6 Free SEO Tools to Audit Sites Faster: Sitemap, RSS, and HTML Meta Tag Converters

TL;DR: We just shipped six new converters built specifically for SEOs, content strategists, and growth marketers — turn sitemap.xml and rss.xml into spreadsheets, and pull every meta tag, Open Graph attribute, and JSON-LD block out of any HTML page in one click. Free. No signup. Available right now on Conversion Tools.

If you've ever copied 5,000 URLs from a sitemap into Excel by hand, you know the pain. We built the toolkit we wished we had.

Jump to the tools:

• Sitemap to CSV · Sitemap to Excel
• RSS to CSV · RSS to Excel
• HTML to JSON · HTML Meta to JSON

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Who this is for

These tools are built for the people who actually live in the trenches of search:

• SEO specialists running content audits, hreflang checks, and competitor recon
• Content marketers building editorial calendars from RSS feeds
• Technical SEOs validating Open Graph, Twitter Cards, and JSON-LD schema markup
• Growth marketers mining sitemaps for backlink prospecting
• Webmasters doing pre-migration content inventories
• Data analysts who want structured data from messy HTML without writing a scraper

If any of that sounds like your week, keep reading.

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1. Sitemap to CSV / Sitemap to Excel — instant content inventory

The problem: You want to audit a site with 12,000 pages. The sitemap is right there at /sitemap.xml, but it's a wall of XML. Your audit spreadsheet needs URLs, last-modified dates, and priorities — in rows.

The fix: Drop the sitemap in. Get a clean spreadsheet out.

What goes in

<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
  <url>
    <loc>https://example.com/</loc>
    <lastmod>2026-04-30</lastmod>
    <changefreq>daily</changefreq>
    <priority>1.0</priority>
  </url>
  <url>
    <loc>https://example.com/blog/seo-checklist</loc>
    <lastmod>2026-03-15</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.8</priority>
  </url>
  <url>
    <loc>https://example.com/pricing</loc>
    <lastmod>2026-04-01</lastmod>
    <priority>0.9</priority>
  </url>
</urlset>

What comes out (CSV)

loc,lastmod,changefreq,priority
https://example.com/,2026-04-30,daily,1.0
https://example.com/blog/seo-checklist,2026-03-15,monthly,0.8
https://example.com/pricing,2026-04-01,,0.9

Same data — but now it opens in Excel, Google Sheets, Numbers, or any database import tool.

Bonus features that just work

• Gzipped sitemaps (sitemap.xml.gz) — drop them in as-is, no manual unzip
• Sitemap index files (<sitemapindex>) — get the list of child sitemaps as a separate spreadsheet
• Sitemaps up to 50,000 URLs — Google's spec, fully supported
• Choose .xlsx or .xls in the Excel variant

Real-world workflows

• Content audit: filter lastmod for pages older than 12 months → identify refresh candidates
• Competitor recon: pull a competitor's sitemap → cluster URLs by path → find their content silos
• Pre-migration inventory: export every URL → cross-reference with redirects → catch orphans
• Crawl budget analysis: sort by priority and changefreq → spot pages Google probably ignores

Try it: Sitemap to CSV · Sitemap to Excel

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2. RSS to CSV / RSS to Excel — turn any feed into a content database

The problem: A competitor publishes 3 articles a week. You want to track their headlines, dates, and topics in a spreadsheet for your content team. You also want to mine their archive for outreach prospects.

The fix: Paste the feed URL. Done.

What goes in (RSS 2.0)

<?xml version="1.0"?>
<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>Example Blog</title>
    <item>
      <title>10 Underrated SEO Tactics for 2026</title>
      <link>https://example.com/blog/underrated-seo-2026</link>
      <pubDate>Mon, 04 May 2026 10:00:00 GMT</pubDate>
      <dc:creator>Jane Smith</dc:creator>
      <category>SEO</category>
      <category>Strategy</category>
      <guid>https://example.com/blog/underrated-seo-2026</guid>
      <description>A look at the SEO levers most teams skip in 2026.</description>
    </item>
    <item>
      <title>Schema Markup: A Practical Guide</title>
      <link>https://example.com/blog/schema-guide</link>
      <pubDate>Thu, 30 Apr 2026 09:00:00 GMT</pubDate>
      <dc:creator>Mike Wong</dc:creator>
      <category>Technical SEO</category>
      <description>How to add JSON-LD without breaking anything.</description>
    </item>
  </channel>
</rss>

