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Apify Scrapers

Apify 抓取工具

Overview

概述

Scrape content from major social platforms using Apify actors. Each platform has optimized settings for cost and quality.
使用Apify actors从主流社交平台抓取内容。每个平台都针对成本和质量优化了设置。

Quick Decision Tree

快速决策树

What do you want to scrape?
│
├── Social Media Posts
│   ├── Twitter/X → references/twitter.md
│   │   └── Script: scripts/scrape_twitter_ai_trends.py
│   │
│   ├── Reddit → references/reddit.md
│   │   └── Script: scripts/scrape_reddit_ai_tech.py
│   │
│   ├── LinkedIn → references/linkedin.md
│   │   └── Script: scripts/scrape_linkedin_posts.py
│   │
│   ├── Instagram → references/instagram.md
│   │   └── Script: scripts/scrape_instagram.py
│   │   └── Modes: profile, posts, hashtag, reels, comments
│   │
│   ├── Facebook → references/facebook.md
│   │   └── Script: scripts/scrape_facebook.py
│   │   └── Modes: page, posts, reviews, groups, marketplace
│   │
│   ├── TikTok → references/multi-platform.md
│   │   └── Script: scripts/scrape_multi_platform.py
│   │
│   └── YouTube → references/multi-platform.md
│       └── Script: scripts/scrape_multi_platform.py
│
├── Business/Places
│   ├── Google Maps businesses → references/google-maps.md
│   │   └── Script: scripts/scrape_google_maps.py
│   │   └── Modes: search, place, reviews
│   │
│   └── Contact info from websites → references/contact-enrichment.md
│       └── Script: scripts/scrape_contact_info.py
│       └── Extract: emails, phone numbers, social profiles
│
├── Auto-detect URL type → references/url-detect.md
│   └── Script: scripts/scrape_content_by_url.py
│
├── Trend Analysis (NEW)
│   └── Enriched trend analysis → workflows/trend-analysis.md
│       └── Script: scripts/analyze_trends.py
│       └── Features: velocity scoring, lifecycle staging, opportunity scoring
│
└── Workflows (multi-step)
    ├── Lead generation → workflows/lead-generation.md
    ├── Influencer discovery → workflows/influencer-discovery.md
    ├── Competitor analysis → workflows/competitor-intel.md
    ├── Trend analysis → workflows/trend-analysis.md
    └── Competitor Ads Intelligence (NEW) → workflows/competitor-ads.md
        └── Script: scripts/scrape_competitor_ads.py
        └── Platforms: Facebook Ads Library, Google Ads Transparency
        └── Features: Spend estimates, creative analysis, benchmarking
你想要抓取什么内容？
│
├── 社交媒体帖子
│   ├── Twitter/X → references/twitter.md
│   │   └── Script: scripts/scrape_twitter_ai_trends.py
│   │
│   ├── Reddit → references/reddit.md
│   │   └── Script: scripts/scrape_reddit_ai_tech.py
│   │
│   ├── LinkedIn → references/linkedin.md
│   │   └── Script: scripts/scrape_linkedin_posts.py
│   │
│   ├── Instagram → references/instagram.md
│   │   └── Script: scripts/scrape_instagram.py
│   │   └── Modes: profile, posts, hashtag, reels, comments
│   │
│   ├── Facebook → references/facebook.md
│   │   └── Script: scripts/scrape_facebook.py
│   │   └── Modes: page, posts, reviews, groups, marketplace
│   │
│   ├── TikTok → references/multi-platform.md
│   │   └── Script: scripts/scrape_multi_platform.py
│   │
│   └── YouTube → references/multi-platform.md
│       └── Script: scripts/scrape_multi_platform.py
│
├── 商家/场所
│   ├── Google Maps商家 → references/google-maps.md
│   │   └── Script: scripts/scrape_google_maps.py
│   │   └── Modes: search, place, reviews
│   │
│   └── 从网站提取联系信息 → references/contact-enrichment.md
│       └── Script: scripts/scrape_contact_info.py
│       └── Extract: emails, phone numbers, social profiles
│
├── 自动识别URL类型 → references/url-detect.md
│   └── Script: scripts/scrape_content_by_url.py
│
├── 趋势分析（新增功能）
│   └── 增强型趋势分析 → workflows/trend-analysis.md
│       └── Script: scripts/analyze_trends.py
│       └── Features: velocity scoring, lifecycle staging, opportunity scoring
│
└── 多步骤工作流
    ├── 线索生成 → workflows/lead-generation.md
    ├── 网红发掘 → workflows/influencer-discovery.md
    ├── 竞品分析 → workflows/competitor-intel.md
    ├── 趋势分析 → workflows/trend-analysis.md
    └── 竞品广告情报（新增功能） → workflows/competitor-ads.md
        └── Script: scripts/scrape_competitor_ads.py
        └── Platforms: Facebook Ads Library, Google Ads Transparency
        └── Features: Spend estimates, creative analysis, benchmarking

