# Public SEO Metadata & SERP Preview Audit Agent (`jacksu/public-seo-metadata-audit-agent`) Actor Extract public SEO title, meta description, canonical, robots, Open Graph, Twitter card, H1, schema types, SERP preview, and diagnostics with useful-result pricing. - **URL**: https://apify.com/jacksu/public-seo-metadata-audit-agent.md - **Developed by:** [jack su](https://apify.com/jacksu) (community) - **Categories:** SEO tools, AI, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 useful seo audit results 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 ## Public SEO Metadata & SERP Preview Audit Agent Turn public web pages into compact SEO metadata records for AI agents, content teams, SEO audits, and page-quality checks. The Actor extracts page title, meta description, canonical URL, robots meta, language, H1s, Open Graph preview, Twitter card preview, JSON-LD schema types, SERP preview, focus-keyword matches, diagnostics, and a metadata hash for change tracking. The SERP preview is simulated from public page metadata. Search engines may rewrite titles and snippets, so the Actor reports preview evidence and risks, not guaranteed ranking or exact Google display. ### How To Use It For a first-pass audit, provide public page URLs and leave focus keywords empty: ```json { "pageUrls": ["https://apify.com"], "focusKeywords": [], "previousSeoRecords": [], "requestTimeoutSecs": 20 } ```` For targeted checks, add `focusKeywords` such as your brand, product category, campaign keyword, or important feature. If focus keywords are supplied, useful-result charging requires at least one matched keyword in the title, meta description, H1, or preview text. For repeat monitoring, pass previous dataset records from this Actor in `previousSeoRecords`. If the public SEO metadata hash is unchanged, the record is written as `changeStatus: "unchanged"` without the useful event charge. ### What It Finds Useful evidence can include: - title, title length, meta description, and description length - canonical URL, robots meta, language, H1 text, and H1 count - Open Graph and Twitter card preview fields - JSON-LD schema types - simulated SERP title/snippet evidence and preview risks - focus-keyword matches, diagnostics, SEO score, confidence, and stable hashes ### Pricing Pay-per-event pricing is designed to stay predictable: - `apify-actor-start`: a tiny run-start fee - `useful-seo-audit-result`: charged only for useful public page-level SEO metadata records - no `apify-default-dataset-item` If `focusKeywords` are supplied, useful-result charging requires at least one matched keyword. Invalid inputs, duplicate equivalent URLs, private-network targets, query/fragment/token inputs, weak pages, failed fetches, focus misses, and unchanged records do not charge the useful event. Pages with missing or poor SEO metadata can still be useful paid audit results when the public HTML was fetched and the Actor can report clear diagnostics. ### Output Each page returns one record with fields such as: - `status`, `changeStatus`, `inputUrl`, `finalUrl`, and `siteOriginUrl` - `title`, `titleLength`, `metaDescription`, `metaDescriptionLength` - `canonicalUrl`, `robotsMeta`, `language`, `h1Texts`, and `h1Count` - `openGraph`, `twitterCard`, `schemaTypes`, and `serpPreview` - `matchedFocusKeywords`, `seoMetadataHash`, `seoScore`, `confidenceScore`, `missingFields`, and `diagnostics` ### Boundaries This Actor is a page-level SEO metadata audit, not a sitemap crawler, article extractor, website facts extractor, pricing extractor, API-docs scanner, contact finder, or legal/trust evidence tool. It fetches only the provided public page URLs. It does not log in, use cookies, render JavaScript, run a full-site crawl, bypass paywalls, scrape search-engine results, or enrich private persons. ### Not For This Actor is not a rank tracker, keyword-volume tool, sitemap crawler, Lighthouse runner, search-engine scraper, or SEO recommendation engine. It extracts bounded public page metadata and preview evidence for downstream review. # Actor input Schema ## `pageUrls` (type: `array`): Public HTTP/HTTPS page URLs to audit. First run creates a page-level SEO metadata record; later runs can compare against previousSeoRecords. Query parameters, fragments, credentials, path params, and private-network addresses are rejected. ## `focusKeywords` (type: `array`): Optional brand, product, campaign, feature, or SEO terms to match in title, meta description, H1, or preview text. When supplied, useful-result charging requires at least one match. ## `previousSeoRecords` (type: `array`): Previous dataset records from this Actor for repeat monitoring. Leave empty for a first-pass audit. If the SEO metadata hash is unchanged, the result is diagnostic and does not charge the useful event. ## `requestTimeoutSecs` (type: `integer`): Maximum time in seconds to wait for each public page request. ## Actor input object example ```json { "pageUrls": [ "https://apify.com" ], "focusKeywords": [], "previousSeoRecords": [], "requestTimeoutSecs": 20 } ``` # Actor output Schema ## `datasetId` (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("jacksu/public-seo-metadata-audit-agent").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("jacksu/public-seo-metadata-audit-agent").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 jacksu/public-seo-metadata-audit-agent --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jacksu/public-seo-metadata-audit-agent", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Public SEO Metadata & SERP Preview Audit Agent", "description": "Extract public SEO title, meta description, canonical, robots, Open Graph, Twitter card, H1, schema types, SERP preview, and diagnostics with useful-result pricing.", "version": "0.1", "x-build-id": "V7tzDvv84WU3QeD5x" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jacksu~public-seo-metadata-audit-agent/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jacksu-public-seo-metadata-audit-agent", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jacksu~public-seo-metadata-audit-agent/runs": { "post": { "operationId": "runs-sync-jacksu-public-seo-metadata-audit-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jacksu~public-seo-metadata-audit-agent/run-sync": { "post": { "operationId": "run-sync-jacksu-public-seo-metadata-audit-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "pageUrls" ], "properties": { "pageUrls": { "title": "Page URLs", "minItems": 1, "maxItems": 20, "type": "array", "description": "Public HTTP/HTTPS page URLs to audit. First run creates a page-level SEO metadata record; later runs can compare against previousSeoRecords. Query parameters, fragments, credentials, path params, and private-network addresses are rejected.", "items": { "type": "string" }, "default": [ "https://apify.com" ] }, "focusKeywords": { "title": "Focus keywords", "maxItems": 20, "type": "array", "description": "Optional brand, product, campaign, feature, or SEO terms to match in title, meta description, H1, or preview text. When supplied, useful-result charging requires at least one match.", "items": { "type": "string" }, "default": [] }, "previousSeoRecords": { "title": "Previous SEO records", "type": "array", "description": "Previous dataset records from this Actor for repeat monitoring. Leave empty for a first-pass audit. If the SEO metadata hash is unchanged, the result is diagnostic and does not charge the useful event.", "items": { "type": "object" }, "default": [] }, "requestTimeoutSecs": { "title": "Request timeout", "minimum": 5, "maximum": 60, "type": "integer", "description": "Maximum time in seconds to wait for each public page request.", "default": 20 } } }, "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 } } } } } } } } } } ```