
Lighthouse Audit
3 days trial then $30.00/month - No credit card required now

Lighthouse Audit
3 days trial then $30.00/month - No credit card required now
Automatically test the speed of your web pages and get daily or weekly detailed performance reports using Google's Lighthouse for Chrome. Ensure your website remains fast even as you add new features and pages. Export the result in ZIP and MHTML files
You can access the Lighthouse Audit programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "7dI0Isybcpf7Wusy4"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/microworlds~lighthouse-audit/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-microworlds-lighthouse-audit",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/microworlds~lighthouse-audit/runs": {
50 "post": {
51 "operationId": "runs-sync-microworlds-lighthouse-audit",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$ref": "#/components/schemas/inputSchema"
63 }
64 }
65 }
66 },
67 "parameters": [
68 {
69 "name": "token",
70 "in": "query",
71 "required": true,
72 "schema": {
73 "type": "string"
74 },
75 "description": "Enter your Apify token here"
76 }
77 ],
78 "responses": {
79 "200": {
80 "description": "OK",
81 "content": {
82 "application/json": {
83 "schema": {
84 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/microworlds~lighthouse-audit/run-sync": {
93 "post": {
94 "operationId": "run-sync-microworlds-lighthouse-audit",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$ref": "#/components/schemas/inputSchema"
106 }
107 }
108 }
109 },
110 "parameters": [
111 {
112 "name": "token",
113 "in": "query",
114 "required": true,
115 "schema": {
116 "type": "string"
117 },
118 "description": "Enter your Apify token here"
119 }
120 ],
121 "responses": {
122 "200": {
123 "description": "OK"
124 }
125 }
126 }
127 }
128 },
129 "components": {
130 "schemas": {
131 "inputSchema": {
132 "type": "object",
133 "required": [
134 "urls"
135 ],
136 "properties": {
137 "urls": {
138 "title": "URL of website to audit",
139 "type": "array",
140 "description": "URL of websites to run your audit on",
141 "items": {
142 "type": "string"
143 }
144 },
145 "device": {
146 "title": "Select device type",
147 "enum": [
148 "desktop",
149 "mobile"
150 ],
151 "type": "string",
152 "description": "You can run lighthouse audits on different types of devices. Desktop is selected by default",
153 "default": "Desktop"
154 },
155 "maxRequestsPerCrawl": {
156 "title": "Maximum number of URLs to crawl for this run",
157 "type": "integer",
158 "description": "Maximum number of URLs to crawl for this run",
159 "default": 500
160 },
161 "maxConcurrency": {
162 "title": "Max timeout seconds",
163 "type": "integer",
164 "description": "Maximum of of active instances",
165 "default": 5
166 },
167 "maxRequestRetries": {
168 "title": "Max request retries",
169 "type": "integer",
170 "description": "Set the max request retries",
171 "default": 3
172 },
173 "proxyConfig": {
174 "title": "Proxy configuration",
175 "type": "object",
176 "description": "This is required if you want to use Apify Proxy.",
177 "default": {
178 "useApifyProxy": true
179 }
180 }
181 }
182 },
183 "runsResponseSchema": {
184 "type": "object",
185 "properties": {
186 "data": {
187 "type": "object",
188 "properties": {
189 "id": {
190 "type": "string"
191 },
192 "actId": {
193 "type": "string"
194 },
195 "userId": {
196 "type": "string"
197 },
198 "startedAt": {
199 "type": "string",
200 "format": "date-time",
201 "example": "2025-01-08T00:00:00.000Z"
202 },
203 "finishedAt": {
204 "type": "string",
205 "format": "date-time",
206 "example": "2025-01-08T00:00:00.000Z"
207 },
208 "status": {
209 "type": "string",
210 "example": "READY"
211 },
