Google Translate Scraper Pro
Pricing
$15.00/month + usage
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Google Translate Scraper Pro
Google Translate Scraper Pro lets you bulk-translate text using Google Translate. Simply provide source and target languages along with text input, and get clean JSON output with original and translated text. Ideal for localization, automation, or NLP workflows.
0.0 (0)
Pricing
$15.00/month + usage
0
Total users
1
Monthly users
1
Runs succeeded
>99%
Last modified
4 days ago
You can access the Google Translate Scraper Pro programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
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"requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "texts" ], "properties": { "texts": { "title": "Input Texts", "type": "array", "description": "Texts to translate", "default": [ "์ค์๋ชฐ ์ด๋ฎจ ๋ฉํฐ๋นํ๋ฏผ, 30ํ๋ถ, 1๊ฐ" ], "items": { "type": "string" } }, "source_lang": { "title": "Source Language", "enum": [ "ko", "en", "ne", "ja", "zh", "es", "fr", "de", "hi", "ar", "pt", "ru", "it", "nl", "bn", "ur", "sw", "vi", "tr", "th", "ta", "te", "mr", "gu", "pa", "kn", "ml", "or", "as", "si", "fa", "pl", "uk", "ro", "cs", "hu", "sk", "hr", "sr", "sl", "bg", "el", "he", "id", "ms", "tl", "km", "lo", "my", "dz", "am", "ti", "so", "ha", "yo", "ig", "zu", "xh", "af", "sq", "hy", "az", "eu", "be", "bs", "ca", "ceb", "ny", "co", "da", "eo", "et", "fi", "gl", "ka", "ht", "haw", "is", "ga", "jv", "kk", "ky", "lb", "lt", "lv", "mg", "mk", "mt", "mn", "no", "ps", "sm", "sn", "sd", "su", "sv", "tg", "tk", "uz", "yi", "br", "cy", "fo", "fy", "gd", "gn", "iu", "kl", "ku", "la", "mi", "na", "om", "qu", "rw", "sa", "sc", "st", "to", "tt", "ug", "vo", "wo", "brx", "doi", "kok", "mai", "mni", "sat", "ts", "ak", "bm", "dv", "ee", "ff", "lg", "gv", "ki", "kj", "ln", "lu", "mh", "ni", "oj", "os", "pi", "rm", "sg", "tw", "ty", "ve", "wa", "ace", "ban", "ch", "ce", "prs", "hmn", "ilo", "kaa", "kjh", "ast", "av", "cv", "kw", "crh", "myv", "fur", "inh", "kv", "mhr", "oc", "pmk", "se", "sco", "scn", "szl", "vec", "vot", "ay", "chr", "cr", "arn", "nah", "jiv", "tup", "fj", "gil", "niu", "pau", "rtm", "tpi", "arc", "ia", "lfn", "rom", "bem", "din", "hz", "kr", "kg", "luy", "nd", "ss", "tn" ], "type": "string", "description": "Select the court type", "default": "ko" }, "target_lang": { "title": "Target Language", "enum": [ "ko", "en", "ne", "ja", "zh", "es", "fr", "de", "hi", "ar", "pt", "ru", "it", "nl", "bn", "ur", "sw", "vi", "tr", "th", "ta", "te", "mr", "gu", "pa", "kn", "ml", "or", "as", "si", "fa", "pl", "uk", "ro", "cs", "hu", "sk", "hr", "sr", "sl", "bg", "el", "he", "id", "ms", "tl", "km", "lo", "my", "dz", "am", "ti", "so", "ha", "yo", "ig", "zu", "xh", "af", "sq", "hy", "az", "eu", "be", "bs", "ca", "ceb", "ny", "co", "da", "eo", "et", "fi", "gl", "ka", "ht", "haw", "is", "ga", "jv", "kk", "ky", "lb", "lt", "lv", "mg", "mk", "mt", "mn", "no", "ps", "sm", "sn", "sd", "su", "sv", "tg", "tk", "uz", "yi", "br", "cy", "fo", "fy", "gd", "gn", "iu", "kl", "ku", "la", "mi", "na", "om", "qu", "rw", "sa", "sc", "st", "to", "tt", "ug", "vo", "wo", "brx", "doi", "kok", "mai", "mni", "sat", "ts", "ak", "bm", "dv", "ee", "ff", "lg", "gv", "ki", "kj", "ln", "lu", "mh", "ni", "oj", "os", "pi", "rm", "sg", "tw", "ty", "ve", 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"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 } } } } } } } } }}Google Translate Scraper Pro 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 Google Translate Scraper Pro from the options below:
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