# Google PageSpeed Insights (`seemuapps/google-pagespeed-insights`) Actor Run a list of URLs through Google PageSpeed Insights and get Lighthouse scores plus Core Web Vitals for each one. - **URL**: https://apify.com/seemuapps/google-pagespeed-insights.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** SEO tools, AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 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 ## Google PageSpeed Insights Run any list of URLs through Google PageSpeed Insights and get back Lighthouse scores plus Core Web Vitals in one clean dataset — no browser, no scraping, no setup. ### What you get - **Lighthouse category scores** for performance, accessibility, best-practices, SEO, and PWA (0–100) - **Core Web Vitals** per URL — LCP, FCP, CLS, TBT, Speed Index - **Mobile or desktop strategy** — match the audit to the user agent your traffic actually comes from - **Dataset row per URL** with status, scores, vitals, fetch time, and final resolved URL - Error-tolerant — failed URLs are logged with the reason, the run continues with the rest ### Use cases - **SEO audits** — bulk-score a client's entire URL list and surface the pages dragging the domain down - **Agency client reports** — pull fresh Lighthouse numbers on a schedule and feed them straight into your reporting stack - **Regression monitoring after deploys** — run the actor post-release and diff scores against the previous build - **Core Web Vitals tracking** — keep LCP, CLS, and TBT in a single table so you can watch trends over time - **Competitor benchmarking** — score competitor URLs alongside your own and see exactly where you stand ### How to use 1. Paste your URLs into the **URLs** field — one per entry, full `https://` URLs 2. Choose a **Strategy** (`mobile` or `desktop` — default `mobile`, matching how Google ranks) 3. Adjust **Categories** if needed (default: performance, SEO, accessibility, best-practices) 4. Run the actor — results stream into the **Dataset** as each URL finishes 5. Export the dataset as CSV or JSON, or pull it via the Apify API for your own pipeline ### Output format Each dataset record: ```json { "url": "https://www.apify.com", "status": "success", "strategy": "mobile", "performanceScore": 87, "accessibilityScore": 95, "bestPracticesScore": 100, "seoScore": 92, "pwaScore": null, "lcp": 2410.5, "fcp": 1320.2, "cls": 0.04, "tbt": 180, "speedIndex": 2890.7, "fetchTime": "2024-11-04T12:34:56.789Z", "finalUrl": "https://www.apify.com/", "error": null } ```` Scores are 0–100 (rounded from Lighthouse's 0–1 scale). Core Web Vitals are in milliseconds, except CLS which is unitless. If a URL fails, `status` is `"error"`, all metrics are `null`, and `error` contains the reason — the run keeps going with the remaining URLs. ### Notes - PageSpeed Insights can be slow (sometimes 20–40 seconds per URL) because Lighthouse runs a real audit on Google's infrastructure. Each request has a 60-second timeout. - Only categories you request are scored — leaving `pwa` out of the input keeps `pwaScore` as `null` in the output. # Actor input Schema ## `urls` (type: `array`): List of URLs to audit with Google PageSpeed Insights. ## `strategy` (type: `string`): Whether to run the Lighthouse audit as a mobile or desktop client. ## `categories` (type: `array`): Lighthouse categories to evaluate. Supported values: performance, accessibility, best-practices, seo, pwa. ## Actor input object example ```json { "urls": [ "https://www.apify.com", "https://www.google.com" ], "strategy": "mobile", "categories": [ "performance", "seo", "accessibility", "best-practices" ] } ``` # Actor output Schema ## `results` (type: `string`): One record per URL: url, status (success|error), category scores (performance, accessibility, best-practices, seo, pwa), Core Web Vitals (lcp, fcp, cls, tbt, speedIndex), fetchTime, finalUrl, error. # 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 = { "urls": [ "https://www.apify.com", "https://www.google.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/google-pagespeed-insights").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 = { "urls": [ "https://www.apify.com", "https://www.google.com", ] } # Run the Actor and wait for it to finish run = client.actor("seemuapps/google-pagespeed-insights").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 '{ "urls": [ "https://www.apify.com", "https://www.google.com" ] }' | apify call seemuapps/google-pagespeed-insights --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/google-pagespeed-insights", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google PageSpeed Insights", "description": "Run a list of URLs through Google PageSpeed Insights and get Lighthouse scores plus Core Web Vitals for each one.", "version": "1.0", "x-build-id": "FbzJPKcAknbWcAtwe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~google-pagespeed-insights/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-google-pagespeed-insights", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~google-pagespeed-insights/runs": { "post": { "operationId": "runs-sync-seemuapps-google-pagespeed-insights", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~google-pagespeed-insights/run-sync": { "post": { "operationId": "run-sync-seemuapps-google-pagespeed-insights", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "List of URLs to audit with Google PageSpeed Insights.", "items": { "type": "string" } }, "strategy": { "title": "Strategy", "enum": [ "mobile", "desktop" ], "type": "string", "description": "Whether to run the Lighthouse audit as a mobile or desktop client.", "default": "mobile" }, "categories": { "title": "Categories", "type": "array", "description": "Lighthouse categories to evaluate. Supported values: performance, accessibility, best-practices, seo, pwa.", "items": { "type": "string" }, "default": [ "performance", "seo", "accessibility", "best-practices" ] } } }, "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 } } } } } } } } } } ```