mcpbeat

Apify Competitor Intelligence

lingxling/apify-competitor-intelligence

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

4k tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
223
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/lingxling/awesome-skills-cn --skill apify-competitor-intelligence

The instruction itself

11 sections, as written by the author

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:

  • 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
  • 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.

How to use it

Copy the folder

Take lingxling/apify-competitor-intelligence from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npm. Without those the skill loads but fails at the first command.