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Each topic is translated into Kaggle's own taxonomy tag ids and pushed server-side, so only relevant competitions are downloaded. Leave empty (the default) for no topic restriction - every competition is returned and classified.", "items": { "type": "string", "enum": [ "computer_vision", "nlp", "time_series", "tabular", "audio", "recommendation", "reinforcement_learning", "multimodal", "other" ], "enumTitles": [ "Computer Vision", "Natural Language Processing", "Time Series", "Tabular", "Audio", "Recommendation Systems", "Reinforcement Learning", "Multimodal", "Other / uncategorized" ] }, "default": [] }, "statuses": { "title": "Competition status", "type": "array", "description": "Which competition statuses to return. \"active\" and \"completed\" are pushed server-side via Kaggle's list filter. \"unknown\" (no reliable deadline) can only be found locally and forces a wider scan.", "items": { "type": "string", "enum": [ "active", "completed", "unknown" ], "enumTitles": [ "Active (still open)", "Completed", "Unknown (status undeterminable)" ] }, "default": [ "active" ] }, "taskTypes": { "title": "Task types", "type": "array", "description": "Optional normalized task types. A competition is returned when it matches at least one. Applied locally, after Kaggle-side narrowing. Leave empty to include all task types.", "items": { "type": "string", "enum": [ "classification", "object_detection", "semantic_segmentation", "instance_segmentation", "object_tracking", "ocr", "image_matching", "image_retrieval", "pose_estimation", "depth_estimation", "image_restoration", "super_resolution", "image_generation", "video_understanding", "text_classification", "token_classification", "sentiment_analysis", "question_answering", "summarization", "translation", "information_extraction", "retrieval", "text_generation", "forecasting", "anomaly_detection", "time_series_classification", "temporal_regression", "event_prediction", "tabular_classification", "tabular_regression", "ranking", "audio_classification", "speech_recognition", "speaker_recognition", "audio_generation", "recommendation", "reinforcement_learning", "multimodal_reasoning", "vision_language", "image_text", "audio_text", "medical_imaging", "other_ml" ], "enumTitles": [ "CV - Classification", "CV - Object detection", "CV - Semantic segmentation", "CV - Instance segmentation", "CV - Object tracking", "CV - OCR / text recognition", "CV - Image matching", "CV - Image retrieval", "CV - Pose estimation", "CV - Depth estimation", "CV - Image restoration", "CV - Super resolution", "CV - Image generation", "CV - Video understanding", "NLP - Text classification", "NLP - Token classification", "NLP - Sentiment analysis", "NLP - Question answering", "NLP - Summarization", "NLP - Translation", "NLP - Information extraction", "NLP - Retrieval", "NLP - Text generation", "Time series - Forecasting", "Time series - Anomaly detection", "Time series - Classification", "Time series - Temporal regression", "Time series - Event prediction", "Tabular - Classification", "Tabular - Regression", "Tabular - Ranking", "Audio - Classification", "Audio - Speech recognition", "Audio - Speaker recognition", "Audio - Generation", "Recommendation", "Reinforcement learning", "Multimodal - Reasoning", "Multimodal - Vision language", "Multimodal - Image text", "Multimodal - Audio text", "Medical imaging", "Other / unclassified" ] }, "default": [] }, "dateField": { "title": "Date field", "enum": [ "deadline", "launched" ], "type": "string", "description": "Which date the range below applies to. \"deadline\" is the competition deadline; \"launched\" is Kaggle's launch timestamp (its `dateEnabled` field).", "default": "deadline" }, "dateFrom": { "title": "Date from", "type": "string", "description": "Inclusive lower bound, e.g. \"2024-01-01\". Kaggle supports no server-side date filtering, so this is applied locally after narrowing. Leave empty for no lower bound." }, "dateTo": { "title": "Date to", "type": "string", "description": "Inclusive upper bound, e.g. \"2026-12-31\". Applied locally. Leave empty for no upper bound." }, "keywords": { "title": "Keywords", "type": "array", "description": "Optional free-text terms, e.g. \"satellite\", \"medical\". Pushed server-side via Kaggle's search, then re-checked locally. Note that Kaggle's search index also covers community competitions outside the main public list.", "default": [], "items": { "type": "string" } }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "deadline_asc", "deadline_desc", "newest", "oldest", "prize_desc" ], "type": "string", "description": "Kaggle supports no server-side sorting, so ordering is applied locally after retrieval. \"relevance\" keeps Kaggle's own ordering and allows the run to stop early once maxItems is reached.", "default": "relevance" }, "maxItems": { "title": "Maximum items", "minimum": 1, "type": "integer", "description": "Maximum number of dataset rows to produce. Leave empty for no artificial limit.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify Proxy settings. Kaggle's public endpoint currently answers direct requests, but a proxy helps if you hit rate limits or a regional block.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } }