[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-b1b1e9b3-48db-4c4d-b0a3-b7f2ff8bcad3":3,"$fE5qr0of7sDQg2qPG2JPhhTEQvw5ZBnFdDJqvGddOC58":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},"b1b1e9b3-48db-4c4d-b0a3-b7f2ff8bcad3","apify-influencer-discovery","寻找和评估品牌合作伙伴的网红，验证真实性，并跟踪Instagram、Facebook、YouTube和TikTok上的合作表现。","cat_coding_backend","mod_coding","sickn33,coding","---\nname: apify-influencer-discovery\ndescription: Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.\nrisk: unknown\nsource: community\n---\n\n# Influencer Discovery\n\nDiscover and analyze influencers across multiple platforms using Apify Actors.\n\n## When to Use\n- You need to discover creators or influencers for outreach, partnerships, or campaign planning.\n- The task is to evaluate authenticity, engagement, niche fit, or audience signals across social platforms.\n- You need Apify-based extraction plus a shortlist or summary of suitable influencer candidates.\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: Determine discovery source (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the discovery script\n- [ ] Step 5: Summarize results\n```\n\n### Step 1: Determine Discovery Source\n\nSelect the appropriate Actor based on user needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Influencer profiles | `apify\u002Finstagram-profile-scraper` | Profile metrics, bio, follower counts |\n| Find by hashtag | `apify\u002Finstagram-hashtag-scraper` | Discover influencers using specific hashtags |\n| Reel engagement | `apify\u002Finstagram-reel-scraper` | Analyze reel performance and engagement |\n| Discovery by niche | `apify\u002Finstagram-search-scraper` | Search for influencers by keyword\u002Fniche |\n| Brand mentions | `apify\u002Finstagram-tagged-scraper` | Track who tags brands\u002Fproducts |\n| Comprehensive data | `apify\u002Finstagram-scraper` | Full profile, posts, comments analysis |\n| API-based discovery | `apify\u002Finstagram-api-scraper` | Fast API-based data extraction |\n| Engagement analysis | `apify\u002Fexport-instagram-comments-posts` | Export comments for sentiment analysis |\n| Facebook content | `apify\u002Ffacebook-posts-scraper` | Analyze Facebook post performance |\n| Micro-influencers | `apify\u002Ffacebook-groups-scraper` | Find influencers in niche groups |\n| Influential pages | `apify\u002Ffacebook-search-scraper` | Search for influential pages |\n| YouTube creators | `streamers\u002Fyoutube-channel-scraper` | Channel metrics and subscriber data |\n| TikTok influencers | `clockworks\u002Ftiktok-scraper` | Comprehensive TikTok data extraction |\n| TikTok (free) | `clockworks\u002Ffree-tiktok-scraper` | Free TikTok data extractor |\n| Live streamers | `clockworks\u002Ftiktok-live-scraper` | Discover live streaming influencers |\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\u002Finstagram-profile-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 Results\n\nAfter completion, report:\n- Number of influencers found\n- File location and name\n- Key metrics available (followers, engagement rate, etc.)\n- Suggested next steps (filtering, outreach, deeper analysis)\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,100,326,"2026-05-16 13:03:49",{"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},"4d51201e-24ec-4c2c-aaf9-efa705a9ca41","1.0.0","apify-influencer-discovery.zip",5802,"uploads\u002Fskills\u002Fb1b1e9b3-48db-4c4d-b0a3-b7f2ff8bcad3\u002Fapify-influencer-discovery.zip","cd9c6558ac66e96808e981df0aa48af979347535464fe20e13bbfccb06f4a971","[{\"path\":\"SKILL.md\",\"isDirectory\":false,\"size\":5013},{\"path\":\"reference\u002Fscripts\u002Frun_actor.js\",\"isDirectory\":false,\"size\":11750}]",{"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]