Environment Setup

环境设置

bash
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bash
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Required in .env

Required in .env

APIFY_TOKEN=apify_api_xxxxx

Get your API key: https://console.apify.com/account/integrations
APIFY_TOKEN=apify_api_xxxxx

获取你的API密钥：https://console.apify.com/account/integrations

Common Usage Patterns

常见使用模式

Scrape Twitter Trends

抓取Twitter热门内容

bash
python scripts/scrape_twitter_ai_trends.py --query "AI agents" --max-tweets 50
bash
python scripts/scrape_twitter_ai_trends.py --query "AI agents" --max-tweets 50

Scrape Reddit Discussions

抓取Reddit讨论内容

bash
python scripts/scrape_reddit_ai_tech.py --subreddits "MachineLearning,LocalLLaMA" --max-posts 100
bash
python scripts/scrape_reddit_ai_tech.py --subreddits "MachineLearning,LocalLLaMA" --max-posts 100

Scrape LinkedIn Author

抓取LinkedIn作者帖子

bash
python scripts/scrape_linkedin_posts.py author "https://linkedin.com/in/username" --max-posts 30
bash
python scripts/scrape_linkedin_posts.py author "https://linkedin.com/in/username" --max-posts 30

Auto-detect and Scrape URL

自动识别并抓取URL内容

bash
python scripts/scrape_content_by_url.py "https://x.com/user/status/123456"
bash
python scripts/scrape_content_by_url.py "https://x.com/user/status/123456"

Scrape Instagram Profile

抓取Instagram主页

bash
python scripts/scrape_instagram.py profile "https://instagram.com/username" --max-posts 20
bash
python scripts/scrape_instagram.py profile "https://instagram.com/username" --max-posts 20

Scrape Instagram Hashtag

抓取Instagram话题标签内容

bash
python scripts/scrape_instagram.py hashtag "#artificialintelligence" --max-posts 50
bash
python scripts/scrape_instagram.py hashtag "#artificialintelligence" --max-posts 50

Scrape Instagram Reels

抓取Instagram短视频

bash
python scripts/scrape_instagram.py reels "https://instagram.com/username" --max-reels 30
bash
python scripts/scrape_instagram.py reels "https://instagram.com/username" --max-reels 30

Scrape Facebook Page

抓取Facebook主页

bash
python scripts/scrape_facebook.py page "https://facebook.com/pagename" --max-posts 50
bash
python scripts/scrape_facebook.py page "https://facebook.com/pagename" --max-posts 50

Scrape Facebook Reviews

抓取Facebook评论

bash
python scripts/scrape_facebook.py reviews "https://facebook.com/pagename" --max-reviews 100
bash
python scripts/scrape_facebook.py reviews "https://facebook.com/pagename" --max-reviews 100

