# Domain Intelligence Website Audit (`techionik9993/domain-intelligence-website-audit`) Actor Run Domain Intelligence Website Audit to collect structured public web data with source URLs, clean dataset rows, and guarded execution controls. - **URL**: https://apify.com/techionik9993/domain-intelligence-website-audit.md - **Developed by:** [Techionik](https://apify.com/techionik9993) (community) - **Categories:** SEO tools, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 domain intelligence rows This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Domain Intelligence Website Audit Fast request-based website intelligence for lead generation, agency audits, sales research, enrichment workflows, and monitoring. This Actor audits company domains without launching a browser. It fetches the public website, optional contact page, and DNS records, then returns a clean row with contact signals, technology stack, email health, lead score, and a practical sales angle. ![Domain Intelligence Website Audit hero](./assets/hero.svg) ### What You Get - Final website URL and HTTP status - HTTPS/reachability status - Page title, H1, meta description, canonical URL, and language - Public emails and phone numbers from the homepage and contact page - Social profile links such as LinkedIn, Facebook, Instagram, X, YouTube, GitHub, and TikTok - Technology signals such as Shopify, WooCommerce, WordPress, Webflow, HubSpot, Klaviyo, Google Analytics, Meta Pixel, Stripe, Cloudflare, React, and Next.js - MX, SPF, DMARC, and name server signals - Lead score from 0-100 and lead grade from A-F - Improvement reasons and a short sales angle - Optional monitoring changes between runs ### Why This Actor Is Profit-Safe - It uses HTTP requests and DNS lookups only. - It does not run a browser. - It does not use proxies. - It has request-level and whole-run timeouts. - One domain normally creates one paid dataset row. - Invalid inputs, failed domains, and internal notices are saved to the key-value store instead of being written as paid error rows. - Monitoring snapshots are stored outside the paid dataset. ### Quick Start 1. Add domains such as `stripe.com`, `shopify.com`, or `companycam.com`. 2. Keep **Scan contact page** enabled to find more public emails and phone numbers. 3. Keep **Include DNS email health** enabled for MX, SPF, and DMARC signals. 4. Set **Max domains** to your desired output cap. 5. Run the Actor and download the dataset as JSON, CSV, Excel, or via API. ### Result Limits And Billing Apify pay-per-event result billing is based on rows written to the default dataset. - One audited domain normally writes one domain intelligence row. - **Max domains** is a hard cap. - The Actor never writes more domain rows than the selected cap. - Failed fetches are recorded in `latest-notices` in the named key-value store. - Monitoring state is saved in the named key-value store and does not create paid dataset rows by itself. - When **Output only the changes** is enabled, the dataset contains only changed domain rows. Example: if you submit 500 domains and set **Max domains** to 100, the Actor writes at most 100 paid dataset rows. ### Monitoring Logic When monitoring is enabled, the Actor: 1. Audits each domain. 2. Stores a compact snapshot per domain in the named key-value store. 3. Compares the latest snapshot with the previous snapshot. 4. Saves detected changes to `latest-changes`. 5. Outputs either normal audit rows or change rows depending on **Output only the changes**. Tracked changes include: - HTTP status - Title and meta description - Public emails and phones - Social links - Technology signals - Lead score and grade ### Output Fields Common fields include: - `domain` - `finalUrl` - `statusCode` - `isReachable` - `isHttps` - `title` - `metaDescription` - `h1` - `publicEmails` - `phones` - `contactPageUrl` - `socialLinks` - `technologies` - `hasMx` - `mxHosts` - `spfRecord` - `dmarcRecord` - `nameServers` - `leadScore` - `leadGrade` - `improvementReasons` - `salesAngle` - `scrapedAt` ### Pricing This Actor uses pay-per-event pricing. - Actor start: `$0.003` - Domain intelligence row: - Free tier: `$3.00 per 1,000 rows` - Bronze: `$2.50 per 1,000 rows` - Silver: `$2.00 per 1,000 rows` - Gold, Platinum, and Diamond: `$1.50 per 1,000 rows` The platform usage cost is low because the Actor is request-based, uses 256 MB by default, and does not launch a browser or proxy. In cloud tests, a 5-domain run cost about `$0.00015` in platform usage, while each successful domain writes one paid domain intelligence row. Failed domains are stored as key-value store notices instead of paid dataset rows. This keeps billing fair for users and protects the Actor from low-quality paid output. ### Notes - The Actor reads public website and DNS information only. - Email discovery is limited to public emails found on the audited pages. - Some websites block requests or hide contact details behind JavaScript; those cases are logged as notices. - Technology detection is best-effort and based on visible HTML, scripts, and response headers. # Actor input Schema ## `domains` (type: `array`): Company domains to audit. Examples: stripe.com, shopify.com, example-store.com. ## `urls` (type: `array`): Optional full website URLs. Use this when you want to audit a specific hostname or landing page domain. ## `maxResults` (type: `integer`): Maximum domain intelligence rows to write. One domain normally produces one paid dataset row. ## `includeContactPage` (type: `boolean`): Fetch the first detected contact/about/support page to find additional emails and phone numbers. ## `includeDns` (type: `boolean`): Check MX, SPF, DMARC, and name server