# TikTok Shop Scraper - Products, Sales & Trending Intelligence (`webdatalabs/tiktok-shop-intelligence`) Actor Scrape TikTok Shop products by search, URL, shop or category. Get price, sold count, rating, reviews, SKUs + estimated monthly sales, revenue & trending score. Export CSV/JSON. - **URL**: https://apify.com/webdatalabs/tiktok-shop-intelligence.md - **Developed by:** [WebDataLabs](https://apify.com/webdatalabs) (community) - **Categories:** E-commerce, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $7.00 / 1,000 product scrapeds 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 Scraper - Products, Sales & Trending Intelligence Scrape TikTok Shop by **category, product URL, or shop** and get pricing, units sold, ratings, reviews, SKUs, images, and full seller data — **plus estimated monthly sales, monthly revenue, and a trending score**. The premium TikTok Shop research tool for dropshippers, sellers, and agencies who want sales *velocity*, not just a snapshot. Export to CSV, JSON, Excel, or Google Sheets. [![Apify Actor](https://img.shields.io/badge/Apify-Actor-0084FF?logo=apify)](https://apify.com/webdatalabs/tiktok-shop-intelligence) [![Maintained](https://img.shields.io/badge/Maintained-Yes-success)](https://github.com/webdatalabs) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) > ⚙️ **To get monthly sales + trending, two things are required (one-time):** > 1. **Run with full permissions** (this Actor asks for them) — needed so it can persist its cross-run snapshot store. > 2. **Run it on a schedule** (daily or weekly). Monthly sales & trending are computed from the *change* in units sold between runs, so they appear on the **2nd+ run**, not the first. > > Just need a one-off scrape (products, prices, units sold, lifetime revenue, sellers)? Use our lighter **[TikTok Shop Scraper](https://apify.com/webdatalabs/tiktok-shop-scraper)** instead. ### What can you do with it? - **Find winning products by momentum** — not just total units sold, but how fast they're selling *now* (trending score) - **Estimate monthly sales & revenue** per product — the metric paid analytics suites charge a subscription for - **Track competitors over time** — a shop's catalog, ratings, followers, and sales velocity - **Price & inventory monitoring** — prices, discounts, SKU-level variants - **Automation** — feed everything into n8n, Make, Zapier, or Google Sheets ### Three ways to scrape | Mode | You provide | Best for | |------|-------------|----------| | 🗂️ **Category** | Category slug/URL | Winning-product discovery & market research | | 📦 **Product** | Product URLs | Deep data on specific products (variants, reviews, full shop) | | 🏪 **Shop** | Store URLs | Competitor catalog & shop-level stats | ### What data do you get? Every product record includes: - **productId, productTitle, productUrl, currentPrice, originalPrice, discount, currency** - **soldCount** — cumulative units sold since launch (every run) - **estimatedRevenue** — lifetime revenue estimate (every run) - **estimatedMonthlySales, estimatedMonthlyRevenue, trendingScore** — sales velocity *(appears once snapshot history exists — see setup above)* - **rating, reviewCount, images** - **shopName, shop** — full shop object (rating, total products, follower count, store URL) - **variants** — SKUs with per-variant price, stock, attributes (product/shop modes) - **reviews** — sample of recent reviews (product mode) - **scrapedAt** ### How the sales intelligence works (honest method) TikTok shows **cumulative** units sold, not a monthly figure — so monthly sales can't be derived from one snapshot, and we never fake one. Instead, this Actor stores a snapshot of units sold each run and computes the delta: - 1st run → cumulative `soldCount` + lifetime `estimatedRevenue`. Monthly/trending are omitted (no history yet). - 2nd run → `estimatedMonthlySales` + `estimatedMonthlyRevenue` from `(soldDelta / daysElapsed) × 30` (`salesDataStatus: "estimated_from_delta"`). - 3rd+ run → `trendingScore` (0–100, 50 = steady) from sales-velocity acceleration. Space scheduled runs **≥12h apart** for stable estimates. ### Setup (one-time) 1. **Permissions:** when prompted, allow **full permissions** (required to persist the snapshot store). 2. **Schedule:** open the Actor → **Schedule** → daily or weekly, with your input (a category, product URLs, or a shop). 3. After the 2nd run, open the **Sales Intelligence** / **Trending** dataset tabs — the velocity fields will be populated. ### Input | Field | Description | |---|---| | `mode` | `category` \| `product` \| `shop` | | `categoryUrls` / `productUrls` / `shopUrls` | The targets for your chosen mode (category accepts a `slug/id` shorthand, e.g. `beauty-personal-care/601450`) | | `maxResults` | Max products to return (1–2000) | | `proxyConfiguration` | US residential proxies (required; default is correct) | ### Output example (on a scheduled run with history) ```json { "productId": "1730986220018765913", "productTitle": "Advanced Hair Density Roll-On Serum", "currentPrice": 30, "currency": "USD", "soldCount": 477547, "estimatedRevenue": 14326410, "estimatedMonthlySales": 8200, "estimatedMonthlyRevenue": 246000, "trendingScore": 63, "salesDataStatus": "estimated_from_delta", "rating": 4.2, "reviewCount": 19254, "images": ["https://..."], "shopName": "RootLabs", "shop": { "rating": 4.4, "totalProducts": 18, "followerCount": 65074, "shopUrl": "https://shop.tiktok.com/us/store/rootlabs/..." }, "variants": [{ "skuId": "...", "name": "1 Pack", "price": 30, "stock": null, "attributes": {} }], "scrapedAt": "2026-06-30T10:00:00.000Z" } ```` ### Pricing Pay-per-event: a per-run start fee + a charge per product scraped. Predictable, no subscription. ### Reliability & proxies TikTok Shop has strong anti-bot protection. The Actor warms up a verified session, solves the verification challenge, and rotates US residential proxies automatically. **US residential proxies are required** (default). If a run is fully blocked it exits **with a clear error** — it never reports success with no data. ### FAQ **I scheduled it but still see no monthly sales/trending.