# TikTok Video Search Scraper ยท No Cookies (`data-slayer/tiktok-video-search`) Actor Search TikTok videos by keyword and extract metadata without login. Get video descriptions, duration, resolution, cover images, play URLs, download links, codec info, and file sizes. No cookies, no authentication. JSON/CSV/Excel export. - **URL**: https://apify.com/data-slayer/tiktok-video-search.md - **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community) - **Categories:** Videos, Social media, Automation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $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. 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 Video Search Scraper ยท No Cookies Extract comprehensive TikTok video metadata and engagement metrics without authentication. This cookieless scraper enables content teams to discover trending videos, analyze competitor content strategies, and collect video performance data at scale. ### Key Features ๐Ÿ”’ **Cookieless / No Login Required** - Access public TikTok video data without authentication, eliminating account management overhead and reducing the risk of rate limiting or blocks. ๐Ÿ“ˆ **Scalable Architecture** - Process thousands of videos efficiently with built-in pagination and rate limiting, designed for enterprise-scale content intelligence operations. โœ… **Rich Video Metadata** - Capture complete video details including ID, description, creation timestamp, video specifications (height, width, duration, bitrate), cover images, play URLs, download links, codec information, and quality metrics. โšก **Fast & Reliable** - Optimized scraping engine delivers consistent results with automatic retry logic and error handling for uninterrupted data collection. ๐Ÿ“Š **Export-Ready Formats** - Download data in JSON, CSV, or Excel formats for immediate integration with analytics platforms, content planning tools, and business intelligence dashboards. ### Use Cases **Marketing Teams**: Track viral content trends, identify high-performing video formats, and analyze competitor content strategies by monitoring video engagement metrics across target keywords and hashtags. **Data Analysts**: Build comprehensive datasets of video performance indicators, creator activity patterns, and content distribution metrics to power predictive models and trend forecasting. **Content Strategists**: Discover what's working in your niche by searching keywords and analyzing video duration, format, and engagement patterns to inform your own content production. ### Inputs | Field | Type | Description | |-------|------|-------------| | keyword | String | Search term to find TikTok videos (e.g., "cat", "fitness tips", "product review") | ### Outputs **Available Formats**: JSON, CSV, Excel **Key Data Fields**: - `id` - Unique video identifier - `desc` - Video description and hashtags - `createTime` - Unix timestamp of video publication - `video.height` / `video.width` - Video dimensions - `video.duration` - Video length in seconds - `video.ratio` - Video quality ratio (e.g., "540p") - `video.cover` - Thumbnail image URL - `video.playAddr` - Direct video playback URL - `video.downloadAddr` - Video download URL - `video.bitrate` - Video bitrate in bits per second - `video.format` - Video file format - `video.codecType` - Video codec (e.g., "h264") - `video.size` - Video file size in bytes ### How to Use **Step 1**: Enter your target search keyword in the `keyword` field (e.g., "cat", "technology review", "cooking tutorial"). **Step 2**: Configure any additional parameters based on your data collection requirements. **Step 3**: Run the scraper and download results in your preferred format (JSON, CSV, or Excel) for analysis or integration with your existing systems. ### Sample Output ```json { "id": "7581836498807295254", "desc": "Amazing product demo #tech #innovation #startup", "createTime": 1765283880, "video": { "id": "7581836498807295254", "height": 1024, "width": 576, "duration": 15, "ratio": "540p", "cover": "https://example.tiktokcdn.com/cover-image.jpeg", "playAddr": "https://example.tiktok.com/video/play/url", "downloadAddr": "https://example.tiktok.com/video/download/url", "bitrate": 474378, "format": "mp4", "codecType": "h264", "size": 618708 } } ```` ### ๐Ÿงฉ Other TikTok Actors by Data Slayer | Actor | What it does | Link | |---|---|---| | TikTok Comments Scraper | Extract comments from any TikTok video | [Try it](https://apify.com/data-slayer/tiktok-comments) | | TikTok Profile Scraper | Get detailed user profile data by username | [Try it](https://apify.com/data-slayer/tiktok-profile-scraper) | | TikTok Followers Scraper | Extract follower lists from any TikTok account | [Try it](https://apify.com/data-slayer/tiktok-followers) | | TikTok Popular Posts Scraper | Extract top-performing posts from any profile | [Try it](https://apify.com/data-slayer/tiktok-popular-posts) | **Need verified emails?** Our [LinkedIn Post Engagers Email Finder](https://apify.com/data-slayer/linkedin-post-to-verified-leads) and [LinkedIn Audience Email Finder](https://apify.com/data-slayer/linkedin-influencer-audience-to-verified-leads) extract verified work emails from LinkedIn engagement data. ### ๐Ÿ’ฌ Feedback and Support We actively maintain this actor and ship improvements based on user feedback. If you run into any issues or have ideas for new features: - Create an issue on the Actor's **Issues tab** in Apify Console - Rate the actor if it helped you โ€” it helps others find it too We typically respond within 24 hours. *** *** # Actor input Schema ## `keyword` (type: `string`): Search keyword ## `maxPages` (type: `integer`): Maximum number of pages to fetch (pagination handled automatically) ## Actor input object example ```json { "keyword": "new york", "maxPages": 1 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("data-slayer/tiktok-video-search").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = {} # Run the Actor and wait for it to finish run = client.actor("data-slayer/tiktok-video-search").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call data-slayer/tiktok-video-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data-slayer/tiktok-video-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Video Search Scraper ยท No Cookies", "description": "Search TikTok videos by keyword and extract metadata without login. Get video descriptions, duration, resolution, cover images, play URLs, download links, codec info, and file sizes. No cookies, no authentication. JSON/CSV/Excel export.", "version": "1.0", "x-build-id": "FeROExi5Qf0qb1sbf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data-slayer~tiktok-video-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data-slayer-tiktok-video-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data-slayer~tiktok-video-search/runs": { "post": { "operationId": "runs-sync-data-slayer-tiktok-video-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data-slayer~tiktok-video-search/run-sync": { "post": { "operationId": "run-sync-data-slayer-tiktok-video-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword" ], "properties": { "keyword": { "title": "Keyword", "type": "string", "description": "Search keyword", "default": "new york" }, "maxPages": { "title": "Maximum Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of pages to fetch (pagination handled automatically)", "default": 1 } } }, "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 } } } } } } } } } } ```