212 "meta": {
213 "type": "object",
214 "properties": {
215 "origin": {
216 "type": "string",
217 "example": "API"
218 },
219 "userAgent": {
220 "type": "string"
221 }
222 }
223 },
224 "stats": {
225 "type": "object",
226 "properties": {
227 "inputBodyLen": {
228 "type": "integer",
229 "example": 2000
230 },
231 "rebootCount": {
232 "type": "integer",
233 "example": 0
234 },
235 "restartCount": {
236 "type": "integer",
237 "example": 0
238 },
239 "resurrectCount": {
240 "type": "integer",
241 "example": 0
242 },
243 "computeUnits": {
244 "type": "integer",
245 "example": 0
246 }
247 }
248 },
249 "options": {
250 "type": "object",
251 "properties": {
252 "build": {
253 "type": "string",
254 "example": "latest"
255 },
256 "timeoutSecs": {
257 "type": "integer",
258 "example": 300
259 },
260 "memoryMbytes": {
261 "type": "integer",
262 "example": 1024
263 },
264 "diskMbytes": {
265 "type": "integer",
266 "example": 2048
267 }
268 }
269 },
270 "buildId": {
271 "type": "string"
272 },
273 "defaultKeyValueStoreId": {
274 "type": "string"
275 },
276 "defaultDatasetId": {
277 "type": "string"
278 },
279 "defaultRequestQueueId": {
280 "type": "string"
281 },
282 "buildNumber": {
283 "type": "string",
284 "example": "1.0.0"
285 },
286 "containerUrl": {
287 "type": "string"
288 },
289 "usage": {
290 "type": "object",
291 "properties": {
292 "ACTOR_COMPUTE_UNITS": {
293 "type": "integer",
294 "example": 0
295 },
296 "DATASET_READS": {
297 "type": "integer",
298 "example": 0
299 },
300 "DATASET_WRITES": {
301 "type": "integer",
302 "example": 0
303 },
304 "KEY_VALUE_STORE_READS": {
305 "type": "integer",
306 "example": 0
307 },
308 "KEY_VALUE_STORE_WRITES": {
309 "type": "integer",
310 "example": 1
311 },
312 "KEY_VALUE_STORE_LISTS": {
313 "type": "integer",
314 "example": 0
315 },
316 "REQUEST_QUEUE_READS": {
317 "type": "integer",
318 "example": 0
319 },
320 "REQUEST_QUEUE_WRITES": {
321 "type": "integer",
322 "example": 0
323 },
324 "DATA_TRANSFER_INTERNAL_GBYTES": {
325 "type": "integer",
326 "example": 0
327 },
328 "DATA_TRANSFER_EXTERNAL_GBYTES": {
329 "type": "integer",
330 "example": 0
331 },
332 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
333 "type": "integer",
334 "example": 0
335 },
336 "PROXY_SERPS": {
337 "type": "integer",
338 "example": 0
339 }
340 }
341 },
342 "usageTotalUsd": {
343 "type": "number",
344 "example": 0.00005
345 },
346 "usageUsd": {
347 "type": "object",
348 "properties": {
349 "ACTOR_COMPUTE_UNITS": {
350 "type": "integer",
351 "example": 0
352 },
353 "DATASET_READS": {
354 "type": "integer",
355 "example": 0
356 },
357 "DATASET_WRITES": {
358 "type": "integer",
359 "example": 0
360 },
361 "KEY_VALUE_STORE_READS": {
362 "type": "integer",
363 "example": 0
364 },
365 "KEY_VALUE_STORE_WRITES": {
366 "type": "number",
367 "example": 0.00005
368 },
369 "KEY_VALUE_STORE_LISTS": {
370 "type": "integer",
371 "example": 0
372 },
373 "REQUEST_QUEUE_READS": {
374 "type": "integer",
375 "example": 0
376 },
377 "REQUEST_QUEUE_WRITES": {
378 "type": "integer",
379 "example": 0
380 },
381 "DATA_TRANSFER_INTERNAL_GBYTES": {
382 "type": "integer",
383 "example": 0
384 },
385 "DATA_TRANSFER_EXTERNAL_GBYTES": {
386 "type": "integer",
387 "example": 0
388 },
389 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
390 "type": "integer",
391 "example": 0
392 },
393 "PROXY_SERPS": {
394 "type": "integer",
395 "example": 0
396 }
397 }
398 }
399 }
400 }
401 }
402 }
403 }
404 }
405}
Lighthouse Audit OpenAPI definition
OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Lighthouse Audit from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients:
Actor Metrics
2 monthly users
-
1 bookmark
97% runs succeeded
Created in Jun 2023
Modified a year ago