What comes out (CSV)

title,link,pubDate,author,categories,guid,description
"10 Underrated SEO Tactics for 2026",https://example.com/blog/underrated-seo-2026,"Mon, 04 May 2026 10:00:00 GMT",Jane Smith,SEO; Strategy,https://example.com/blog/underrated-seo-2026,A look at the SEO levers most teams skip in 2026.
"Schema Markup: A Practical Guide",https://example.com/blog/schema-guide,"Thu, 30 Apr 2026 09:00:00 GMT",Mike Wong,Technical SEO,,How to add JSON-LD without breaking anything.

What works out of the box

• Atom feeds auto-detected (no separate tool needed — same converter handles both)
• dc:creator namespace handled (used by WordPress and most CMS platforms)
• Multiple categories per item joined with ; so they fit in one cell
• Unicode and emoji titles preserved correctly

Real-world workflows

• Competitive content tracking: subscribe to 50 competitor RSS feeds → batch convert → unified content calendar
• Backlink prospecting: extract all author names from a niche feed archive → contact list
• Newsletter curation: pull RSS → CSV → filter by keywords → handpicked digest
• Topic clustering: aggregate years of feed history → categorize → identify content gaps in your own coverage

Try it: RSS to CSV · RSS to Excel

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3. HTML to JSON — every page, fully structured

The problem: You're migrating content from a legacy CMS to Webflow / Sanity / Contentful. You need every page broken into headings, paragraphs, links, images, tables, and lists — in JSON. Writing a custom scraper for each page template is a week of work.

The fix: Upload the HTML. Get a clean JSON document tree.

What goes in

<!DOCTYPE html>
<html lang="en">
<head>
  <title>Schema Markup Guide</title>
  <meta name="description" content="Complete schema guide"/>
  <link rel="canonical" href="https://example.com/blog/schema-guide"/>
</head>
<body>
  <article>
    <h1>The Schema Markup Guide</h1>
    <p>Schema is what makes <a href="https://google.com">rich results</a> possible.</p>
    <h2>Why it matters</h2>
    <p>Pages with valid schema get up to 30% more clicks.</p>
    <img src="/hero.jpg" alt="Schema diagram" width="800"/>
    <table>
      <thead><tr><th>Type</th><th>Use Case</th></tr></thead>
      <tbody>
        <tr><td>Article</td><td>Blog posts</td></tr>
        <tr><td>FAQ</td><td>Help pages</td></tr>
      </tbody>
    </table>
  </article>
</body>
</html>

What comes out (JSON)

{
  "title": "Schema Markup Guide",
  "language": "en",
  "description": "Complete schema guide",
  "canonical": "https://example.com/blog/schema-guide",
  "headings": [
    { "level": 1, "text": "The Schema Markup Guide" },
    { "level": 2, "text": "Why it matters" }
  ],
  "paragraphs": [
    "Schema is what makes rich results possible.",
    "Pages with valid schema get up to 30% more clicks."
  ],
  "links": [
    { "text": "rich results", "href": "https://google.com" }
  ],
  "images": [
    { "src": "/hero.jpg", "alt": "Schema diagram", "width": "800" }
  ],
  "tables": [
    {
      "headers": ["Type", "Use Case"],
      "rows": [
        ["Article", "Blog posts"],
        ["FAQ", "Help pages"]
      ]
    }
  ],
  "lists": []
}

Real-world workflows

• CMS migration: HTML → JSON → map to new content model → bulk import via API
• AI training data prep: clean structured docs feed LLM fine-tuning pipelines
• Headline-only audits: extract just the headings array → check H1/H2 hierarchy across hundreds of pages
• Internal linking analysis: pull links from every page → build the link graph → find orphans

Try it: HTML to JSON

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4. HTML Meta to JSON — instant SEO meta-tag audit

The problem: You're auditing 200 landing pages. You need to know which are missing <meta description>, which have wrong og:image dimensions, which forgot canonical, and which have broken JSON-LD. Manually opening 200 "View Source" tabs is a non-starter.

The fix: Drop the HTML. Get every meta signal in one neat JSON object.

