[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CRVCWZT8STRGW5EXPF7ZSY":3,"skill-same:01M6CRVCWZT8STRGW5EXPF7ZSY":69},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":28,"publishedAt":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":41,"commitSha":42,"skillDirectory":43,"forksCount":44,"repositoryHtmlUrl":45,"repositoryHomepageUrl":45,"ownerHtmlUrl":46,"ownerBlogUrl":6,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M6CRVCWZT8STRGW5EXPF7ZSY","apify-brand-reputation-monitoring",null,"Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.","Sam-06060\u002Fjarvis-assistant","Sam-06060","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F208600848?v=4","01M6CRKT7C7FXD21V6HXF293S0","Samson Frank Ganta","01M6CRKTBEKYFD8YX5Z1GT99EE",6,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fapify-brand-reputation-monitoring\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[29,30,31,32,33,34],"monitoring","brand","reputation","apify brand reputation monitoring","scrape","community","2026-11-10 10:12:30",false,"---\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\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","# Brand Reputation Monitoring\n\nScrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.\n\n## When to Use\n\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",{"name":5,"risk":40,"source":34,"description":7},"unknown","main","a50a3aa6b39fb0e1b7db88bef1bfc9c93606e126","modules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fapify-brand-reputation-monitoring",0,"https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant","https:\u002F\u002Fgithub.com\u002FSam-06060","Mobile Application Developer | Kotlin | Flutter, KMP, Swfit, Android,Swift UI | 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Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzoho-crm-automation\u002FSKILL.md",[130],{"categoryNo":104,"categoryName":105,"taxonomyType":21,"taxonomyTypeDesc":22},[132,107,133,134,135,136,137,34,112,138,120,139,117,116,111,140,95,141,113,142],"crm automation","zoho crm","crm","zoho crm automation","zoho","leads","contacts","records","update","tasks","manage",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":152,"publishedAt":35},"01M6GDRCKQBAVTGHX5XBH26KPZ","zod-validation-expert","Expert in Zod — TypeScript-first schema validation. 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Use for auditing C\u002FC++\u002FRust code handling secrets, keys, passwords, or other sensitive data.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzeroize-audit\u002FSKILL.md",[176],{"categoryNo":104,"categoryName":105,"taxonomyType":21,"taxonomyTypeDesc":22},[178,179,180,181,182,183,184,185,34,186,187,188,189,190,191,192,193,194,195,113],"zeroize audit","audit","write","passwords","get","project","c++","activate","assembly","read","Bash","secrets","analysis","data","flow","verification","code","rust"]