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apify-competitor-intelligence

Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikT…

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它会碰到什么

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命中总数30 处
命中统计严重 13 · 高 1 · 中 9 · 低 7
逐条看命中(14 条严重或高危)
  • 严重 reference/scripts/run_actor.js:7cred-paths
    *   node --env-file=.env scripts/run_actor.js --actor ACTOR_ID --input '{}'
  • 严重 reference/scripts/run_actor.js:10cred-paths
    *   node --env-file=.env scripts/run_actor.js --actor ACTOR_ID --input '{}' --output leads.csv --format csv
  • 严重 reference/scripts/run_actor.js:65cred-paths
    node --env-file=.env scripts/run_actor.js --actor ACTOR_ID --input '{}'
  • 严重 reference/scripts/run_actor.js:83cred-paths
    node --env-file=.env scripts/run_actor.js \\
  • 严重 reference/scripts/run_actor.js:88cred-paths
    node --env-file=.env scripts/run_actor.js \\
  • 严重 reference/scripts/run_actor.js:324cred-paths
    console.error('Error: APIFY_TOKEN not found in .env file');
  • 严重 reference/scripts/run_actor.js:326cred-paths
    console.error('Add your token to .env file:');
  • 严重 SKILL.md:21cred-paths
    - `.env` file with `APIFY_TOKEN`
  • 严重 SKILL.md:78cred-paths
    export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_
  • 严重 SKILL.md:101cred-paths
    node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  • 严重 SKILL.md:108cred-paths
    node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  • 严重 SKILL.md:117cred-paths
    node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  • 严重 SKILL.md:134cred-paths
    `APIFY_TOKEN not found` - Ask user to create `.env` with `APIFY_TOKEN=your_token`
  • reference/scripts/run_actor.js:322cred-envread
    const token = process.env.APIFY_TOKEN;

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

Competitor Intelligence

Analyze competitors using Apify Actors to extract data from multiple platforms.

When to Use

  • You need competitor benchmarks for content, reviews, pricing, ads, audience, or channel performance.
  • The task involves selecting Apify Actors to compare competitors across maps, booking, social, or video platforms.
  • You need structured competitor data plus synthesized takeaways for strategy or positioning.

Prerequisites

(No need to check it upfront)

  • .env file with APIFY_TOKEN
  • Node.js 20.6+ (for native --env-file support)
  • mcpc CLI tool: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Identify competitor analysis type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analysis script
- [ ] Step 5: Summarize findings

Step 1: Identify Competitor Analysis Type

Select the appropriate Actor based on analysis needs:

| User Need | Actor ID | Best For |

|-----------|----------|----------|

| Competitor business data | compass/crawler-google-places | Location analysis |

| Competitor contact discovery | poidata/google-maps-email-extractor | Email extraction |

| Feature benchmarking | compass/google-maps-extractor | Detailed business data |

| Competitor review analysis | compass/Google-Maps-Reviews-Scraper | Review comparison |

| Hotel competitor data | voyager/booking-scraper | Hotel benchmarking |

| Hotel review comparison | voyager/booking-reviews-scraper | Review analysis |

| Competitor ad strategies | apify/facebook-ads-scraper | Ad creative analysis |

| Competitor page metrics | apify/facebook-pages-scraper | Page performance |

| Competitor content analysis | apify/facebook-posts-scraper | Post strategies |

| Competitor reels performance | apify/facebook-reels-scraper | Reels analysis |

| Competitor audience analysis | apify/facebook-comments-scraper | Comment sentiment |

| Competitor event monitoring | apify/facebook-events-scraper | Event tracking |

| Competitor audience overlap | apify/facebook-followers-following-scraper | Follower analysis |

| Competitor review benchmarking | apify/facebook-reviews-scraper | Review comparison |

| Competitor ad monitoring | apify/facebook-search-scraper | Ad discovery |

| Competitor profile metrics | apify/instagram-profile-scraper | Profile analysis |

| Competitor content monitoring | apify/instagram-post-scraper | Post tracking |

| Competitor engagement analysis | apify/instagram-comment-scraper | Comment analysis |

| Competitor reel performance | apify/instagram-reel-scraper | Reel metrics |

| Competitor growth tracking | apify/instagram-followers-count-scraper | Follower tracking |

| Comprehensive competitor data | apify/instagram-scraper | Full analysis |

| API-based competitor analysis | apify/instagram-api-scraper | API access |

| Competitor video analysis | streamers/youtube-scraper | Video metrics |

| Competitor sentiment analysis | streamers/youtube-comments-scraper | Comment sentiment |

| Competitor channel metrics | streamers/youtube-channel-scraper | Channel analysis |

| TikTok competitor analysis | clockworks/tiktok-scraper | TikTok data |

| Competitor video strategies | clockworks/tiktok-video-scraper | Video analysis |

| Competitor TikTok profiles | clockworks/tiktok-profile-scraper | Profile data |

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

export $(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"

Replace ACTOR_ID with the selected Actor (e.g., compass/crawler-google-places).

This returns:

  • Actor description and README
  • Required and optional input parameters
  • Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

  1. Output format:
  • Quick answer - Display top few results in chat (no file saved)
  • CSV - Full export with all fields
  • JSON - Full export in JSON format
  1. Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.csv \
  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.json \
  --format json

Step 5: Summarize Findings

After completion, report:

  • Number of competitors analyzed
  • File location and name
  • Key competitive insights
  • Suggested next steps (deeper analysis, benchmarking)

Error Handling

APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token

mcpc not found - Ask user to install npm install -g @apify/mcpc

Actor not found - Check Actor ID spelling

Run FAILED - Ask user to check Apify console link in error output

Timeout - Reduce input size or increase --timeout

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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同名技能的其他版本

有 3 个不同仓库或目录里都有叫 apify-competitor-intelligence 的技能。它们内容并不相同,别混用: