# Website Technology ICP Signal Monitor (`signaltools/website-technology-icp-signal-monitor`) Actor Scan public websites for technology-stack clues, ICP keyword fit, buying-signal copy, and deltas for CRM-ready lead qualification. - **URL**: https://apify.com/signaltools/website-technology-icp-signal-monitor.md - **Developed by:** [Stephen Coulson](https://apify.com/signaltools) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 2 total users, 1 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 Technology ICP Signal Monitor Scan public websites for technology-stack clues, ICP keyword fit, buying-signal copy, and deltas. The Actor turns commodity website-tech scanning demand into CRM-ready qualification rows for GTM, sales, product, and market-mapping workflows. ### What it does - Fetches public websites with a normal HTTP request; no login, cookies, private pages, or paid proxies. - Detects common public technology/vendor clues such as WordPress, Webflow, HubSpot, Intercom, Zendesk, Google Tag Manager, Segment, Shopify, Calendly, Stripe, Workday, Greenhouse, and Lever. - Scores ICP fit from configurable keywords such as `property management`, `facilities management`, `maintenance`, `compliance`, `tenant`, `workspace`, and `portfolio`. - Tags buying-signal copy such as `book a demo`, `pricing`, `enterprise`, `integrations`, `AI`, `automation`, `reporting`, and `scale`. - Persists named key-value-store snapshots to emit `new`, `unchanged`, `changed`, and optional `removed` rows across recurring runs. ### Output Each dataset row contains: - target name/category/region/URL; - detected technologies plus added/removed technologies vs the previous snapshot; - matched ICP and buying-signal keywords; - `icp_score` and `signal_tier`; - content hash, changed fields, and error/status metadata. ### Use cases - CRM-ready lead qualification for property/FM/workplace suppliers and SaaS vendors. - Competitive website-tech change monitoring. - Public account-intelligence inputs for outbound prioritisation without authenticated scraping. # Actor input Schema ## `targets` (type: `array`): Public company or product websites to qualify. No login, cookies, or private pages are used. ## `icpKeywords` (type: `array`): Terms that increase fit score when found in public website copy. ## `buyingSignalKeywords` (type: `array`): Terms that suggest budget, growth, migration, or operational urgency. ## `maxTextChars` (type: `integer`): Safety cap for normalized website text stored in memory/snapshot. ## `enableDelta` (type: `boolean`): Compare current website tech/signals with previous named snapshot. ## `emitRemoved` (type: `boolean`): Emit rows for websites present in the previous snapshot but missing from this input. ## `persistSnapshot` (type: `boolean`): Save current results in the named key-value store for future delta/history runs. ## Actor input object example ```json { "targets": [ { "name": "Kitt", "url": "https://www.kittoffices.com", "category": "workplace", "region": "UK" }, { "name": "Re-Leased", "url": "https://www.re-leased.com", "category": "property_software", "region": "UK" }, { "name": "Elogbooks", "url": "https://www.elogbooks.co.uk", "category": "fm_software", "region": "UK" } ], "icpKeywords": [ "property management", "facilities management", "building operations", "maintenance", "compliance", "contractor", "resident", "tenant", "service charge", "workspace", "office", "portfolio" ], "buyingSignalKeywords": [ "book a demo", "request a demo", "pricing", "enterprise", "integrations", "AI", "automation", "compliance", "reporting", "maintenance", "contractors", "scale" ], "maxTextChars": 50000, "enableDelta": true, "emitRemoved": false, "persistSnapshot": true } ```` # Actor output Schema ## `results` (type: `string`): Rows with detected technologies, ICP keyword fit, buying-signal keywords, scores, and delta status. ## `summary` (type: `string`): Aggregate run status, tier counts, and top-scoring targets. # 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 = { "targets": [ { "name": "Kitt", "url": "https://www.kittoffices.com", "category": "workplace", "region": "UK" }, { "name": "Re-Leased", "url": "https://www.re-leased.com", "category": "property_software", "region": "UK" }, { "name": "Elogbooks", "url": "https://www.elogbooks.co.uk", "category": "fm_software", "region": "UK" } ], "icpKeywords": [ "property management", "facilities management", "building operations", "maintenance", "compliance", "contractor", "resident", "tenant", "service charge", "workspace", "office", "portfolio" ], "buyingSignalKeywords": [ "book a demo", "request a demo", "pricing", "enterprise", "integrations", "AI", "automation", "compliance", "reporting", "maintenance", "contractors", "scale" ] }; // Run the Actor and wait for it to finish const run = await client.actor("signaltools/website-technology-icp-signal-monitor").