MioDottore scraper avatar

MioDottore scraper

Try for free

Pay $10.00 for 1,000 results

Go to Store
MioDottore scraper

MioDottore scraper

giovannibiancia/miodottore-scraper
Try for free

Pay $10.00 for 1,000 results

Extract detailed info from miodottore.it: names, addresses, specialties, coordinates, images, and profile links. Ideal for directories, medical trends analysis, and app integration. Easy setup on Apify platform. Outputs structured JSON format.

You can access the MioDottore 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.

1{
2  "openapi": "3.0.1",
3  "info": {
4    "version": "0.0",
5    "x-build-id": "Tr8qU8jDTAgB90YJJ"
6  },
7  "servers": [
8    {
9      "url": "https://api.apify.com/v2"
10    }
11  ],
12  "paths": {
13    "/acts/giovannibiancia~miodottore-scraper/run-sync-get-dataset-items": {
14      "post": {
15        "operationId": "run-sync-get-dataset-items-giovannibiancia-miodottore-scraper",
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                "$ref": "#/components/schemas/inputSchema"
27              }
28            }
29          }
30        },
31        "parameters": [
32          {
33            "name": "token",
34            "in": "query",
35            "required": true,
36            "schema": {
37              "type": "string"
38            },
39            "description": "Enter your Apify token here"
40          }
41        ],
42        "responses": {
43          "200": {
44            "description": "OK"
45          }
46        }
47      }
48    },
49    "/acts/giovannibiancia~miodottore-scraper/runs": {
50      "post": {
51        "operationId": "runs-sync-giovannibiancia-miodottore-scraper",
52        "x-openai-isConsequential": false,
53        "summary": "Executes an Actor and returns information about the initiated run in response.",
54        "tags": [
55          "Run Actor"
56        ],
57        "requestBody": {
58          "required": true,
59          "content": {
60            "application/json": {
61              "schema": {
62                "$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                  "$ref": "#/components/schemas/runsResponseSchema"
85                }
86              }
87            }
88          }
89        }
90      }
91    },
92    "/acts/giovannibiancia~miodottore-scraper/run-sync": {
93      "post": {
94        "operationId": "run-sync-giovannibiancia-miodottore-scraper",
95        "x-openai-isConsequential": false,
96        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97        "tags": [
98          "Run Actor"
99        ],
100        "requestBody": {
101          "required": true,
102          "content": {
103            "application/json": {
104              "schema": {
105                "$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          "professions",
135          "city"
136        ],
137        "properties": {
138          "professions": {
139            "title": "Seleziona le professioni",
140            "uniqueItems": true,
141            "type": "array",
142            "description": "Scegli le professioni da includere nello scraping.",
143            "items": {
144              "type": "string",
145              "enum": [
146                "medico-di-base",
147                "ginecologo",
148                "ortopedico",
149                "dermatologo",
150                "nutrizionista",
151                "psicologo",
152                "oculista",
153                "urologo",
154                "otorino",
155                "cardiologo",
156                "dentista",
157                "chirurgo generale",
158                "osteopata",
159                "internista",
160                "medico estetico",
161                "endocrinologo",
162                "gastroenterologo",
163                "neurologo",
164                "neurochirurgo",
165                "fisioterapista",
166                "chirurgo plastico",
167                "psichiatra",
168                "psicoterapeuta",
169                "pediatra",
170                "podologo",
171                "reumatologo",
172                "pneumologo",
173                "fisiatra",
174                "chirurgo vascolare",
175                "dietista",
176                "andrologo",
177                "allergologo",
178                "radiologo",
179                "proctologo",
180                "angiologo",
181                "ematologo",
182                "senologo",
183                "dietologo",
184                "geriatra",
185                "agopuntore",
186                "medico dello sport",
187                "oncologo",
188                "psicologo clinico",
189                "chirurgo",
190                "nefrologo",
191                "pediatra di libera scelta",
192                "diabetologo",
193                "logopedista",
194                "chiropratico",
195                "cardiochirurgo",
196                "chirurgo maxillo facciale",
197                "medico legale",
198                "ortodontista",
199                "neuropsichiatra infantile",
200                "anestesista",
201                "chirurgo estetico",
202                "ostetrica",
203                "terapista del dolore",
204                "medico competente",
205                "omeopata",
206                "infettivologo",
207                "sessuologo",
208                "chirurgo toracico",
209                "ecografista",
210                "radiologo diagnostico",
211                "chirurgo pediatrico",
212                "posturologo",
213                "tecnico sanitario",
214                "terapeuta",
215                "tricologo",
216                "professional counselor",
217                "immunologo",
218                "igienista dentale",
219                "foniatra",
220                "medico certificatore",
221                "medico genetista",
222                "biologo della riproduzione",
223                "neuropsicologo",
224                "anatomapatologo",
225                "infermiere",
226                "radioterapista",
227                "medico nucleare",
228                "donazione sangue",
229                "chinesiologo",
230                "stomatologo",
231                "tecnico radiologo",
232                "covid test",
233                "analista clinico",
234                "audioprotesista",
235                "epidemiologo",
236                "venereologo",
237                "odontotecnico"
238              ]
239            }
240          },
241          "city": {
242            "title": "Enter cities",
243            "type": "array",
244            "description": "Enter the cities for scraping, separated by commas.",
245            "items": {
246              "type": "string"
247            }
248          }
249        }
250      },
251      "runsResponseSchema": {
252        "type": "object",
253        "properties": {
254          "data": {
255            "type": "object",
256            "properties": {
257              "id": {
258                "type": "string"
259              },
260              "actId": {
261                "type": "string"
262              },
263              "userId": {
264                "type": "string"
265              },
266              "startedAt": {
267                "type": "string",
268                "format": "date-time",
