# TikTok Comments and Replies Collector (`tik-aio/tiktok-comment-scraper`) Actor Collect TikTok comments and replies from any public video in a structured format ready for production use. Built for social listening teams, creator analytics, campaign monitoring, and moderation workflows. Includes pagination, reply crawling, and output options. Free trial: 100 comments/month. - **URL**: https://apify.com/tik-aio/tiktok-comment-scraper.md - **Developed by:** [Tik Gpt Anoy](https://apify.com/tik-aio) (community) - **Categories:** Social media, Developer tools, Videos - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Production-ready Apify Actor for extracting TikTok comments and replies from a video URL or video ID. This Actor is designed for: - Social listening and sentiment workflows - Community moderation tools - Creator and campaign analytics - Data pipelines that need clean parsed output ### Free Trial - Free trial: each user can get up to **100 output comments per month**. ### Features - Accepts TikTok video URL or video ID - Crawls top-level comments with pagination - Crawls replies for each comment - Parsed output designed for easy downstream use - Optional raw output for full fidelity - Safe logging mode to avoid leaking called request URLs ### Input You can provide either video_url or video_id. Example input: ```json { "video_url": "https://www.tiktok.com/@tiktok/video/7627468769413106962", "limit_comments": 100, "fetch_replies": true, "limit_replies": 20, "output_mode": "parsed", "include_source_video_url": false, "proxy": "" } ```` Input fields: - video\_url: TikTok video URL - video\_id: Optional direct video ID - limit\_comments: Max top-level comments to crawl (upper bound) - fetch\_replies: Fetch reply comments - limit\_replies: Max replies per top-level comment - output\_mode: raw, parsed, or both - include\_source\_video\_url: Include source URL in output (default false) - proxy: Optional outbound proxy URL Limit behavior: - If `limit_comments` is higher than the number of comments available on the video, the actor fetches all available comments and then stops automatically. - The same rule applies to replies per comment when `limit_replies` is higher than available replies. ### Output Recommended for users: output\_mode = parsed Parsed output shape: - video\_id - source\_video\_url (null by default unless explicitly enabled) - total\_comments - total\_replies - errors - timestamp - comments\[] Each parsed comment includes: - comment\_id - text - comment\_language - digg\_count - reply\_comment\_total - replies\_fetched\_count - share\_info - author - replies\[] Each parsed reply includes: - reply\_id - parent\_comment\_id - text - comment\_language - digg\_count - share\_info - author Example parsed response (output\_mode = parsed): ```json { "video_id": "7627865949982428432", "source_video_url": null, "total_comments": 2, "total_replies": 3, "errors": [], "timestamp": "2026-04-19T04:41:46.059893Z", "comments": [ { "comment_id": "7628233157611766549", "video_id": "7627865949982428432", "text": "Great live performance", "comment_language": "en", "language": "en", "created_at_ts": 1776086451, "created_at_iso": "2026-04-13T13:20:51Z", "digg_count": 37, "like_count": 37, "reply_count": 1, "reply_comment_total": 1, "replies_fetched_count": 1, "status": 1, "share_info": { "acl": { "code": 0, "extra": "{}" }, "need_confirm": true, "desc_tpl": "'s comment" }, "labels": [], "mentions": [], "author": { "user_id": "7115250451100992513", "sec_uid": "MS4wLjABAAAA...", "unique_id": "sample_user", "nickname": "Sample User", "signature": "", "region": "VN", "avatar_url": "https://p16-sign.tiktokcdn.com/...", "avatar_uri": "tos-alisg-avt-0068/...", "verification_type": 0, "is_verified": false }, "replies": [ { "reply_id": "7628861253877220104", "video_id": "7627865949982428432", "parent_comment_id": "7628233157611766549", "reply_to_reply_id": "0", "reply_to_user_id": "", "reply_to_username": "", "text": "Agreed", "comment_language": "en", "language": "en", "created_at_ts": 1776232694, "created_at_iso": "2026-04-15T05:58:14Z", "digg_count": 11, "like_count": 11, "status": 1, "share_info": { "acl": { "code": 0, "extra": "{}" }, "desc_tpl": "'s comment", "need_confirm": true }, "labels": [], "mentions": [], "author": { "user_id": "6697171352418288642", "sec_uid": "MS4wLjABAAAA...", "unique_id": "reply_user", "nickname": "Reply User", "signature": "", "region": "VN", "avatar_url": "https://p16-sign.tiktokcdn.com/...", "avatar_uri": "tos-alisg-avt-0068/...", "follower_count": 