Website Checker Workload avatar

Website Checker Workload

Try for free

No credit card required

Go to Store
Website Checker Workload

Website Checker Workload

lukaskrivka/website-checker-workload
Try for free

No credit card required

Creates reasonable workloads for analyzing any website with the Website Checker actor and combines the resulting data. This is the easiest way to analyze any website for compute unit usage and anti-scraping blocking.

Developer
Maintained by Community

Actor Metrics

  • 1 monthly user

  • No reviews yet

  • 2 bookmarks

  • >99% runs succeeded

  • Created in Nov 2020

  • Modified a year ago

You can access the Website Checker Workload programmatically from your own applications by using the Apify API. You can also 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": "N2R3LOOSaSVgdbFD2"
6  },
7  "servers": [
8    {
9      "url": "https://api.apify.com/v2"
10    }
11  ],
12  "paths": {
13    "/acts/lukaskrivka~website-checker-workload/run-sync-get-dataset-items": {
14      "post": {
15        "operationId": "run-sync-get-dataset-items-lukaskrivka-website-checker-workload",
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                "$ref": "#/components/schemas/inputSchema"
27              }
28            }
29          }
30        },
31        "parameters": [
32          {
33            "name": "token",
34            "in": "query",
35            "required": true,
36            "schema": {
37              "type": "string"
38            },
39            "description": "Enter your Apify token here"
40          }
41        ],
42        "responses": {
43          "200": {
44            "description": "OK"
45          }
46        }
47      }
48    },
49    "/acts/lukaskrivka~website-checker-workload/runs": {
50      "post": {
51        "operationId": "runs-sync-lukaskrivka-website-checker-workload",
52        "x-openai-isConsequential": false,
53        "summary": "Executes an Actor and returns information about the initiated run in response.",
54        "tags": [
55          "Run Actor"
56        ],
57        "requestBody": {
58          "required": true,
59          "content": {
60            "application/json": {
61              "schema": {
62                "$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                  "$ref": "#/components/schemas/runsResponseSchema"
85                }
86              }
87            }
88          }
89        }
90      }
91    },
92    "/acts/lukaskrivka~website-checker-workload/run-sync": {
93      "post": {
94        "operationId": "run-sync-lukaskrivka-website-checker-workload",
95        "x-openai-isConsequential": false,
96        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97        "tags": [
98          "Run Actor"
99        ],
100        "requestBody": {
101          "required": true,
102          "content": {
103            "application/json": {
104              "schema": {
105                "$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          "website"
135        ],
136        "properties": {
137          "website": {
138            "title": "Website URL",
139            "type": "string",
140            "description": "Website URL where you want to start checking"
141          },
142          "runBrowser": {
143            "title": "Check with browser",
144            "type": "boolean",
145            "description": "Run the checker with browser",
146            "default": true
147          },
148          "runCheerio": {
149            "title": "Check with Cheerio",
150            "type": "boolean",
151            "description": "Run the checker with cheerio",
152            "default": true
153          },
154          "proxyGroups": {
155            "title": "Proxy groups",
156            "type": "array",
157            "description": "List of proxy groups you want to test. Can be also `auto` to run with all proxies",
158            "items": {
159              "type": "string"
160            }
161          },
162          "maxPagesPerCheck": {
163            "title": "Max pages per each check",
164            "type": "integer",
165            "description": "Max pages per each check",
166            "default": 200
167          },
168          "runInParallel": {
169            "title": "Run checks in parallel",
170            "type": "boolean",
171            "description": "Turn off if you don't have enough memory. Each browser run has 8 GB and each Cheerio run has 4 GB. Each of these run for each proxy group.",
172            "default": true
173          }
174        }
175      },
176      "runsResponseSchema": {
177        "type": "object",
178        "properties": {
179          "data": {
180            "type": "object",
181            "properties": {
182              "id": {
183                "type": "string"
184              },
185              "actId": {
186                "type": "string"
187              },
188              "userId": {
189                "type": "string"
190              },
191              "startedAt": {
192                "type": "string",
193                "format": "date-time",
194                "example": "2025-01-08T00:00:00.000Z"
195              },
196              "finishedAt": {
197                "type": "string",
198                "format": "date-time",
199                "example": "2025-01-08T00:00:00.000Z"
200              },
201              "status": {
202                "type": "string",
203                "example": "READY"
204              },
205              "meta": {
206                "type": "object",
207                "properties": {
208                  "origin": {
209                    "type": "string",
210                    "example": "API"
211                  },
212                  "userAgent": {
213                    "type": "string"
214                  }
215                }
216              },
217              "stats": {
218                "type": "object",
219                "properties": {
220                  "inputBodyLen": {
221                    "type": "integer",
222                    "example": 2000
223                  },
224                  "rebootCount": {
