# Website Tech Stack & SEO Snapshot (`knotted_tussock/website-tech-seo-snapshot`) Actor Analyze websites for visible technology, SEO metadata, analytics tags, CMS/ecommerce signals, and lead-qualification gaps. - **URL**: https://apify.com/knotted\_tussock/website-tech-seo-snapshot.md - **Developed by:** [Ralph T](https://apify.com/knotted_tussock) (community) - **Categories:** SEO tools, Lead generation, Developer tools - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 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 & SEO Snapshot Analyze websites for visible technology, analytics/marketing tags, SEO metadata, and simple lead-qualification gaps. ### What it does - Fetches one or more websites. - Extracts title, meta description, H1, canonical URL, and Open Graph coverage. - Detects visible technology signals such as WordPress, Shopify, Webflow, Wix, Squarespace, Next.js, React, HubSpot, Cloudflare, Vercel, Netlify, and common analytics tags. - Flags basic SEO issues. - Produces a simple `leadScore` and `leadReasons` array for agency prospecting. ### Best for - Website audit lead lists. - Agency prospect qualification. - Enriching business URLs with tech/SEO signals. - Finding sites with missing analytics, missing metadata, or obvious modernization opportunities. ### Input example ```json { "startUrls": [ { "url": "https://apify.com" }, { "url": "https://example.com" } ], "timeoutMs": 15000, "maxUrls": 25, "includeHtmlSignals": true } ```` ### Output example ```json { "url": "https://example.com", "finalUrl": "https://example.com/", "status": 200, "title": "Example Domain", "metaDescription": "", "h1": "Example Domain", "canonicalUrl": "https://example.com/", "technologies": ["Cloudflare"], "analytics": [], "seoIssues": ["Missing meta description", "Missing Open Graph image"], "leadScore": 40, "leadReasons": ["Missing meta description", "No common analytics/marketing tag detected"], "checkedAt": "2026-07-04T00:00:00.000Z" } ``` ### Notes - This Actor detects visible front-end/header signals only. It is not a full Wappalyzer replacement. - Detection is heuristic and best used for triage, enrichment, and prospecting. - Keep batches small at first, inspect output, then scale up. # Actor input Schema ## `startUrls` (type: `array`): Websites to analyze. Each item can be a URL string or request object. ## `timeoutMs` (type: `integer`): HTTP fetch timeout per URL. ## `maxUrls` (type: `integer`): Maximum number of submitted URLs to analyze. ## `includeHtmlSignals` (type: `boolean`): Include selected meta/link/script counts and signal arrays useful for QA. ## Actor input object example ```json { "startUrls": [ { "url": "https://apify.com" } ], "timeoutMs": 15000, "maxUrls": 25, "includeHtmlSignals": true } ``` # Actor output Schema ## `results` (type: `string`): Analyzed website rows in the default dataset. ## `summary` (type: `string`): Summary JSON with counts and failures. # 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 = { "startUrls": [ { "url": "https://apify.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("knotted_tussock/website-tech-seo-snapshot").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 = { "startUrls": [{ "url": "https://apify.com" }] } # Run the Actor and wait for it to finish run = client.actor("knotted_tussock/website-tech-seo-snapshot").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 '{ "startUrls": [ { "url": "https://apify.com" } ] }' | apify call knotted_tussock/website-tech-seo-snapshot --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotted_tussock/website-tech-seo-snapshot", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Tech Stack & SEO Snapshot", "description": "Analyze websites for visible technology, SEO metadata, analytics tags, CMS/ecommerce signals, and lead-qualification gaps.", "version": "0.1", "x-build-id": "5PIxZDvEMsPzi9aAY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotted_tussock~website-tech-seo-snapshot/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotted_tussock-website-tech-seo-snapshot", "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/knotted_tussock~website-tech-seo-snapshot/runs": { "post": { "operationId": "runs-sync-knotted_tussock-website-tech-seo-snapshot", "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/knotted_tussock~website-tech-seo-snapshot/run-sync": { "post": { "operationId": "run-sync-knotted_tussock-website-tech-seo-snapshot", "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": [ "startUrls" ], "properties": { "startUrls": { "title": "Website URLs", "type": "array", "description": "Websites to analyze. Each item can be a URL string or request object.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "timeoutMs": { "title": "Request timeout milliseconds", "minimum": 1000, "maximum": 60000, "type": "integer", "description": "HTTP fetch timeout per URL.", "default": 15000 }, "maxUrls": { "title": "Maximum URLs", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of submitted URLs to analyze.", "default": 25 }, "includeHtmlSignals": { "title": "Include HTML signal snippets", "type": "boolean", "description": "Include selected meta/link/script counts and signal arrays useful for QA.", "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 } } } } } } } } } } ```