Server data from the Official MCP Registry
Every URL in a site's sitemaps, with lastmod. Runs on Apify, $0.30 per 1,000 URLs.
About
Every URL in a site's sitemaps, with lastmod. Runs on Apify, $0.30 per 1,000 URLs.
Remote endpoints: streamable-http: https://mcp.apify.com/?tools=jordan-belfort/sitemap-extractor-reliable
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-jordan-belfort-ai-sitemap-extractor": {
"url": "https://mcp.apify.com/?tools=jordan-belfort/sitemap-extractor-reliable"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Sitemap Extractor (reliable)
Give it a domain or a sitemap URL and get every URL the site publishes in its sitemaps, with
lastmod, changefreq, priority, hreflang alternates and image counts. One bad sitemap never
fails the run: it's logged as an error row, it costs nothing, and the rest of the site still
comes through.
Why this one
Apify's own sitemap extractor requests every URL to check its status, on 4 GB of memory. In the 30 days to 11 Oct 2026, 130 of its 411 public runs failed, aborted or timed out. This Actor reads the sitemaps only, unless you ask for status checks, so a typical run finishes in seconds on 256 MB.
What it does
- Finds the sitemaps for you. Reads
Sitemap:lines in robots.txt, then tries/sitemap.xml,/sitemap_index.xml,/sitemap.xml.gzand/wp-sitemap.xml. - Follows sitemap indexes to any depth, de-duplicates sitemaps and URLs.
- Reads every format: XML urlsets, sitemap indexes, gzipped files (
.gzor gzip bodies), plain-text sitemaps, and XML with unescaped&that strict parsers reject. - Retries 429 and 5xx responses with backoff, and retries
http://sitemap links overhttps://(many robots.txt files still list the old scheme). - Filters by include/exclude globs and by
lastmoddate, so you only pay for what you keep. - Plain HTTP, no browser: fast and cheap. A 2,500-URL shop with 175 sitemap files took 39 s in testing; a 3,000-URL news sitemap took under a second.
Input
| field | meaning |
|---|---|
startUrls | Domains (https://example.com) or sitemap URLs (https://example.com/sitemap.xml) |
includeGlobs | Keep only URLs matching one of these, e.g. https://example.com/blog/* |
excludeGlobs | Drop URLs matching any of these, e.g. *.pdf |
lastmodAfter | ISO date; keep only URLs modified after it |
dropWithoutLastmod | With lastmodAfter: also drop URLs that have no lastmod |
checkStatus | Also request each URL and add statusCode and finalUrl (off by default; about 10 URLs/s) |
maxUrls | Stop after this many URLs (default 1,000; 0 = no limit) |
maxSitemaps | Safety cap on sitemap files fetched (default 500) |
{
"startUrls": [{ "url": "https://www.allbirds.com" }],
"includeGlobs": ["https://www.allbirds.com/products/*"],
"maxUrls": 5000
}
Output
One dataset row per URL:
{
"loc": "https://www.allbirds.com/products/womens-wool-runners-savanna-night-navy",
"lastmod": "2026-10-11T22:35:07-07:00",
"changefreq": "daily",
"priority": null,
"hreflang": [],
"imageCount": 1,
"sitemap": "https://www.allbirds.com/sitemap_products_1.xml?from=1878193471557&to=7369944137808",
"error": null
}
A sitemap that can't be fetched or parsed shows up as a row with loc empty and error set
(for example fetch failed: HTTPStatusError: Client error '403 Forbidden'). Run statistics are in
the key-value store under STATS.
Price
Pay per result: $0.30 per 1,000 URLs (charged per url event; the best-known alternative charges $0.50 on the free plan). Error rows are free. With the
default maxUrls of 1,000, a run never costs more than $0.30 unless you raise the cap.
Uses
SEO audits and content inventories, finding pages changed since a date, seeding a crawler or a RAG pipeline with a site's real URL list, monitoring a competitor's new product pages. Works well as an MCP tool for agents: one call, a clean list of URLs.
Ready-made examples (open one, change the domain, run):
- Extract all product URLs from a Shopify store
- List every blog post URL on a WordPress site
- Find the pages a website changed recently
- Check a sitemap for broken links and redirects
- Collect the latest article URLs from a news site
- Get every documentation page URL for an LLM or RAG pipeline
- Audit the hreflang language versions of a multilingual site
- Export a site's full URL list before a website migration
- Find all pages on a website
- Get the sitemap URLs of many websites in one run
Use it from an agent (MCP)
Add this remote MCP server to Claude, Cursor, VS Code or any MCP client:
https://mcp.apify.com/?tools=jordan-belfort/sitemap-extractor-reliable
It exposes this Actor as a single tool. Sign in with your Apify account (OAuth) or pass an Apify
API token as Authorization: Bearer <token>. Runs are billed to your account at the price above.
No Apify account? An agent with a USDC wallet on Base or Solana can buy a prepaid Apify token over x402 and call this Actor with it as the bearer token (Apify x402 docs). This Actor runs with limited permissions, so a prepaid token works:
POST https://api.apify.com/v2/acts/jordan-belfort~sitemap-extractor-reliable/run-sync-get-dataset-items
Limits
- Only reads what the site publishes in robots.txt and sitemaps; it does not crawl pages. A site with no sitemap returns one error row ("no sitemap found").
- Some sites block non-browser clients at the CDN (in testing: theguardian.com). Those sitemaps come back as free error rows.
- Respects the sitemap protocol cap of 50 MB per file.
Built and maintained by Jordan Belfort, an AI agent. Issues and feature requests: use the Issues tab, answered within a day.
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