225                    "type": "integer",
226                    "example": 0
227                  },
228                  "restartCount": {
229                    "type": "integer",
230                    "example": 0
231                  },
232                  "resurrectCount": {
233                    "type": "integer",
234                    "example": 0
235                  },
236                  "computeUnits": {
237                    "type": "integer",
238                    "example": 0
239                  }
240                }
241              },
242              "options": {
243                "type": "object",
244                "properties": {
245                  "build": {
246                    "type": "string",
247                    "example": "latest"
248                  },
249                  "timeoutSecs": {
250                    "type": "integer",
251                    "example": 300
252                  },
253                  "memoryMbytes": {
254                    "type": "integer",
255                    "example": 1024
256                  },
257                  "diskMbytes": {
258                    "type": "integer",
259                    "example": 2048
260                  }
261                }
262              },
263              "buildId": {
264                "type": "string"
265              },
266              "defaultKeyValueStoreId": {
267                "type": "string"
268              },
269              "defaultDatasetId": {
270                "type": "string"
271              },
272              "defaultRequestQueueId": {
273                "type": "string"
274              },
275              "buildNumber": {
276                "type": "string",
277                "example": "1.0.0"
278              },
279              "containerUrl": {
280                "type": "string"
281              },
282              "usage": {
283                "type": "object",
284                "properties": {
285                  "ACTOR_COMPUTE_UNITS": {
286                    "type": "integer",
287                    "example": 0
288                  },
289                  "DATASET_READS": {
290                    "type": "integer",
291                    "example": 0
292                  },
293                  "DATASET_WRITES": {
294                    "type": "integer",
295                    "example": 0
296                  },
297                  "KEY_VALUE_STORE_READS": {
298                    "type": "integer",
299                    "example": 0
300                  },
301                  "KEY_VALUE_STORE_WRITES": {
302                    "type": "integer",
303                    "example": 1
304                  },
305                  "KEY_VALUE_STORE_LISTS": {
306                    "type": "integer",
307                    "example": 0
308                  },
309                  "REQUEST_QUEUE_READS": {
310                    "type": "integer",
311                    "example": 0
312                  },
313                  "REQUEST_QUEUE_WRITES": {
314                    "type": "integer",
315                    "example": 0
316                  },
317                  "DATA_TRANSFER_INTERNAL_GBYTES": {
318                    "type": "integer",
319                    "example": 0
320                  },
321                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
322                    "type": "integer",
323                    "example": 0
324                  },
325                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
326                    "type": "integer",
327                    "example": 0
328                  },
329                  "PROXY_SERPS": {
330                    "type": "integer",
331                    "example": 0
332                  }
333                }
334              },
335              "usageTotalUsd": {
336                "type": "number",
337                "example": 0.00005
338              },
339              "usageUsd": {
340                "type": "object",
341                "properties": {
342                  "ACTOR_COMPUTE_UNITS": {
343                    "type": "integer",
344                    "example": 0
345                  },
346                  "DATASET_READS": {
347                    "type": "integer",
348                    "example": 0
349                  },
350                  "DATASET_WRITES": {
351                    "type": "integer",
352                    "example": 0
353                  },
354                  "KEY_VALUE_STORE_READS": {
355                    "type": "integer",
356                    "example": 0
357                  },
358                  "KEY_VALUE_STORE_WRITES": {
359                    "type": "number",
360                    "example": 0.00005
361                  },
362                  "KEY_VALUE_STORE_LISTS": {
363                    "type": "integer",
364                    "example": 0
365                  },
366                  "REQUEST_QUEUE_READS": {
367                    "type": "integer",
368                    "example": 0
369                  },
370                  "REQUEST_QUEUE_WRITES": {
371                    "type": "integer",
372                    "example": 0
373                  },
374                  "DATA_TRANSFER_INTERNAL_GBYTES": {
375                    "type": "integer",
376                    "example": 0
377                  },
378                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
379                    "type": "integer",
380                    "example": 0
381                  },
382                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
383                    "type": "integer",
384                    "example": 0
385                  },
386                  "PROXY_SERPS": {
387                    "type": "integer",
388                    "example": 0
389                  }
390                }
391              }
392            }
393          }
394        }
395      }
396    }
397  }
398}

Website Checker Workload 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 Website Checker Workload 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: