# Sitemap Intelligence API (`bipbip-apis/sitemap-intelligence-api`) Actor Analyze sitemap.xml files for URL counts, latest pages, content types, recency, sitemap index issues, and crawl-planning hints. - **URL**: https://apify.com/bipbip-apis/sitemap-intelligence-api.md - **Developed by:** [Daniel Christensen](https://apify.com/bipbip-apis) (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 $4.00 / 1,000 processed 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 ## Sitemap Intelligence API Analyze sitemap.xml files for URL counts, latest pages, content types, recency, sitemap index issues, and crawl-planning hints. ### Why use this Actor? This API is built for fast, low-cost business intelligence on public web data. It uses raw HTTP by default, avoids browser/proxy costs, and returns productized fields like `score`, `grade`, `summary`, `signals`, `issues`, and `recommendations`. ### Best for - SEO agencies building prospect lists - B2B lead generation teams - Content and ecommerce researchers - AI/RAG and automation workflows needing clean structured data ### Input Provide up to 10 public URLs/domains or the listed niche inputs. Runs are intentionally bounded for predictable cost. ```json { "startUrls": [ { "url": "https://docs.apify.com/sitemap.xml" } ] } ```` ### Output Each result includes the processed URL, HTTP status, score, grade, concise summary, niche-specific extracted fields, and practical recommendations. ### Pricing Pay per successful result. Designed to be lightweight and inexpensive to run. ### Responsible use Process only public pages you are allowed to analyze. This Actor does not bypass logins, CAPTCHAs, paywalls, or access controls. # Actor input Schema ## `startUrls` (type: `array`): Public URLs/domains to process. Free-tier guardrail: maximum 10 items per run. ## `subreddits` (type: `array`): Optional public subreddit names for Reddit trend briefs. Maximum 5. ## `keywords` (type: `array`): Optional keywords to match, filter, or score. Maximum 10. ## `maxItems` (type: `integer`): Maximum records to process or return. Free-tier guardrail cap: 10. ## `maxConcurrency` (type: `integer`): Parallel requests where supported. Free-tier guardrail cap: 2. ## `timeoutSecs` (type: `integer`): HTTP request timeout in seconds. Free-tier guardrail cap: 20. ## Actor input object example ```json { "startUrls": [ { "url": "https://docs.apify.com/sitemap.xml" } ], "subreddits": [ "SideProject" ], "keywords": [ "automation", "api" ], "maxItems": 5, "maxConcurrency": 2, "timeoutSecs": 20 } ``` # Actor output Schema ## `results` (type: `string`): Default dataset items for this API run. # 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": [ { "url": "https://docs.apify.com/sitemap.xml" } ], "subreddits": [ "SideProject" ], "keywords": [ "automation", "api" ] }; // Run the Actor and wait for it to finish const run = await client.actor("bipbip-apis/sitemap-intelligence-api").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": [{ "url": "https://docs.apify.com/sitemap.xml" }], "subreddits": ["SideProject"], "keywords": [ "automation", "api", ], } # Run the Actor and wait for it to finish run = client.actor("bipbip-apis/sitemap-intelligence-api").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": [ { "url": "https://docs.apify.com/sitemap.xml" } ], "subreddits": [ "SideProject" ], "keywords": [ "automation", "api" ] }' | apify call bipbip-apis/sitemap-intelligence-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bipbip-apis/sitemap-intelligence-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sitemap Intelligence API", "description": "Analyze sitemap.xml files for URL counts, latest pages, content types, recency, sitemap index issues, and crawl-planning hints.", "version": "0.1", "x-build-id": "oCZwAN314fEf5LHO2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bipbip-apis~sitemap-intelligence-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bipbip-apis-sitemap-intelligence-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bipbip-apis~sitemap-intelligence-api/runs": { "post": { "operationId": "runs-sync-bipbip-apis-sitemap-intelligence-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bipbip-apis~sitemap-intelligence-api/run-sync": { "post": { "operationId": "run-sync-bipbip-apis-sitemap-intelligence-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Start URLs", "maxItems": 10, "type": "array", "description": "Public URLs/domains to process. Free-tier guardrail: maximum 10 items per run.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "subreddits": { "title": "Subreddits", "maxItems": 5, "type": "array", "description": "Optional public subreddit names for Reddit trend briefs. Maximum 5.", "items": { "type": "string" } }, "keywords": { "title": "Keywords", "maxItems": 10, "type": "array", "description": "Optional keywords to match, filter, or score. Maximum 10.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum records to process or return. Free-tier guardrail cap: 10.", "default": 5 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 2, "type": "integer", "description": "Parallel requests where supported. Free-tier guardrail cap: 2.", "default": 2 }, "timeoutSecs": { "title": "Timeout seconds", "minimum": 5, "maximum": 20, "type": "integer", "description": "HTTP request timeout in seconds. Free-tier guardrail cap: 20.", "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 } } } } } } } } } } ```