Universal AI GPT Scraper

louisdeconinck/ai-gpt-scraper

Transform any website into structured data with AI-powered extraction. This versatile tool combines advanced web scraping with intelligent content analysis to deliver clean, customized JSON output - perfect for automating data collection from any web source.

You can access the Universal AI GPT Scraper 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.

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132        "type": "object",
133        "required": [
134          "urls",
135          "fields"
136        ],
137        "properties": {
138          "urls": {
139            "title": "URLs",
140            "type": "array",
141            "description": "URLs to extract data from",
142            "items": {
143              "type": "string"
144            }
145          },
146          "fields": {
147            "title": "Output Fields",
148            "type": "array",
149            "description": "Fields to extract and their descriptions"
150          },
151          "cssSelector": {
152            "title": "CSS Selector",
153            "type": "string",
154            "description": "Optional CSS selector to extract text from. If provided, only text from elements matching this selector will be extracted. If not provided, the default content extraction will be used."
155          },
156          "predefinedModel": {
157            "title": "Predefined Model",
158            "enum": [
159              "google/gemini-flash-1.5",
160              "google/gemini-2.0-flash-001",
161              "openai/gpt-4o-mini",
162              "google/gemini-pro-1.5",
163              "openai/gpt-4o"
164            ],
165            "type": "string",
166            "description": "Select one of our supported AI models, we cover the AI costs for you",
167            "default": "google/gemini-2.0-flash-001"
168          },
169          "useCustomModel": {
170            "title": "Use Custom Model",
171            "type": "boolean",
172            "description": "Whether to use a custom model with your own API key",
173            "default": false
174          },
175          "customModelName": {
176            "title": "Custom Model Name",
177            "type": "string",
178            "description": "The OpenRouter identifier of your model. Make sure your model supports structured outputs and all required parameters. Check model compatibility at: https://openrouter.ai/models?supported_parameters=structured_outputs"
179          },
180          "customApiKey": {
181            "title": "OpenRouter API Key",
182            "type": "string",
183            "description": "Your OpenRouter API key for using the custom model"
184          },
185          "proxyConfiguration": {
186            "title": "Proxy Configuration",
187            "type": "object",
188            "description": "Select proxies to be used by the crawler"
189          }
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203              },
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206              },
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212              "finishedAt": {
213                "type": "string",
214                "format": "date-time",
215                "example": "2025-01-08T00:00:00.000Z"
216              },
217              "status": {
218                "type": "string",
219                "example": "READY"
220              },
221              "meta": {
222                "type": "object",
223                "properties": {
224                  "origin": {
225                    "type": "string",
226                    "example": "API"
227                  },
228                  "userAgent": {
229                    "type": "string"
230                  }
231                }
232              },
233              "stats": {
234                "type": "object",
235                "properties": {
236                  "inputBodyLen": {
237                    "type": "integer",
238                    "example": 2000
239                  },
240                  "rebootCount": {
241                    "type": "integer",
242                    "example": 0
243                  },
244                  "restartCount": {
245                    "type": "integer",
246                    "example": 0
247                  },
248                  "resurrectCount": {
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250                    "example": 0
251                  },
252                  "computeUnits": {
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255                  }
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258              "options": {
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263                    "example": "latest"
264                  },
265                  "timeoutSecs": {
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267                    "example": 300
268                  },
269                  "memoryMbytes": {
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271                    "example": 1024
272                  },
273                  "diskMbytes": {
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275                    "example": 2048
276                  }
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278              },
279              "buildId": {
280                "type": "string"
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283                "type": "string"
284              },
285              "defaultDatasetId": {
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287              },
288              "defaultRequestQueueId": {
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298              "usage": {
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300                "properties": {
301                  "ACTOR_COMPUTE_UNITS": {
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304                  },
305                  "DATASET_READS": {
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307                    "example": 0
308                  },
309                  "DATASET_WRITES": {
310                    "type": "integer",
311                    "example": 0
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313                  "KEY_VALUE_STORE_READS": {
314                    "type": "integer",
315                    "example": 0
316                  },
317                  "KEY_VALUE_STORE_WRITES": {
318                    "type": "integer",
319                    "example": 1
320                  },
321                  "KEY_VALUE_STORE_LISTS": {
322                    "type": "integer",
323                    "example": 0
324                  },
325                  "REQUEST_QUEUE_READS": {
326                    "type": "integer",
327                    "example": 0
328                  },
329                  "REQUEST_QUEUE_WRITES": {
330                    "type": "integer",
331                    "example": 0
332                  },
333                  "DATA_TRANSFER_INTERNAL_GBYTES": {
334                    "type": "integer",
335                    "example": 0
336                  },
337                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
338                    "type": "integer",
339                    "example": 0
340                  },
341                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
342                    "type": "integer",
343                    "example": 0
344                  },
345                  "PROXY_SERPS": {
346                    "type": "integer",
347                    "example": 0
348                  }
349                }
350              },
351              "usageTotalUsd": {
352                "type": "number",
353                "example": 0.00005
354              },
355              "usageUsd": {
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358                  "ACTOR_COMPUTE_UNITS": {
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363                    "type": "integer",
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366                  "DATASET_WRITES": {
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370                  "KEY_VALUE_STORE_READS": {
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390                  "DATA_TRANSFER_INTERNAL_GBYTES": {
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392                    "example": 0
393                  },
394                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
395                    "type": "integer",
396                    "example": 0
397                  },
398                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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400                    "example": 0
401                  },
402                  "PROXY_SERPS": {
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404                    "example": 0
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406                }
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412    }
413  }
414}

Universal AI GPT Scraper 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 Universal AI GPT Scraper from the options below:

OpenAPI.json

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:

Universal AI GPT Scraper API in Python

Universal AI GPT Scraper API in JavaScript

Universal AI GPT Scraper API through CLI

Universal AI GPT Scraper API

Developer

Louis Deconinck

Actor Metrics

4 monthly users
0 No stars yet
91% runs succeeded
Created in Feb 2025
Modified 5 days ago

Categories

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