scraping-tiktok-comments

该工具基于Apify的TikTok评论抓取actor，可抓取任意TikTok视频的评论数据，支持配置是否包含回复、最大抓取数量等参数。输出含评论者用户名、评论内容、点赞数、回复数、时间戳等字段，可导出为CSV/JSON格式。适用于情感分析师、品牌监测人员及内容研究者，需配置APIFY_TOKEN，可处理无评论、视频失效等边缘情况。

apidojo-io

热度 8.64

最近更新 2026-09-03 04:38:33

分类：数据依赖：代码执行 / 第三方 API / MCP 服务 / 读写文件应用场景：数据处理 / 市场分析 / 研究 / 社交媒体

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add scraping-tiktok-comments

Metadata

name: scraping-tiktok-comments
description: Scrapes comments from any TikTok video using apidojo's TikTok Comments scraper on Apify. Triggers when the user asks to: get all comments on a TikTok video, export TikTok comment data, scrape what viewers are saying on a TikTok post, fetch comment text and likes from a TikTok URL, collect TikTok comment threads for analysis, or download comments from a viral TikTok video. Returns commenter username, comment text, like count, reply count, and timestamp per comment. Ideal for sentiment analysts, brand monitors, and content researchers.
license: Apache-2.0
metadata: {"author":"apidojo","version":"1.0","apify-actor":"apidojo/tiktok-comments-scraper"}

Scraping TikTok Comments

Exports all comments from any TikTok video URL. Returns the raw comment dataset for sentiment analysis, community research, or product feedback extraction.

Prerequisites

APIFY_TOKEN environment variable set
Optional: Apify MCP server installed

Inputs

Parameter	Type	Required	Default	Notes
`startUrls`	array	✅	`[]`	TikTok video URLs to scrape comments from
`includeReplies`	boolean	Optional	`false`	Include reply comments (nested)
`maxItems`	number	Optional	Unlimited	Maximum comments to return
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Validate video URLs
- [ ] Step 2: Run tiktok-comments-scraper
- [ ] Step 3: Poll for SUCCEEDED
- [ ] Step 4: Deliver comment dataset

Step 2: Run the Actor

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

# Quick answer (prints table to chat)
node scripts/run_actor.js \
  --actor "apidojo~tiktok-comments-scraper" \
  --input '{"param": "value"}'

# Save as CSV
node scripts/run_actor.js \
  --actor "apidojo~tiktok-comments-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.csv --format csv

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~tiktok-comments-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.json --format json

APIFY_TOKEN must be set in environment or .env file.

If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~tiktok-comments-scraper"
Input:
{
  "videoUrls": ["https://www.tiktok.com/@user/video/123456"],
  "maxItems": 200,
  "includeReplies": false
}

REST API fallback:

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tiktok-comments-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"videoUrls": ["<url>"], "maxItems": 200}'

Save id as RUN_ID. Poll until status = SUCCEEDED:

curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=$APIFY_TOKEN" | grep '"status"'

Fetch results:

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN&format=json"

Step 3: Handle Edge Cases

0 comments: Video may have comments disabled or be private. Report to user.
Video deleted or unavailable: Actor returns error — remove URL from batch and notify.
Comment count less than expected: TikTok filters spam comments server-side; this is expected.

Output Format

# TikTok Comment Dataset
Video: <url> | Comments collected: N | Includes replies: YES/NO

| Comment ID | Author | Text | Likes | Replies | Timestamp |
|------------|--------|------|-------|---------|-----------|
| ...        | ...    | ...  | ...   | ...     | ...       |

Available fields: id, text, authorUsername, diggCount, replyCount, createTime,
isReply, parentCommentId

Troubleshooting

Comments disabled: Creator has disabled comments — no workaround. Truncated comments: Some comments may be cut off by TikTok's API; full text available via video page.