Sitemap & RSS New Page Monitor: Website Change Alerts

Know the moment any website publishes something new. Give it a website, sitemap or RSS/Atom feed and it returns every page URL with its date, title, image and summary. Schedule it, and you get only the NEW pages since the last run (optionally updated pages too): new blog posts, product pages, landing pages, press releases, job pages or docs.

It discovers sources automatically from Sitemap: lines in robots.txt, /sitemap.xml, sitemap indexes, gzipped sitemaps, WordPress wp-sitemap.xml, Google News and image sitemaps, and <link rel="alternate"> RSS/Atom feeds. It needs no login and no proxies, and it respects robots.txt.

Use cases

• Competitor monitoring: new product, pricing or landing pages the day they go live
• Content & SEO teams: track competitors' publishing velocity; get every new article in Slack or Sheets
• News & research: a feed of new pages from government, investor-relations or press sites
• E-commerce: new product URLs on competitor stores (works great with Shopify and WordPress sites)
• Lead generation: new location or job pages as buying signals
• AI / RAG pipelines: fresh URLs to crawl and embed, without recrawling whole sites

Features

• ✅ Websites, sitemaps (index, .gz, news, image) and RSS/Atom in one Actor
• ✅ Monitor mode (on by default): returns only new URLs, so you pay only for new pages
• ✅ First run returns the latest 20 pages so you see results right away; everything else becomes the baseline
• ✅ Optional updated-page detection via <lastmod>
• ✅ Filters: URL contains or doesn't contain, child-sitemap filter, date window
• ✅ Clean rows: url, title, published and modified dates, author, summary, categories, image

Input example

{
  "startUrls": ["https://github.blog/feed/", "https://www.allbirds.com", "https://wordpress.org/news/"],
  "onlyNew": true,
  "urlIncludes": ["/products/", "/news/", "/blog/"],
  "monitorKey": "competitors"
}

Schedule it hourly or daily in Apify (Schedules), and connect the dataset to Slack, email, Google Sheets, Zapier, Make or n8n.

Output example

{
  "site": "https://github.blog/feed/",
  "sourceType": "rss",
  "sourceUrl": "https://github.blog/feed/",
  "url": "https://github.blog/news-insights/company-news/github-universe-2026-evolving-every-layer-of-the-stack/",
  "title": "GitHub Universe 2026: Evolving every layer of the stack",
  "publishedAt": "2026-10-28T16:09:28+00:00",
  "lastModified": null,
  "author": "Jay Parikh",
  "summary": "Today, we laid out our vision for GitHub…",
  "categories": ["Company news"],
  "imageUrl": null,
  "changeType": "new",
  "previousLastModified": null,
  "scrapedAt": "2026-11-01T16:20:00+00:00"
}

Per-site results (sources used, URLs found, returned) are saved to the key-value store as SUMMARY.

Notes

• Sites with no sitemap or feed (or that block them in robots.txt) are reported in SUMMARY and skipped.
• Some platforms (e.g. Shopify) refresh <lastmod> very often, so keep updated pages off unless you need it.

How much does it cost?

$0.0008 per page result = $0.80 per 1,000 pages (+ $0.00005 per run start). You pay once for each page URL returned in the dataset. In monitor mode (default) only new pages since the last run are returned and charged (plus updated pages if you turn that on); the first run returns the latest 20 pages per site as a sample and saves the rest as a free baseline. Errors and skipped sites are free.

Examples: 1,000 new pages = $0.80. A daily run on a blog that published 3 new posts = 3 × $0.0008 = $0.0024 + $0.00005 start ≈ $0.0025. A day with no new pages costs only the start fee.

You set a maximum charge per run, so you never pay more than you allow. Apify's free plan includes monthly credit, enough to try this Actor at no cost.

FAQ

Do I need to know the sitemap URL?

No. Give a homepage; we check robots.txt, common sitemap paths, sitemap indexes, .gz files and RSS/Atom links.

What counts as 'updated'?

A URL whose lastmod date changed since the previous run (optional).

Use cases?

Competitor content tracking, new product alerts, news monitoring, SEO indexing checks, feeding new pages into an LLM pipeline.

Is it legal?

It only reads public data that the site or platform publishes openly (no login, no bypassing). You are responsible for using the data in line with applicable laws such as GDPR.

Something broke or a field is missing?

Open an issue on the Issues tab; we fix reported problems fast.

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