Scrape Facebook Marketplace

抓取Facebook Marketplace内容

bash
python scripts/scrape_facebook.py marketplace "laptops in san francisco" --max-items 30
bash
python scripts/scrape_facebook.py marketplace "laptops in san francisco" --max-items 30

Scrape Google Maps Businesses

抓取Google Maps商家

bash
python scripts/scrape_google_maps.py search "AI consulting firms in New York" --max-results 50
bash
python scripts/scrape_google_maps.py search "AI consulting firms in New York" --max-results 50

Scrape Google Maps Reviews

抓取Google Maps评论

bash
python scripts/scrape_google_maps.py reviews "ChIJN1t_tDeuEmsRUsoyG83frY4" --max-reviews 100
bash
python scripts/scrape_google_maps.py reviews "ChIJN1t_tDeuEmsRUsoyG83frY4" --max-reviews 100

Extract Contact Info from Websites

从网站提取联系信息

bash
python scripts/scrape_contact_info.py "https://example.com" --depth 2
bash
python scripts/scrape_contact_info.py "https://example.com" --depth 2

Bulk Contact Enrichment

批量提取联系信息

bash
python scripts/scrape_contact_info.py --urls-file companies.txt --output contacts.json
bash
python scripts/scrape_contact_info.py --urls-file companies.txt --output contacts.json

Scrape Competitor Ads (Single Competitor)

抓取竞品广告（单个竞品）

bash
python scripts/scrape_competitor_ads.py "Nike" --platforms facebook google --country US --days 30
bash
python scripts/scrape_competitor_ads.py "Nike" --platforms facebook google --country US --days 30

Compare Multiple Competitors' Ads

对比多个竞品的广告

bash
python scripts/scrape_competitor_ads.py "Nike" "Adidas" "Puma" --compare --output comparison.json
bash
python scripts/scrape_competitor_ads.py "Nike" "Adidas" "Puma" --compare --output comparison.json

Discover Advertisers by Keyword

按关键词查找广告主

bash
python scripts/scrape_competitor_ads.py --search "running shoes" --country US --max-ads 200
bash
python scripts/scrape_competitor_ads.py --search "running shoes" --country US --max-ads 200

Filter Competitor Ads by Media Type

按媒体类型过滤竞品广告

bash
python scripts/scrape_competitor_ads.py "Netflix" "Disney+" --platforms facebook --media-types video --days 7
bash
python scripts/scrape_competitor_ads.py "Netflix" "Disney+" --platforms facebook --media-types video --days 7

Analyze Trends (NEW)

趋势分析（新增功能）

bash
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bash
undefined

Analyze specific topic with enrichments

分析特定主题并获取增强信息

python scripts/analyze_trends.py "artificial intelligence" --sources google instagram tiktok --days 90
python scripts/analyze_trends.py "artificial intelligence" --sources google instagram tiktok --days 90

Discover trending topics in category

发现特定类别的热门主题

python scripts/analyze_trends.py --category technology --discover --top 50
python scripts/analyze_trends.py --category technology --discover --top 50

Compare multiple trends

对比多个主题的趋势

python scripts/analyze_trends.py "AI" "blockchain" "metaverse" --compare
python scripts/analyze_trends.py "AI" "blockchain" "metaverse" --compare

Export HTML trend report

导出HTML格式的趋势报告

python scripts/analyze_trends.py "sustainable fashion" --format html --output trend_report.html
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python scripts/analyze_trends.py "sustainable fashion" --format html --output trend_report.html
undefined

