apify-brand-reputation-monitoring

name	apify-brand-reputation-monitoring
description	ALWAYS use this when the request matches Apify Brand Reputation Monitoring: Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.

Brand Reputation Monitoring

Selective Reading Rule

Start with:

• references/senior-master-standard.md
• references/usage-routing.md
• references/quality-checklist.md

Then load only the inherited docs, scripts, assets, or examples that match the user's actual task.

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

When to Use

• You need to monitor reviews, ratings, or brand mentions across social, travel, or map platforms.
• The task is to select and run an Apify Actor for brand sentiment or reputation tracking.
• You need exported monitoring results and a summary of reputation signals.

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:

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):

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

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.