[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-28848414-65a2-4e46-9d52-114e1cf1cbbf":3,"$f-tBqAY6mqqtIi4w_YENIyhFWFKZopXOgExikolWNa4M":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},"28848414-65a2-4e46-9d52-114e1cf1cbbf","apify-market-research","分析谷歌地图、Facebook、Instagram、Booking.com和TripAdvisor上的市场状况、地理机会、定价、消费者行为和产品验证。","cat_coding_backend","mod_coding","sickn33,coding","---\nname: apify-market-research\ndescription: Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.\nrisk: unknown\nsource: community\n---\n\n# Market Research\n\nConduct market research using Apify Actors to extract data from multiple platforms.\n\n## When to Use\n- You need market sizing, regional demand, pricing, trend, or consumer behavior data.\n- The task is to gather research inputs from maps, travel, Facebook, Instagram, or trend sources with Apify.\n- You need structured market data plus a synthesized view of opportunities or risks.\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 market research 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 Market Research Type\n\nSelect the appropriate Actor based on research needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Market density | `compass\u002Fcrawler-google-places` | Location analysis |\n| Geospatial analysis | `compass\u002Fgoogle-maps-extractor` | Business mapping |\n| Regional interest | `apify\u002Fgoogle-trends-scraper` | Trend data |\n| Pricing and demand | `apify\u002Ffacebook-marketplace-scraper` | Market pricing |\n| Event market | `apify\u002Ffacebook-events-scraper` | Event analysis |\n| Consumer needs | `apify\u002Ffacebook-groups-scraper` | Group research |\n| Market landscape | `apify\u002Ffacebook-pages-scraper` | Business pages |\n| Business density | `apify\u002Ffacebook-page-contact-information` | Contact data |\n| Cultural insights | `apify\u002Ffacebook-photos-scraper` | Visual research |\n| Niche targeting | `apify\u002Finstagram-hashtag-scraper` | Hashtag research |\n| Hashtag stats | `apify\u002Finstagram-hashtag-stats` | Market sizing |\n| Market activity | `apify\u002Finstagram-reel-scraper` | Activity analysis |\n| Market intelligence | `apify\u002Finstagram-scraper` | Full data |\n| Product launch research | `apify\u002Finstagram-api-scraper` | API access |\n| Hospitality market | `voyager\u002Fbooking-scraper` | Hotel data |\n| Tourism insights | `maxcopell\u002Ftripadvisor-reviews` | Review analysis |\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 Findings\n\nAfter completion, report:\n- Number of results found\n- File location and name\n- Key market insights\n- Suggested next steps (deeper analysis, validation)\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,51,591,"2026-05-16 13:03:52",{"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},"4b1045d2-138b-4bbd-812e-18e06e7625a3","1.0.0","apify-market-research.zip",5727,"uploads\u002Fskills\u002F28848414-65a2-4e46-9d52-114e1cf1cbbf\u002Fapify-market-research.zip","1e0a5cc51dcdb0462bb9321e85b6d7d6d8aa16e3a358ffe4d77f1f569facb6e5","[{\"path\":\"SKILL.md\",\"isDirectory\":false,\"size\":4705},{\"path\":\"reference\u002Fscripts\u002Frun_actor.js\",\"isDirectory\":false,\"size\":11745}]",{"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]