# TikTok Scraper — All-in-One Data Extractor (`dltik/tiktok-scraper`) Actor Extract TikTok data 5x cheaper than alternatives. Scrape profiles, videos, hashtags, search results and comments in one actor. Get followers, likes, views, captions, music metadata and engagement stats. $1 per 1000 results. No proxy needed for most queries. All-in-one no need for separate scrapers. - **URL**: https://apify.com/dltik/tiktok-scraper.md - **Developed by:** [dltik](https://apify.com/dltik) (community) - **Categories:** Social media, Videos, Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 result scrapeds 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.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 All-in-One Scraper Extract TikTok data at **$1 per 1,000 results** — profiles, videos, hashtags, search and trending in a single actor. No proxy needed. > **4× cheaper than [clockworks/tiktok-scraper](https://apify.com/clockworks/tiktok-scraper)** ($4/1000 vs $1/1000) with comparable data quality. --- ### What you can scrape | Mode | Input | What you get | |------|-------|-------------| | `profiles` | `@username` | Followers, bio, likes, video count, avatar, verified status | | `videos` | Video URL | Full metadata + optional comments | | `hashtags` | `#hashtag` | Recent videos for that hashtag | | `search` | Keyword | Videos matching your search query | | `trending` | *(none)* | Currently trending videos on TikTok | --- ### Quick start #### Scrape a profile ```json { "mode": "profiles", "inputs": ["@charlidamelio", "@khaby.lame"] } ```` #### Search for videos ```json { "mode": "search", "inputs": ["decathlon", "viral product 2026"], "maxResultsPerInput": 40 } ``` #### Scrape a hashtag ```json { "mode": "hashtags", "inputs": ["#fitness", "#cooking"], "maxResultsPerInput": 30 } ``` #### Get trending videos ```json { "mode": "trending", "inputs": [], "maxResultsPerInput": 50 } ``` #### Scrape a video with comments ```json { "mode": "videos", "inputs": ["https://www.tiktok.com/@username/video/7123456789"], "includeComments": true, "commentsPerVideo": 50 } ``` *** ### Input fields | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | string | `profiles` | One of: `profiles`, `videos`, `hashtags`, `search`, `trending` | | `inputs` | array | — | Usernames, URLs, hashtag names, or keywords | | `maxResultsPerInput` | integer | `20` | Max results per input (1–500) | | `includeComments` | boolean | `false` | Fetch top comments for each video | | `commentsPerVideo` | integer | `20` | Number of comments per video (1–100) | | `sessionCookies` | array | `[]` | TikTok session cookies to unlock more results (optional) | #### Using session cookies (optional) Providing TikTok session cookies unlocks real cursor pagination (`search/item/full` endpoint), giving **40+ results** per query instead of the standard 12–25. To get your cookies: 1. Open TikTok in Chrome → DevTools (F12) → Application → Cookies → `tiktok.com` 2. Copy these 5 cookies: `sessionid`, `ttwid`, `s_v_web_id`, `msToken`, `odin_tt` 3. Paste them in this format: ```json [ { "name": "sessionid", "value": "abc123..." }, { "name": "ttwid", "value": "1|xyz..." }, { "name": "s_v_web_id", "value": "verify_..." }, { "name": "msToken", "value": "Pzfj..." }, { "name": "odin_tt", "value": "4812..." } ] ``` > Cookies expire after 7–30 days. Without cookies the scraper still works well for most use cases. *** ### Output Every result has a `type` field: `profile`, `video`, `hashtag`, or `comment`. #### Video ```json { "type": "video", "video_id": "7123456789012345678", "video_url": "https://www.tiktok.com/@username/video/7123456789012345678", "description": "Caption text #hashtag #fyp", "published_at": "2026-03-29", "published_ts": 1743200400, "duration": 28, "width": 1080, "height": 1920, "definition": "540p", "language": "en", "cover": "https://p16-sign.tiktokcdn-us.com/...", "play_url": "https://v19-webapp.tiktok.com/...", "author_username": "username", "author_nickname": "Display Name", "author_verified": false, "author_avatar": "https://p16-sign.tiktokcdn-us.com/...", "author_followers": 125000, "plays": 2400000, "likes": 180000, "comments": 3200, "shares": 8900, "bookmarks": 12000, "reposts": 450, "music_title": "original sound", "music_author": "username", "music_original": true, "hashtags": ["decathlon", "sport", "fyp"] } ``` #### Profile ```json { "type": "profile", "username": "tiktok", "nickname": "TikTok", "bio": "Make Your Day", "verified": true, "private": false, "avatar": "https://p16-sign.tiktokcdn-us.com/...", "bio_link": "https://tiktok.com", "region": "US", "followers": 93500000, "following": 340, "likes": 280000000, "videos_count": 1417, "profile_url": "https://www.tiktok.com/@tiktok", "sec_uid": "MS4wLjABAAAA..." } ``` #### Comment ```json { "type": "comment", "video_id": "7123456789012345678", "comment_id": "7123456789012345679", "text": "This is amazing!", "likes": 4200, "replies": 12, "author": "username", "author_nickname": "Display Name", "created_at": 1743200400 } ``` *** ### Performance Benchmarks on real queries (no cookies): | Mode | Query | Results | Time | |------|-------|---------|------| | profiles | @charlidamelio | 1 profile | ~1s | | videos | single URL | 1 video | ~0.5s | | hashtags | #tiktokmademebuyit × 15 | 15 videos | ~16s | | search | "viral product 2026" × 20 | 13–15 videos | ~20s | | search | "decathlon" × 50 | 50 videos | ~37s | | trending | — × 30 | 22 videos | ~20s | With session cookies (search/hashtag): | Query | Results | Time | |-------|---------|------| | "decathlon" × 50 | **40 videos** | ~36s | *** ### Pricing **$0.001 per result = $1 per 1,000 results.** | Actor | Price per 1,000 results | |-------|------------------------| | clockworks/tiktok-scraper | ~$4.00 | | **This actor** | **$1.00** | Apify compute cost is negligible (~$0.00004 per run at 1024 MB × 40s). *** ### Technical details - **No proxy required** — uses DrissionPage with real browser fingerprinting - **SessionPage** (HTTP) for profiles and videos — fast, ~1s - **ChromiumPage** (headless Chromium) for search, hashtags and trending — full browser automation - Listens to TikTok's internal XHR APIs (`search/general/full`, `search/item/full`, `explore/item_list`) - With cookies: navigates `search/item/full` with real cursor pagination - Max 2 concurrent runs to stay within memory limits *** ### Limitations - Profile video lists require authentication (only profile metadata is returned without cookies) - `trending` returns 20–30 videos per run (TikTok's explore page limit) - Cookies expire after 7–30 days and must be refreshed manually - TikTok may rate-limit IPs after many consecutive runs — the built-in delays mitigate this *** ### Connect with Make, Zapier & n8n This actor integrates with any automation platform via the Apify API. #### Make (Integromat) 1. Add an **Apify module** in your Make scenario 2. Select **Run Actor** and choose this actor 3. Configure the input (paste your JSON) 4. Add a **Get Dataset Items** module to retrieve results 5. Connect to Google Sheets, HubSpot, Slack, or any other app #### Zapier 1. Use the **Apify integration** on Zapier 2. Set trigger: **Actor Run Finished** 3. Action: **Get Dataset Items** 4. Send results to your CRM, email tool, or spreadsheet #### n8n 1. Add an **HTTP Request** node to call the Apify API 2. POST to `https://api.apify.com/v2/acts/dltik~tiktok-scraper/runs` 3. Wait for completion, then fetch dataset items 4. Route results to any n8n node #### Webhooks Set up a webhook to get notified when a run finishes: ```python run = client.actor("dltik/tiktok-scraper").call( run_input={...}, webhooks=[{ "eventTypes": ["ACTOR.RUN.SUCCEEDED"], "requestUrl": "https://your-webhook-url.com" }] ) ``` *** ### Other scrapers by dltik | Actor | What it does | Price | |-------|-------------|-------| | [Google Maps Email Extractor](https://apify.com/dltik/google-maps-email-extractor) | Extract emails, phones, WhatsApp from Google Maps businesses | $3/1K | | [Facebook Ads Scraper](https://apify.com/dltik/facebook-ads-scraper) | Scrape Meta Ad Library — ad copy, creatives, CTA links | $1/1K | | [TikTok Video Downloader](https://apify.com/dltik/tiktok-video-downloader) | Download TikTok videos without watermark | $5/1K | | [Reddit Scraper](https://apify.com/dltik/reddit-scraper) | Scrape posts, comments, profiles with sentiment analysis | $2/1K | | [Trustpilot Scraper](https://apify.com/dltik/trustpilot-scraper) | Scrape reviews, ratings, company profiles with sentiment | $0.50/1K | # Actor input Schema ## `mode` (type: `string`): What to scrape from TikTok ## `inputs` (type: `array`): Usernames (for profiles), URLs (for videos), hashtag names (for hashtags), or keywords (for search). Examples: \['@charlidamelio', '@khaby.lame'] for profiles, \['#fitness', '#cooking'] for hashtags, \['funny cats'] for search. ## `maxResultsPerInput` (type: `integer`): Max videos/results to return per