# Sitemap Finder & URL Extractor · Crawl Any XML Sitemap (`corent1robert/sitemap-detector`) Actor Find and crawl XML sitemaps from any website. Follows sitemap indexes, handles gzip, and exports every page URL with source file and lastmod into a clean dataset. No config needed. - **URL**: https://apify.com/corent1robert/sitemap-detector.md - **Developed by:** [Corentin Robert](https://apify.com/corent1robert) (community) - **Categories:** Automation, Developer tools, SEO tools - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.99 / 1,000 results 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 ## Sitemap Finder & URL Extractor · Crawl Any XML Sitemap Turn a list of websites into a **full URL inventory** from their XML sitemaps—no manual `sitemap.xml` links, no knobs to tune. The actor discovers sitemaps for you, walks **sitemap indexes**, handles **gzip**, and writes a tidy dataset: every page URL, the **source sitemap file**, and **`lastmod`** when the site publishes it. **Built for** technical SEO audits, migrations, content inventories, and any workflow where you need “all public URLs the site exposes in sitemaps.” --- ### Support & contact **Need help?** If something’s unclear, a run fails in an unexpected way, or you’d like a small customization, you can **email [Corentin Robert](mailto:corentin@outreacher.fr)** (`corentin@outreacher.fr`). --- ### What you get - **One row per URL** in the default dataset, ready to export (JSON, CSV, API). - **Automatic discovery** from each site’s origin: `robots.txt` **Sitemap:** directives plus common paths (`/sitemap.xml`, WordPress-style paths, etc.). - **Nested sitemap indexes** followed for you (up to **10** levels deep—fixed in code). - **Live progress** in **`RUN_LOG`**, plus a **per-site summary** at the end (URL count and sitemap fetch count per input origin). --- ### How it works (short) 1. You add **one start URL per site** (any page on that domain—the actor only uses the **origin**). 2. It resolves **entry sitemap URLs**, then fetches each file (HTTP **200** only). 3. It understands both **`urlset`** (URLs inline) and **`sitemapindex`** (pointers to more sitemaps), then flattens everything into page URLs. Many sites use a **single** `urlset`; larger sites often ship a root **`sitemapindex`** that fans out to multiple **`urlset`** files—both patterns are supported. --- ### Quick start 1. In the Apify console, open **Site URLs** and paste **one URL per site** (bulk paste or file import works). 2. Start the run. That’s it—timeouts, pacing, and headers are **fixed defaults** (see below). --- ### Input | Field | What to enter | |--------|----------------| | **startUrls** | One URL per website (homepage, blog article, anything on that domain). Same domain twice → one logical “site” in the summary. | --- ### Output (dataset) | Field | Meaning | |--------|---------| | `url` | Page URL from `` | | `sourceSitemapUrl` | The **`urlset`** file this row came from | | `lastmod` | From the sitemap if present, otherwise `null` | | `discoveredFrom` | `robots` (from robots.txt), `candidate` (default paths), or `nested` (via an index) | | `fetchedAt` | ISO timestamp when the row was written | --- ### Run log During the run, **`RUN_LOG`** in the key-value store stays compact—for example: `12,400 urls · 15 sitemaps` Failed fetches appear as **`ERR:`** lines (timeout, non-200, or body that isn’t XML)—without dumping raw responses. When the run finishes, you’ll see **`Per input site (origin):`** with a line per **distinct origin** (URLs collected + sitemaps fetched). The same breakdown is emitted to Apify’s **Log** tab via `log.info`. --- ### Built-in defaults (not shown in the UI) | Topic | Value | |--------|--------| | HTTP timeout | 60 s per request | | Pause between sitemap requests | 100 ms | | Extra sitemap paths | None beyond the built-in discovery list | | `robots.txt` | Read during discovery | | User-Agent | `SitemapDetector/1.0 (+https://apify.com)` | --- ### Limits & good citizenship - **Index depth** is capped at **10** nested `sitemapindex` levels (by design). - Endpoints that return **non-XML** (e.g. JSON “sitemap APIs”) are skipped—you’ll see `not XML` in the log. - Very large sitemaps mean **longer runs** and **higher memory** use on Apify; that’s expected. - Use this on sites you’re allowed to query; it only requests **public** sitemap URLs. --- ### Example input **One site** ```json { "startUrls": [{ "url": "https://example.com/" }] } ```` **Several sites in one run** ```json { "startUrls": [ { "url": "https://apify.com/" }, { "url": "https://vercel.com/docs" } ] } ``` *** ### Testing & deploy **Smoke tests** (parser + live fetches, no full Actor container): ```bash npm run test:smoke ``` Uses **Apify**, **Doctolib**, and **Vercel** sitemaps as fixtures (the script hits `sitemap.xml` URLs directly; the Actor itself only needs **start URLs**). **Run the Actor locally** ```bash apify run --input-file tests/manual-runs/smoke-apify-actor.json ``` More samples: [`tests/manual-runs/`](tests/manual-runs/). **Publish** — bump [`actor.json`](.actor/actor.json) **`version`** to **`MAJOR.MINOR`** (e.g. `1.7`), not npm-style `1.0.13`, then: ```bash apify push ``` # Actor input Schema ## `startUrls` (type: `array`): One URL per site (homepage or any page — only the **domain** is used to discover sitemaps). Bulk paste or file import. ## Actor input object example ```json { "startUrls": [ { "url": "https://apify.com/" } ] } ``` # Actor output Schema ## `dataset` (type: `string`): One row per URL with source sitemap and metadata ## `urlsView` (type: `string`): Compact columns: url, sourceSitemapUrl, lastmod, discoveredFrom ## `runLog` (type: `string`): Live progress: url count · sitemap count # 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://apify.com/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("corent1robert/sitemap-detector").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://apify.com/" }] } # Run the Actor and wait for it to finish run = client.actor("corent1robert/sitemap-detector").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://apify.com/" } ] }' | apify call corent1robert/sitemap-detector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=corent1robert/sitemap-detector", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sitemap Finder & URL Extractor · Crawl Any XML Sitemap", "description": "Find and crawl XML sitemaps from any website. Follows sitemap \nindexes, handles gzip, and exports every page URL with source \nfile and lastmod into a clean dataset. No config needed.", "version": "1.6", "x-build-id": "SVdLUds0iesAOqpFd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/corent1robert~sitemap-detector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-corent1robert-sitemap-detector", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/corent1robert~sitemap-detector/runs": { "post": { "operationId": "runs-sync-corent1robert-sitemap-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/corent1robert~sitemap-detector/run-sync": { "post": { "operationId": "run-sync-corent1robert-sitemap-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Site URLs", "type": "array", "description": "One URL per site (homepage or any page — only the **domain** is used to discover sitemaps). Bulk paste or file import.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```