WCAG Accessibility Checker API | ADA & EAA Compliance Audit

Integrate robust compliance testing into your QA pipelines using this accessibility scraper to analyze arbitrary websites for ADA, EAA, and WCAG 2.1 violations. Testing for screen reader compatibility and keyboard navigation manually wastes developer hours, but you can automate the entire process. Spinning up a headless browser, the tool navigates your list of URLs to extract granular details about DOM elements failing accessibility checks. Web ops teams and developers rely on this scraper to catch severity-scored regressions before they hit production. Every time you run a scan, you receive structured data featuring an A-F grade for each page, the exact HTML nodes causing issues, and clear remediation steps mapped to official guidelines. You can schedule the crawler to scrape staging websites nightly, ensuring new code doesn't break established compliance. The results highlight exactly what needs fixing, saving hours of debugging. Export the scraped data to your internal dashboards or use the API to block builds when critical errors are detected. Google and other search engines demand accessible web pages, making automated audits non-negotiable for modern tools. Stop guessing about site health and start using precise, automated checks to keep your web presence perfectly accessible for all users.

Store Quickstart

Run this actor with your target input. Results appear in the Apify Dataset and can be piped to webhooks for real-time delivery. Use dryRun to validate before committing to a schedule.

Key Features

• 🛡️ Compliance-first — Produces audit-ready reports mapping findings to standards (WCAG, GDPR, SOC2)
• 🔒 Non-invasive scanning — Uses only observable public signals — no intrusive probing
• 📊 Severity-scored output — Each finding rated for criticality with remediation guidance
• 📡 Delta-alerting — Flag new findings since last run via webhook delivery
• 📋 Evidence export — Raw headers/responses captured for compliance documentation

Use Cases

Who	Why
Developers	Automate recurring data fetches without building custom scrapers
Data teams	Pipe structured output into analytics warehouses
Ops teams	Monitor changes via webhook alerts
Product managers	Track competitor/market signals without engineering time

Input

Field	Type	Default	Description
urls	array	prefilled	List of URLs to audit for WCAG accessibility compliance. Maximum 50 per run.
wcagLevel	string	"AA"	WCAG conformance level to check against. AA is the most common legal requirement (ADA, EAA). AAA is the strictest.
includeWarnings	boolean	true	Include incomplete checks that need manual review, in addition to definite violations.
delivery	string	"dataset"	How to deliver results. 'dataset' saves to Apify Dataset, 'webhook' sends to a URL.
webhookUrl	string	—	Webhook URL to send results to (only used when delivery is 'webhook'). Works with Slack, Discord, or any HTTP endpoint.
snapshotKey	string	"wcag-accessibility-snapshots"	Key name for storing snapshots (used for change detection between runs).
concurrency	integer	2	Parallel browser tabs. Higher = faster but uses more memory. Keep at 2-3 for most cases.
waitForSelector	string	—	Optional CSS selector to wait for before auditing. Useful for SPAs that load content dynamically.

Input Example

{
  "urls": [
    "https://example.com",
    "https://www.w3.org"
  ],
  "wcagLevel": "AA",
  "includeWarnings": true,
  "delivery": "dataset",
  "snapshotKey": "wcag-accessibility-snapshots",
  "concurrency": 2,
  "timeout": 30000,
  "dryRun": false
}

Output

Field	Type	Description
url	string (url)	Audited page URL
score	object	Overall score { total, grade (A-F), level (AA/AAA) }
summary	object	{ violations, critical, serious, moderate, minor, passes, incomplete, totalAffectedNodes }
violations	array	Array of WCAG violations with rule id, impact, description, nodes
recommendedActions	array	Prioritized remediation suggestions
changes	array	Diff vs previous snapshot (grade/total delta)

Output Example

{
  "status": "ok",
  "data": []
}

API Usage

Run this actor programmatically using the Apify API. Replace YOUR_API_TOKEN with your token from Apify Console → Settings → Integrations.

cURL

curl -X POST "https://api.apify.com/v2/acts/taroyamada~wcag-accessibility-checker/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ "urls": [ "https://example.com", "https://www.w3.org" ], "wcagLevel": "AA", "includeWarnings": true, "delivery": "dataset", "snapshotKey": "wcag-accessibility-snapshots", "concurrency": 2, "timeout": 30000, "dryRun": false }'

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("taroyamada/wcag-accessibility-checker").call(run_input={
  "urls": [
    "https://example.com",
    "https://www.w3.org"
  ],
  "wcagLevel": "AA",
  "includeWarnings": true,
  "delivery": "dataset",
  "snapshotKey": "wcag-accessibility-snapshots",
  "concurrency": 2,
  "timeout": 30000,
  "dryRun": false
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('taroyamada/wcag-accessibility-checker').call({
  "urls": [
    "https://example.com",
    "https://www.w3.org"
  ],
  "wcagLevel": "AA",
  "includeWarnings": true,
  "delivery": "dataset",
  "snapshotKey": "wcag-accessibility-snapshots",
  "concurrency": 2,
  "timeout": 30000,
  "dryRun": false
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Tips & Limitations

• Schedule weekly runs against your production domains to catch config drift.
• Use webhook delivery to pipe findings into your SIEM (Splunk, Datadog, Elastic).
• For CI integration, block releases on critical severity findings using exit codes.
• Combine with ssl-certificate-monitor for layered cert + headers coverage.
• Findings include links to official remediation docs — share with dev teams via the webhook payload.

FAQ

Is running this against a third-party site legal?

Passive public-header scanning is generally permitted, but follow your own compliance policies. Only scan sites you have authorization for.

How often should I scan?

Weekly for production domains; daily if you have high config-change velocity.

Can I export to a compliance tool?

Use webhook delivery or Dataset API — formats map well to Drata, Vanta, OneTrust import templates.

Is this a penetration test?

No — this actor performs passive compliance scanning only. No exploitation, fuzzing, or auth bypass.

Does this qualify as a SOC2 control?

This actor produces evidence artifacts suitable for SOC2 CC7.1 (continuous monitoring). It is not itself a SOC2 certification.

Related Actors

Security & Compliance cluster — explore related Apify tools:

• Privacy & Cookie Compliance Scanner | GDPR / CCPA Banner Audit — Scan public privacy pages and cookie banners for GDPR/CCPA compliance signals.
• Security Headers Checker API | OWASP Audit — Bulk-audit websites for OWASP security headers, grade each response, and monitor header changes between runs.
• SSL Certificate Monitor API | Expiry + Issuer Changes — Check SSL/TLS certificates in bulk, detect expiry and issuer changes, and emit alert-ready rows for ops and SEO teams.
• DNS / SPF / DKIM / DMARC Audit API — Bulk-audit domains for SPF, DKIM, DMARC, MX, and email-auth posture with grades and fix-ready recommendations.
• robots.txt AI Policy Monitor | GPTBot ClaudeBot — Detect GPTBot, ClaudeBot, Google-Extended, and other AI crawler policies in robots.
• Data Breach Disclosure Monitor | HIPAA Breach Watch — Monitor the HHS OCR Breach Portal for new HIPAA data breach disclosures.
• 📜 Open-Source License & Dependency Audit API — Audit npm packages for license risk, dependency depth, maintainer activity, and compliance posture.
• Trust Center & Subprocessor Monitor API — Monitor vendor trust centers, subprocessor lists, DPA updates, and security posture changes.

Cost

Pay Per Event:

• actor-start: $0.01 (flat fee per run)
• dataset-item: $0.003 per output item

Example: 1,000 items = $0.01 + (1,000 × $0.003) = $3.01

No subscription required — you only pay for what you use.

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