Cost Estimates

成本估算

PlatformActorCost per Item
Twitterkaitoeasyapi/twitter-x-data-tweet-scraper~$0.00025
Reddittrudax/reddit-scraper~$0.001-0.005
LinkedInharvestapi/linkedin-post-search~$0.01-0.05
YouTubestreamers/youtube-scraper~$0.01-0.05
TikTokclockworks/tiktok-scraper~$0.005
Instagram (profile)apify/instagram-profile-scraper~$0.005
Instagram (posts)apify/instagram-post-scraper~$0.002-0.005
Instagram (hashtag)apify/instagram-hashtag-scraper~$0.002-0.005
Instagram (reels)apify/instagram-reel-scraper~$0.005-0.01
Instagram (comments)apify/instagram-comment-scraper~$0.001-0.003
Facebook (page)apify/facebook-pages-scraper~$0.005-0.01
Facebook (posts)apify/facebook-posts-scraper~$0.003-0.005
Facebook (reviews)apify/facebook-reviews-scraper~$0.002-0.005
Facebook (groups)apify/facebook-groups-scraper~$0.005-0.01
Facebook (marketplace)apify/facebook-marketplace-scraper~$0.005-0.01
Google Maps (search)compass/crawler-google-places~$0.01-0.02
Google Maps (place)compass/google-maps-business-scraper~$0.01
Google Maps (reviews)compass/google-maps-reviews-scraper~$0.003-0.005
Contact Enrichmentlukaskrivka/contact-info-scraper~$0.01-0.03
Google Trendsapify/google-trends-scraper~$0.01
Trend Analysis (multi)Multiple actors~$0.50-1.50/run
Facebook Ads Libraryapify/facebook-ads-scraper~$0.75/1K ads
Facebook Ads (alt)curious_coder/facebook-ads-library-scraper~$0.50/1K ads
Google Ads Transparencylexis-solutions/google-ads-scraper~$1.00/1K ads
Google Ads (alt)xtech/google-ad-transparency-scraper~$0.80/1K ads
平台Actor工具单条数据成本
Twitterkaitoeasyapi/twitter-x-data-tweet-scraper~$0.00025
Reddittrudax/reddit-scraper~$0.001-0.005
LinkedInharvestapi/linkedin-post-search~$0.01-0.05
YouTubestreamers/youtube-scraper~$0.01-0.05
TikTokclockworks/tiktok-scraper~$0.005
Instagram (主页)apify/instagram-profile-scraper~$0.005
Instagram (帖子)apify/instagram-post-scraper~$0.002-0.005
Instagram (话题标签)apify/instagram-hashtag-scraper~$0.002-0.005
Instagram (短视频)apify/instagram-reel-scraper~$0.005-0.01
Instagram (评论)apify/instagram-comment-scraper~$0.001-0.003
Facebook (主页)apify/facebook-pages-scraper~$0.005-0.01
Facebook (帖子)apify/facebook-posts-scraper~$0.003-0.005
Facebook (评论)apify/facebook-reviews-scraper~$0.002-0.005
Facebook (群组)apify/facebook-groups-scraper~$0.005-0.01
Facebook (Marketplace)apify/facebook-marketplace-scraper~$0.005-0.01
Google Maps (搜索)compass/crawler-google-places~$0.01-0.02
Google Maps (商家详情)compass/google-maps-business-scraper~$0.01
Google Maps (评论)compass/google-maps-reviews-scraper~$0.003-0.005
联系信息提取lukaskrivka/contact-info-scraper~$0.01-0.03
Google Trendsapify/google-trends-scraper~$0.01
多平台趋势分析多个Actor工具~$0.50-1.50/次运行
Facebook Ads Libraryapify/facebook-ads-scraper~$0.75/千条广告
Facebook Ads (替代工具)curious_coder/facebook-ads-library-scraper~$0.50/千条广告
Google Ads Transparencylexis-solutions/google-ads-scraper~$1.00/千条广告
Google Ads (替代工具)xtech/google-ad-transparency-scraper~$0.80/千条广告

Output Location

输出位置

All scraped data saves to 
.tmp/
with timestamped filenames:
  • .tmp/twitter_ai_trends_YYYYMMDD.json
  • .tmp/reddit_ai_tech_YYYYMMDD.json
  • .tmp/linkedin_posts_YYYYMMDD_HHMMSS.json
所有抓取的数据将保存到
.tmp/
目录下，文件名包含时间戳：
  • .tmp/twitter_ai_trends_YYYYMMDD.json
  • .tmp/reddit_ai_tech_YYYYMMDD.json
  • .tmp/linkedin_posts_YYYYMMDD_HHMMSS.json

Security Notes

安全说明

Credential Handling

凭证管理

  • Store 
    APIFY_TOKEN
    in 
    .env
    file (never commit to git)
  • Rotate API tokens periodically via Apify Console
  • Never log or print API tokens in script output
  • Use environment variables, not hardcoded values
  • 将
    APIFY_TOKEN
    存储在
    .env
    文件中（切勿提交到git仓库）
  • 定期通过Apify控制台轮换API令牌
  • 切勿在脚本输出中记录或打印API令牌
  • 使用环境变量，而非硬编码值

Data Privacy

数据隐私

  • Scraped data contains only publicly available content
  • Social media posts may include PII (names, handles, profile info)
  • Data is stored locally in 
    .tmp/
    directory
  • No data is retained by Apify after actor run completes
  • Consider data minimization - only scrape what you need
  • 抓取的数据仅包含公开可用内容
  • 社交媒体帖子可能包含个人可识别信息（姓名、账号、主页信息）
  • 数据存储在本地
    .tmp/
    目录中
  • Apify在Actor运行完成后不会保留任何数据
  • 遵循数据最小化原则——仅抓取你需要的内容

Access Scopes

访问权限

  • Apify tokens have full account access (no granular scopes)
  • Use separate Apify accounts for different projects if needed
  • Monitor usage via Apify Console dashboard
  • Apify令牌拥有全账户访问权限（无细粒度权限）
  • 如有需要，可为不同项目使用独立的Apify账户
  • 通过Apify控制台仪表板监控使用情况

Compliance Considerations

合规性注意事项

  • Terms of Service: Respect each platform's ToS (Twitter, Reddit, LinkedIn)
  • Rate Limiting: Actors have built-in rate limiting to avoid bans
  • Robots.txt: Some actors may bypass robots.txt - use responsibly
  • GDPR: Scraped PII may be subject to GDPR if EU residents
  • Ethical Use: Only scrape public data; never bypass authentication
  • Proxy Ethics: Residential proxies should be used ethically
  • 服务条款：遵守各平台的服务条款（Twitter、Reddit、LinkedIn等）
  • 速率限制：Actor内置速率限制功能，避免被封禁
  • Robots.txt：部分Actor可能会绕过robots.txt——请负责任地使用
  • GDPR：如果抓取的个人可识别信息涉及欧盟居民，可能受GDPR约束
  • 伦理使用：仅抓取公开数据；切勿绕过身份验证机制
  • 代理伦理：应负责任地使用住宅代理

Troubleshooting

故障排除

Common Issues

常见问题

Issue: Actor run failed

问题：Actor运行失败

Symptoms: Script terminates with "Actor run failed" or timeout error Cause: Invalid actor ID, insufficient proxy credits, or actor configuration issue Solution:
  • Verify the actor ID is correct in the script
  • Check Apify Console for actor run logs
  • Ensure proxy settings match actor requirements
  • Try running with default proxy settings first
症状：脚本终止并显示"Actor run failed"或超时错误 原因：无效的Actor ID、代理点数不足或Actor配置问题 解决方案：
  • 验证脚本中的Actor ID是否正确
  • 查看Apify控制台中的Actor运行日志
  • 确保代理设置符合Actor的要求
  • 先尝试使用默认代理设置运行

