# TikTok Post Scraper (`sophisticated_zythum/tiktok-scraper`) Actor Extract TikTok posts by keyword, hashtag, or profile. Get views, likes, comments, video URLs, hashtags, and creator data. No login required. Pay only for results delivered. - **URL**: https://apify.com/sophisticated\_zythum/tiktok-scraper.md - **Developed by:** [Md Saif Ahmed](https://apify.com/sophisticated_zythum) (community) - **Categories:** Social media, Lead generation, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.37 / 1,000 post extracteds 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 Scraper Extract TikTok posts by **keyword search** or **profile URL** — views, likes, comments, hashtags, video URLs, and full profile data. No login required. Built on enterprise-grade infrastructure with a **100% success rate** and pay-per-result pricing — you only pay for posts actually delivered. --- ### What does TikTok Scraper do? TikTok Scraper collects public post data from TikTok in two modes: - **Keyword / Hashtag Search** — Find posts matching any keyword or hashtag (e.g. `street food`, `#travel`). Great for trend research, competitor analysis, and content discovery. - **Profile Scraping** — Extract recent posts from any public TikTok profile. Supports date filtering and content type selection (posts, reposts, liked posts). Both modes run in parallel — scraping 5 keywords and 3 profiles takes the same time as scraping 1 keyword and 1 profile. --- ### What data do you get? Each post record includes: | Field | Description | |---|---| | `postId` | Unique TikTok post ID | | `description` | Post caption | | `videoUrl` | Direct video URL | | `previewImage` | Thumbnail image URL | | `createdAt` | Post publish timestamp | | `playCount` | Total views | | `likeCount` | Total likes | | `shareCount` | Total shares | | `commentCount` | Total comments | | `collectCount` | Total saves/bookmarks | | `videoDuration` | Video length in seconds | | `hashtags` | Array of hashtags used | | `region` | Country of the poster | | `music` | Music title and author | | `profileUsername` | Creator's username | | `profileUrl` | Creator's profile URL | | `profileAvatar` | Creator's profile picture URL | | `profileBio` | Creator's bio | | `profileFollowers` | Creator's follower count | | `isVerified` | Whether the account is verified | | `source` | The keyword or profile that returned this post | --- ### Use cases - **Trend research** — Track which content is going viral around a topic or hashtag - **Influencer discovery** — Find creators posting about your niche, ranked by engagement - **Competitor analysis** — Monitor a competitor's posting frequency, engagement, and content strategy - **Market research** — Understand how your audience talks about a topic - **Content strategy** — Identify top-performing post formats, hashtags, and music for your brand - **Academic research** — Collect public social media data for studies on behavior, trends, or culture --- ### How to use #### 1. Add your inputs Provide one or both of: - **Keywords** — plain terms like `vintage furniture` or hashtags like `#art` - **Usernames** — TikTok handles like `natgeo` or `nasa` #### 2. Set filters (optional) - **Max Posts** — how many posts per keyword/profile (default: 20, max: 500) - **Min Views / Min Likes** — skip low-engagement posts - **Date range** — profile mode only (`Start Date` / `End Date` in YYYY-MM-DD) - **What to Collect** — Posts, Reposts, Posts & Reposts, or Liked Posts (profile mode only) - **Country** — filter keyword results by country code (e.g. `US`, `GB`) #### 3. Run and export Results appear in the **Dataset** tab. Export as JSON, CSV, or Excel. --- ### Input example ```json { "keywords": ["street food", "#travel"], "usernames": ["natgeo", "nasa"], "maxPosts": 50, "country": "US", "minViews": 10000, "whatToCollect": "Posts" } ```` *** ### Output example ```json { "source": "street food", "postId": "7312849302948572417", "description": "Best street tacos in Mexico City 🌮 #streetfood #mexico #foodtok", "videoUrl": "https://v16-webapp.tiktok.com/...", "previewImage": "https://p16-sign.tiktokcdn-us.com/...", "createdAt": "2024-11-15T14:23:00.000Z", "playCount": 482000, "likeCount": 38400, "shareCount": 1200, "commentCount": 874, "collectCount": 5300, "videoDuration": 28, "hashtags": ["streetfood", "mexico", "foodtok"], "region": "MX", "music": { "title": "original sound", "author": "foodie_travels" }, "profileUsername": "foodie_travels", "profileUrl": "https://www.tiktok.com/@foodie_travels", "profileFollowers": 124000, "isVerified": false, "extractedAt": "2026-06-03T11:30:00.000Z" } ``` *** ### Pricing This actor uses **pay-per-result** pricing — you are only charged for posts successfully extracted. | Plan | Price per 1,000 posts | |---|---| | Free | $2.99 | | Starter | $2.43 | | Scale | $1.86 | | Business | $1.37 | There is no monthly subscription. Charges apply only when the actor runs successfully. You can cap total spend using Apify's **Max total charge** setting before running. *** ### FAQ **Does this require a TikTok account or login?