apify-content-analytics by apify/agent-skills
npx skills add https://github.com/apify/agent-skills --skill apify-content-analytics使用 Apify Actors 追踪和分析内容表现,从多个平台提取互动指标。
(无需预先检查)
APIFY_TOKEN 的 .env 文件--env-file 支持)mcpc CLI 工具:npm install -g @apify/mcpc复制此清单并追踪进度:
Task Progress:
- [ ] Step 1: Identify content analytics type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analytics script
- [ ] Step 5: Summarize findings
根据分析需求选择合适的 Actor:
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| 用户需求 | Actor ID | 最佳用途 |
|---|---|---|
| 帖子互动指标 | apify/instagram-post-scraper | 帖子表现 |
| Reels 表现 | apify/instagram-reel-scraper | Reels 分析 |
| 粉丝增长追踪 | apify/instagram-followers-count-scraper | 增长指标 |
| 评论互动 | apify/instagram-comment-scraper | 评论分析 |
| 话题标签表现 | apify/instagram-hashtag-scraper | 品牌话题标签 |
| 提及追踪 | apify/instagram-tagged-scraper | 标签追踪 |
| 综合指标 | apify/instagram-scraper | 完整数据 |
| 基于 API 的分析 | apify/instagram-api-scraper | API 访问 |
| Facebook 帖子表现 | apify/facebook-posts-scraper | 帖子指标 |
| 反应分析 | apify/facebook-likes-scraper | 互动类型 |
| Facebook Reels 指标 | apify/facebook-reels-scraper | Reels 表现 |
| 广告表现追踪 | apify/facebook-ads-scraper | 广告分析 |
| Facebook 评论分析 | apify/facebook-comments-scraper | 评论互动 |
| 页面表现审计 | apify/facebook-pages-scraper | 页面指标 |
| YouTube 视频指标 | streamers/youtube-scraper | 视频表现 |
| YouTube Shorts 分析 | streamers/youtube-shorts-scraper | Shorts 表现 |
| TikTok 内容指标 | clockworks/tiktok-scraper | TikTok 分析 |
使用 mcpc 动态获取 Actor 的输入架构和详细信息:
export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"
将 ACTOR_ID 替换为选定的 Actor(例如 apify/instagram-post-scraper)。
这将返回:
运行前询问:
快速回答(在聊天中显示,不保存文件):
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT'
CSV:
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT' \
--output YYYY-MM-DD_OUTPUT_FILE.csv \
--format csv
JSON:
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT' \
--output YYYY-MM-DD_OUTPUT_FILE.json \
--format json
完成后报告:
APIFY_TOKEN not found - 请用户创建包含 APIFY_TOKEN=your_token 的 .env 文件
mcpc not found - 请用户安装 npm install -g @apify/mcpc
Actor not found - 检查 Actor ID 拼写
Run FAILED - 请用户检查错误输出中的 Apify 控制台链接
Timeout - 减少输入大小或增加 --timeout
每周安装量
1.7K
代码仓库
GitHub 星标数
1.6K
首次出现
Jan 28, 2026
安全审计
安装于
opencode1.6K
codex1.6K
gemini-cli1.6K
cursor1.5K
github-copilot1.5K
kimi-cli1.5K
Track and analyze content performance using Apify Actors to extract engagement metrics from multiple platforms.
(No need to check it upfront)
.env file with APIFY_TOKEN--env-file support)mcpc CLI tool: npm install -g @apify/mcpcCopy this checklist and track progress:
Task Progress:
- [ ] Step 1: Identify content analytics type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analytics script
- [ ] Step 5: Summarize findings
Select the appropriate Actor based on analytics needs:
| User Need | Actor ID | Best For |
|---|---|---|
| Post engagement metrics | apify/instagram-post-scraper | Post performance |
| Reel performance | apify/instagram-reel-scraper | Reel analytics |
| Follower growth tracking | apify/instagram-followers-count-scraper | Growth metrics |
| Comment engagement | apify/instagram-comment-scraper | Comment analysis |
| Hashtag performance | apify/instagram-hashtag-scraper |
Fetch the Actor's input schema and details dynamically using mcpc:
export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"
Replace ACTOR_ID with the selected Actor (e.g., apify/instagram-post-scraper).
This returns:
Before running, ask:
Quick answer (display in chat, no file):
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT'
CSV:
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT' \
--output YYYY-MM-DD_OUTPUT_FILE.csv \
--format csv
JSON:
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT' \
--output YYYY-MM-DD_OUTPUT_FILE.json \
--format json
After completion, report:
APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token mcpc not found - Ask user to install npm install -g @apify/mcpc Actor not found - Check Actor ID spelling Run FAILED - Ask user to check Apify console link in error output Timeout - Reduce input size or increase --timeout
Weekly Installs
1.7K
Repository
GitHub Stars
1.6K
First Seen
Jan 28, 2026
Security Audits
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Installed on
opencode1.6K
codex1.6K
gemini-cli1.6K
cursor1.5K
github-copilot1.5K
kimi-cli1.5K
99,500 周安装
| Branded hashtags |
| Mention tracking | apify/instagram-tagged-scraper | Tag tracking |
| Comprehensive metrics | apify/instagram-scraper | Full data |
| API-based analytics | apify/instagram-api-scraper | API access |
| Facebook post performance | apify/facebook-posts-scraper | Post metrics |
| Reaction analysis | apify/facebook-likes-scraper | Engagement types |
| Facebook Reels metrics | apify/facebook-reels-scraper | Reels performance |
| Ad performance tracking | apify/facebook-ads-scraper | Ad analytics |
| Facebook comment analysis | apify/facebook-comments-scraper | Comment engagement |
| Page performance audit | apify/facebook-pages-scraper | Page metrics |
| YouTube video metrics | streamers/youtube-scraper | Video performance |
| YouTube Shorts analytics | streamers/youtube-shorts-scraper | Shorts performance |
| TikTok content metrics | clockworks/tiktok-scraper | TikTok analytics |