# Web Company Intelligence (MCP) (`scrap_them_all/web-company-intelligence-mcp`) Actor MCP-friendly Apify Actor returning a structured intelligence card for any company worldwide. Input: name or domain. Output: identity, web presence, tech stack fingerprint. For French-registry data (SIREN, BODACC), use fr-company-intelligence-mcp instead. - **URL**: https://apify.com/scrap\_them\_all/web-company-intelligence-mcp.md - **Developed by:** [scrap\_them\_all](https://apify.com/scrap_them_all) (community) - **Categories:** MCP servers, AI, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 company cards 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 ## Web Company Intelligence (MCP) ### What does Web Company Intelligence do? Pass a **company name**, **domain**, or **URL** and get back a single structured JSON object with the company's identity, web presence, and **tech stack fingerprint** (frameworks, CMS, hosting, CDN, analytics, payments, auth). Universal: works for any company worldwide. Designed to be **called from an MCP agent loop** (Claude, Cursor, GPT, Custom agents) where input is minimal, output is small, and runs complete in under a second on most sites. > For French registry data (SIREN, BODACC, dirigeants, finances), use the > companion Actor `fr-company-intelligence-mcp` instead. The two are > complementary: one returns official legal data, the other returns the > company's web fingerprint. ### Why use it from an AI agent? - **Sub-second runs** for most sites (HTTP fetch + regex extraction, no browser). - **Universal input** - the agent can pass `Stripe`, `stripe.com`, or `https://stripe.com/pricing` and get the same canonical card. - **Tight schema** - agents don't waste tokens parsing tables. - **Tech intel out of the box** - 50+ technologies detected (Next.js, WordPress, Shopify, Cloudflare, Stripe, HubSpot, Sentry, etc.) with category and confidence. - **Structured failure** - even on Actor.fail, the run's `OUTPUT` key carries `{ error, message, query }` so the agent can branch instead of parsing logs. ### Input | Field | Type | Default | Description | | ------------------ | ------- | ------- | -------------------------------------------------------------------- | | `query` | string | - | Required. Company name, domain (`anthropic.com`), or URL | | `includeTechStack` | boolean | `true` | Run the Wappalyzer-style fingerprint over headers + HTML | | `includeRawHtml` | boolean | `false` | Add the first 4 KB of HTML to the output (debug only) | ```json { "query": "anthropic.com" } ```` ```json { "query": "Stripe", "includeTechStack": true } ``` ### Output Single object, written to both the run's dataset (1 row) and the default key-value store under the key `OUTPUT`: ```json { "name": "Stripe", "domain": "stripe.com", "homepageUrl": "https://stripe.com/", "finalUrl": "https://stripe.com/", "statusCode": 200, "title": "Stripe | Financial Infrastructure to Grow Your Revenue", "description": "Stripe is a financial services platform...", "ogTitle": "Stripe | Financial Infrastructure to Grow Your Revenue", "ogDescription": "Stripe is a financial services platform...", "ogImage": "https://images.stripeassets.com/.../Stripe.jpg", "language": "en-us", "country": "US", "techStack": [ { "name": "Next.js", "category": "framework", "confidence": "high" }, { "name": "Nginx", "category": "webserver", "confidence": "high" } ], "techStackCount": 2, "techByCategory": { "framework": ["Next.js"], "webserver": ["Nginx"] }, "rawHtmlExcerpt": null, "sources": ["homepage", "tech-fingerprint"], "fetchElapsedMs": 47, "scrapedAt": "2026-05-08T13:33:38.280Z" } ``` ### Name resolution When `query` is a brand name (not a domain), the Actor: 1. Tries direct TLD guesses in order: `.com`, `.io`, `.ai`, `.co`, `.net`, `.org`, `.app`. This resolves the majority of well-known companies in one HTTP probe. 2. Falls back to a DuckDuckGo HTML lookup when no TLD guess responds, with a hostname-overlap check to reject unrelated results. If neither lands on a valid homepage, the Actor fails with `error: name_not_resolved` and the agent can ask the user to provide the domain directly. ### Pricing (PPE) | Mode | Price per call | | ------------------------------------- | -------------- | | Default (domain or URL input) | $0.006 | | Name resolution (brand name input) | $0.006 | | `includeRawHtml: true` | $0.006 | Pricing is per-call, billed via Apify Pay-Per-Event (`apify-actor-start` - `apify-default-dataset-item`). No BYOK required - the Actor only hits public homepages. Compare: Apollo and ZoomInfo charge $0.50-$1+ per company lookup. This Actor delivers identity + tech stack at a fraction of that price, designed for high-volume agent loops. ### Tech stack coverage 50+ technologies across these categories: - **Framework**: Next.js, Nuxt, Remix, Astro, SvelteKit, Gatsby, React, Vue, Angular, Express - **CMS / E-commerce**: WordPress, Shopify, Wix, Squarespace, Webflow, Drupal, Ghost - **Hosting / CDN**: Vercel, Netlify, Cloudflare, Fastly, AWS CloudFront, Akamai, GitHub Pages - **Web server**: Nginx, Apache, Caddy - **Languages**: PHP, ASP.NET, Express - **Analytics**: Google Analytics, GTM, Plausible, Mixpanel, Segment, Amplitude, Hotjar, PostHog - **CRM / Live chat**: HubSpot, Salesforce, Intercom, Zendesk, Drift, Crisp - **Payments**: Stripe, PayPal - **Auth**: Auth0, Clerk, Firebase Auth - **A/B testing**: Optimizely - **Monitoring**: Sentry, Datadog RUM, New Relic ### Calling from an MCP agent The Apify MCP server (`mcp.apify.com`) exposes this Actor as the tool `call-actor` with name `web-company-intelligence-mcp`. Typical prompt: *"Use call-actor with web-company-intelligence-mcp to fetch the tech stack of stripe.com."* The agent receives the JSON above and can answer in a single turn. ### Limits - Sites behind aggressive bot protection (Cloudflare Bot Management on certain plans, PerimeterX, DataDome) return 403 to the HTTP fetcher. The Actor still returns headers-only tech detection in that case. - `country` is best-effort from `og:locale` / ``. It does not reflect legal jurisdiction (use `fr-company-intelligence-mcp` for registered French entities). - Tech detection is fingerprint-based, not behavioral - it can miss technologies that load only after user interaction. ### Sources, freshness, legality - All data is fetched from the company's **own public homepage** with a standard browser User-Agent. No login, no API key. - Tech detection runs against headers + the static HTML markup. It does not execute JavaScript. - This Actor exposes only data the company makes publicly available on their own website. Respect the target site's `robots.txt` if you scale this beyond ad-hoc agent calls. # Actor input Schema ## `query` (type: `string`): Accepted forms: - Domain: 'anthropic.com' - URL: 'https://www.anthropic.com/' - Company name: 'Anthropic' (resolved via DuckDuckGo) For French-registry data (SIREN, BODACC, dirigeants), call fr-company-intelligence-mcp instead. ## `includeTechStack` (type: `boolean`): Fingerprint frameworks, hosting, analytics, CDN, and CMS from HTTP headers and HTML markers (Wappalyzer-style, lightweight). ## `includeRawHtml` (type: `boolean`): Add the first 4 KB of the homepage HTML to the output. Useful when debugging detection rules. Leave off for production agent calls. ## Actor input object example ```json { "query": "anthropic.com", "includeTechStack": true, "includeRawHtml": false } ``` # Actor output Schema ## `company` (type: `string`): No description ## `dataset` (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("scrap_them_all/web-company-intelligence-mcp").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("scrap_them_all/web-company-intelligence-mcp").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 scrap_them_all/web-company-intelligence-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrap_them_all/web-company-intelligence-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Web Company Intelligence (MCP)", "description": "MCP-friendly Apify Actor returning a structured intelligence card for any company worldwide. Input: name or domain. Output: identity, web presence, tech stack fingerprint. For French-registry data (SIREN, BODACC), use fr-company-intelligence-mcp instead.", "version": "0.1", "x-build-id": "BNIAqMdM8ujgpfm4h" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrap_them_all~web-company-intelligence-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrap_them_all-web-company-intelligence-mcp", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrap_them_all~web-company-intelligence-mcp/runs": { "post": { "operationId": "runs-sync-scrap_them_all-web-company-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrap_them_all~web-company-intelligence-mcp/run-sync": { "post": { "operationId": "run-sync-scrap_them_all-web-company-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Company name, domain, or URL", "minLength": 2, "type": "string", "description": "Accepted forms:\n- Domain: 'anthropic.com'\n- URL: 'https://www.anthropic.com/'\n- Company name: 'Anthropic' (resolved via DuckDuckGo)\n\nFor French-registry data (SIREN, BODACC, dirigeants), call fr-company-intelligence-mcp instead." }, "includeTechStack": { "title": "Detect tech stack", "type": "boolean", "description": "Fingerprint frameworks, hosting, analytics, CDN, and CMS from HTTP headers and HTML markers (Wappalyzer-style, lightweight).", "default": true }, "includeRawHtml": { "title": "Include raw HTML excerpt (debug)", "type": "boolean", "description": "Add the first 4 KB of the homepage HTML to the output. Useful when debugging detection rules. Leave off for production agent calls.", "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 } } } } } } } } } } ```