# TikTok Comments Scraper (`electrabot.info/tiktok-comments-scraper`) Actor Scrape all comments from TikTok videos with threaded replies, like counts, author details, and sentiment analysis. No login. Pay per comment. - **URL**: https://apify.com/electrabot.info/tiktok-comments-scraper.md - **Developed by:** [electra bot](https://apify.com/electrabot.info) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 comments 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 Comments Scraper Scrape **all comments from any TikTok video** — text, like counts, reply counts, author details, exact timestamps, threaded replies, and **sentiment analysis on every comment** — as JSON, CSV, or Excel. No login, no cookies, no browser. Paste video URLs and get structured comments back. **Pay per result** — you're charged per comment delivered. Removed or private videos are reported and **not charged**. Pairs with our [TikTok Video Scraper](https://apify.com/electrabot.info/tiktok-video-scraper): that one gives you a video's stats, this one gives you what people said about it. --- ### What can I use it for? - **Audience research** — read what your (or a competitor's) audience actually says, at scale, with sentiment already scored. - **Brand & campaign monitoring** — track the reaction to a sponsored post: is the sentiment shifting, and which comments are driving it? - **Product feedback mining** — the complaints and requests under a viral product video are free market research. - **Influencer vetting** — real engagement looks different from bot engagement; comment text and author data show which is which. - **Training data / AI** — clean, structured, sentiment-labelled short-form text. --- ### Input | Field | Required | Description | |-------|----------|-------------| | **Video URLs or IDs** | ✔ | Full links, `vm.tiktok.com` short links, or bare numeric IDs. | | **Max comments per video** | – | 1–5,000 (default 100). Each comment is one billable result. | | **Include replies** | – | Also fetch replies to each comment, linked by `parentCommentId`. Replies count toward the max. | | **Proxy configuration** | – | **Automatic by default:** datacenter proxy first, escalating to RESIDENTIAL only if TikTok blocks it. | ### Output One record per comment (and per reply): ```json { "commentId": "7650123456789", "videoId": "7650013911164488991", "videoUrl": "https://www.tiktok.com/@nba/video/7650013911164488991", "text": "Frame this forever if Knicks win chip", "likeCount": 107254, "replyCount": 95, "createdAt": "2026-06-11T09:26:26+00:00", "authorHandle": "ajvitolo", "authorName": "AJ", "authorAvatar": "https://p16.tiktokcdn.com/…", "isPinned": false, "isAuthorLiked": true, "isReply": false, "parentCommentId": null, "sentiment": "positive" } ```` **Sentiment** (`positive` / `neutral` / `negative`) is scored on every comment with VADER, tuned for social-media text — no extra call, no extra charge. ### Honest by design If a video has more comments than you asked for, we **tell you** — the run's status message and `SUMMARY` report `commentsAvailable` vs `commentsScraped` per video. A partial scrape is never presented as a complete one. Other reliability guarantees: - **Fail-loud contract** — a changed TikTok API raises a loud error instead of silently delivering an empty dataset. - **Dead videos handled per-item** — a removed or private video is reported (and not charged) while the rest of the batch continues. - **Tiered proxy** — datacenter first, automatic escalation to residential only when blocked. - **Resumable** — if a run is aborted or capped, resurrect it: delivered comments are never re-scraped or re-charged. ### Usage from code ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("electrabot.info/tiktok-comments-scraper").call( run_input={ "videoUrls": ["https://www.tiktok.com/@nba/video/7650013911164488991"], "maxComments": 500, "includeReplies": True, } ) rows = list(client.dataset(run["defaultDatasetId"]).iterate_items()) neg = [r for r in rows if r["sentiment"] == "negative"] print(f"{len(neg)}/{len(rows)} negative") ``` ### FAQ **Why did I get fewer comments than the video shows?** TikTok filters some comments server-side (spam, deleted, restricted), so the public count is usually higher than what its API will serve. We always report what was available vs what we delivered — nothing is hidden. **Do replies count as results?** Yes — each reply is a comment record and is billed as one result. Turn **Include replies** off if you only want top-level comments. **Is scraping TikTok legal?** This actor accesses only publicly available comments. You are responsible for complying with applicable laws and TikTok's Terms of Service. *** ### Disclaimer **This is an unofficial tool. It is not affiliated with, endorsed by, sponsored by, or in any way officially connected to TikTok or ByteDance Ltd.** "TikTok" and related names, marks, and logos are trademarks of their respective owners and are used here for descriptive purposes only. This actor accesses only **publicly available** information. You are responsible for ensuring your use complies with applicable laws, TikTok's Terms of Service, and applicable rate-limiting rules. Use it ethically and at your own risk. # Actor input Schema ## `videoUrls` (type: `array`): TikTok video links (https://www.tiktok.com/@user/video/123...), short links (vm.tiktok.com/...), or bare numeric video IDs. ## `maxComments` (type: `integer`): Comments to scrape per video (1-5000). Each comment is one billable result. If a video has more, the run reports exactly how many were available vs scraped. ## `includeReplies` (type: `boolean`): Also fetch replies to each comment (threaded, linked by parentCommentId). Replies count toward 'Max comments per video'. ## `proxyConfiguration` (type: `object`): Automatic by default: datacenter proxy first, escalating to RESIDENTIAL only if TikTok blocks it. ## Actor input object example ```json { "videoUrls": [ "https://www.tiktok.com/@nba/video/7650013911164488991" ], "maxComments": 100, "includeReplies": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `comments` (type: `string`): One record per comment (and reply): text, likes, author, sentiment, threading. ## `runSummary` (type: `string`): Per-video comments available vs scraped, plus failures. # 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 = { "videoUrls": [ "https://www.tiktok.com/@nba/video/7650013911164488991" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("electrabot.info/tiktok-comments-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 = { "videoUrls": ["https://www.tiktok.com/@nba/video/7650013911164488991"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("electrabot.info/tiktok-comments-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 '{ "videoUrls": [ "https://www.tiktok.com/@nba/video/7650013911164488991" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call electrabot.info/tiktok-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=electrabot.info/tiktok-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Comments Scraper", "description": "Scrape all comments from TikTok videos with threaded replies, like counts, author details, and sentiment analysis. No login. Pay per comment.", "version": "1.0", "x-build-id": "iTbh3OEkAFqNl0SGP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/electrabot.info~tiktok-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-electrabot.info-tiktok-comments-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/electrabot.info~tiktok-comments-scraper/runs": { "post": { "operationId": "runs-sync-electrabot.info-tiktok-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/electrabot.info~tiktok-comments-scraper/run-sync": { "post": { "operationId": "run-sync-electrabot.info-tiktok-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "videoUrls" ], "properties": { "videoUrls": { "title": "Video URLs or IDs", "type": "array", "description": "TikTok video links (https://www.tiktok.com/@user/video/123...), short links (vm.tiktok.com/...), or bare numeric video IDs.", "items": { "type": "string" } }, "maxComments": { "title": "Max comments per video", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Comments to scrape per video (1-5000). Each comment is one billable result. If a video has more, the run reports exactly how many were available vs scraped.", "default": 100 }, "includeReplies": { "title": "Include replies", "type": "boolean", "description": "Also fetch replies to each comment (threaded, linked by parentCommentId). Replies count toward 'Max comments per video'.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Automatic by default: datacenter proxy first, escalating to RESIDENTIAL only if TikTok blocks it.", "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 } } } } } } } } } } ```