# Website Lighthouse & WCAG Regression Report (`taroyamada/website-lighthouse-accessibility-regression-report`) Actor Run Lighthouse and axe-core audits on authorized public websites, then generate performance, accessibility, SEO, and regression reports. - **URL**: https://apify.com/taroyamada/website-lighthouse-accessibility-regression-report.md - **Developed by:** [naoki anzai](https://apify.com/taroyamada) (community) - **Categories:** SEO tools, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $80.00 / 1,000 lighthouse page audits This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Website Lighthouse & WCAG Regression Report Site owners, agencies, and engineering teams use this Actor to audit authorized public pages and catch quality regressions. Input public URLs or a sitemap, device strategy, monitor key, and score-drop threshold. Get Lighthouse scores, axe-core findings, regression alerts, and a multi-page handoff report without a paid API key. ### Store Quickstart ```json { "urls": ["https://example.com/"], "maxPages": 1, "strategy": "mobile", "runMode": "audit", "generateReport": true, "generateExport": false, "authorizedUseConfirmed": true, "maxChargeUsd": 4, "dryRun": false } ```` ### Run the next report - Check crawl and indexability policy with [Site QA Indexability & AI Crawler Report](https://apify.com/taroyamada/site-qa-indexability-ai-crawler-report-scraper). - Scan content-level site issues with [Site QA Content Report Scraper](https://apify.com/taroyamada/site-qa-content-report-scraper). - Monitor portfolio-level technical SEO changes with [Technical SEO Portfolio Regression Report](https://apify.com/taroyamada/technical-seo-portfolio-regression-report). ### Input examples #### One-page mobile audit ```json { "urls": ["https://example.com/"], "strategy": "mobile", "runMode": "audit", "generateReport": true, "authorizedUseConfirmed": true, "dryRun": false } ``` #### Sitemap portfolio report ```json { "urls": [], "sitemapUrl": "https://example.com/sitemap.xml", "maxPages": 10, "strategy": "both", "runMode": "audit", "generateReport": true, "generateExport": true, "authorizedUseConfirmed": true, "maxChargeUsd": 12, "dryRun": false } ``` #### Recurring regression monitor ```json { "urls": ["https://example.com/", "https://example.com/pricing"], "strategy": "mobile", "runMode": "monitor", "monitorKey": "example-production-quality", "initialRunMode": "baseline_only", "scoreDropThreshold": 5, "generateReport": true, "emitUnchanged": false, "authorizedUseConfirmed": true, "dryRun": false } ``` The first baseline-only monitor stores scores privately and emits zero rows. Later unchanged runs also emit zero rows and zero charges. ### Sample output ```json { "rowType": "site_quality_report", "billingEventName": "site-quality-report", "auditedPageCount": 2, "averageScores": { "performance": 86.5, "accessibility": 94, "bestPractices": 96, "seo": 92 }, "regressionCount": 1, "seriousViolationCount": 2, "summary": "2 page/strategy audits, 1 material regression.", "sourceUrl": "https://example.com/" } ``` ### Pricing | Event | Price | Emitted when | | --- | ---: | --- | | `lighthouse-audit-completed` | $0.08 | A page and device-strategy Lighthouse audit completes | | `accessibility-audit-completed` | $0.05 | The same page receives an axe-core audit | | `quality-regression-alert` | $0.20 | A score drops beyond the threshold or a serious finding appears | | `site-quality-report` | $3.00 | A multi-page report is generated | | `portfolio-export` | $5.00 | A full audit handoff export is requested | There is no start charge. Failed pages are warnings and are not billed as completed audits. `maxChargeUsd` caps planned Actor charges. ### Security and compliance - Live runs require `authorizedUseConfirmed: true`. Audit only sites you own, operate, or are authorized to test. - Private networks, localhost, metadata endpoints, non-HTTP(S) URLs, and private redirect destinations are blocked. - Login walls, CAPTCHAs, and explicit access blocks fail closed. - Automated accessibility findings do not replace manual WCAG review or constitute legal certification. - This is an independent tool and is not affiliated with Google, Chrome, W3C, or Deque. ### Operational limits Lighthouse is a lab test, so performance scores vary with page and network conditions. `maxPages` is capped at 50 and each page is audited sequentially to control browser load and source pressure. # Actor input Schema ## `urls` (type: `array`): Authorized public HTTP(S) pages to audit. ## `sitemapUrl` (type: `string`): Optional public sitemap.xml. URLs are capped by maxPages. ## `maxPages` (type: `integer`): Maximum unique pages audited in one run. ## `strategy` (type: `string`): Audit with mobile emulation, desktop settings, or both. ## `runMode` (type: `string`): Audit returns current results; monitor stores a baseline and returns changes. ## `monitorKey` (type: `string`): Stable private state namespace for a recurring monitor. ## `initialRunMode` (type: `string`): Store a free baseline or emit the first observed audit rows. ## `scoreDropThreshold` (type: `number`): Alert when a 0–100 Lighthouse category score falls by at least this amount. ## `generateReport` (type: `boolean`): Create one multi-page report row when audit rows are emitted. ## `generateExport` (type: `boolean`): Create one full audit handoff export row. ## `emitUnchanged` (type: `boolean`): Keep false so unchanged monitor runs emit zero rows and zero charges. ## `authorizedUseConfirmed` (type: `boolean`): Required for live runs. Use only sites you own, operate, or are authorized to test. ## `maxChargeUsd` (type: `number`): Optional Actor-side spending cap; zero uses only the Apify run limit. ## `timeoutMs` (type: `integer`): Maximum Lighthouse execution time per page and strategy. ## `dryRun` (type: `boolean`): Return illustrative rows without fetching pages or charging events. ## Actor input object example ```json { "urls": [ "https://example.com/" ], "sitemapUrl": "", "maxPages": 5, "strategy": "mobile", "runMode": "audit", "monitorKey": "", "initialRunMode": "baseline_only", "scoreDropThreshold": 5, "generateReport": true, "generateExport": false, "emitUnchanged": false, "authorizedUseConfirmed": false, "maxChargeUsd": 0, "timeoutMs": 90000, "dryRun": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/website-lighthouse-accessibility-regression-report").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("taroyamada/website-lighthouse-accessibility-regression-report").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call taroyamada/website-lighthouse-accessibility-regression-report --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/website-lighthouse-accessibility-regression-report", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Lighthouse & WCAG Regression Report", "description": "Run Lighthouse and axe-core audits on authorized public websites, then generate performance, accessibility, SEO, and regression reports.", "version": "0.1", "x-build-id": "EYc274rhVRYzqSgC7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~website-lighthouse-accessibility-regression-report/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-website-lighthouse-accessibility-regression-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~website-lighthouse-accessibility-regression-report/runs": { "post": { "operationId": "runs-sync-taroyamada-website-lighthouse-accessibility-regression-report", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~website-lighthouse-accessibility-regression-report/run-sync": { "post": { "operationId": "run-sync-taroyamada-website-lighthouse-accessibility-regression-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "urls": { "title": "URLs", "type": "array", "description": "Authorized public HTTP(S) pages to audit.", "items": { "type": "string" }, "default": [ "https://example.com/" ] }, "sitemapUrl": { "title": "Sitemap URL", "type": "string", "description": "Optional public sitemap.xml. URLs are capped by maxPages.", "default": "" }, "maxPages": { "title": "Maximum pages", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum unique pages audited in one run.", "default": 5 }, "strategy": { "title": "Lighthouse strategy", "enum": [ "mobile", "desktop", "both" ], "type": "string", "description": "Audit with mobile emulation, desktop settings, or both.", "default": "mobile" }, "runMode": { "title": "Run mode", "enum": [ "audit", "monitor" ], "type": "string", "description": "Audit returns current results; monitor stores a baseline and returns changes.", "default": "audit" }, "monitorKey": { "title": "Monitor key", "type": "string", "description": "Stable private state namespace for a recurring monitor.", "default": "" }, "initialRunMode": { "title": "First monitor run", "enum": [ "baseline_only", "emit_backfill" ], "type": "string", "description": "Store a free baseline or emit the first observed audit rows.", "default": "baseline_only" }, "scoreDropThreshold": { "title": "Score drop alert threshold", "minimum": 1, "maximum": 50, "type": "number", "description": "Alert when a 0–100 Lighthouse category score falls by at least this amount.", "default": 5 }, "generateReport": { "title": "Generate site report", "type": "boolean", "description": "Create one multi-page report row when audit rows are emitted.", "default": true }, "generateExport": { "title": "Generate portfolio export", "type": "boolean", "description": "Create one full audit handoff export row.", "default": false }, "emitUnchanged": { "title": "Emit unchanged monitor rows", "type": "boolean", "description": "Keep false so unchanged monitor runs emit zero rows and zero charges.", "default": false }, "authorizedUseConfirmed": { "title": "I am authorized to audit these URLs", "type": "boolean", "description": "Required for live runs. Use only sites you own, operate, or are authorized to test.", "default": false }, "maxChargeUsd": { "title": "Maximum Actor charge", "minimum": 0, "maximum": 1000, "type": "number", "description": "Optional Actor-side spending cap; zero uses only the Apify run limit.", "default": 0 }, "timeoutMs": { "title": "Per-page timeout", "minimum": 30000, "maximum": 180000, "type": "integer", "description": "Maximum Lighthouse execution time per page and strategy.", "default": 90000 }, "dryRun": { "title": "Dry run", "type": "boolean", "description": "Return illustrative rows without fetching pages or charging events.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```