0, "following_count": 0, "aweme_count": 0, "verification_type": 0, "is_verified": false } } ] } ] } ``` Example response when output\_mode = both: ```json { "parsed": { "video_id": "7627865949982428432", "source_video_url": null, "total_comments": 20, "total_replies": 28, "errors": [], "timestamp": "2026-04-19T04:41:46.059893Z", "comments": [] }, "raw": { "video_id": "7627865949982428432", "comments": [], "total_comments_fetched": 20, "total_replies_fetched": 28, "errors": [], "timestamp": "2026-04-19T04:41:46.059893Z" } } ``` Full sample output is available in `data-sample.json`. ### Privacy and Security - Request URLs are not logged directly - Error text is sanitized to redact URLs - source\_video\_url is hidden by default in parsed output ### Compliance Use this Actor only where usage is lawful and compliant with applicable platform terms and local regulations. # Actor input Schema ## `video_url` (type: `string`): Full URL of the TikTok video (e.g., https://www.tiktok.com/@username/video/123456789) ## `video_id` (type: `string`): Optional direct video ID if you do not want to pass video\_url ## `limit_comments` (type: `integer`): Maximum number of comments to fetch (default: 100) ## `fetch_replies` (type: `boolean`): Whether to fetch replies for each comment ## `limit_replies` (type: `integer`): Maximum replies fetched for each parent comment ## `output_mode` (type: `string`): Choose result format: raw, parsed, or both ## `include_source_video_url` (type: `boolean`): When enabled, source\_video\_url will be returned in parsed output ## `proxy` (type: `string`): Optional proxy URL (e.g., http://proxy.example.com:8080) ## Actor input object example ```json { "video_url": "https://www.tiktok.com/@tiktok/video/7626770644042059015", "limit_comments": 100, "fetch_replies": true, "limit_replies": 100, "output_mode": "both", "include_source_video_url": false } ``` # 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("tik-aio/tiktok-comment-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("tik-aio/tiktok-comment-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 tik-aio/tiktok-comment-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tik-aio/tiktok-comment-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Comments and Replies Collector", "description": "Collect TikTok comments and replies from any public video in a structured format ready for production use.\nBuilt for social listening teams, creator analytics, campaign monitoring, and moderation workflows.\nIncludes pagination, reply crawling, and output options.\nFree trial: 100 comments/month.", "version": "1.0", "x-build-id": "Ieaqakr5bLDrRNlqc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tik-aio~tiktok-comment-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tik-aio-tiktok-comment-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/tik-aio~tiktok-comment-scraper/runs": { "post": { "operationId": "runs-sync-tik-aio-tiktok-comment-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/tik-aio~tiktok-comment-scraper/run-sync": { "post": { "operationId": "run-sync-tik-aio-tiktok-comment-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": { "video_url": { "title": "TikTok Video URL", "type": "string", "description": "Full URL of the TikTok video (e.g., https://www.tiktok.com/@username/video/123456789)" }, "video_id": { "title": "TikTok Video ID (Optional)", "type": "string", "description": "Optional direct video ID if you do not want to pass video_url" }, "limit_comments": { "title": "Max Comments", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of comments to fetch (default: 100)", "default": 100 }, "fetch_replies": { "title": "Fetch Replies", "type": "boolean", "description": "Whether to fetch replies for each comment", "default": true }, "limit_replies": { "title": "Max Replies Per Comment", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Maximum replies fetched for each parent comment", "default": 100 }, "output_mode": { "title": "Output Mode", "enum": [ "both", "parsed", "raw" ], "type": "string", "description": "Choose result format: raw, parsed, or both", "default": "both" }, "include_source_video_url": { "title": "Include Source Video URL In Output", "type": "boolean", "description": "When enabled, source_video_url will be returned in parsed output", "default": false }, "proxy": { "title": "Proxy URL", "type": "string", "description": "Optional proxy URL (e.g., http://proxy.example.com:8080)" } } }, "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 } } } } } } } } } } ```