# TikTok Comments & Replies Scraper (No Cookie) (`datadoping/tiktok-comment-reply-scraper`) Actor Scrape unlimited TikTok comments, replies, likes & user data at high speed. No login or proxy needed. Input URLs export to JSON/CSV, and scale for research, leads, or trend analysis. - **URL**: https://apify.com/datadoping/tiktok-comment-reply-scraper.md - **Developed by:** [Data Doping](https://apify.com/datadoping) (community) - **Categories:** Developer tools, Lead generation, Social media - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.20 / 1,000 comment/replies This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Comments and Replies Scraper Extract public TikTok comments and replies from one or multiple videos with a focused, cost-efficient actor. This actor is built for teams that need structured TikTok comment data for analytics, social listening, moderation insights, lead research, and machine learning datasets. ### What this actor does - Scrapes TikTok video comments using cursor-based pagination - Optionally scrapes replies for each comment - Supports multiple input URLs or IDs in one run - Accepts direct TikTok video links, video IDs, and comment-share links - Works well with Apify Dataset exports (JSON, CSV, Excel, XML) ### Input #### Supported input fields ```json { "video_id_or_url": [ "https://www.tiktok.com/@bellapoarch/video/6862153058223197445" ], "max_comments": 100, "scrape_replies": true, "max_replies": 20 } ```` #### Input format details - `video_id_or_url` (required, array of strings) - TikTok video URL (example: `https://www.tiktok.com/@user/video/7306132438047116586`) - TikTok mobile share URL containing `share_item_id` - Raw TikTok video ID (numeric string) - TikTok comment share URL containing both `share_item_id` (video ID) and `share_comment_id` (comment ID) - `max_comments` (optional, integer): max comments per video - `scrape_replies` (optional, boolean): include replies - `max_replies` (optional, integer): max replies per parent comment ### Output Each dataset item keeps the original raw response fields and also includes flattened top-level fields for easier preview, filtering, and export. #### Common flat fields - `item_type` (`comment` or `reply`) - `video_id` - `comment_id` - `reply_to_comment_id` - `text` - `like_count` - `reply_count` - `created_at_utc` - `username` - `nickname` - `user_id` - `profile_pic_url` - `share_url` - `input_url` #### Output example ```json { "item_type": "comment", "video_id": "7306132438047116586", "comment_id": "7306162850404975402", "reply_to_comment_id": "0", "text": "The way her voice has matured still gets me", "like_count": 41554, "reply_count": 39, "created_at_utc": "2023-11-27T12:44:01.000Z", "username": "kylerharrison.20", "nickname": "Kyler<3", "user_id": "6870606316903056390", "profile_pic_url": "https://p19-common-sign.tiktokcdn.com/...", "share_url": "https://m.tiktok.com/v/7306132438047116586.html?...", "input_url": "https://www.tiktok.com/@example/video/7306132438047116586" } ``` ### Actor features - Fast TikTok comments scraper - Optional TikTok replies scraper for deeper conversation threads - Suitable for automation pipelines and no-code workflows ### Use cases - TikTok sentiment analysis - Community and audience feedback mining - Influencer campaign comment monitoring - Product, feature, and brand mention analysis - Training datasets for NLP or LLM workflows ### SEO relevance If you are searching for a TikTok comments scraper, TikTok replies scraper, TikTok comment extractor, or TikTok comments API style workflow, this actor is optimized for exactly that use case with practical, export-ready output. ### Compliance note Use this actor only for lawful processing of public data and ensure your usage complies with TikTok terms, local regulations, and your internal data governance policies. # Actor input Schema ## `video_id_or_url` (type: `array`): Tiktok video ids or URLs to scrape. Prefilled with a sample URL. ## `max_comments` (type: `integer`): Maximum number of comments to scrape for each video. ## `scrape_replies` (type: `boolean`): Replies will be scraped if enabled. ## `max_replies` (type: `integer`): Maximum number of replies to fetch per comment. ## Actor input object example ```json { "video_id_or_url": [ "https://www.tiktok.com/@bellapoarch/video/6862153058223197445" ], "max_comments": 100, "max_replies": 20 } ``` # 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 = { "video_id_or_url": [ "https://www.tiktok.com/@bellapoarch/video/6862153058223197445" ], "max_comments": 100, "scrape_replies": false, "max_replies": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("datadoping/tiktok-comment-reply-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 = { "video_id_or_url": ["https://www.tiktok.com/@bellapoarch/video/6862153058223197445"], "max_comments": 100, "scrape_replies": False, "max_replies": 20, } # Run the Actor and wait for it to finish run = client.actor("datadoping/tiktok-comment-reply-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 '{ "video_id_or_url": [ "https://www.tiktok.com/@bellapoarch/video/6862153058223197445" ], "max_comments": 100, "scrape_replies": false, "max_replies": 20 }' | apify call datadoping/tiktok-comment-reply-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datadoping/tiktok-comment-reply-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Comments & Replies Scraper (No Cookie)", "description": "Scrape unlimited TikTok comments, replies, likes & user data at high speed. No login or proxy needed. Input URLs export to JSON/CSV, and scale for research, leads, or trend analysis.", "version": "0.0", "x-build-id": "jhL5Z563BlEXXWSFE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datadoping~tiktok-comment-reply-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datadoping-tiktok-comment-reply-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datadoping~tiktok-comment-reply-scraper/runs": { "post": { "operationId": "runs-sync-datadoping-tiktok-comment-reply-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datadoping~tiktok-comment-reply-scraper/run-sync": { "post": { "operationId": "run-sync-datadoping-tiktok-comment-reply-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "video_id_or_url" ], "properties": { "video_id_or_url": { "title": "Video ID or URL", "type": "array", "description": "Tiktok video ids or URLs to scrape. Prefilled with a sample URL.", "items": { "type": "string" } }, "max_comments": { "title": "Max Comments per Video", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of comments to scrape for each video." }, "scrape_replies": { "title": "Scrape Replies", "type": "boolean", "description": "Replies will be scraped if enabled." }, "max_replies": { "title": "Max Replies per Comment", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of replies to fetch per comment." } } }, "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 } } } } } } } } } } ```