269                "example": "2025-01-08T00:00:00.000Z"
270              },
271              "finishedAt": {
272                "type": "string",
273                "format": "date-time",
274                "example": "2025-01-08T00:00:00.000Z"
275              },
276              "status": {
277                "type": "string",
278                "example": "READY"
279              },
280              "meta": {
281                "type": "object",
282                "properties": {
283                  "origin": {
284                    "type": "string",
285                    "example": "API"
286                  },
287                  "userAgent": {
288                    "type": "string"
289                  }
290                }
291              },
292              "stats": {
293                "type": "object",
294                "properties": {
295                  "inputBodyLen": {
296                    "type": "integer",
297                    "example": 2000
298                  },
299                  "rebootCount": {
300                    "type": "integer",
301                    "example": 0
302                  },
303                  "restartCount": {
304                    "type": "integer",
305                    "example": 0
306                  },
307                  "resurrectCount": {
308                    "type": "integer",
309                    "example": 0
310                  },
311                  "computeUnits": {
312                    "type": "integer",
313                    "example": 0
314                  }
315                }
316              },
317              "options": {
318                "type": "object",
319                "properties": {
320                  "build": {
321                    "type": "string",
322                    "example": "latest"
323                  },
324                  "timeoutSecs": {
325                    "type": "integer",
326                    "example": 300
327                  },
328                  "memoryMbytes": {
329                    "type": "integer",
330                    "example": 1024
331                  },
332                  "diskMbytes": {
333                    "type": "integer",
334                    "example": 2048
335                  }
336                }
337              },
338              "buildId": {
339                "type": "string"
340              },
341              "defaultKeyValueStoreId": {
342                "type": "string"
343              },
344              "defaultDatasetId": {
345                "type": "string"
346              },
347              "defaultRequestQueueId": {
348                "type": "string"
349              },
350              "buildNumber": {
351                "type": "string",
352                "example": "1.0.0"
353              },
354              "containerUrl": {
355                "type": "string"
356              },
357              "usage": {
358                "type": "object",
359                "properties": {
360                  "ACTOR_COMPUTE_UNITS": {
361                    "type": "integer",
362                    "example": 0
363                  },
364                  "DATASET_READS": {
365                    "type": "integer",
366                    "example": 0
367                  },
368                  "DATASET_WRITES": {
369                    "type": "integer",
370                    "example": 0
371                  },
372                  "KEY_VALUE_STORE_READS": {
373                    "type": "integer",
374                    "example": 0
375                  },
376                  "KEY_VALUE_STORE_WRITES": {
377                    "type": "integer",
378                    "example": 1
379                  },
380                  "KEY_VALUE_STORE_LISTS": {
381                    "type": "integer",
382                    "example": 0
383                  },
384                  "REQUEST_QUEUE_READS": {
385                    "type": "integer",
386                    "example": 0
387                  },
388                  "REQUEST_QUEUE_WRITES": {
389                    "type": "integer",
390                    "example": 0
391                  },
392                  "DATA_TRANSFER_INTERNAL_GBYTES": {
393                    "type": "integer",
394                    "example": 0
395                  },
396                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
397                    "type": "integer",
398                    "example": 0
399                  },
400                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
401                    "type": "integer",
402                    "example": 0
403                  },
404                  "PROXY_SERPS": {
405                    "type": "integer",
406                    "example": 0
407                  }
408                }
409              },
410              "usageTotalUsd": {
411                "type": "number",
412                "example": 0.00005
413              },
414              "usageUsd": {
415                "type": "object",
416                "properties": {
417                  "ACTOR_COMPUTE_UNITS": {
418                    "type": "integer",
419                    "example": 0
420                  },
421                  "DATASET_READS": {
422                    "type": "integer",
423                    "example": 0
424                  },
425                  "DATASET_WRITES": {
426                    "type": "integer",
427                    "example": 0
428                  },
429                  "KEY_VALUE_STORE_READS": {
430                    "type": "integer",
431                    "example": 0
432                  },
433                  "KEY_VALUE_STORE_WRITES": {
434                    "type": "number",
435                    "example": 0.00005
436                  },
437                  "KEY_VALUE_STORE_LISTS": {
438                    "type": "integer",
439                    "example": 0
440                  },
441                  "REQUEST_QUEUE_READS": {
442                    "type": "integer",
443                    "example": 0
444                  },
445                  "REQUEST_QUEUE_WRITES": {
446                    "type": "integer",
447                    "example": 0
448                  },
449                  "DATA_TRANSFER_INTERNAL_GBYTES": {
450                    "type": "integer",
451                    "example": 0
452                  },
453                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
454                    "type": "integer",
455                    "example": 0
456                  },
457                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
458                    "type": "integer",
459                    "example": 0
460                  },
461                  "PROXY_SERPS": {
462                    "type": "integer",
463                    "example": 0
464                  }
465                }
466              }
467            }
468          }
469        }
470      }
471    }
472  }
473}

MioDottore 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 MioDottore scraper 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:

Developer
Maintained by Community

Actor Metrics

  • 3 monthly users

  • 1 star

  • >99% runs succeeded

  • Created in Jun 2024

  • Modified 8 days ago

Categories