apify-competitor-intelligence

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Translated

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

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Sourceapify/agent-skills

Added on2026-02-04

NPX Install

npx skill4agent add apify/agent-skills apify-competitor-intelligence

SKILL.md Content

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Competitor Intelligence

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

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:

bash

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):

bash

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

CSV:

bash

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:

bash

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

apify-competitor-intelligence

NPX Install

Tags

SKILL.md Content

Competitor Intelligence

Prerequisites

Workflow

Step 1: Identify Competitor Analysis Type

Step 2: Fetch Actor Schema

Step 3: Ask User Preferences

Step 4: Run the Script

Step 5: Summarize Findings

Error Handling