Sreality scraper
Pricing
$15.00/month + usage
Go to Apify Store
Sreality scraper
Fast and efficient sreality.cz actor. The script get all offers (according to the selected input). Reworked and updated to new version
Sreality scraper
Pricing
$15.00/month + usage
Fast and efficient sreality.cz actor. The script get all offers (according to the selected input). Reworked and updated to new version
You can access the Sreality 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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Leave empty to scrape all supported areas.", "items": { "type": "string", "enum": [ "praha", "stredocesky-kraj", "jihocesky-kraj", "jihomoravsky-kraj", "karlovarsky-kraj", "kralovehradecky-kraj", "liberecky-kraj", "moravskoslezsky-kraj", "olomoucky-kraj", "pardubicky-kraj", "plzensky-kraj", "ustecky-kraj", "vysocina-kraj", "zlinsky-kraj" ] } }, "CATEGORIES": { "title": "Categories (optional)", "type": "array", "description": "Listing categories. English and Czech Sreality slugs are accepted. Leave empty to include all categories.", "items": { "type": "string", "enum": [ "to-rent", "for-sale", "auction", "shares" ] } }, "SUBCATEGORIES": { "title": "Property categories (optional)", "type": "array", "description": "Main property categories. English and Czech Sreality slugs are accepted. Leave empty to include all property categories.", "items": { "type": "string", "enum": [ "apartments", "houses", "commercial-properties", "lands", "other-real-estates" ] } }, "PROPERTY_TYPES": { "title": "Property types (optional)", "type": "array", "description": "Detailed property type slugs, such as apartment layouts, house types, land types, and commercial property types. English and Czech Sreality slugs are accepted. Leave empty to include all supported property types for the selected categories.", "items": { "type": "string", "enum": [ "1+1", "1+kt", "2+1", "2+kt", "3+1", "3+kt", "4+1", "4+kt", "5+1", "5+kt", "6-and-more", "apartment-buildings", "apartments", "attics", "pudni-prostory", "building-plots", "commercial-parcels", "cottages", "chalupy", "family-houses", "farm-buildings", "farm-lands", "farms", "flatshare", "forests", "garages", "gardens", "historical-properties", "hotels-accommodation-businesses", "huts", "meadows", "mobile-homes", "multi-family-houses", "office-spaces", "other-commercial-buildings", "other-lands", "other-properties", "parking-places", "ponds", "production-halls", "projects", "restaurants", "retail-spaces", "surgeries", "unusual", "villas", "vineyards", "virtual-offices", "warehouses", "wine-cellars" ] } }, "GET_DETAILS": { "title": "Fetch listing details (optional)", "type": "boolean", "description": "Fetch each listing detail JSON and append fields such as description, premise, seller, videos, rus, isExclusively, and params.", "default": false }, "LANGUAGE_EN": { "title": "Use English URLs", "type": "boolean", "description": "When true, request English Sreality search pages and output English detail URLs. When false, request Czech pages and output Czech detail URLs.", "default": true }, "IGNORE": { "title": "Ignored output fields", "type": "array", "description": "Dot-separated output field paths to remove from each saved dataset item.", "items": { "type": "string" } }, "TELEGRAM_BOT_TOKEN": { "title": "Telegram bot token (optional)", "type": "string", "description": "Optional Telegram bot token. When provided with TELEGRAM_CHAT_ID, the actor sends a scrape completion message." }, "TELEGRAM_CHAT_ID": { "title": "Telegram chat ID (optional)", "type": "string", "description": "Optional Telegram chat ID. When provided with TELEGRAM_BOT_TOKEN, the actor sends a scrape completion message." } } }, "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": { "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": "number", "example": 0.00005 }, "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 } } } } } } } } }}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.
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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.
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