers, with a prioritized fix list and an **agency pitch** you can send to win the project. Run either report, or **both** in one pass. Built-in AI — **no API key required.** --- ### Who it's for - **B2B sales / agencies** — find prospects by what they use (and don't use), and open with a message tied to their actual stack. - **Web / dev agencies** — surface sites running AngularJS, old jQuery, end-of-life PHP, no HTTPS/HSTS/CSP and pitch a modernization project. - **Competitive & market research** — map the tooling behind a list of companies at scale. ### Input | Field | Description | |-------|-------------| | `domains` | Domains or full URLs, one per line (e.g. `shopify.com`, `https://example.com`). | | `analysisMode` | `both` (default), `sales`, or `modernization`. | | `yourOffer` | *(sales mode)* What you sell, so the AI scores fit and tailors the opener. | | `aiEnrichment` | Turn AI on/off. Off = raw tech detection only (no AI charges). | | `aiLanguage` | Language for AI-written fields (default English). | | `proxyConfiguration` | Apify Proxy recommended (rotating IPs). | ### Output (per website) ```jsonc { "input": "example.com", "reachable": true, "technologyCount": 9, "technologies": [ { "name": "Shopify", "category": "ecommerce", "version": null, "confidence": "high" } ], "categoriesPresent": ["E-commerce platform", "CDN", "Analytics"], "missingCapabilities": ["Email / marketing automation", "Live chat / support", "Reviews / social proof"], "estimatedSpendTier": "Medium", "modernizationFlags": [ { "tech": "jQuery 1.12.4", "severity": "high", "issue": "..." } ], "riskLevel": "High", "salesAnalysis": { "opportunitySummary": "...", "fitScore": 78, "personalizedOpener": "...", "bestAngle": "..." }, "modernizationAnalysis": { "riskLevel": "High", "outdatedFindings": ["..."], "recommendations": ["..."], "agencyPitch": "..." } } ```` ### How it works Each site's homepage is fetched once over HTTP (no browser). Technologies are matched from HTML markup, asset URLs, response headers and cookies. Modernization/security flags (EOL libraries, version disclosure, missing HTTPS/HSTS/CSP) are computed deterministically, then the built-in AI turns the findings into the human-readable sales or modernization report. ### Notes & limits - Detection is **signature-based** and conservative — it reports what's visible in the initial HTML response. Tools loaded only after heavy client-side JavaScript may not be detected. - One homepage request per domain keeps runs fast and cheap. - Always respect each website's terms and applicable laws when scraping. # Actor input Schema ## `domains` (type: `array`): Domains or full URLs to analyze, one per line (e.g. "shopify.com" or "https://example.com"). The homepage of each is fetched over HTTP. ## `analysisMode` (type: `string`): What AI report(s) to produce. "Sales" finds capability gaps and writes a personalized outreach opener. "Modernization" audits outdated/insecure tech for an agency pitch. "Both" runs the two reports. ## `yourOffer` (type: `string`): Describe the product/service you sell so the AI can score fit and tailor the outreach opener (e.g. "email marketing platform for Shopify stores"). Leave empty for a generic opportunity read. ## `aiEnrichment` (type: `boolean`): Run the built-in AI to produce the sales and/or modernization report. Turn off to get raw technology detection only (no AI charges). ## `aiLanguage` (type: `string`): Language for the AI-written fields (summaries, openers, recommendations). ## `proxyConfiguration` (type: `object`): Apify Proxy is recommended so requests come from rotating IPs. ## Actor input object example ```json { "domains": [ "shopify.com", "https://www.notion.so" ], "analysisMode": "both", "aiEnrichment": true, "aiLanguage": "English", "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): Per-website technology detection plus AI sales-gap and/or modernization analysis in the default dataset. # 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", "monday.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lizzyyy2/tech-stack-intelligence-ai").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", "monday.com", ] } # Run the Actor and wait for it to finish run = client.actor("lizzyyy2/tech-stack-intelligence-ai").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", "monday.com" ] }' | apify call lizzyyy2/tech-stack-intelligence-ai --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lizzyyy2/tech-stack-intelligence-ai", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Tech Stack Intelligence + AI (Sales & Modernization)", "description": "Detect any website's technology stack (CMS, frameworks, analytics, marketing, payments, CDN) over HTTP, then turn it into AI sales-gap intelligence with a personalized opener and/or a modernization & security audit with prioritized fixes. Built-in AI, no API key.", "version": "0.1", "x-build-id": "5owSttnWuWHAhDbiD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lizzyyy2~tech-stack-intelligence-ai/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lizzyyy2-tech-stack-intelligence-ai", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lizzyyy2~tech-stack-intelligence-ai/runs": { "post": { "operationId": "runs-sync-lizzyyy2-tech-stack-intelligence-ai", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lizzyyy2~tech-stack-intelligence-ai/run-sync": { "post": { "operationId": "run-sync-lizzyyy2-tech-stack-intelligence-ai", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Websites / domains", "type": "array", "description": "Domains or full URLs to analyze, one per line (e.g. \"shopify.com\" or \"https://example.com\"). The homepage of each is fetched over HTTP.", "items": { "type": "string" } }, "analysisMode": { "title": "Analysis mode", "enum": [ "both", "sales", "modernization" ], "type": "string", "description": "What AI report(s) to produce. \"Sales\" finds capability gaps and writes a personalized outreach opener. \"Modernization\" audits outdated/insecure tech for an agency pitch. \"Both\" runs the two reports.", "default": "both" }, "yourOffer": { "title": "What you sell (optional, sales mode)", "type": "string", "description": "Describe the product/service you sell so the AI can score fit and tailor the outreach opener (e.g. \"email marketing platform for Shopify stores\"). Leave empty for a generic opportunity read." }, "aiEnrichment": { "title": "Enable AI analysis", "type": "boolean", "description": "Run the built-in AI to produce the sales and/or modernization report. Turn off to get raw technology detection only (no AI charges).", "default": true }, "aiLanguage": { "title": "AI output language", "type": "string", "description": "Language for the AI-written fields (summaries, openers, recommendations).", "default": "English" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy is recommended so requests come from rotating IPs.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```