# TikTok Comments Scraper (`gopalakrishnan/tiktok-comments`) Actor Scrape public TikTok comments and replies from any video — no browser, no login. Provide video URLs or numeric IDs and get comment text, likes, reply counts, timestamps, author info (username, nickname, ID, secUid), and parent-video metadata. Pay-per-comment . - **URL**: https://apify.com/gopalakrishnan/tiktok-comments.md - **Developed by:** [Gopalakrishnan](https://apify.com/gopalakrishnan) (community) - **Categories:** Social media, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.40 / 1,000 comment scrapeds 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 Comments Scraper Scrapes public TikTok comments (and optionally replies) from a list of video URLs or numeric IDs. Built as an Apify Actor using `got-scraping` — no browser required, fetching comments via unsigned API requests over plain datacenter proxies. ### Features - Accepts full TikTok video URLs (e.g. `https://www.tiktok.com/@stoolpresidente/video/7473199106861796654`) or bare numeric video IDs (`7473199106861796654`). - Returns detailed comment records: text, likes, reply counts, creation timestamp, creator-liked badge (`isAuthorLiked`), author info (username, nickname, avatar, ID, secUid). - Supports recursive reply thread extraction (sub-comments) matching parent comments. - Attaches parent-video metadata (`videoId`, `videoUrl`, `videoAuthor`, `videoDesc`) to every comment/reply record. - Pay-Per-Event pricing: **No start fee** ($0.00) and a floor price of **$0.0003 per comment/reply scraped**. - Graceful error handling for missing/invalid videos instead of failing the run. ### How it works 1. **Resolve Video details:** For each video, the Actor first fetches the HTML detail page using `got-scraping` + datacenter proxy to extract the video's rehydration JSON (`__UNIVERSAL_DATA_FOR_REHYDRATION__`). This verifies the video exists and obtains metadata (author, description) + the canonical `aweme_id` (video ID). 2. **Fetch Comments:** It paginates the unsigned TikTok comment list API (`/api/comment/list/`) using plain datacenter proxies with rotated session IDs. It implements a retry backoff strategy for transient empty pages to ensure completeness. 3. **Fetch Replies (Optional):** If `includeReplies` is enabled, for each top-level comment that has `reply_comment_total > 0`, it paginates the TikTok comment reply API (`/api/comment/list/reply/`) to extract all replies. 4. **Cap and Push:** Both comments and replies are streamed into the dataset. The total comments count respects `maxCommentsPerPost`. ### Input | Field | Type | Description | |-------|------|-------------| | `postUrls` | array (required) | TikTok videos to scrape. Each item may be a bare numeric video ID (`7473199106861796654`) or a full video URL (`https://www.tiktok.com/@stoolpresidente/video/7473199106861796654`). | | `maxCommentsPerPost` | integer (optional) | Cap the number of comments (and replies, if included) fetched per video. Defaults to `100`. | | `includeReplies` | boolean (optional) | When enabled, also fetch replies (sub-comments) for each comment. Defaults to `false`. | | `proxyConfiguration` | object | Proxy settings. Datacenter proxies are sufficient. Defaults to `{ "useApifyProxy": true }`. | Example: ```json { "postUrls": [ "https://www.tiktok.com/@stoolpresidente/video/7473199106861796654", "7473199106861796654" ], "maxCommentsPerPost": 100, "includeReplies": true, "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output One flat record per comment/reply: | Field | Type | Description | |-------|------|-------------| | `commentId` | string | Unique TikTok comment ID | | `text` | string or null | Comment body text | | `likeCount` | integer or null | Number of likes on the comment | | `replyCount` | integer or null | Number of replies to this comment | | `createTime` | integer or null | Unix timestamp (seconds) of creation | | `createTimeISO` | string or null | ISO 8601 string of creation time | | `isAuthorLiked` | boolean | `true` if the video creator liked this comment | | `authorUniqueId` | string or null | Author handle / username | | `authorNickname` | string or null | Author nickname | | `authorId` | string or null | Numeric author user ID | | `authorSecUid` | string or null | Author security UID | | `authorAvatar` | string or null | URL of the author's avatar thumbnail | | `parentCommentId` | string or null | Parent comment ID if `isReply` is true | | `replyToReplyId` | string or null | ID of the specific reply this comment is replying to, if nested | | `isReply` | boolean | `true` if this record is a reply, `false` if it is a top-level comment | | `commentUrl` | string or null | Direct URL link to the comment | | `videoId` | string or null | TikTok Video ID | | `videoUrl` | string | URL of the TikTok video | | `videoAuthor` | string or null | Handle of the video creator | | `videoDesc` | string or null | Description of the video | | `scrapeStatus` | string | `success` or `error` | | `scrapeError` | string or null | Error details if `scrapeStatus` is `error` | ### Pay-Per-Event billing | Event | When charged | No discount | Bronze | Silver | Gold | |-------|--------------|-------------|--------|--------|------| | `actor-start` | Once per run (flat start fee). | $0.00 | $0.00 | $0.00 | $0.00 | | `comment` | Once per comment or reply successfully scraped. | $0.0003 | $0.00027 | $0.00024 | $0.00021 | Base pricing matches the category floor ($0.0003 per comment) with a $0 flat start fee. The Bronze/Silver/Gold tiers apply automatically based on the user's Apify Store membership level. Set the prices for these events in the Apify Console. Event names must match the `Actor.charge` calls in `src/main.js` exactly. ### Running locally ```bash apify run --purge ``` Configure your test input in `storage/key_value_stores/default/INPUT.json`. Local runs store results on disk (`storage/datasets/default/`) and do not sync to the Apify Console. # Actor input Schema ## `postUrls` (type: `array`): List of TikTok videos to scrape comments from. Each item can be a full video URL (e.g. 'https://www.tiktok.com/@stoolpresidente/video/7473199106861796654') or a bare numeric video id. ## `maxCommentsPerPost` (type: `integer`): Maximum number of comments (and replies, if included) to fetch per video. Useful for capping cost. ## `includeReplies` (type: `boolean`): When enabled, also fetch replies (sub-comments) for each top-level comment that has any. Replies count toward maxCommentsPerPost and are billed the same as comments. ## `proxyConfiguration` (type: `object`): Proxy settings for the crawler. Datacenter (basic Apify Proxy) is sufficient for TikTok comments; residential is not required. ## Actor input object example ```json { "postUrls": [ "https://www.tiktok.com/@stoolpresidente/video/7473199106861796654" ], "maxCommentsPerPost": 100, "includeReplies": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `comments` (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 = { "postUrls": [ "https://www.tiktok.com/@stoolpresidente/video/7473199106861796654" ] }; // Run the Actor and wait for it to finish const run = await client.actor("gopalakrishnan/tiktok-comments").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 = { "postUrls": ["https://www.tiktok.com/@stoolpresidente/video/7473199106861796654"] } # Run the Actor and wait for it to finish run = client.actor("gopalakrishnan/tiktok-comments").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 '{ "postUrls": [ "https://www.tiktok.com/@stoolpresidente/video/7473199106861796654" ] }' | apify call gopalakrishnan/tiktok-comments --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gopalakrishnan/tiktok-comments", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Comments Scraper", "description": "Scrape public TikTok comments and replies from any video — no browser, no login. Provide video URLs or numeric IDs and get comment text, likes, reply counts, timestamps, author info (username, nickname, ID, secUid), and parent-video metadata. Pay-per-comment .", "version": "1.0", "x-build-id": "fkkxDgV0UFaTnq7vq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gopalakrishnan~tiktok-comments/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gopalakrishnan-tiktok-comments", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gopalakrishnan~tiktok-comments/runs": { "post": { "operationId": "runs-sync-gopalakrishnan-tiktok-comments", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gopalakrishnan~tiktok-comments/run-sync": { "post": { "operationId": "run-sync-gopalakrishnan-tiktok-comments", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "postUrls" ], "properties": { "postUrls": { "title": "TikTok video URLs or ids", "uniqueItems": true, "type": "array", "description": "List of TikTok videos to scrape comments from. Each item can be a full video URL (e.g. 'https://www.tiktok.com/@stoolpresidente/video/7473199106861796654') or a bare numeric video id.", "items": { "type": "string" } }, "maxCommentsPerPost": { "title": "Maximum comments per post", "minimum": 1, "type": "integer", "description": "Maximum number of comments (and replies, if included) to fetch per video. Useful for capping cost.", "default": 100 }, "includeReplies": { "title": "Include replies", "type": "boolean", "description": "When enabled, also fetch replies (sub-comments) for each top-level comment that has any. Replies count toward maxCommentsPerPost and are billed the same as comments.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for the crawler. Datacenter (basic Apify Proxy) is sufficient for TikTok comments; residential is not required.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```