# Tiktok Video Search Scraper (`romy/tiktok-video-search-scraper`) Actor Search TikTok videos by keyword and extract metadata — views, likes, comments, author info, hashtags, and music. No login or cookies required. - **URL**: https://apify.com/romy/tiktok-video-search-scraper.md - **Developed by:** [Romy](https://apify.com/romy) (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 from $4.00 / 1,000 videos 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 Video Search Scraper Search TikTok videos by keyword and extract metadata — views, likes, comments, author info, hashtags, and music. No login or cookies required. ### What does TikTok Video Search Scraper do? This Actor searches TikTok's mobile API for videos matching your keywords and returns structured metadata for each result. Supports filtering by upload date, sort order, and video duration. ### Use cases - **Market research** — find trending videos for a topic or product category - **Competitor analysis** — monitor what content performs best in your niche - **Influencer discovery** — identify creators producing viral content around specific keywords - **Content strategy** — analyze which formats (short vs long, recent vs evergreen) get more engagement - **Brand monitoring** — track mentions of your brand or campaign hashtag ### How to use #### Step 1: Configure input ```json { "keywords": ["kucing lucu", "cooking tutorial"], "maxVideosPerKeyword": 100, "sortType": 1, "publishTime": 7, "filterDuration": 1 } ```` | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `keywords` | string\[] | Yes | — | Search keywords | | `maxVideosPerKeyword` | integer | No | 50 | Max videos per keyword (1–1000) | | `sortType` | integer | No | 0 | `0` = Relevance, `1` = Most Liked | | `publishTime` | integer | No | 0 | `0` all time, `1` past day, `7` past week, `30` past month, `90` past 3 months, `180` past 6 months | | `filterDuration` | integer | No | 0 | `0` all, `1` under 1 min, `2` 1–5 min, `3` over 5 min | #### Step 2: Run and download results Click **Start** and download results as **JSON, CSV, or Excel** from the Output tab. ### Output One object per video: ```json { "aweme_id": "7655293487931280658", "keyword": "kucing lucu", "desc": "Ada satu jurus andalanku. #kucinglucu #viral #fyp", "create_time": 1748950412, "author_id": "7123456789", "author_unique_id": "kucinglucu1717", "author_nickname": "Kucing Lucu", "author_avatar": "https://p16-sign.tiktokcdn-us.com/...", "like_count": 148, "comment_count": 10, "share_count": 3, "play_count": 2400, "collect_count": 22, "download_count": 14, "hashtags": ["kucinglucu", "viral", "fyp"], "music_title": "original sound", "music_author": "kucinglucu1717", "cover_url": "https://p16-sign.tiktokcdn-us.com/...", "video_url": "https://www.tiktok.com/@kucinglucu1717/video/7655293487931280658" } ``` ### Pricing | Event | Price | |-------|-------| | Actor start | $0.05 | | Per video scraped | $0.004 | **Examples:** - 100 videos → $0.05 + $0.40 = **$0.45** - 1,000 videos → $0.05 + $4.00 = **$4.05** - 5,000 videos → $0.05 + $20.00 = **$20.05** ### FAQ **Does this require login or cookies?** No. Uses TikTok's mobile API with device-level authentication. No account needed. **How many videos can I scrape per keyword?** Up to 1,000 per keyword per run. TikTok typically returns 200–500 unique results per search query before pagination ends. **Can I search multiple keywords at once?** Yes — provide a list in `keywords`. Each keyword is searched independently and results are labeled with the original keyword. **Is the data real-time?** Yes. Each run queries TikTok's live search API at the time of execution. **Is this legal?** This Actor accesses publicly available search results through TikTok's mobile API. Use responsibly and in accordance with TikTok's Terms of Service. # Actor input Schema ## `keywords` (type: `array`): List of search keywords. E.g. \["kucing lucu", "cooking tutorial"]. ## `maxVideosPerKeyword` (type: `integer`): Maximum number of videos to scrape per keyword. ## `sortType` (type: `integer`): 0 = Relevance (default), 1 = Most Liked. ## `publishTime` (type: `integer`): Filter by upload date: 0 = All time, 1 = Past day, 7 = Past week, 30 = Past month, 90 = Past 3 months, 180 = Past 6 months. ## `filterDuration` (type: `integer`): Filter by video length: 0 = All durations, 1 = Under 1 minute, 2 = 1–5 minutes, 3 = Over 5 minutes. ## Actor input object example ```json { "keywords": [ "kucing lucu" ], "maxVideosPerKeyword": 50, "sortType": 0, "publishTime": 0, "filterDuration": 0 } ``` # 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 = { "keywords": [ "kucing lucu" ] }; // Run the Actor and wait for it to finish const run = await client.actor("romy/tiktok-video-search-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 = { "keywords": ["kucing lucu"] } # Run the Actor and wait for it to finish run = client.actor("romy/tiktok-video-search-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 '{ "keywords": [ "kucing lucu" ] }' | apify call romy/tiktok-video-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=romy/tiktok-video-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tiktok Video Search Scraper", "description": "Search TikTok videos by keyword and extract metadata — views, likes, comments, author info, hashtags, and music. No login or cookies required.", "version": "0.0", "x-build-id": "25VkauEpCQwQdngir" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/romy~tiktok-video-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-romy-tiktok-video-search-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/romy~tiktok-video-search-scraper/runs": { "post": { "operationId": "runs-sync-romy-tiktok-video-search-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/romy~tiktok-video-search-scraper/run-sync": { "post": { "operationId": "run-sync-romy-tiktok-video-search-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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "List of search keywords. E.g. [\"kucing lucu\", \"cooking tutorial\"].", "items": { "type": "string" } }, "maxVideosPerKeyword": { "title": "Max Videos Per Keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of videos to scrape per keyword.", "default": 50 }, "sortType": { "title": "Sort Type", "minimum": 0, "maximum": 1, "type": "integer", "description": "0 = Relevance (default), 1 = Most Liked.", "default": 0 }, "publishTime": { "title": "Publish Time Filter", "minimum": 0, "maximum": 180, "type": "integer", "description": "Filter by upload date: 0 = All time, 1 = Past day, 7 = Past week, 30 = Past month, 90 = Past 3 months, 180 = Past 6 months.", "default": 0 }, "filterDuration": { "title": "Video Duration Filter", "minimum": 0, "maximum": 3, "type": "integer", "description": "Filter by video length: 0 = All durations, 1 = Under 1 minute, 2 = 1–5 minutes, 3 = Over 5 minutes.", "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 } } } } } } } } } } ```