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.envAPIFY_TOKEN--env-filemcpcnpm install -g @apify/mcpcAPIFY_TOKEN.env--env-filemcpcnpm install -g @apify/mcpcTask Progress:
- [ ] Step 1: Understand user goal and select Actor
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the scraper script
- [ ] Step 5: Summarize results and offer follow-ups任务进度:
- [ ] 步骤1: 理解用户目标并选择Actor
- [ ] 步骤2: 通过mcpc获取Actor schema
- [ ] 步骤3: 询问用户偏好（格式、文件名）
- [ ] 步骤4: 运行抓取脚本
- [ ] 步骤5: 总结结果并提供后续建议| Actor ID | Best For |
|---|---|
| Profile data, follower counts, bio info |
| Individual post details, engagement metrics |
| Comment extraction, sentiment analysis |
| Hashtag content, trending topics |
| Hashtag performance metrics |
| Reels content and metrics |
| Search users, places, hashtags |
| Posts tagged with specific accounts |
| Follower count tracking |
| Comprehensive Instagram data |
| API-based Instagram access |
| Bulk comment/post export |
| Actor ID | 适用场景 |
|---|---|
| 主页数据、粉丝数、个人简介信息 |
| 单条帖子详情、互动指标 |
| 评论提取、情感分析 |
| 话题内容、热门主题 |
| 话题表现指标 |
| Reels内容及指标 |
| 搜索用户、地点、话题 |
| 标记特定账号的帖子 |
| 粉丝数跟踪 |
| 全面的Instagram数据 |
| 基于API的Instagram访问 |
| 批量导出评论/帖子 |
| Actor ID | Best For |
|---|---|
| Page data, metrics, contact info |
| Emails, phones, addresses from pages |
| Post content and engagement |
| Comment extraction |
| Reaction analysis |
| Page reviews |
| Group content and members |
| Event data |
| Ad creative and targeting |
| Search results |
| Reels content |
| Photo extraction |
| Marketplace listings |
| Follower/following lists |
| Actor ID | 适用场景 |
|---|---|
| 主页数据、指标、联系信息 |
| 主页的邮箱、电话、地址 |
| 帖子内容及互动 |
| 评论提取 |
| 互动分析 |
| 主页评论 |
| 群组内容及成员 |
| 活动数据 |
| 广告创意及定向 |
| 搜索结果 |
| Reels内容 |
| 图片提取 |
| 集市列表 |
| 粉丝/关注列表 |
| Actor ID | Best For |
|---|---|
| Comprehensive TikTok data |
| Free TikTok extraction |
| Profile data |
| Video details and metrics |
| Comment extraction |
| Follower lists |
| Find users by keywords |
| Hashtag content |
| Trending sounds |
| Ad content |
| Discover page content |
| Explore content |
| Trending content |
| Live stream data |
| Actor ID | 适用场景 |
|---|---|
| 全面的TikTok数据 |
| 免费TikTok数据提取 |
| 主页数据 |
| 视频详情及指标 |
| 评论提取 |
| 粉丝列表 |
| 通过关键词查找用户 |
| 话题内容 |
| 热门音效 |
| 广告内容 |
| 发现页内容 |
| 探索页内容 |
| 热门内容 |
| 直播数据 |
| Actor ID | Best For |
|---|---|
| Video data and metrics |
| Channel information |
| Comment extraction |
| Shorts content |
| Videos by hashtag |
| Actor ID | 适用场景 |
|---|---|
| 视频数据及指标 |
| 频道信息 |
| 评论提取 |
| Shorts内容 |
| 按话题分类的视频 |
| Actor ID | Best For |
|---|---|
| Business listings, ratings, contact info |
| Detailed business data |
| Review extraction |
| Email discovery from listings |
| Actor ID | 适用场景 |
|---|---|
| 商家列表、评分、联系信息 |
| 详细商家数据 |
| 评论提取 |
| 从列表中发掘邮箱 |
| Actor ID | Best For |
|---|---|
| Google search results |
| Google Trends data |
| Booking.com hotel data |
| Booking.com reviews |
| TripAdvisor reviews |
| Contact enrichment from URLs |
| Actor ID | 适用场景 |
|---|---|
| Google搜索结果 |
| Google Trends数据 |
| Booking.com酒店数据 |
| Booking.com评论 |
| TripAdvisor评论 |
| 从URL中补充联系信息 |
| Use Case | Primary Actors |
|---|---|
| Lead Generation | |
| Influencer Discovery | |
| Brand Monitoring | |
| Competitor Analysis | |
| Content Analytics | |
| Trend Research | |
| Review Analysis | |
| Audience Analysis | |
| 使用场景 | 首选Actor |
|---|---|
| 线索生成 | |
| 网红发掘 | |
| 品牌监测 | |
| 竞品分析 | |
| 内容分析 | |
| 趋势研究 | |
| 评论分析 | |
| 受众分析 | |
| Workflow | Step 1 | Step 2 |
|---|---|---|
| Lead enrichment | | |
| Influencer vetting | | |
| Competitor deep-dive | | |
| Local business analysis | | |
| 工作流 | 步骤1 | 步骤2 |
|---|---|---|
| 线索补充 | | |
| 网红审核 | | |
| 竞品深度分析 | | |
| 本地商家分析 | | |
export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call search-actors keywords:="SEARCH_KEYWORDS" limit:=10 offset:=0 category:="" | jq -r '.content[0].text'SEARCH_KEYWORDSexport $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call search-actors keywords:="SEARCH_KEYWORDS" limit:=10 offset:=0 category:="" | jq -r '.content[0].text'SEARCH_KEYWORDSexport $(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"ACTOR_IDcompass/crawler-google-placesexport $(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"ACTOR_IDcompass/crawler-google-placesnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT'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 csvnode --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 jsonnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT'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 csvnode --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| If User Got | Suggest Next |
|---|---|
| Business listings | Enrich with |
| Influencer profiles | Analyze engagement with comment scrapers |
| Competitor pages | Deep-dive with post/ad scrapers |
| Trend data | Validate with platform-specific hashtag scrapers |
| 如果用户获取了 | 建议下一步 |
|---|---|
| 商家列表 | 使用 |
| 网红主页 | 使用评论抓取工具分析互动情况 |
| 竞品主页 | 使用帖子/广告抓取工具深入分析 |
| 趋势数据 | 使用平台特定的话题抓取工具验证 |
APIFY_TOKEN not found.envAPIFY_TOKEN=your_tokenmcpc not foundnpm install -g @apify/mcpcActor not foundRun FAILEDTimeout--timeoutAPIFY_TOKEN not foundAPIFY_TOKEN=your_token.envmcpc not foundnpm install -g @apify/mcpcActor not foundRun FAILEDTimeout--timeout