** No. This scraper only collects publicly available data and requires no TikTok credentials. **Can I scrape private accounts?** No. Only public TikTok profiles can be scraped. **How many posts can I get per keyword?** Up to 500 posts per keyword per run. For larger volumes, run multiple times with different keywords. **Does it support hashtag search?** Yes. Add the `#` prefix to your keyword (e.g. `#cooking`) to search by hashtag. **How fresh is the data?** Data is collected live from TikTok at the time you run the actor — always up to date. **Is this legal?** This actor collects only publicly available data from TikTok, in the same way a user would view posts in a browser. It complies with GDPR for public data collection. Always ensure your use case complies with your local regulations. # Actor input Schema ## `usernames` (type: `array`): TikTok usernames to scrape posts from (e.g. 'natgeo', 'nasa') ## `keywords` (type: `array`): Keywords or hashtags to discover posts (e.g. 'street food', '#travel') ## `maxPosts` (type: `integer`): Maximum posts to collect per username or keyword (minimum 5) ## `startDate` (type: `string`): Only include posts on or after this date (YYYY-MM-DD). Applies to profile scraping only. ## `endDate` (type: `string`): Only include posts on or before this date (YYYY-MM-DD). Applies to profile scraping only. ## `country` (type: `string`): Filter keyword results by country code (e.g. 'US', 'GB'). Leave empty for global results. ## `whatToCollect` (type: `string`): Type of content to collect from profiles ## `minViews` (type: `integer`): Skip posts with fewer views (play count) than this ## `minLikes` (type: `integer`): Skip posts with fewer likes than this ## Actor input object example ```json { "usernames": [ "natgeo" ], "keywords": [ "street food" ], "maxPosts": 20, "whatToCollect": "Posts", "minViews": 0, "minLikes": 0 } ``` # 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 = { "usernames": [ "natgeo" ], "keywords": [ "street food" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sophisticated_zythum/tiktok-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 = { "usernames": ["natgeo"], "keywords": ["street food"], } # Run the Actor and wait for it to finish run = client.actor("sophisticated_zythum/tiktok-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 '{ "usernames": [ "natgeo" ], "keywords": [ "street food" ] }' | apify call sophisticated_zythum/tiktok-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sophisticated_zythum/tiktok-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Post Scraper", "description": "Extract TikTok posts by keyword, hashtag, or profile. Get views, likes, comments, video URLs, hashtags, and creator data. No login required. Pay only for results delivered.", "version": "0.0", "x-build-id": "pjdXNNeASkFq95Zi9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sophisticated_zythum~tiktok-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sophisticated_zythum-tiktok-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sophisticated_zythum~tiktok-scraper/runs": { "post": { "operationId": "runs-sync-sophisticated_zythum-tiktok-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sophisticated_zythum~tiktok-scraper/run-sync": { "post": { "operationId": "run-sync-sophisticated_zythum-tiktok-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "usernames": { "title": "TikTok Usernames", "type": "array", "description": "TikTok usernames to scrape posts from (e.g. 'natgeo', 'nasa')", "items": { "type": "string" } }, "keywords": { "title": "Search Keywords", "type": "array", "description": "Keywords or hashtags to discover posts (e.g. 'street food', '#travel')", "items": { "type": "string" } }, "maxPosts": { "title": "Max Posts", "minimum": 5, "maximum": 500, "type": "integer", "description": "Maximum posts to collect per username or keyword (minimum 5)", "default": 20 }, "startDate": { "title": "Start Date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Only include posts on or after this date (YYYY-MM-DD). Applies to profile scraping only." }, "endDate": { "title": "End Date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Only include posts on or before this date (YYYY-MM-DD). Applies to profile scraping only." }, "country": { "title": "Country", "type": "string", "description": "Filter keyword results by country code (e.g. 'US', 'GB'). Leave empty for global results." }, "whatToCollect": { "title": "What to Collect", "enum": [ "Posts", "Reposts", "Posts & Reposts", "Liked Posts" ], "type": "string", "description": "Type of content to collect from profiles", "default": "Posts" }, "minViews": { "title": "Minimum Views", "type": "integer", "description": "Skip posts with fewer views (play count) than this", "default": 0 }, "minLikes": { "title": "Minimum Likes", "type": "integer", "description": "Skip posts with fewer likes than this", "default": 0 } } }, "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 } } } } } } } } } } ```