Google Shopping Scraper
Pricing
from $3.00 / 1,000 results
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Google Shopping Scraper
Google Shopping and Google Lens scraper for price comparison, competitor research and product discovery across 49 countries.
Google Shopping Scraper
Pricing
from $3.00 / 1,000 results
Google Shopping and Google Lens scraper for price comparison, competitor research and product discovery across 49 countries.
You can access the Google Shopping 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 API & Integrations in Apify Console.
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Each query is scraped separately. Optional when image inputs are provided.", "items": { "type": "string" } }, "country": { "title": "Country", "enum": [ "US", "GB", "CA", "AU", "DE", "FR", "IT", "ES", "NL", "BE", "AT", "CH", "IE", "PT", "SE", "NO", "DK", "FI", "PL", "CZ", "HU", "RO", "GR", "TR", "UA", "RU", "JP", "KR", "IN", "SG", "HK", "TW", "MY", "TH", "PH", "ID", "VN", "NZ", "BR", "MX", "AR", "CL", "CO", "PE", "ZA", "AE", "SA", "IL" ], "type": "string", "description": "Select the Google Shopping country (gl parameter).", "default": "US" }, "language": { "title": "Language", "enum": [ "en", "de", "fr", "es", "it", "nl", "pt", "pl", "cs", "hu", "ro", "el", "tr", "uk", "ru", "ja", "ko", "hi", "zh-CN", "zh-TW", "th", "vi", "id", "ms", "sv", "no", "da", "fi", "ar", "he" ], "type": "string", "description": "Select the Google interface language (hl parameter).", "default": "en" }, "maxResults": { "title": "Max results", "minimum": 40, "maximum": 1000, "type": "integer", "description": "Stop after this many unique products per query. Keep low for testing.", "default": 40 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 16, "type": "integer", "description": "Maximum simultaneous searches. Text searches may use the full limit; image searches are capped at 3. Lower this if Google challenges increase.", "default": 8 }, "image": { "title": "Upload image", "type": "string", "description": "Upload one PNG, JPG, GIF, or WebP product image. A public URL is also accepted." }, "imageUrl": { "title": "Image URL", "pattern": "^https?://", "type": "string", "description": "Single public product image URL for search-by-image." }, "imageUrls": { "title": "Image URLs", "minItems": 1, "type": "array", "description": "Public image URLs to process.", "items": { "type": "string", "pattern": "^https?://" } }, "imagesBase64": { "title": "Base64 images", "minItems": 1, "type": "array", "description": "Raw base64 strings or data:image/...;base64,... URIs.", "items": { "type": "string" } }, "imageKvsRecords": { "title": "Key-value store images", "minItems": 1, "type": "array", "description": "KVS references. Omit key to process all binary records in the store.", "items": { "type": "object", "properties": { "storeId": { "title": "Store ID", "type": "string", "description": "Apify key-value store ID; omit for the default store." }, "key": { "title": "Record key", "type": "string", "description": "Binary image record key; omit to process all binary records." } }, "additionalProperties": false } }, "imageSearchMode": { "title": "Image search mode", "enum": [ "identifyAndShop", "lensProducts" ], "type": "string", "description": "identifyAndShop: recognize the product via Lens, then scrape Google Shopping. lensProducts: return Lens Products cards directly.", "default": "identifyAndShop" }, "fallbackText": { "title": "Image fallback text", "type": "string", "description": "Optional descriptive query used if Lens visual-search context cannot be preserved." } } }, "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.
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 Google Shopping Scraper from the options below:
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