# TikTok Video Scraper (`apt_marble/tiktok-video-scraper`) Actor 🚀 Scrape TikTok videos from URLs or IDs with 📊 engagement stats, 🎬 media URLs, 👤 author details, 📝 captions, #️⃣ hashtags, and more. - **URL**: https://apify.com/apt\_marble/tiktok-video-scraper.md - **Developed by:** [Hamza](https://apify.com/apt_marble) (community) - **Categories:** Social media, Videos, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.50 / 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. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Video Scraper 🎬 **Paste any TikTok link — get the full post data back as clean, structured JSON.** Works with regular video URLs, photo posts, short share links (`vm.tiktok.com`, `vt.tiktok.com`, `tiktok.com/t/…`) and even bare post IDs. No login, no cookies, no browser extensions. --- ### ✨ What you can do with it - 📊 **Track post performance** — monitor plays, likes, comments, shares and saves for any post over time. - 🎯 **Analyze competitors & campaigns** — pull exact stats for the posts that matter to you. - 🧲 **Vet influencers** — check real engagement on the posts they pitch you. - 🔗 **Expand short links in bulk** — turn `vm.tiktok.com/…` share links into canonical URLs + full data. - 🤖 **Feed your pipeline** — push results straight into Make, Zapier, Google Sheets, or your own app via the Apify API. ### 🎁 What you get for each post Caption, post date, play / like / comment / share / save / repost counts, duration, cover image, direct media URLs, hashtags, mentions, music/sound details, photo-post images, and the author's profile with follower / like / video counts. ### 🚀 How to use it 1. Add one or more **post URLs** (any format — full URL, short link, or post ID). 2. Click **Start** — results stream into the dataset as they're scraped. 3. Export as **JSON, CSV or Excel**, or read them via the API. #### Example input ```json { "postUrls": [ "https://www.tiktok.com/@tiktok/video/7231338487075638570", "https://vm.tiktok.com/ZMabc123/" ] } ```` ### 📦 Example output ```json { "id": "7231338487075638570", "url": "https://www.tiktok.com/@tiktok/video/7231338487075638570", "description": "the caption #fyp", "createTimeISO": "2026-06-20T12:00:00.000Z", "playCount": 1200000, "diggCount": 98000, "commentCount": 1200, "shareCount": 800, "collectCount": 4300, "duration": 15, "cover": "https://p16-sign.tiktokcdn.com/...", "authorUniqueId": "tiktok", "authorNickname": "TikTok", "authorFollowerCount": 84000000, "hashtags": ["fyp"], "musicTitle": "original sound", "isPhotoPost": false } ``` ### 💰 Pricing This actor uses **pay-per-event** pricing: you pay a small fee per post scraped. No subscriptions, no minimums — scrape 3 posts or 30,000 and pay only for what you get. ### ❓ FAQ **Does it work with photo (carousel) posts?** Yes — photo posts return the same record with `isPhotoPost: true` and the image URLs in `images`. **Do I need a TikTok account or cookies?** No. The actor only reads public pages. **Why did a post come back empty?** The post is deleted, private, age-restricted or region-blocked. Those can't be read publicly. **Is this legal?** The actor only collects publicly available data. You are responsible for how you use the data — see Apify's [terms](https://apify.com/terms-of-use) and consult local regulations for your use case. # Actor input Schema ## `postUrls` (type: `array`): One or more TikTok posts to scrape. Accepts full video/photo URLs (https://www.tiktok.com/@user/video/123…), short share links (vm.tiktok.com/…, vt.tiktok.com/…, tiktok.com/t/…), or bare post IDs. ## `region` (type: `string`): Two-letter country code used for region-specific results (e.g. us, gb, de). ## `maxConcurrency` (type: `integer`): How many posts to process in parallel. ## Actor input object example ```json { "postUrls": [ "https://www.tiktok.com/@tiktok/video/7231338487075638570" ], "region": "US", "maxConcurrency": 4 } ``` # Actor output Schema ## `dataset` (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 = { "postUrls": [ "https://www.tiktok.com/@tiktok/video/7231338487075638570" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apt_marble/tiktok-video-scraper").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 = { "postUrls": ["https://www.tiktok.com/@tiktok/video/7231338487075638570"] } # Run the Actor and wait for it to finish run = client.actor("apt_marble/tiktok-video-scraper").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 '{ "postUrls": [ "https://www.tiktok.com/@tiktok/video/7231338487075638570" ] }' | apify call apt_marble/tiktok-video-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apt_marble/tiktok-video-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Video Scraper", "description": "🚀 Scrape TikTok videos from URLs or IDs with 📊 engagement stats, 🎬 media URLs, 👤 author details, 📝 captions, #️⃣ hashtags, and more.", "version": "0.0", "x-build-id": "LXgnKUApBFft3mvHc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apt_marble~tiktok-video-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apt_marble-tiktok-video-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apt_marble~tiktok-video-scraper/runs": { "post": { "operationId": "runs-sync-apt_marble-tiktok-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apt_marble~tiktok-video-scraper/run-sync": { "post": { "operationId": "run-sync-apt_marble-tiktok-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "postUrls" ], "properties": { "postUrls": { "title": "TikTok post URLs", "type": "array", "description": "One or more TikTok posts to scrape. Accepts full video/photo URLs (https://www.tiktok.com/@user/video/123…), short share links (vm.tiktok.com/…, vt.tiktok.com/…, tiktok.com/t/…), or bare post IDs.", "items": { "type": "string" } }, "region": { "title": "Region (advanced)", "type": "string", "description": "Two-letter country code used for region-specific results (e.g. us, gb, de).", "default": "US" }, "maxConcurrency": { "title": "Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many posts to process in parallel.", "default": 4 } } }, "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 } } } } } } } } } } ```