# Tiktok Posts Scraper (`fortuitous_pirate/tiktok-posts-scraper`) Actor - **URL**: https://apify.com/fortuitous\_pirate/tiktok-posts-scraper.md - **Developed by:** [Fortuitous Pirate](https://apify.com/fortuitous_pirate) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 result items 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 Posts Scraper ### Overview Scrape TikTok posts by URL, keyword, profile, or discover URL. Filter by date range, post type, sort order, and more. Supports direct URLs, keyword search, filters (Start Date, End Date, Post Type, Sort By). ### Features - Search by keywords to find specific results - Filter results by category or type - Export data in JSON, CSV, or Excel formats - Supports direct URL input for targeted scraping - Control output volume with configurable result limits ### Use Cases - **Monitor** - Monitor social media profiles and engagement metrics - **Track** - Track brand mentions and sentiment across platforms - **Build** - Build influencer databases for marketing campaigns - **Aggregate** - Aggregate social data for audience research ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `urls` | array | Direct TikTok post URLs to scrape | | | `search_keyword` | array | Keywords or hashtags to search (e.g., '#artist', 'music', '#funnydogs') | | | `profile_urls` | array | TikTok profile URLs to get posts from | | | `discover_urls` | array | TikTok discover/explore URLs | | | `num_of_posts` | integer | Max posts to collect per profile (0 = all) | `0` | | `start_date` | string | Filter posts from this date (MM-DD-YYYY) | | | `end_date` | string | Filter posts until this date (MM-DD-YYYY) | | | `what_to_collect` | string | Type of content to collect | `Posts & Reposts` | | `post_type` | string | Filter by post type | | | `sort_by` | string | Sort order for results | | | `posts_to_not_include` | array | Post IDs to exclude from results | | | `country` | string | Country code (e.g., US, FR, UK) | | | `limit_per_input` | integer | Max results per input | | | `maxItems` | integer | Maximum total items to return | `100` | ### Output Example Each result contains structured data like this: ```json { "username": "sample_user", "displayName": "TikTok Posts Sample Item", "followers": 15400, "following": 15400, "posts": 15400, "bio": "Detailed description of the item...", "profileUrl": "https://example.com/item/12345" } ```` ### Pricing This actor uses pay-per-result pricing: - **$0.001** per result - **$1.00** per 1,000 results No monthly fees. You only pay for what you scrape. [Apify Free plan](https://apify.com/pricing) includes $5/month in platform credits. ### How to Run #### Apify Console 1. Go to the [TikTok Posts Scraper](https://apify.com/fortuitous_pirate/tiktok-posts-scraper) actor page 2. Configure your input parameters 3. Click **Start** and wait for the results 4. Download data in JSON, CSV, or Excel format #### API ```bash curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~tiktok-posts-scraper/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"maxItems": 10}' ``` #### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("fortuitous_pirate/tiktok-posts-scraper").call( run_input={"maxItems": 10} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ### Integration Connect TikTok Posts Scraper with your existing tools and workflows: - **API access** - Programmatic access via [Apify API](https://docs.apify.com/api/v2) - **Webhooks** - Get notified when scraping completes - **Scheduling** - Set up recurring runs on any schedule - **Zapier / Make** - Connect with 5,000+ apps via [Apify integrations](https://apify.com/integrations) - **Python / Node.js SDKs** - Native client libraries for easy integration # Actor input Schema ## `urls` (type: `array`): Direct TikTok post URLs to scrape ## `search_keyword` (type: `array`): Keywords or hashtags to search (e.g., '#artist', 'music', '#funnydogs') ## `profile_urls` (type: `array`): TikTok profile URLs to get posts from ## `discover_urls` (type: `array`): TikTok discover/explore URLs ## `num_of_posts` (type: `integer`): Max posts to collect per profile (0 = all) ## `start_date` (type: `string`): Filter posts from this date (MM-DD-YYYY) ## `end_date` (type: `string`): Filter posts until this date (MM-DD-YYYY) ## `what_to_collect` (type: `string`): Type of content to collect ## `post_type` (type: `string`): Filter by post type ## `sort_by` (type: `string`): Sort order for results ## `posts_to_not_include` (type: `array`): Post IDs to exclude from results ## `country` (type: `string`): Country code (e.g., US, FR, UK) ## `limit_per_input` (type: `integer`): Max results per input ## `maxItems` (type: `integer`): Maximum total items to return ## Actor input object example ```json { "num_of_posts": 0, "what_to_collect": "Posts & Reposts", "maxItems": 100 } ``` # 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("fortuitous_pirate/tiktok-posts-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 = {} # Run the Actor and wait for it to finish run = client.actor("fortuitous_pirate/tiktok-posts-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 '{}' | apify call fortuitous_pirate/tiktok-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fortuitous_pirate/tiktok-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tiktok Posts Scraper", "description": "", "version": "1.0", "x-build-id": "VvjsyfFN3VBwTLkAM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fortuitous_pirate~tiktok-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fortuitous_pirate-tiktok-posts-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fortuitous_pirate~tiktok-posts-scraper/runs": { "post": { "operationId": "runs-sync-fortuitous_pirate-tiktok-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fortuitous_pirate~tiktok-posts-scraper/run-sync": { "post": { "operationId": "run-sync-fortuitous_pirate-tiktok-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "Post URLs", "type": "array", "description": "Direct TikTok post URLs to scrape", "items": { "type": "string" } }, "search_keyword": { "title": "Search Keyword", "type": "array", "description": "Keywords or hashtags to search (e.g., '#artist', 'music', '#funnydogs')", "items": { "type": "string" } }, "profile_urls": { "title": "Profile URLs", "type": "array", "description": "TikTok profile URLs to get posts from", "items": { "type": "string" } }, "discover_urls": { "title": "Discover URLs", "type": "array", "description": "TikTok discover/explore URLs", "items": { "type": "string" } }, "num_of_posts": { "title": "Number of Posts", "minimum": 0, "type": "integer", "description": "Max posts to collect per profile (0 = all)", "default": 0 }, "start_date": { "title": "Start Date", "type": "string", "description": "Filter posts from this date (MM-DD-YYYY)" }, "end_date": { "title": "End Date", "type": "string", "description": "Filter posts until this date (MM-DD-YYYY)" }, "what_to_collect": { "title": "What to Collect", "enum": [ "Posts & Reposts", "Posts only", "Reposts only" ], "type": "string", "description": "Type of content to collect", "default": "Posts & Reposts" }, "post_type": { "title": "Post Type", "enum": [ "", "video", "image" ], "type": "string", "description": "Filter by post type" }, "sort_by": { "title": "Sort By", "enum": [ "", "latest", "popular" ], "type": "string", "description": "Sort order for results" }, "posts_to_not_include": { "title": "Exclude Post IDs", "type": "array", "description": "Post IDs to exclude from results", "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Country code (e.g., US, FR, UK)" }, "limit_per_input": { "title": "Limit Per Input", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Max results per input" }, "maxItems": { "title": "Max Total Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum total items to return", "default": 100 } } }, "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 } } } } } } } } } } ```