What goes in

<!DOCTYPE html>
<html lang="en">
<head>
  <title>Best Running Shoes 2026 — Example Store</title>
  <meta name="description" content="Top 10 running shoes for every budget"/>
  <meta name="robots" content="index,follow"/>
  <link rel="canonical" href="https://example.com/best-running-shoes"/>
  <link rel="alternate" hreflang="es" href="https://example.com/es/best-running-shoes"/>
  <link rel="alternate" hreflang="de" href="https://example.com/de/best-running-shoes"/>

  <meta property="og:title" content="Best Running Shoes 2026"/>
  <meta property="og:image" content="https://example.com/og/shoes.png"/>
  <meta property="og:type" content="article"/>

  <meta name="twitter:card" content="summary_large_image"/>
  <meta name="twitter:site" content="@examplestore"/>

  <script type="application/ld+json">
    {"@context":"https://schema.org","@type":"Product","name":"Running Shoe X","offers":{"@type":"Offer","price":"129","priceCurrency":"USD"}}
  </script>
</head>
<body>...</body>
</html>

What comes out (JSON)

{
  "title": "Best Running Shoes 2026 — Example Store",
  "description": "Top 10 running shoes for every budget",
  "robots": "index,follow",
  "canonical": "https://example.com/best-running-shoes",
  "language": "en",
  "openGraph": {
    "title": "Best Running Shoes 2026",
    "image": "https://example.com/og/shoes.png",
    "type": "article"
  },
  "twitter": {
    "card": "summary_large_image",
    "site": "@examplestore"
  },
  "alternates": [
    { "href": "https://example.com/es/best-running-shoes", "hreflang": "es" },
    { "href": "https://example.com/de/best-running-shoes", "hreflang": "de" }
  ],
  "jsonLd": [
    {
      "@context": "https://schema.org",
      "@type": "Product",
      "name": "Running Shoe X",
      "offers": {
        "@type": "Offer",
        "price": "129",
        "priceCurrency": "USD"
      }
    }
  ]
}

Every signal Google, Bing, Facebook, and X look for — extracted, validated, and ready to diff against a template.

Real-world workflows

• Schema markup audit: parse JSON-LD from every product page → validate against schema.org → flag mismatches
• Hreflang sanity check: pull alternates across all pages → catch missing locales or self-references
• OG/Twitter Card review: spot pages with missing og:image before they ship to social
• Canonical conflicts: find pages where canonical doesn't match the URL itself
• Title length check: extract every title → flag the ones over 60 characters

Try it: HTML Meta to JSON

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Putting it all together: a 15-minute SEO audit recipe

Here's how a real audit looks when these tools chain together:

1. Inventory the site — paste the sitemap URL into Sitemap to Excel → 5,000 URLs in a spreadsheet
2. Sample 50 high-priority URLs (priority >= 0.8)
3. Pull each page's meta — drop the HTML into HTML Meta to JSON → check for missing description, canonical, OG image
4. Pull the structure of your top 10 pages with HTML to JSON → compare H1/H2 patterns to your highest-ranking competitors
5. Track competitor publishing cadence — convert their RSS feed to CSV → monthly publishing volume in 30 seconds

Total time: less than the average Monday standup.

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Why we built these

We talked to dozens of SEO and content folks last quarter. The same complaint kept coming up: "I waste hours every week wrangling sitemaps and RSS into spreadsheets, and there's no clean way to extract meta tags without spinning up a scraper."

The existing tools out there are either paywalled, capped at 100 URLs, or they require a Chrome extension that breaks every other month. We wanted something free, fast, no-signup, and built for files larger than a toy demo.

So we shipped these.

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Try them — free, no account needed

Converter	Best for	Link
Sitemap to CSV	Bulk URL exports, audit spreadsheets	Try it
Sitemap to Excel	Same, with ready-to-share .xlsx	Try it
RSS to CSV	Content tracking, competitor cadence	Try it
RSS to Excel	Editorial calendars, outreach lists	Try it
HTML to JSON	CMS migrations, structured extraction	Try it
HTML Meta to JSON	Meta-tag audits, schema validation	Try it

Want batch processing or API access for these? Every tool above is available via our API — same endpoints, same outputs, programmatic at scale.

Have a niche use case we missed? Hit us on contact. We read everything — half our roadmap comes from user requests.