X/Twitter to Chinese Social Post Generator
Pricing
$50.00 / 1,000 post drafts
X/Twitter to Chinese Social Post Generator
Pricing
$50.00 / 1,000 post drafts
You can access the X/Twitter to Chinese Social Post Generator 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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Required as a field. Leave it empty only when handles or a search keyword is set.", "items": { "type": "string" } }, "handles": { "title": "X handles", "type": "array", "description": "Optional handles, with or without @. Each handle is read by the Store scraper, up to maxItems posts. This uses the Apify token injected on the platform, never an X cookie.", "default": [], "items": { "type": "string" } }, "searchKeyword": { "title": "Search keyword", "type": "string", "description": "Optional X search keyword. Results come from the Store scraper and are capped by maxItems.", "default": "" }, "maxItems": { "title": "Max items per handle or search", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum posts to keep from each handle and from the search keyword. The default Store actor still requests at least 20 rows upstream and may bill those rows.", "default": 10 }, "styles": { "title": "Target styles", "type": "array", "description": "Platforms to draft for. Defaults to all three. Nothing is published.", "items": { "type": "string", "enum": [ "weibo", "toutiao", "xiaohongshu" ], "enumTitles": [ "Weibo", "Toutiao", "Xiaohongshu" ] }, "default": [ "weibo", "toutiao", "xiaohongshu" ] }, "llmApiKey": { "title": "LLM API key", "type": "string", "description": "Your own OpenAI-compatible API key. Stored as a secret input. It is sent only to llmBaseUrl and is never written to the dataset or the logs." }, "llmBaseUrl": { "title": "LLM base URL", "type": "string", "description": "OpenAI-compatible base URL. The key is sent as a Bearer token to {base}/chat/completions.", "default": "https://api.openai.com/v1" }, "llmModel": { "title": "LLM model", "type": "string", "description": "Model name accepted by llmBaseUrl.", "default": "gpt-4o-mini" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify proxy used only for no-login extraction HTTP calls. It is never paired with X cookies." }, "skipGeneration": { "title": "Skip generation", "type": "boolean", "description": "Extraction-only mode. Writes source fields and risk flags, does not call the LLM, and does not charge post-draft.", "default": false }, "extractor": { "title": "Extractor", "enum": [ "auto", "syndication", "store" ], "type": "string", "description": "auto tries the no-login embed first and uses the Store actor for failures, handles, and search. syndication never calls the Store actor. store always calls it.", "default": "auto" }, "xScraperActorId": { "title": "Store scraper actor", "type": "string", "description": "Apify Store actor used for handles, search, and status-URL fallback. The default is a pay-per-result X scraper that does not need an X login. Change this only if the replacement accepts tweetIDs, from, twitterContent, searchTerms, and maxItems.", "default": "kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest" } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "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 X/Twitter to Chinese Social Post Generator from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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