📐 W3C Standards Catalog Scraper

🚀 Export the full W3C Web standards catalog in seconds. Pull 1,696 specifications including HTML, CSS, ARIA, WebSocket, Web Components, and every other open Web standard with maturity status, deliverers, and full version history.

The W3C Standards Catalog Scraper exports the official W3C specifications corpus, returning 15 fields per record, including shortname, title, maturity status, description, latest version URL, first version URL, working-group deliverer shortnames, and full version history when requested. The dataset is the authoritative catalog of Web standards published by the World Wide Web Consortium since 1994.

The catalog covers 1,696 specifications across HTML, CSS, the DOM, Web APIs, ARIA accessibility standards, WebSocket, Web Components, payment APIs, internationalization, security, privacy, and dozens of other working groups. A second mode enumerates W3C working groups and community groups themselves, returning the org chart of the open Web.

🎯 Target Audience	💡 Primary Use Cases
Web developers, browser engineers, standards researchers, accessibility auditors, technical writers, conformance teams, framework authors	Conformance audits, "supported standards" dashboards, browser feature trackers, accessibility coverage, framework spec mapping, standards research

📋 What the W3C Standards Catalog Scraper does

Three workflows in a single run:

• 📚 Full specifications catalog. Every W3C spec from Recommendation to Working Draft to Retired, with shortname, title, status, and links.
• 🏛️ Working groups directory. Switch to mode: "groups" to enumerate the W3C organisational chart of working groups and community groups.
• 🔖 Status and group filters. Narrow to one maturity level (Recommendation, Candidate Recommendation, Working Draft, Group Note, Retired, Superseded, Rescinded, Proposed Recommendation) or to one working-group shortname (css, webapps, html, aria).
• 🗂️ Optional version history. Toggle includeVersions to pull the per-spec version list with one extra call per record.

Each record carries the canonical shortname, the human title, the maturity status, the editor's draft URL, the latest and first version URLs, the deliverers (working-group shortnames), and a stable API URL back to the W3C catalog.

💡 Why it matters: the Web is an open platform because standards are public, traceable, and versioned. Building a conformance, browser-tracker, or framework dashboard around them means parsing inconsistent HTML, scraping multiple pages, and stitching the org chart together by hand. This Actor gives you the structured catalog in one call.

📊 Data fields

Each record includes: apiUrl, creationDate, description, editorDraftUrl, firstVersionUrl, groupShortnames, groupType, homepageUrl, isClosed, latestVersionUrl, mode, scrapedAt, seriesShortname, seriesVersion, shortlink, shortname, status, title, versionHistory, versionsCount. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the W3C Standards Catalog Scraper page on the Apify Store.
3. 🎯 Set input. Pick a mode (specifications or groups), optionally filter by status or group, and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to a downloaded catalog: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the W3C or its member organisations. All trademarks mentioned are the property of their respective owners. Only publicly available W3C catalog data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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