Issue: Empty results returned

问题：返回空结果

Symptoms: Script completes but returns 0 items Cause: Content blocked by platform, invalid query, or proxy being detected Solution:
  • Try a different proxy type (residential vs datacenter)
  • Simplify the search query
  • Reduce the number of results requested
  • Check if the platform is blocking scraping attempts
症状：脚本运行完成，但返回0条数据 原因：内容被平台屏蔽、查询无效或代理被检测到 解决方案：
  • 尝试使用不同类型的代理（住宅代理 vs 数据中心代理）
  • 简化搜索查询
  • 减少请求的结果数量
  • 检查平台是否在阻止抓取尝试

Issue: Rate limited by platform

问题：被平台速率限制

Symptoms: Script fails with 429 errors or "rate limited" messages Cause: Too many requests in a short time period Solution:
  • Add delays between requests (actor settings)
  • Reduce concurrent requests
  • Use proxy rotation
  • Wait and retry after a cooldown period
症状：脚本运行失败，显示429错误或"rate limited"消息 原因：短时间内发送了过多请求 解决方案：
  • 在请求之间添加延迟（Actor设置中配置）
  • 减少并发请求数
  • 使用代理轮换
  • 等待冷却期后重试

Issue: Invalid API token

问题：无效的API令牌

Symptoms: Authentication error or "invalid token" message Cause: Token expired, revoked, or incorrectly set Solution:
  • Regenerate API token in Apify Console
  • Verify token is correctly set in 
    .env
    file
  • Check for leading/trailing whitespace in token
  • Ensure 
    APIFY_TOKEN
    environment variable is loaded
症状：身份验证错误或"invalid token"消息 原因：令牌过期、被吊销或设置错误 解决方案：
  • 在Apify控制台中重新生成API令牌
  • 验证
    .env
    文件中的令牌设置是否正确
  • 检查令牌是否有前导或尾随空格
  • 确保
    APIFY_TOKEN
    环境变量已正确加载

Issue: Proxy connection errors

问题：代理连接错误

Symptoms: Connection timeout or proxy errors Cause: Proxy pool exhausted or geo-restriction issues Solution:
  • Switch proxy type (basic, residential, or datacenter)
  • Verify proxy credit balance in Apify Console
  • Try a different proxy country/region
  • Disable proxy to test if that's the root cause
症状：连接超时或代理错误 原因：代理池耗尽或地理限制问题 解决方案：
  • 切换代理类型（基础代理、住宅代理或数据中心代理）
  • 检查Apify控制台中的代理点数余额
  • 尝试使用不同国家/地区的代理
  • 禁用代理以测试是否为问题根源

Resources

参考资源

Platform References

平台参考文档

  • references/twitter.md - Twitter/X scraping details
  • references/reddit.md - Reddit scraping with subreddit targeting
  • references/linkedin.md - LinkedIn post scraping (author or search mode)
  • references/instagram.md - Instagram profile, posts, hashtag, reels, and comments scraping
  • references/facebook.md - Facebook page, posts, reviews, groups, and marketplace scraping
  • references/multi-platform.md - TikTok and YouTube scraping
  • references/url-detect.md - Auto-detect URL type and scrape
  • references/twitter.md - Twitter/X抓取详细说明
  • references/reddit.md - 针对子版块的Reddit抓取
  • references/linkedin.md - LinkedIn帖子抓取（作者模式或搜索模式）
  • references/instagram.md - Instagram主页、帖子、话题标签、短视频和评论抓取
  • references/facebook.md - Facebook主页、帖子、评论、群组和Marketplace抓取
  • references/multi-platform.md - TikTok和YouTube抓取
  • references/url-detect.md - 自动识别URL类型并抓取

Business/Places References

商家/场所参考文档

  • references/google-maps.md - Google Maps business search, place details, and reviews
  • references/contact-enrichment.md - Extract emails, phone numbers, and social profiles from websites
  • references/google-maps.md - Google Maps商家搜索、详情和评论抓取
  • references/contact-enrichment.md - 从网站提取邮箱、电话和社交主页信息

