Awesome-omni-skill apify-brand-reputation-monitoring

Track reviews, ratings, sentiment, and brand mentions across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. Use when user asks to monitor brand reputation, analyze...

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/backend/apify-brand-reputation-monitoring" ~/.claude/skills/diegosouzapw-awesome-omni-skill-apify-brand-reputation-monitoring && rm -rf "$T"

manifest: skills/backend/apify-brand-reputation-monitoring/SKILL.md

safety · automated scan (medium risk)

This is a pattern-based risk scan, not a security review. Our crawler flagged:

global npm install
dumps environment variables
references .env files

Always read a skill's source content before installing. Patterns alone don't mean the skill is malicious — but they warrant attention.

source content

Brand Reputation Monitoring

Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.

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: Determine data source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the monitoring script
- [ ] Step 5: Summarize results

Step 1: Determine Data Source

Select the appropriate Actor based on user needs:

User Need	Actor ID	Best For
Google Maps reviews	`compass/crawler-google-places`	Business reviews, ratings
Google Maps review export	`compass/Google-Maps-Reviews-Scraper`	Dedicated review scraping
Booking.com hotels	`voyager/booking-scraper`	Hotel data, scores
Booking.com reviews	`voyager/booking-reviews-scraper`	Detailed hotel reviews
TripAdvisor reviews	`maxcopell/tripadvisor-reviews`	Attraction/restaurant reviews
Facebook reviews	`apify/facebook-reviews-scraper`	Page reviews
Facebook comments	`apify/facebook-comments-scraper`	Post comment monitoring
Facebook page metrics	`apify/facebook-pages-scraper`	Page ratings overview
Facebook reactions	`apify/facebook-likes-scraper`	Reaction type analysis
Instagram comments	`apify/instagram-comment-scraper`	Comment sentiment
Instagram hashtags	`apify/instagram-hashtag-scraper`	Brand hashtag monitoring
Instagram search	`apify/instagram-search-scraper`	Brand mention discovery
Instagram tagged posts	`apify/instagram-tagged-scraper`	Brand tag tracking
Instagram export	`apify/export-instagram-comments-posts`	Bulk comment export
Instagram comprehensive	`apify/instagram-scraper`	Full Instagram monitoring
Instagram API	`apify/instagram-api-scraper`	API-based monitoring
YouTube comments	`streamers/youtube-comments-scraper`	Video comment sentiment
TikTok comments	`clockworks/tiktok-comments-scraper`	TikTok sentiment

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 Results

After completion, report:

Number of reviews/mentions found
File location and name
Key fields available
Suggested next steps (sentiment analysis, filtering)

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