# Sitemap URL Extractor — robots.txt + sitemap.xml Crawl (`v0iddo/sitemap-url-extractor`) Actor Discover every URL a site exposes via its public sitemap chain. Reads robots.txt, follows Sitemap declarations, recursively descends sitemap-index files, extracts URLs with lastmod, changefreq, priority. - **URL**: https://apify.com/v0iddo/sitemap-url-extractor.md - **Developed by:** [vøiddo](https://apify.com/v0iddo) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 URL Extractor — robots.txt + sitemap.xml Crawl Extract every URL a site exposes via its public sitemap chain. Reads `robots.txt` for `Sitemap:` declarations, falls back to `/sitemap.xml`, recursively descends sitemap-index files, and returns one row per discovered URL with `lastmod`, `changefreq`, and `priority`. ### Example output row ```json { "domain": "vercel.com", "url": "https://vercel.com/blog/nextjs-14", "lastmod": "2024-03-15", "changefreq": "weekly", "priority": 0.8, "source": "https://vercel.com/sitemap-blog.xml" } ```` ### How to use **Input** | Field | Type | Default | Description | |---|---|---|---| | `domains` | `string[]` | `["stripe.com","shopify.com","vercel.com"]` | Domains to crawl — no scheme, no trailing slash | | `maxUrlsPerDomain` | `integer` | `2000` | Hard cap on URLs returned per domain | | `followSitemapIndex` | `boolean` | `true` | Recursively follow `` child links (up to depth 5) | **Minimal run** ```json { "domains": ["example.com"], "maxUrlsPerDomain": 500, "followSitemapIndex": true } ``` **Output fields** | Field | Type | Notes | |---|---|---| | `domain` | string | Input domain | | `url` | string | Discovered URL from `` | | `lastmod` | string | ISO date, `null` if absent | | `changefreq` | string | e.g. `weekly`, `null` if absent | | `priority` | float | 0.0–1.0, `null` if absent | | `source` | string | Sitemap file the URL was found in | ### Pricing | Event | Cost | When charged | |---|---|---| | `url_extracted` | **$0.0001 per URL** | Once per run, total = URLs pushed | A 2 000-URL run costs **$0.20**. Unused budget is not charged — if a domain has only 300 URLs you pay for 300. ### Buyer - SEO teams auditing crawl coverage — verify every page is in the sitemap. - Content operations checking `lastmod` staleness across thousands of URLs. - Competitive intelligence — map a competitor's full URL structure. - QA pipelines validating sitemap health after deploys. - Link-building researchers finding indexable pages at scale. ### Source Crawl order per domain: 1. `GET https://{domain}/robots.txt` — parse all `Sitemap:` lines. 2. If none found, fall back to `GET https://{domain}/sitemap.xml`. 3. For each sitemap URL: fetch + parse XML. 4. If ``, enqueue each `` (up to depth 5). 5. If ``, emit one row per `` until `maxUrlsPerDomain` is reached. All requests use a polite `User-Agent` and are paced at 250–600 ms between calls. `404` and empty responses are skipped gracefully. # Actor input Schema ## `domains` (type: `array`): Domains to crawl (no scheme) ## `maxUrlsPerDomain` (type: `integer`): Cap URLs returned per domain ## `followSitemapIndex` (type: `boolean`): Recursively descend sitemap-index → child sitemaps ## Actor input object example ```json { "domains": [ "stripe.com", "shopify.com", "vercel.com" ], "maxUrlsPerDomain": 2000, "followSitemapIndex": true } ``` # 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 = { "domains": [ "stripe.com", "shopify.com", "vercel.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("v0iddo/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 = { "domains": [ "stripe.com", "shopify.com", "vercel.com", ] } # Run the Actor and wait for it to finish run = client.actor("v0iddo/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 '{ "domains": [ "stripe.com", "shopify.com", "vercel.com" ] }' | apify call v0iddo/sitemap-url-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=v0iddo/sitemap-url-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sitemap URL Extractor — robots.txt + sitemap.xml Crawl", "description": "Discover every URL a site exposes via its public sitemap chain. Reads robots.txt, follows Sitemap declarations, recursively descends sitemap-index files, extracts URLs with lastmod, changefreq, priority.", "version": "0.1", "x-build-id": "Zr1p1aCkWKnAfNf9o" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/v0iddo~sitemap-url-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-v0iddo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/v0iddo~sitemap-url-extractor/runs": { "post": { "operationId": "runs-sync-v0iddo-sitemap-url-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/v0iddo~sitemap-url-extractor/run-sync": { "post": { "operationId": "run-sync-v0iddo-sitemap-url-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "domains": { "title": "domains", "type": "array", "description": "Domains to crawl (no scheme)", "default": [], "items": { "type": "string" } }, "maxUrlsPerDomain": { "title": "maxUrlsPerDomain", "type": "integer", "description": "Cap URLs returned per domain", "default": 2000 }, "followSitemapIndex": { "title": "followSitemapIndex", "type": "boolean", "description": "Recursively descend sitemap-index → child sitemaps", "default": true } } }, "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 } } } } } } } } } } ```