Pricing
$10.00/month + usage
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.
0.0 (0)
Pricing
$10.00/month + usage
1
7
1
Last modified
4 days ago
You can access the MioDottore scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/giovannibiancia~miodottore-scraper/run-sync": { "post": { "operationId": "run-sync-giovannibiancia-miodottore-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "professions", "cities" ], "properties": { "professions": { "title": "Choose professions", "uniqueItems": true, "type": "array", "description": "Choose professions in order to scrape data.", "items": { "type": "string", "enum": [ "medico-di-medicina-generale", "ginecologo", "ortopedico", "dermatologo", "nutrizionista", "psicologo", "oculista", "urologo", "otorinolaringoiatra", "cardiologo", "chirurgo", "osteopata", "internista", "medico-estetico", "endocrinologo", "gastroenterologo", "neurologo", "neurochirurgo", "fisioterapista", "chirurgo-plastico", "psichiatra", "psicoterapeuta", "pediatra", "podologo", "reumatologo", "pneumologo", "fisiatra", "chirurgo-vascolare", "dietista", "andrologo", "allergologo-immunologo", "radiologo-diagnostico", "radiologo-interventista", "proctologo", "angiologo", "ematologo", "senologo", "dietologo", "geriatra", "agopuntore", "medico-dello-sport", "oncologo", "psicologo-clinico", "nefrologo", "pediatra-di-libera-scelta", "diabetologo", "logopedista", "chiropratico", "cardiochirurgo", "chirurgo-maxillo-facciale", "medico-legale", "ortodontista", "neuropsichiatra-infantile", "anestesista", "chirurgo-estetico", "ostetrica", "terapista-del-dolore", "medico-competente", "omeopata", "infettivologo", "sessuologo", "chirurgo-toracico", "ecografista", "chirurgo-pediatrico", "posturologo", "tecnico-sanitario", "terapeuta", "tricologo", "immunologo", "igienista-dentale", "foniatra", "medico-certificatore", "medico-genetista", "biologo-della-riproduzione", "neuropsicologo", "anatomapatologo", "infermiere", "radioterapista", "medico-nucleare", "donazione-sangue", "chinesiologo", "stomatologo", "tecnico-radiologo", "analista-clinico", "tecnico-audioprotesista", "dermatologo-veneorologo", "ortodontoiatra-forense", "ortodontoiatra-pediatrico" ] } }, "cities": { "title": "Enter cities", "type": "array", "description": "Enter the cities for scraping, separated by commas.", "items": { "type": "string" } }, "include_slots": { "title": "Appointment Slot", "type": "boolean", "description": "Get appointment slots" }, "additional_info": { "title": "Doctor html page", "type": "boolean", "description": "Get additional info from doctor html page" }, "days_ahead": { "title": "Appointments Slot Days ahead", "maximum": 60, "type": "integer", "description": "N° of days to get appointment slots", "default": 30 } } }, "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": 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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:
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