apify-brand-reputation-monitoring

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:

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