## Json `generate.json(GenerateJsonParams**kwargs) -> GenerateJsonResponse` **post** `/generate/json` Fetches URL content, extracts data, and transforms it using AI based on custom instructions. Use this to generate new content, summaries, or restructured data. ### Parameters - `instructions: str` Instructions describing how to transform the data - `json_schema: object` JSON schema defining the structure of the transformed output - `url: str` URL to fetch content from - `effort: Optional[Literal["min", "standard", "max"]]` Fetch effort level controlling speed vs. capability tradeoff. "min": fastest, no fallback (1-5s). "standard": balanced with enhanced reliability (default, 3-15s). "max": full browser rendering for JS-heavy sites (15-60s). - `"min"` - `"standard"` - `"max"` - `geo_target: Optional[GeoTarget]` Optional geotargeting parameters for proxy requests - `country: Optional[str]` Country code using ISO 3166-1 alpha-2 standard (2 letters, e.g., "US", "GB", "JP"). See: https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2 - `nocache: Optional[bool]` Bypass cache and force fresh data retrieval ### Returns - `Dict[str, object]` ### Example ```python import os from tabstack import Tabstack client = Tabstack( api_key=os.environ.get("TABSTACK_API_KEY"), # This is the default and can be omitted ) response = client.generate.json( instructions="For each story, categorize it (tech/business/science/other) and write a one-sentence summary explaining what it's about in simple terms.", json_schema={ "properties": { "summaries": { "items": { "properties": { "category": { "description": "Story category (tech/business/science/etc)", "type": "string", }, "summary": { "description": "One-sentence summary of the story", "type": "string", }, "title": { "description": "Story title", "type": "string", }, }, "type": "object", }, "type": "array", } }, "type": "object", }, url="https://news.ycombinator.com", ) print(response) ```