[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-3ae2a5f9-9e2b-4f1e-be84-0082d25d37ba":3,"$fSMs8bTkPOCaNSPnXTSQrUG34kCGAGm98JVWHjuzBdkA":42},{"id":4,"title":5,"description":6,"categoryId":7,"moduleId":8,"tags":9,"prompt":10,"icon":11,"source":12,"sourceUrl":13,"authorId":14,"authorName":15,"isPublic":16,"stars":17,"runs":18,"createdAt":19,"updatedAt":19,"module":20,"category":27,"packages":33},"3ae2a5f9-9e2b-4f1e-be84-0082d25d37ba","apify-audience-analysis","了解Facebook、Instagram、YouTube和TikTok上的受众人口统计、偏好、行为模式和参与质量。","cat_coding_backend","mod_coding","sickn33,coding","---\nname: apify-audience-analysis\ndescription: Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.\nrisk: unknown\nsource: community\n---\n\n# Audience Analysis\n\nAnalyze and understand your audience using Apify Actors to extract follower demographics, engagement patterns, and behavior data from multiple platforms.\n\n## When to Use\n- You need audience demographics, engagement patterns, or follower behavior from social platforms.\n- The task is to choose and run Apify Actors for audience analysis across Facebook, Instagram, YouTube, or TikTok.\n- You need structured extraction plus a summarized interpretation of audience findings.\n\n## Prerequisites\n(No need to check it upfront)\n\n- `.env` file with `APIFY_TOKEN`\n- Node.js 20.6+ (for native `--env-file` support)\n- `mcpc` CLI tool: `npm install -g @apify\u002Fmcpc`\n\n## Workflow\n\nCopy this checklist and track progress:\n\n```\nTask Progress:\n- [ ] Step 1: Identify audience analysis type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analysis script\n- [ ] Step 5: Summarize findings\n```\n\n### Step 1: Identify Audience Analysis Type\n\nSelect the appropriate Actor based on analysis needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Facebook follower demographics | `apify\u002Ffacebook-followers-following-scraper` | FB followers\u002Ffollowing lists |\n| Facebook engagement behavior | `apify\u002Ffacebook-likes-scraper` | FB post likes analysis |\n| Facebook video audience | `apify\u002Ffacebook-reels-scraper` | FB Reels viewers |\n| Facebook comment analysis | `apify\u002Ffacebook-comments-scraper` | FB post\u002Fvideo comments |\n| Facebook content engagement | `apify\u002Ffacebook-posts-scraper` | FB post engagement metrics |\n| Instagram audience sizing | `apify\u002Finstagram-profile-scraper` | IG profile demographics |\n| Instagram location-based | `apify\u002Finstagram-search-scraper` | IG geo-tagged audience |\n| Instagram tagged network | `apify\u002Finstagram-tagged-scraper` | IG tag network analysis |\n| Instagram comprehensive | `apify\u002Finstagram-scraper` | Full IG audience data |\n| Instagram API-based | `apify\u002Finstagram-api-scraper` | IG API access |\n| Instagram follower counts | `apify\u002Finstagram-followers-count-scraper` | IG follower tracking |\n| Instagram comment export | `apify\u002Fexport-instagram-comments-posts` | IG comment bulk export |\n| Instagram comment analysis | `apify\u002Finstagram-comment-scraper` | IG comment sentiment |\n| YouTube viewer feedback | `streamers\u002Fyoutube-comments-scraper` | YT comment analysis |\n| YouTube channel audience | `streamers\u002Fyoutube-channel-scraper` | YT channel subscribers |\n| TikTok follower demographics | `clockworks\u002Ftiktok-followers-scraper` | TT follower lists |\n| TikTok profile analysis | `clockworks\u002Ftiktok-profile-scraper` | TT profile demographics |\n| TikTok comment analysis | `clockworks\u002Ftiktok-comments-scraper` | TT comment engagement |\n\n### Step 2: Fetch Actor Schema\n\nFetch the Actor's input schema and details dynamically using mcpc:\n\n```bash\nexport $(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\"\n```\n\nReplace `ACTOR_ID` with the selected Actor (e.g., `apify\u002Ffacebook-followers-following-scraper`).\n\nThis returns:\n- Actor description and README\n- Required and optional input parameters\n- Output fields (if available)\n\n### Step 3: Ask User Preferences\n\nBefore running, ask:\n1. **Output format**:\n   - **Quick answer** - Display top few results in chat (no file saved)\n   - **CSV** - Full export with all fields\n   - **JSON** - Full export in JSON format\n2. **Number of results**: Based on character of use case\n\n### Step 4: Run the Script\n\n**Quick answer (display in chat, no file):**\n```bash\nnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"ACTOR_ID\" \\\n  --input 'JSON_INPUT'\n```\n\n**CSV:**\n```bash\nnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"ACTOR_ID\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_OUTPUT_FILE.csv \\\n  --format csv\n```\n\n**JSON:**\n```bash\nnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"ACTOR_ID\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_OUTPUT_FILE.json \\\n  --format json\n```\n\n### Step 5: Summarize Findings\n\nAfter completion, report:\n- Number of audience members\u002Fprofiles analyzed\n- File location and name\n- Key demographic insights\n- Suggested next steps (deeper analysis, segmentation)\n\n## Error Handling\n\n`APIFY_TOKEN not found` - Ask user to create `.env` with `APIFY_TOKEN=your_token`\n`mcpc not found` - Ask user to install `npm install -g @apify\u002Fmcpc`\n`Actor not found` - Check Actor ID spelling\n`Run FAILED` - Ask user to check Apify console link in error output\n`Timeout` - Reduce input size or increase `--timeout`\n\n## Limitations\n- Use this skill only when the task clearly matches the scope described above.\n- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.\n- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.\n","","imported","https:\u002F\u002Fgithub.com\u002Fsickn33\u002Fantigravity-awesome-skills","user_system_seed","SkillOPIC",true,136,832,"2026-05-16 13:03:39",{"id":8,"name":21,"slug":22,"icon":23,"description":24,"sort":25,"createdAt":26},"编程开发","coding","mdi-code-braces","代码生成、调试、审查，提升开发效率",2,"2026-05-16 12:53:40",{"id":7,"name":28,"slug":29,"icon":30,"description":31,"moduleId":8,"sort":25,"skillCount":32,"createdAt":26},"后端开发","backend","mdi-server","API、数据库、服务端架构",296,[34],{"id":35,"skillId":4,"version":36,"fileName":37,"fileSize":38,"filePath":39,"fileHash":40,"manifest":41,"createdAt":19},"68b9e7d5-bcad-436a-a4b7-798555d89660","1.0.0","apify-audience-analysis.zip",5754,"uploads\u002Fskills\u002F3ae2a5f9-9e2b-4f1e-be84-0082d25d37ba\u002Fapify-audience-analysis.zip","f42cbc77e73668ad1e151e25276822c4823d9e6a5fe869bea51586f94d326b62","[{\"path\":\"SKILL.md\",\"isDirectory\":false,\"size\":5292},{\"path\":\"reference\u002Fscripts\u002Frun_actor.js\",\"isDirectory\":false,\"size\":11747}]",{"code":43,"message":44,"data":45},200,"success",{"items":46,"stats":47,"page":50},[],{"averageRating":48,"totalRatings":48,"ratingCounts":49},0,[48,48,48,48,48],{"limit":51,"offset":48,"hasMore":52,"nextOffset":51,"ratedOnly":16},15,false]