# TikTok Shop Product Analytics (`datamagnet/tiktok-shop-product-analytics`) Actor Get a clean, analytics-enriched list of products from a TikTok Shop seller. Easily review sales performance, recent trends, and key product metrics in a simple format. - **URL**: https://apify.com/datamagnet/tiktok-shop-product-analytics.md - **Developed by:** [Datamagnet](https://apify.com/datamagnet) (community) - **Categories:** E-commerce, Social media - **Stats:** 2 total users, 1 monthly users, 63.6% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $15.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## TikTok Shop Seller Products Enriched Get a clean, easy-to-read list of a TikTok Shop seller’s products with sales performance details. ### What it does - Shows your seller’s products in a simple store-friendly format. - Includes useful performance details like sales count, sales value, average price, and recent 7-day results. - Lets you choose how products are sorted. - Automatically keeps fetching more products until your requested limit is reached. - Helps you quickly spot top-performing products without digging through raw data. ### Use cases - Check which products are bringing in the most sales so you can focus on your best sellers. - Compare product performance across your catalog to spot items that may need better pricing or promotion. - Review recent 7-day sales to see whether a product is gaining momentum or slowing down. ### Input | Field | Description | Required | Example | |---|---|---:|---| | max_results | Maximum number of products to return. | No | 100 | | seller_id | The TikTok Shop seller ID to fetch products for. | Yes | 7494089513770779735 | | sort_by | Choose how to sort the product list. You can use a field name or its matching number. | No | 1 | | sort_order | Choose whether results should be sorted ascending or descending. | No | desc | ### Output | Field | Description | |---|---| | product_name | The product title shown in the shop. | | product_id | The unique ID of the product. | | seller_id | The seller ID the product belongs to. | | total_sales_count | Total number of units sold. | | total_sales_value | Total sales value for the product. | | average_price | Average selling price per unit. | | sales_7d_count | Number of units sold in the last 7 days. | | sales_7d_value | Sales value from the last 7 days. | | currency | Currency used for the sales values. | | category_name | Category name, if available. | | category_id | Category ID, if available. | | status | Product status, if available. | | image_url | Product image data or image links. | | product_url | Product page link, if available. | | raw_metrics | Extra performance metrics such as views, shares, diggs, and orders. | ### Sample output ```json { "product_name": "PONS Bildwörterbuch Persisch / 16.000 Wörter und Wendungen mit kulturspezifischem Sonderteil / Taschenbuch / Kartoniert Broschiert / Deutsch / 2021 / PONS / EAN 9783125162426", "product_id": "1729514239896361740", "seller_id": "7496107241529510668", "total_sales_count": 97, "total_sales_value": 1460.08, "average_price": 14.95, "sales_7d_count": 0, "sales_7d_value": 0, "currency": "USD", "category_name": null, "category_id": "801928", "status": null, "image_url": "[{ \"url\":\"https://echosell-images.tos-ap-southeast-1.volces.com/product-cover/269/1729514239896361740_3.jpeg\",\"index\":3},{ \"url\":\"https://echosell-images.tos-ap-southeast-1.volces.com/product-cover/269/1729514239896361740_2.jpeg\",\"index\":2},{ \"url\":\"https://echosell-images.tos-ap-southeast-1.volces.com/product-cover/269/1729514239896361740_1.jpeg\",\"index\":1}]", "product_url": null, "raw_metrics": { "views": 353730, "views_7d": 0, "diggs": 0, "shares": 0, "orders": 0 } } ```` # Actor input Schema ## `sort_by` (type: `string`): Choose how to sort the product list. Use a field name or its matching number: 1 = total sales count, 2 = total sales value, 3 = average price, 4 = sales in the last 7 days, 5 = sales value in the last 7 days. ## `seller_id` (type: `string`): The TikTok Shop seller ID to fetch products for. ## `sort_order` (type: `string`): Choose whether results should be sorted ascending or descending. ## `max_results` (type: `integer`): Maximum number of products to return. ## Actor input object example ```json { "sort_by": "1", "seller_id": "7494089513770779735", "sort_order": "desc", "max_results": 10 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "seller_id": "7494089513770779735" }; // Run the Actor and wait for it to finish const run = await client.actor("datamagnet/tiktok-shop-product-analytics").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "seller_id": "7494089513770779735" } # Run the Actor and wait for it to finish run = client.actor("datamagnet/tiktok-shop-product-analytics").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "seller_id": "7494089513770779735" }' | apify call datamagnet/tiktok-shop-product-analytics --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datamagnet/tiktok-shop-product-analytics", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Shop Product Analytics", "description": "Get a clean, analytics-enriched list of products from a TikTok Shop seller. Easily review sales performance, recent trends, and key product metrics in a simple format.", "version": "0.0", "x-build-id": "7MobeSToT74ineqP7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datamagnet~tiktok-shop-product-analytics/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datamagnet-tiktok-shop-product-analytics", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datamagnet~tiktok-shop-product-analytics/runs": { "post": { "operationId": "runs-sync-datamagnet-tiktok-shop-product-analytics", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datamagnet~tiktok-shop-product-analytics/run-sync": { "post": { "operationId": "run-sync-datamagnet-tiktok-shop-product-analytics", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "seller_id" ], "properties": { "sort_by": { "title": "Sort by", "enum": [ "1", "2", "3", "4", "5", "total_sale_cnt", "total_sale_gmv_amt", "spu_avg_price", "total_sale_7d_cnt", "total_sale_gmv_7d_amt" ], "type": "string", "description": "Choose how to sort the product list. Use a field name or its matching number: 1 = total sales count, 2 = total sales value, 3 = average price, 4 = sales in the last 7 days, 5 = sales value in the last 7 days.", "default": "1" }, "seller_id": { "title": "Seller ID", "type": "string", "description": "The TikTok Shop seller ID to fetch products for." }, "sort_order": { "title": "Sort order", "enum": [ "asc", "desc", "ascending", "descending", "0", "1" ], "type": "string", "description": "Choose whether results should be sorted ascending or descending.", "default": "desc" }, "max_results": { "title": "Maximum results", "type": "integer", "description": "Maximum number of products to return.", "default": 100 } } }, "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 } } } } } } } } } } ```