# SEOReport.dev AI SEO Auditor Advanced (`seoreport.dev/seoreport-dev-ai-seo-auditor-advanced`) Actor Full advanced AI/SEO report from SEOReport.dev. Complete find, priority fix plan, per-page evidence, and AI executive narrative. For professionals who need action. - **URL**: https://apify.com/seoreport.dev/seoreport-dev-ai-seo-auditor-advanced.md - **Developed by:** [SEOReport](https://apify.com/seoreport.dev) (community) - **Categories:** SEO tools, AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $12,000.00 / 1,000 advanced reports This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## SEOReport.dev – Advanced AI SEO Audit | Full Report + Priority Fixes **Full advanced report** from [SEOReport.dev](https://seoreport.dev). Everything the free preview shows — plus the complete action plan. > New to SEOReport? Try our **[free actor](https://github.com/light-merlin-dark/seoreport-ai-seo-auditor-free)** first — same engine, instant score, zero cost. ### What you get - **Instant 0–100 overall score** + 4 domain scores (SEO, AI Readiness, Performance, Security) - **Complete findings with full evidence** — every issue, every affected URL, every header value - **Priority fix plan** — ranked by impact and effort, with verification steps - **Per-page evidence clusters** — see exactly what to fix on each page - **AI executive narrative** — consultant-style summary of top issues and opportunities - **Full JSON output** pushed to Apify Dataset for automation and reporting pipelines ### What makes this different from the free actor | | Free Actor | This Advanced Actor | |---|---|---| | **Score** | ✅ | ✅ | | **Top findings (4-6)** | ✅ | ✅ | | **Full findings (all issues)** | ❌ Locked | ✅ Unlocked | | **Fix instructions** | ❌ Locked | ✅ Full detail | | **Priority ranking** | ❌ Locked | ✅ Ranked by impact | | **Per-page evidence** | ❌ Locked | ✅ Every page | | **AI executive narrative** | ❌ Locked | ✅ Included | ### Perfect for - 🏢 **Agencies** — deliver client-ready audits without manual analysis - 🔧 **Developers** — get a ranked fix list you can execute this sprint - 📊 **Consultants** — export structured data into your own reports and dashboards - 🤖 **Automation** — chain with other actors for scheduled deep monitoring ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `url` | string | ✅ | Website URL or domain to audit | ### Output The actor returns a structured JSON report with **all sections unlocked**: ```json { "jobId": "abc-123", "targetUrl": "https://example.com", "score": { "overall": 87, "domainScores": { "seo": 92, "ai": 78, "performance": 85, "security": 95 } }, "view": { "sections": [ { "key": "hero_summary", "visibility": "free", ... }, { "key": "top_findings", "visibility": "free", ... }, { "key": "fix_priorities", "visibility": "paid", "state": "ready", ... }, { "key": "full_findings", "visibility": "paid", "state": "ready", ... }, { "key": "coverage_summary", "visibility": "paid", "state": "ready", ... } ] } } ```` **Key fields:** - `score.overall` — 0-100 overall grade - `score.domainScores` — per-category breakdown - `view.sections` — all sections with `state: "ready"` (nothing locked) - `paidUnlock.unlocked` — `true` ### Pricing This actor uses **Pay per Event**. You pay per report run. **Want unlimited reports?** → Subscribe at [seoreport.dev/pricing](https://seoreport.dev/pricing) (starts at $19/mo) ### Contact - **Email:** ops@seoreport.dev - **X:** [@EnchantedRobot](https://x.com/EnchantedRobot) - **Website:** [seoreport.dev](https://seoreport.dev) # Actor input Schema ## `url` (type: `string`): The website to analyze, e.g. https://example.com or example.com ## Actor input object example ```json { "url": "https://example.com" } ``` # Actor output Schema ## `reportDataset` (type: `string`): Full JSON report as a dataset item. Ideal for automation, bulk processing, and integrations. ## `reportOutput` (type: `string`): Direct access to the report JSON stored under the 'OUTPUT' key. Ideal for single-run API access. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": "https://example.com" }; // Run the Actor and wait for it to finish const run = await client.actor("seoreport.dev/seoreport-dev-ai-seo-auditor-advanced").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "url": "https://example.com" } # Run the Actor and wait for it to finish run = client.actor("seoreport.dev/seoreport-dev-ai-seo-auditor-advanced").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 '{ "url": "https://example.com" }' | apify call seoreport.dev/seoreport-dev-ai-seo-auditor-advanced --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seoreport.dev/seoreport-dev-ai-seo-auditor-advanced", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEOReport.dev AI SEO Auditor Advanced", "description": "Full advanced AI/SEO report from SEOReport.dev. Complete find, priority fix plan, per-page evidence, and AI executive narrative. For professionals who need action.", "version": "0.0", "x-build-id": "CYQ1gqmvBLNjw7mkV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seoreport.dev~seoreport-dev-ai-seo-auditor-advanced/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seoreport.dev-seoreport-dev-ai-seo-auditor-advanced", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seoreport.dev~seoreport-dev-ai-seo-auditor-advanced/runs": { "post": { "operationId": "runs-sync-seoreport.dev-seoreport-dev-ai-seo-auditor-advanced", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seoreport.dev~seoreport-dev-ai-seo-auditor-advanced/run-sync": { "post": { "operationId": "run-sync-seoreport.dev-seoreport-dev-ai-seo-auditor-advanced", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "Target URL or Domain", "type": "string", "description": "The website to analyze, e.g. https://example.com or example.com" } } }, "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 } } } } } } } } } } ```