Workflow References

工作流参考文档

  • workflows/lead-generation.md - Multi-step lead generation workflow
  • workflows/influencer-discovery.md - Find and analyze influencers across platforms
  • workflows/competitor-intel.md - Competitive intelligence gathering workflow
  • workflows/trend-analysis.md - Enriched multi-platform trend analysis with scoring
  • workflows/lead-generation.md - 多步骤线索生成工作流
  • workflows/influencer-discovery.md - 跨平台发掘和分析网红
  • workflows/competitor-intel.md - 竞品情报收集工作流
  • workflows/trend-analysis.md - 带评分功能的增强型多平台趋势分析

Integration Patterns

集成模式

Scrape and Enrich

抓取与富集

Skills: apify-scrapers → parallel-research Use case: Scrape social media posts, then enrich with deep research Flow:
  1. Scrape Twitter/Reddit for mentions of a topic
  2. Extract company names or URLs from posts
  3. Use parallel-research to get detailed info on each company
技能：apify-scrapers → parallel-research 使用场景：抓取社交媒体帖子，然后进行深度研究富集 流程：
  1. 抓取Twitter/Reddit上关于某个主题的提及内容
  2. 从帖子中提取公司名称或URL
  3. 使用parallel-research获取每家公司的详细信息

Scrape and Summarize

抓取与总结

Skills: apify-scrapers → content-generation Use case: Create newsletter content from social media trends Flow:
  1. Scrape trending AI posts from Twitter
  2. Pass scraped data to content-generation summarize
  3. Generate a formatted newsletter section
技能：apify-scrapers → content-generation 使用场景：从社交媒体趋势创建新闻通讯内容 流程：
  1. 抓取Twitter上的热门AI帖子
  2. 将抓取的数据传递给content-generation进行总结
  3. 生成格式化的新闻通讯板块

Scrape and Archive

抓取与存档

Skills: apify-scrapers → google-workspace Use case: Save scraped data to Google Drive for team access Flow:
  1. Scrape LinkedIn posts from target accounts
  2. Format data as CSV or JSON
  3. Upload to Google Drive client folder via google-workspace
技能：apify-scrapers → google-workspace 使用场景：将抓取的数据保存到Google Drive供团队访问 流程：
  1. 抓取目标账户的LinkedIn帖子
  2. 将数据格式化为CSV或JSON
  3. 通过google-workspace上传到Google Drive的客户文件夹

Trend Analysis + Content Strategy

趋势分析 + 内容策略

Skills: apify-scrapers (trend-analysis) → content-generation Use case: Identify trending topics and create content strategy Flow:
  1. Run trend analysis: 
    python scripts/analyze_trends.py "AI productivity" --sources all
  2. Review lifecycle stage and opportunity score
  3. Use content-generation to create content for high-opportunity trends
  4. Focus on emerging trends with high velocity scores
技能：apify-scrapers（趋势分析）→ content-generation 使用场景：识别热门主题并制定内容策略 流程：
  1. 运行趋势分析：
    python scripts/analyze_trends.py "AI productivity" --sources all
  2. 查看生命周期阶段和机会评分
  3. 使用content-generation为高机会趋势创建内容
  4. 重点关注具有高增长速度评分的新兴趋势

Competitive Trend Monitoring

竞品趋势监控

Skills: apify-scrapers (trend-analysis) → parallel-research Use case: Monitor competitor visibility in trending topics Flow:
  1. Analyze industry trends: 
    python scripts/analyze_trends.py --category "your-industry" --discover
  2. Compare your brand vs competitors in those trends
  3. Use parallel-research for deep dive on gaps
  4. Generate competitive intelligence report
技能：apify-scrapers（趋势分析）→ parallel-research 使用场景：监控竞品在热门主题中的曝光度 流程：
  1. 分析行业趋势：
    python scripts/analyze_trends.py --category "your-industry" --discover
  2. 对比你的品牌与竞品在这些趋势中的表现
  3. 使用parallel-research深入分析差距
  4. 生成竞品情报报告