[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-1f81e6dc-2e0b-4697-9ce3-603644c4b598":3,"$fWY4_TTOmvzHegJAchWpJgpVjPWCEM-M0b9uF3qKQGlM":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},"1f81e6dc-2e0b-4697-9ce3-603644c4b598","apify-brand-reputation-monitoring","使用Apify Actors从多个平台抓取评论、评分和品牌提及。","cat_coding_backend","mod_coding","sickn33,coding","---\nname: apify-brand-reputation-monitoring\ndescription: \"Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.\"\nrisk: unknown\nsource: community\n---\n\n# Brand Reputation Monitoring\n\nScrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.\n\n## When to Use\n- You need to monitor reviews, ratings, or brand mentions across social, travel, or map platforms.\n- The task is to select and run an Apify Actor for brand sentiment or reputation tracking.\n- You need exported monitoring results and a summary of reputation signals.\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 data source (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the monitoring script\n- [ ] Step 5: Summarize results\n```\n\n### Step 1: Determine Data Source\n\nSelect the appropriate Actor based on user needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Google Maps reviews | `compass\u002Fcrawler-google-places` | Business reviews, ratings |\n| Google Maps review export | `compass\u002FGoogle-Maps-Reviews-Scraper` | Dedicated review scraping |\n| Booking.com hotels | `voyager\u002Fbooking-scraper` | Hotel data, scores |\n| Booking.com reviews | `voyager\u002Fbooking-reviews-scraper` | Detailed hotel reviews |\n| TripAdvisor reviews | `maxcopell\u002Ftripadvisor-reviews` | Attraction\u002Frestaurant reviews |\n| Facebook reviews | `apify\u002Ffacebook-reviews-scraper` | Page reviews |\n| Facebook comments | `apify\u002Ffacebook-comments-scraper` | Post comment monitoring |\n| Facebook page metrics | `apify\u002Ffacebook-pages-scraper` | Page ratings overview |\n| Facebook reactions | `apify\u002Ffacebook-likes-scraper` | Reaction type analysis |\n| Instagram comments | `apify\u002Finstagram-comment-scraper` | Comment sentiment |\n| Instagram hashtags | `apify\u002Finstagram-hashtag-scraper` | Brand hashtag monitoring |\n| Instagram search | `apify\u002Finstagram-search-scraper` | Brand mention discovery |\n| Instagram tagged posts | `apify\u002Finstagram-tagged-scraper` | Brand tag tracking |\n| Instagram export | `apify\u002Fexport-instagram-comments-posts` | Bulk comment export |\n| Instagram comprehensive | `apify\u002Finstagram-scraper` | Full Instagram monitoring |\n| Instagram API | `apify\u002Finstagram-api-scraper` | API-based monitoring |\n| YouTube comments | `streamers\u002Fyoutube-comments-scraper` | Video comment sentiment |\n| TikTok comments | `clockworks\u002Ftiktok-comments-scraper` | TikTok sentiment |\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., `compass\u002Fcrawler-google-places`).\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 reviews\u002Fmentions found\n- File location and name\n- Key fields available\n- Suggested next steps (sentiment analysis, filtering)\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,139,447,"2026-05-16 13:03:40",{"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},"66510992-9b23-4bf0-8024-3531177dc9d9","1.0.0","apify-brand-reputation-monitoring.zip",5701,"uploads\u002Fskills\u002F1f81e6dc-2e0b-4697-9ce3-603644c4b598\u002Fapify-brand-reputation-monitoring.zip","ec30c26013a43003c54ff8cc26fc17d584627aeb8cf1465ca679d6f33120990f","[{\"path\":\"SKILL.md\",\"isDirectory\":false,\"size\":4963},{\"path\":\"reference\u002Fscripts\u002Frun_actor.js\",\"isDirectory\":false,\"size\":11757}]",{"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]