# Sitemap URL Extractor (`receptional_blender/sitemap-url-extractor`) Actor Give it any website or sitemap URL and get back every page URL. It reads robots.txt and sitemap.xml, follows nested sitemap indexes, and returns each URL with its last-modified date, change frequency and priority as clean JSON. No key, login or proxy required. - **URL**: https://apify.com/receptional\_blender/sitemap-url-extractor.md - **Developed by:** [Assia Fadli](https://apify.com/receptional_blender) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 URL Extractor Give it any website or sitemap URL and get back **every page URL**. Point it at a site root (e.g. `https://example.com`) or a direct `sitemap.xml`, and it reads `robots.txt`, follows nested sitemap indexes, and returns one tidy JSON row per URL. There is nothing to configure — **no API key, no login, and no proxy**. ### Features - Accepts either a **website root** or a **direct sitemap URL**. - Reads `robots.txt` for `Sitemap:` entries, falling back to `/sitemap.xml`. - Follows **nested ``** files recursively, with a safety cap. - Emits each URL's **last-modified date, change frequency and priority**. - De-duplicates by absolute URL and respects your **max URLs** limit. - Skips gracefully over a sitemap that can't be fetched or parsed — it is recorded with an `error` field so one bad sitemap never stops the run. ### Input | Field | Type | Default | Description | | --- | --- | --- | --- | | `startUrls` | array | — | A site root (e.g. `https://example.com`) or a direct sitemap URL (e.g. `https://example.com/sitemap.xml`). | | `maxUrls` | integer | `1000` | Stop after emitting this many page URLs across all sitemaps. | | `maxSitemaps` | integer | `50` | Safety cap on how many sitemap files to fetch (including nested indexes). | #### Example input ```json { "startUrls": ["https://www.apify.com"], "maxUrls": 1000, "maxSitemaps": 50 } ```` You can also point it straight at a sitemap: ```json { "startUrls": ["https://www.sitemaps.org/sitemap.xml"] } ``` ### Output Each dataset record looks like this: ```json { "url": "https://www.example.com/blog/hello-world", "lastmod": "2024-01-31", "changefreq": "weekly", "priority": 0.8, "sourceSitemap": "https://www.example.com/sitemap.xml" } ``` | Field | Description | | --- | --- | | `url` | The page URL (``), resolved to an absolute URL. | | `lastmod` | Last-modified value as published in the sitemap (`null` if absent). | | `changefreq` | Change frequency hint, e.g. `daily`, `weekly` (`null` if absent). | | `priority` | Crawl priority as a number between 0 and 1 (`null` if absent). | | `sourceSitemap` | The sitemap file this URL was found in. | If a sitemap can't be fetched or parsed, the row is `{ "sourceSitemap": "", "error": "" }` instead, and it is never charged. ### Pricing This actor uses the **pay-per-event** model: you are charged once per URL extracted (the `url-scraped` event). A sitemap that fails to fetch or parse produces an error row and is never charged. ### How it works 1. For each start URL: if it looks like a sitemap (path ends in `.xml` or contains `sitemap`) it is used directly; otherwise the actor reads `/robots.txt` for `Sitemap:` lines, falling back to `/sitemap.xml`. 2. Each sitemap is fetched and parsed. A `` is followed into its child sitemaps (up to `maxSitemaps`); a `` emits one record per ``. 3. URLs are de-duplicated by absolute URL, and the run stops once `maxUrls` is reached. No authentication is required — `robots.txt` and sitemaps are public. ### License MIT © Assia Fadli # Actor input Schema ## `startUrls` (type: `array`): A site root (e.g. https://example.com) or a direct sitemap URL (e.g. https://example.com/sitemap.xml). ## `maxUrls` (type: `integer`): Stop after emitting this many page URLs across all sitemaps. ## `maxSitemaps` (type: `integer`): Safety cap on how many sitemap files to fetch (including nested indexes). ## Actor input object example ```json { "startUrls": [ "https://www.apify.com" ], "maxUrls": 1000, "maxSitemaps": 50 } ``` # 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 = { "maxUrls": 1000, "maxSitemaps": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("receptional_blender/sitemap-url-extractor").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 = { "maxUrls": 1000, "maxSitemaps": 50, } # Run the Actor and wait for it to finish run = client.actor("receptional_blender/sitemap-url-extractor").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 '{ "maxUrls": 1000, "maxSitemaps": 50 }' | apify call receptional_blender/sitemap-url-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=receptional_blender/sitemap-url-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sitemap URL Extractor", "description": "Give it any website or sitemap URL and get back every page URL. It reads robots.txt and sitemap.xml, follows nested sitemap indexes, and returns each URL with its last-modified date, change frequency and priority as clean JSON. No key, login or proxy required.", "version": "1.0", "x-build-id": "K7X4nU04rijaCNB0L" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/receptional_blender~sitemap-url-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-receptional_blender-sitemap-url-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/receptional_blender~sitemap-url-extractor/runs": { "post": { "operationId": "runs-sync-receptional_blender-sitemap-url-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/receptional_blender~sitemap-url-extractor/run-sync": { "post": { "operationId": "run-sync-receptional_blender-sitemap-url-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Website or sitemap URLs", "type": "array", "description": "A site root (e.g. https://example.com) or a direct sitemap URL (e.g. https://example.com/sitemap.xml).", "items": { "type": "string" } }, "maxUrls": { "title": "Max URLs", "minimum": 1, "type": "integer", "description": "Stop after emitting this many page URLs across all sitemaps.", "default": 1000 }, "maxSitemaps": { "title": "Max sitemaps", "minimum": 1, "type": "integer", "description": "Safety cap on how many sitemap files to fetch (including nested indexes).", "default": 50 } } }, "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 } } } } } } } } } } ```