** They appear on the **2nd+ run** (need a prior snapshot) and only with **full permissions** enabled. Space runs ≥12h apart. **Difference vs the standard TikTok Shop Scraper?** Same data + the **sales-velocity layer** (monthly sales, monthly revenue, trending). If you don't need velocity, the standard scraper is simpler and needs no special permissions. **Which region?** United States. **Is this legal?** It collects public, commercial product/shop data (not personal creator data). You're responsible for complying with TikTok's Terms and your local laws. ### Leave a review Is this actor saving you time? A quick review on the Store helps other people find it — and tells us which fields to add next. **[Rate this actor →](https://apify.com/webdatalabs/tiktok-shop-intelligence)** # Actor input Schema ## `mode` (type: `string`): What to scrape. Fill in the matching field below for your chosen mode. ## `productUrls` (type: `array`): Product mode only. Full TikTok Shop product links, e.g. https://shop.tiktok.com/us/pdp/.../ ## `shopUrls` (type: `array`): Shop mode only. Full TikTok Shop store links, e.g. https://shop.tiktok.com/us/store// ## `categoryUrls` (type: `array`): Category mode only. A full category URL, or a 'slug/id' shorthand such as 'beauty-personal-care/601450', 'phones-electronics/601739', 'kitchenware/600024'. ## `maxResults` (type: `integer`): Maximum products to return (per keyword / category / shop). ## `proxyConfiguration` (type: `object`): TikTok Shop requires US residential proxies — keep the default unless you have your own residential pool. ## Actor input object example ```json { "mode": "category", "productUrls": [], "shopUrls": [], "categoryUrls": [ "beauty-personal-care/601450" ], "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `overview` (type: `string`): No description ## `sales` (type: `string`): No description # 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 = { "productUrls": [], "shopUrls": [], "categoryUrls": [ "beauty-personal-care/601450" ] }; // Run the Actor and wait for it to finish const run = await client.actor("webdatalabs/tiktok-shop-intelligence").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 = { "productUrls": [], "shopUrls": [], "categoryUrls": ["beauty-personal-care/601450"], } # Run the Actor and wait for it to finish run = client.actor("webdatalabs/tiktok-shop-intelligence").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 '{ "productUrls": [], "shopUrls": [], "categoryUrls": [ "beauty-personal-care/601450" ] }' | apify call webdatalabs/tiktok-shop-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=webdatalabs/tiktok-shop-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Shop Scraper - Products, Sales & Trending Intelligence", "description": "Scrape TikTok Shop products by search, URL, shop or category. Get price, sold count, rating, reviews, SKUs + estimated monthly sales, revenue & trending score. Export CSV/JSON.", "version": "2.0", "x-build-id": "QDOFWCJfTK7anSW7f" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/webdatalabs~tiktok-shop-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-webdatalabs-tiktok-shop-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/webdatalabs~tiktok-shop-intelligence/runs": { "post": { "operationId": "runs-sync-webdatalabs-tiktok-shop-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/webdatalabs~tiktok-shop-intelligence/run-sync": { "post": { "operationId": "run-sync-webdatalabs-tiktok-shop-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "category", "product", "shop" ], "type": "string", "description": "What to scrape. Fill in the matching field below for your chosen mode.", "default": "category" }, "productUrls": { "title": "Product URLs", "type": "array", "description": "Product mode only. Full TikTok Shop product links, e.g. https://shop.tiktok.com/us/pdp/.../", "items": { "type": "string" } }, "shopUrls": { "title": "Shop URLs", "type": "array", "description": "Shop mode only. Full TikTok Shop store links, e.g. https://shop.tiktok.com/us/store//", "items": { "type": "string" } }, "categoryUrls": { "title": "Categories", "type": "array", "description": "Category mode only. A full category URL, or a 'slug/id' shorthand such as 'beauty-personal-care/601450', 'phones-electronics/601739', 'kitchenware/600024'.", "items": { "type": "string" } }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum products to return (per keyword / category / shop).", "default": 50 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "TikTok Shop requires US residential proxies — keep the default unless you have your own residential pool.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```