apify-competitor-intelligence
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikT…
它会碰到什么
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-pathsnode --env-file=.env scripts/run_actor.js --actor ACTOR_ID --input '{}' - 严重
reference/scripts/run_actor.js:83cred-pathsnode --env-file=.env scripts/run_actor.js \\
- 严重
reference/scripts/run_actor.js:88cred-pathsnode --env-file=.env scripts/run_actor.js \\
- 严重
reference/scripts/run_actor.js:324cred-pathsconsole.error('Error: APIFY_TOKEN not found in .env file'); - 严重
reference/scripts/run_actor.js:326cred-pathsconsole.error('Add your token to .env file:'); - 严重
SKILL.md:21cred-paths- `.env` file with `APIFY_TOKEN`
- 严重
SKILL.md:78cred-pathsexport $(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-pathsnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \ - 严重
SKILL.md:108cred-pathsnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \ - 严重
SKILL.md:117cred-pathsnode --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`
- 高
reference/scripts/run_actor.js:322cred-envreadconst 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)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) mcpcCLI 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.
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它属于哪个仓库
plugins/agentic-awesome-skills/skills/apify-competitor-intelligence/SKILL.md同一个仓库里的其他技能
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:
- sickn33/agentic-awesome-skills — Analyze competitor strategies, content, pricing, ads, and market positioning across Google
- sickn33/agentic-awesome-skills — Analyze competitor strategies, content, pricing, ads, and market positioning across Google