apify-competitor-intelligence
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install apify-agent-skills-apify-competitor-intelligence
Repository
Skill path: skills/apify-competitor-intelligence
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
Open repositoryBest for
Primary workflow: Write Technical Docs.
Technical facets: Full Stack, Tech Writer.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: apify.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install apify-competitor-intelligence into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/apify/agent-skills before adding apify-competitor-intelligence to shared team environments
- Use apify-competitor-intelligence for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: apify-competitor-intelligence
description: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
---
# 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 (for fetching Actor schemas)
## 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:
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
2. **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`