# Website Contact Finder & SEO Audit (`aqua_mackerel/website-contact-seo-audit`) Actor Find emails, phones, social links, contact pages, and quick SEO issues from websites for lead research and agency prospecting. - **URL**: https://apify.com/aqua\_mackerel/website-contact-seo-audit.md - **Developed by:** [isnpAqua qafa](https://apify.com/aqua_mackerel) (community) - **Categories:** SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 website auditeds 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 Contact Finder & SEO Audit Find business contact signals and quick SEO issues from a list of websites. This Actor is built for SEO agencies, outbound sales teams, local lead researchers, and automation workflows that need a lightweight first pass before deeper prospecting. ### What this Actor does Give it a list of website URLs. For each website, it fetches the homepage, optionally checks likely contact/about/support pages, and returns one structured dataset item with: - Email addresses, phone numbers, social profile links, and likely contact pages - Title tag, meta description, H1 headings, canonical URL, language, viewport, and robots meta - robots.txt and sitemap status - A simple SEO score and issue list for fast triage - Final URL, HTTP status, fetch time, and audit metadata ### Common use cases - Build lead lists from local business websites - Find missing contact details before outbound campaigns - Screen prospects for basic SEO problems before pitching - Enrich scraped company URLs with emails, phones, and social links - Run a quick technical SEO health check without a full browser crawler ### Example input ```json { "startUrls": [ "https://example.com", "https://apify.com" ], "includeContactPages": true, "contactPagesLimit": 3, "timeoutSecs": 15 } ```` ### Example output ```json { "inputUrl": "https://example.com", "finalUrl": "https://example.com/", "domain": "example.com", "statusCode": 200, "seoScore": 78, "issues": [ "Meta description is missing", "No email address found" ], "contacts": { "emails": [], "phones": [], "socialLinks": [], "contactPages": [] }, "seo": { "title": "Example Domain", "metaDescription": "", "h1s": [ "Example Domain" ], "canonical": null }, "robots": { "found": false }, "sitemap": { "found": false } } ``` ### Input options - `startUrls`: websites to audit. Add full URLs such as `https://example.com`. - `includeContactPages`: scan likely same-domain contact/about/support pages linked from the homepage. - `contactPagesLimit`: maximum number of extra contact-like pages to fetch per website. - `timeoutSecs`: request timeout for each HTTP request. ### Pricing This Actor uses Apify Pay-per-event pricing. - Event: `website-audited` - Unit: one audited website - Current price: `$0.01` per audited website The Actor stops before pushing more paid results if the run reaches the user's charge limit. ### Notes This is a fast HTTP-based audit, not a full browser rendering crawler. It is best for bulk lead research, contact discovery, and first-pass SEO screening. Websites that hide contact details behind JavaScript, CAPTCHAs, or login walls may return fewer contact signals. # Actor input Schema ## `startUrls` (type: `array`): Websites to audit for contact details and SEO issues. Include full URLs such as https://example.com. ## `includeContactPages` (type: `boolean`): Fetch likely same-domain contact/about/support pages linked from the homepage to improve contact discovery. ## `contactPagesLimit` (type: `integer`): Maximum number of extra contact-like pages to fetch per website. ## `timeoutSecs` (type: `integer`): Timeout for each HTTP request in seconds. ## Actor input object example ```json { "startUrls": [ "https://example.com" ], "includeContactPages": true, "contactPagesLimit": 3, "timeoutSecs": 12 } ``` # Actor output Schema ## `results` (type: `string`): Dataset items with contact details, SEO fields, issue lists, robots.txt status, and sitemap status. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ "https://example.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("aqua_mackerel/website-contact-seo-audit").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "startUrls": ["https://example.com"] } # Run the Actor and wait for it to finish run = client.actor("aqua_mackerel/website-contact-seo-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 '{ "startUrls": [ "https://example.com" ] }' | apify call aqua_mackerel/website-contact-seo-audit --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aqua_mackerel/website-contact-seo-audit", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Finder & SEO Audit", "description": "Find emails, phones, social links, contact pages, and quick SEO issues from websites for lead research and agency prospecting.", "version": "0.2", "x-build-id": "VH0BfaYfg8zpQmHgI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aqua_mackerel~website-contact-seo-audit/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aqua_mackerel-website-contact-seo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aqua_mackerel~website-contact-seo-audit/runs": { "post": { "operationId": "runs-sync-aqua_mackerel-website-contact-seo-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aqua_mackerel~website-contact-seo-audit/run-sync": { "post": { "operationId": "run-sync-aqua_mackerel-website-contact-seo-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Website URLs", "minItems": 1, "maxItems": 100, "type": "array", "description": "Websites to audit for contact details and SEO issues. Include full URLs such as https://example.com.", "items": { "type": "string", "pattern": "^(https?:\\/\\/)?[^\\s]+\\.[^\\s]+$" } }, "includeContactPages": { "title": "Scan likely contact pages", "type": "boolean", "description": "Fetch likely same-domain contact/about/support pages linked from the homepage to improve contact discovery.", "default": true }, "contactPagesLimit": { "title": "Contact pages limit", "minimum": 0, "maximum": 8, "type": "integer", "description": "Maximum number of extra contact-like pages to fetch per website.", "default": 3 }, "timeoutSecs": { "title": "Request timeout", "minimum": 3, "maximum": 60, "type": "integer", "description": "Timeout for each HTTP request in seconds.", "default": 12 } } }, "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 } } } } } } } } } } ```