input (profile, hashtag, or search query) ## `includeComments` (type: `boolean`): Fetch top comments for each video via browser-based scraping. Works in all modes: videos, hashtags, search, trending. Each video opens a browser to capture comment/list API responses with cursor pagination. Slower and increases cost. ## `commentsPerVideo` (type: `integer`): Number of comments to fetch per video (if includeComments is true) ## `sessionCookies` (type: `array`): TikTok session cookies to unlock unlimited search/hashtag results via the mobile API (search/item/full). In Chrome DevTools → Application → Cookies → copy sessionid, ttwid, s\_v\_web\_id, msToken, odin\_tt. Format: \[{"name": "sessionid", "value": "abc123"}, ...] ## Actor input object example ```json { "mode": "profiles", "inputs": [ "@tiktok" ], "maxResultsPerInput": 20, "includeComments": false, "commentsPerVideo": 20, "sessionCookies": [] } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing TikTok video metadata (views, likes, comments, shares, author, hashtags, music), profile data (followers, bio, verified status), and comments. # 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 = { "inputs": [ "@tiktok" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dltik/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 = { "inputs": ["@tiktok"] } # Run the Actor and wait for it to finish run = client.actor("dltik/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 '{ "inputs": [ "@tiktok" ] }' | apify call dltik/tiktok-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/tiktok-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Scraper — All-in-One Data Extractor", "description": "Extract TikTok data 5x cheaper than alternatives. Scrape profiles, videos, hashtags, search results and comments in one actor. Get followers, likes, views, captions, music metadata and engagement stats. $1 per 1000 results. No proxy needed for most queries. All-in-one no need for separate scrapers.", "version": "1.0", "x-build-id": "V2SSFJdK35cmG2fAm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~tiktok-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-tiktok-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/dltik~tiktok-scraper/runs": { "post": { "operationId": "runs-sync-dltik-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/dltik~tiktok-scraper/run-sync": { "post": { "operationId": "run-sync-dltik-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", "required": [ "mode", "inputs" ], "properties": { "mode": { "title": "Scraping mode", "enum": [ "profiles", "videos", "hashtags", "search", "trending" ], "type": "string", "description": "What to scrape from TikTok", "default": "profiles" }, "inputs": { "title": "Inputs", "type": "array", "description": "Usernames (for profiles), URLs (for videos), hashtag names (for hashtags), or keywords (for search). Examples: ['@charlidamelio', '@khaby.lame'] for profiles, ['#fitness', '#cooking'] for hashtags, ['funny cats'] for search.", "items": { "type": "string" } }, "maxResultsPerInput": { "title": "Max results per input", "minimum": 1, "maximum": 500, "type": "integer", "description": "Max videos/results to return per input (profile, hashtag, or search query)", "default": 20 }, "includeComments": { "title": "Include comments", "type": "boolean", "description": "Fetch top comments for each video via browser-based scraping. Works in all modes: videos, hashtags, search, trending. Each video opens a browser to capture comment/list API responses with cursor pagination. Slower and increases cost.", "default": false }, "commentsPerVideo": { "title": "Comments per video", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of comments to fetch per video (if includeComments is true)", "default": 20 }, "sessionCookies": { "title": "Session cookies (optional)", "type": "array", "description": "TikTok session cookies to unlock unlimited search/hashtag results via the mobile API (search/item/full). In Chrome DevTools → Application → Cookies → copy sessionid, ttwid, s_v_web_id, msToken, odin_tt. Format: [{\"name\": \"sessionid\", \"value\": \"abc123\"}, ...]", "items": { "type": "object", "properties": { "name": { "title": "Cookie name", "type": "string", "description": "Cookie name (e.g. sessionid)" }, "value": { "title": "Cookie value", "type": "string", "description": "Cookie value" } } }, "default": [] } } }, "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 } } } } } } } } } } ```