signals. This is request-based and does not use a browser. ## `includeTechnologySignals` (type: `boolean`): Detect common website, ecommerce, analytics, support, and marketing tools from HTML, scripts, and headers. ## `includeSalesAngle` (type: `boolean`): Generate a short pitch angle from detected gaps such as missing analytics, email deliverability, contact capture, or ecommerce retention tools. ## `monitorChanges` (type: `boolean`): Save a snapshot per domain in a named key-value store and compare future runs for changed health, contacts, technology, or score. ## `onlyChanges` (type: `boolean`): When monitoring is enabled, output only changed domain rows instead of all audit rows. ## `requestTimeoutSeconds` (type: `integer`): Timeout per HTTP request. Lower values reduce runtime cost; higher values help slow websites. ## `maxRunSeconds` (type: `integer`): Cost protection timeout for the whole run. The Actor stops before another domain if the budget is nearly exhausted. ## Actor input object example ```json { "domains": [ "stripe.com", "shopify.com" ], "urls": [ "https://www.companycam.com/" ], "maxResults": 100, "includeContactPage": true, "includeDns": true, "includeTechnologySignals": true, "includeSalesAngle": true, "monitorChanges": false, "onlyChanges": false, "requestTimeoutSeconds": 15, "maxRunSeconds": 300 } ```` # Actor output Schema ## `results` (type: `string`): Normal runs contain one domain intelligence row per audited domain. When Output only the changes is enabled, rows contain change events. # 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": [ "stripe.com", "shopify.com", "companycam.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("techionik9993/domain-intelligence-website-audit").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": [ "stripe.com", "shopify.com", "companycam.com", ] } # Run the Actor and wait for it to finish run = client.actor("techionik9993/domain-intelligence-website-audit").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": [ "stripe.com", "shopify.com", "companycam.com" ] }' | apify call techionik9993/domain-intelligence-website-audit --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=techionik9993/domain-intelligence-website-audit", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Domain Intelligence Website Audit", "description": "Run Domain Intelligence Website Audit to collect structured public web data with source URLs, clean dataset rows, and guarded execution controls.", "version": "0.0", "x-build-id": "7yOsDtDZbHKqrIgVm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/techionik9993~domain-intelligence-website-audit/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-techionik9993-domain-intelligence-website-audit", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/techionik9993~domain-intelligence-website-audit/runs": { "post": { "operationId": "runs-sync-techionik9993-domain-intelligence-website-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/techionik9993~domain-intelligence-website-audit/run-sync": { "post": { "operationId": "run-sync-techionik9993-domain-intelligence-website-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "domains": { "title": "Domains", "type": "array", "description": "Company domains to audit. Examples: stripe.com, shopify.com, example-store.com.", "default": [], "items": { "type": "string" } }, "urls": { "title": "URLs", "type": "array", "description": "Optional full website URLs. Use this when you want to audit a specific hostname or landing page domain.", "default": [], "items": { "type": "string" } }, "maxResults": { "title": "Max domains", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum domain intelligence rows to write. One domain normally produces one paid dataset row.", "default": 100 }, "includeContactPage": { "title": "Scan contact page", "type": "boolean", "description": "Fetch the first detected contact/about/support page to find additional emails and phone numbers.", "default": true }, "includeDns": { "title": "Include DNS email health", "type": "boolean", "description": "Check MX, SPF, DMARC, and name server signals. This is request-based and does not use a browser.", "default": true }, "includeTechnologySignals": { "title": "Detect technology stack", "type": "boolean", "description": "Detect common website, ecommerce, analytics, support, and marketing tools from HTML, scripts, and headers.", "default": true }, "includeSalesAngle": { "title": "Include sales angle", "type": "boolean", "description": "Generate a short pitch angle from detected gaps such as missing analytics, email deliverability, contact capture, or ecommerce retention tools.", "default": true }, "monitorChanges": { "title": "Monitor changes since last run", "type": "boolean", "description": "Save a snapshot per domain in a named key-value store and compare future runs for changed health, contacts, technology, or score.", "default": false }, "onlyChanges": { "title": "Output only the changes", "type": "boolean", "description": "When monitoring is enabled, output only changed domain rows instead of all audit rows.", "default": false }, "requestTimeoutSeconds": { "title": "Request timeout", "minimum": 5, "maximum": 30, "type": "integer", "description": "Timeout per HTTP request. Lower values reduce runtime cost; higher values help slow websites.", "default": 15 }, "maxRunSeconds": { "title": "Max run seconds", "minimum": 60, "maximum": 900, "type": "integer", "description": "Cost protection timeout for the whole run. The Actor stops before another domain if the budget is nearly exhausted.", "default": 300 } } }, "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 } } } } } } } } } } ```