{ "openapi": "3.0.1", "info": { "title": "TikTok Shop Winning Products", "description": "Find fast-growing TikTok Shop products in Germany using sales from the last 24h and 7 days, total sold count, 7-day growth, trend, score, and days on TikTok Shop. Ideal for product research, trend discovery, and e-commerce analysis.", "version": "0.0", "x-build-id": "HadhOw28lOlfG8DN4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lugubrious_penguin~TikTok-Shop-Winning-Products-Lite/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lugubrious_penguin-TikTok-Shop-Winning-Products-Lite", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lugubrious_penguin~TikTok-Shop-Winning-Products-Lite/runs": { "post": { "operationId": "runs-sync-lugubrious_penguin-TikTok-Shop-Winning-Products-Lite", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lugubrious_penguin~TikTok-Shop-Winning-Products-Lite/run-sync": { "post": { "operationId": "run-sync-lugubrious_penguin-TikTok-Shop-Winning-Products-Lite", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "region", "keywords" ], "properties": { "region": { "title": "Region", "enum": [ "DE", "US", "GB", "ID", "TH", "VN", "PH", "MY", "SG", "JP", "MX", "IT", "FR", "ES", "BR" ], "type": "string", "description": "TikTok Shop market.", "default": "DE" }, "keywords": { "title": "Keywords", "type": "array", "description": "Search terms. Use broad terms for better overlap between the lifetime-sales source and market-intelligence source.", "items": { "type": "string" }, "default": [ "Beauty", "Elektronik", "Haushalt" ] }, "categories": { "title": "Categories / extra search terms", "type": "array", "description": "Optional additional TikTok category names or broad category terms. They are also searched as keywords to improve soldCount matching.", "items": { "type": "string" }, "default": [] }, "searchActorId": { "title": "Lifetime sold-count Actor", "type": "string", "description": "Actor used to obtain cumulative soldCount and product URL.", "default": "getanyapi/tiktok-shop-scraper" }, "marketActorId": { "title": "Recent market-intelligence Actor", "type": "string", "description": "Actor used to obtain sold24h, sold7d, 7-day growth and launch date.", "default": "lergassy/tiktok-shop-top-products-scraper" }, "maxSearchItemsPerQuery": { "title": "Max lifetime-search products per query", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum AnyAPI products requested for each search term.", "default": 10 }, "maxMarketItemsPerQuery": { "title": "Max market products per query", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum recent-market products requested for each term and each period (24h and 7d).", "default": 10 }, "maxConcurrentExternalCalls": { "title": "Parallel external calls", "minimum": 1, "maximum": 12, "type": "integer", "description": "Maximum external Actor calls running at the same time. 4-6 is recommended.", "default": 4 }, "maxOutputProducts": { "title": "Max output products", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of final rows.", "default": 30 }, "requireCompleteRows": { "title": "Only complete rows", "type": "boolean", "description": "When enabled, output only products where all requested fields are available.", "default": false }, "minSold24h": { "title": "Minimum sold 24h", "minimum": 0, "type": "integer", "description": "Minimum units sold in the last 24 hours. Zero disables the filter.", "default": 0 }, "minSold7d": { "title": "Minimum sold 7d", "minimum": 0, "type": "integer", "description": "Minimum units sold in the last 7 days. Zero disables the filter.", "default": 0 }, "minSoldCount": { "title": "Minimum lifetime soldCount", "minimum": 0, "type": "integer", "description": "Minimum cumulative TikTok sold count. Zero disables the filter.", "default": 0 }, "minGrowth7d": { "title": "Minimum growth 7d %", "type": "number", "description": "Minimum 7-day market revenue growth percentage. Use a negative number to allow declining products.", "default": -1000 }, "minScore": { "title": "Minimum score", "minimum": 0, "maximum": 100, "type": "number", "description": "Minimum opportunity score from 0 to 100.", "default": 0 }, "maxDaysOnTikTokShop": { "title": "Maximum days on TikTok Shop", "minimum": 0, "type": "integer", "description": "Optional new-product filter. Zero disables it; for example 90 keeps products launched within about 90 days.", "default": 0 }, "sortBy": { "title": "Sort results by", "enum": [ "score", "sold24h", "sold7d", "soldCount", "growth7d", "daysOnTikTokShop" ], "type": "string", "description": "Metric used to order the final output.", "default": "score" } } }, "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 } } } } } } } } } }