# Website Performance Analyzer (`junipr/website-performance-analyzer`) Actor
Audit sites with real Google Lighthouse for Performance, Accessibility, Best Practices, SEO, and PWA. Core Web Vitals (LCP, CLS, TBT, SI). Detailed audit findings per category. Mobile/desktop. Multi-URL.
- **URL**: https://apify.com/junipr/website-performance-analyzer.md
- **Developed by:** [junipr](https://apify.com/junipr) (community)
- **Categories:** SEO tools, Developer tools
- **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $13.00 / 1,000 url analyzeds
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 Performance Analyzer
Audit any URL for Core Web Vitals, SEO, accessibility, and page weight — then get a prioritized, human-readable list of exactly what to fix. Unlike tools that dump raw Lighthouse JSON, this actor produces structured reports with pass/fail ratings and actionable recommendations sorted by impact.
### What It Measures
#### Core Web Vitals (with pass/fail ratings)
- **LCP** (Largest Contentful Paint) — how fast the main content loads. Good: < 2.5s
- **FCP** (First Contentful Paint) — when the first pixel of content appears. Good: < 1.8s
- **CLS** (Cumulative Layout Shift) — how much the layout shifts during load. Good: < 0.1
- **TTFB** (Time to First Byte) — server response speed. Good: < 800ms
Each metric receives one of three ratings: **good**, **needs-improvement**, or **poor** — matching Google's CWV thresholds.
#### Page Stats
Total transfer size (with human-readable formatting), resource count, per-type breakdown (scripts, stylesheets, images, fonts, etc.), and a count of render-blocking resources that delay page rendering.
#### SEO Basics
Title tag (presence + length 10–70 chars), meta description (presence + length 50–160 chars), viewport meta tag, canonical URL, and H1 heading (presence + count).
#### Accessibility Basics
Images without alt text, links without descriptive text or aria-label, form inputs without associated labels, and a heuristic contrast check across visible text elements.
#### Performance Scores
Each URL receives three scores (0–100): **Performance**, **SEO**, and **Accessibility** — calculated directly from the measured metrics using the same thresholds as industry-standard auditors.
### Prioritized Recommendations
Every result includes a ranked list of fixes sorted **high → medium → low** priority. Each recommendation includes:
- Category (performance, seo, or accessibility)
- A plain-English title
- A description explaining what to fix and why, with specific values from the page
Examples: "LCP is 4,200ms — add `` for your hero image", "3 images missing alt text — add descriptive alt attributes", "No meta description found — add 50–160 character description".
### Input Options
| Field | Default | Description |
|---|---|---|
| `urls` | `[{"url": "https://crawlee.dev"}]` | URLs to analyze. Each entry: `{ "url": "...", "label": "..." }` |
| `device` | `mobile` | Viewport mode: `mobile` (375×812) or `desktop` (1280×800) |
| `waitForNetworkIdle` | `true` | Wait for network activity to settle before collecting metrics |
| `maxConcurrency` | `3` | URLs analyzed in parallel (1–10) |
| `requestTimeout` | `60000` | Page load timeout in milliseconds (10,000–120,000) |
All fields have defaults — the actor runs zero-config.
### Output Format
Each URL produces one dataset record with:
- `coreWebVitals` — LCP, FCP, CLS, TTFB with values, ratings, and units
- `pageStats` — total requests, transfer size, resource breakdown by type
- `seo` — title, meta description, viewport, canonical, H1 checks
- `accessibility` — image alt, link text, input label, contrast issue counts
- `scores` — performance (0–100), seo (0–100), accessibility (0–100)
- `recommendations` — prioritized fix list with title + description
- `analyzedAt` — ISO 8601 timestamp
### Competitive Advantage
Most performance tools produce raw JSON that requires interpretation. This actor produces **decision-ready output**: every result tells you what's wrong and what to do about it, ranked by impact. Useful for developers auditing their own sites, agencies producing reports for clients, and SEO/performance monitoring workflows.
### Pricing
This actor charges per URL analyzed via Apify's Pay Per Event billing. You only pay for URLs that complete analysis — failed navigations are not charged.
---
#### FAQ
**Can I analyze multiple URLs in one run?**
Yes — pass any number of URLs in the `urls` array. They are processed in parallel up to `maxConcurrency`.
**How is the performance score calculated?**
LCP (40%), FCP (25%), CLS (25%), TTFB (10%) — each metric earns 100 points for "good", 60 for "needs-improvement", 20 for "poor". Scores are weighted and summed.
**Does this run real Lighthouse?**
No — it uses Playwright's browser Performance APIs (Navigation Timing, Paint Timing, PerformanceObserver) which capture the same underlying metrics. Results are comparable to Lighthouse field data.
**What devices are supported?**
Mobile (iPhone-style, 375×812, 2× DPR) and Desktop (1280×800, 1× DPR). Mobile is the default since Google uses mobile-first indexing.
**Can I analyze pages behind a login?**
Not directly in the current version. Authentication flows require additional configuration.
**How accurate is the contrast check?**
The contrast check is heuristic — it samples up to 100 text elements and calculates WCAG contrast ratios from computed styles. It may miss some issues and flag some false positives on elements with complex backgrounds. Use a dedicated accessibility scanner for comprehensive WCAG auditing.
# Actor input Schema
## `urls` (type: `array`):
URLs to audit. Each entry: { "url": "https://...", "label": "optional-name" }.
## `device` (type: `string`):
Lighthouse emulation mode. Mobile uses throttled 4x CPU slowdown and 3G-like network; Desktop uses unthrottled settings.
## `maxConcurrency` (type: `integer`):
Maximum number of URLs analyzed in parallel. Note: Lighthouse runs are resource-intensive, so keep this low.
## `requestTimeout` (type: `integer`):
Maximum time Lighthouse will wait for a page to load before collecting metrics.
## Actor input object example
```json
{
"urls": [
{
"url": "https://crawlee.dev",
"label": "crawlee"
}
],
"device": "mobile",
"maxConcurrency": 3,
"requestTimeout": 60000
}
````
# Actor output Schema
## `results` (type: `string`):
Per-URL Lighthouse audit results including all 5 category scores, CWV ratings, and actionable recommendations.
# 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("junipr/website-performance-analyzer").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("junipr/website-performance-analyzer").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 junipr/website-performance-analyzer --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=junipr/website-performance-analyzer",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Website Performance Analyzer",
"description": "Audit sites with real Google Lighthouse for Performance, Accessibility, Best Practices, SEO, and PWA. Core Web Vitals (LCP, CLS, TBT, SI). Detailed audit findings per category. Mobile/desktop. Multi-URL.",
"version": "1.0",
"x-build-id": "JuFh8a2hdqoPfy6ke"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/junipr~website-performance-analyzer/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-junipr-website-performance-analyzer",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/junipr~website-performance-analyzer/runs": {
"post": {
"operationId": "runs-sync-junipr-website-performance-analyzer",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/junipr~website-performance-analyzer/run-sync": {
"post": {
"operationId": "run-sync-junipr-website-performance-analyzer",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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 to Analyze",
"type": "array",
"description": "URLs to audit. Each entry: { \"url\": \"https://...\", \"label\": \"optional-name\" }.",
"items": {
"type": "object",
"properties": {
"url": {
"type": "string",
"title": "URL",
"description": "URL to analyze"
},
"label": {
"type": "string",
"title": "Label",
"description": "Optional label for reporting"
}
}
},
"default": [
{
"url": "https://crawlee.dev",
"label": "crawlee"
}
]
},
"device": {
"title": "Device Mode",
"enum": [
"mobile",
"desktop"
],
"type": "string",
"description": "Lighthouse emulation mode. Mobile uses throttled 4x CPU slowdown and 3G-like network; Desktop uses unthrottled settings.",
"default": "mobile"
},
"maxConcurrency": {
"title": "Max Concurrency",
"minimum": 1,
"maximum": 5,
"type": "integer",
"description": "Maximum number of URLs analyzed in parallel. Note: Lighthouse runs are resource-intensive, so keep this low.",
"default": 3
},
"requestTimeout": {
"title": "Page Load Timeout (ms)",
"minimum": 10000,
"maximum": 120000,
"type": "integer",
"description": "Maximum time Lighthouse will wait for a page to load before collecting metrics.",
"default": 60000
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```