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 = { "targets": [ { "name": "Kitt", "url": "https://www.kittoffices.com", "category": "workplace", "region": "UK", }, { "name": "Re-Leased", "url": "https://www.re-leased.com", "category": "property_software", "region": "UK", }, { "name": "Elogbooks", "url": "https://www.elogbooks.co.uk", "category": "fm_software", "region": "UK", }, ], "icpKeywords": [ "property management", "facilities management", "building operations", "maintenance", "compliance", "contractor", "resident", "tenant", "service charge", "workspace", "office", "portfolio", ], "buyingSignalKeywords": [ "book a demo", "request a demo", "pricing", "enterprise", "integrations", "AI", "automation", "compliance", "reporting", "maintenance", "contractors", "scale", ], } # Run the Actor and wait for it to finish run = client.actor("signaltools/website-technology-icp-signal-monitor").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 '{ "targets": [ { "name": "Kitt", "url": "https://www.kittoffices.com", "category": "workplace", "region": "UK" }, { "name": "Re-Leased", "url": "https://www.re-leased.com", "category": "property_software", "region": "UK" }, { "name": "Elogbooks", "url": "https://www.elogbooks.co.uk", "category": "fm_software", "region": "UK" } ], "icpKeywords": [ "property management", "facilities management", "building operations", "maintenance", "compliance", "contractor", "resident", "tenant", "service charge", "workspace", "office", "portfolio" ], "buyingSignalKeywords": [ "book a demo", "request a demo", "pricing", "enterprise", "integrations", "AI", "automation", "compliance", "reporting", "maintenance", "contractors", "scale" ] }' | apify call signaltools/website-technology-icp-signal-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=signaltools/website-technology-icp-signal-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Technology ICP Signal Monitor", "description": "Scan public websites for technology-stack clues, ICP keyword fit, buying-signal copy, and deltas for CRM-ready lead qualification.", "version": "0.1", "x-build-id": "SZusprHrdo3lopD5c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/signaltools~website-technology-icp-signal-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-signaltools-website-technology-icp-signal-monitor", "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/signaltools~website-technology-icp-signal-monitor/runs": { "post": { "operationId": "runs-sync-signaltools-website-technology-icp-signal-monitor", "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/signaltools~website-technology-icp-signal-monitor/run-sync": { "post": { "operationId": "run-sync-signaltools-website-technology-icp-signal-monitor", "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": [ "targets" ], "properties": { "targets": { "title": "Websites to scan", "type": "array", "description": "Public company or product websites to qualify. No login, cookies, or private pages are used.", "items": { "type": "object", "required": [ "url" ], "properties": { "name": { "type": "string", "title": "Name", "description": "Company or website name." }, "url": { "type": "string", "title": "Website URL", "description": "Public homepage, product page, or landing page URL." }, "category": { "type": "string", "title": "Category", "description": "Optional market/category label." }, "region": { "type": "string", "title": "Region", "description": "Optional geography label." } } } }, "icpKeywords": { "title": "ICP keywords", "type": "array", "description": "Terms that increase fit score when found in public website copy.", "items": { "type": "string" } }, "buyingSignalKeywords": { "title": "Buying-signal keywords", "type": "array", "description": "Terms that suggest budget, growth, migration, or operational urgency.", "items": { "type": "string" } }, "maxTextChars": { "title": "Max text characters", "minimum": 1000, "maximum": 200000, "type": "integer", "description": "Safety cap for normalized website text stored in memory/snapshot.", "default": 50000 }, "enableDelta": { "title": "Detect changes from previous run", "type": "boolean", "description": "Compare current website tech/signals with previous named snapshot.", "default": true }, "emitRemoved": { "title": "Emit removed targets", "type": "boolean", "description": "Emit rows for websites present in the previous snapshot but missing from this input.", "default": false }, "persistSnapshot": { "title": "Persist snapshot", "type": "boolean", "description": "Save current results in the named key-value store for future delta/history runs.", "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 } } } } } } } } } } ```