apify-brand-reputation-monitoring

name	apify-brand-reputation-monitoring
description	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 reviews, track mentions, or gather customer feedback.

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)

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Determine data source (select Actor)
- [ ] Step 2: Fetch Actor schema
- [ ] 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:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/fetch_actor_details.js --actor "ACTOR_ID"

Replace ACTOR_ID with the selected Actor (e.g., compass/crawler-google-places).

This returns:

• Actor info (title, description, URL, categories, stats, rating)
• README summary
• Input schema (required and optional parameters)

Step 3: Ask User Preferences

Skip this step for simple lookups (e.g., "what's Nike's follower count?", "find me 5 coffee shops in Prague") — just use quick answer mode and move to Step 4.

For larger scraping tasks, 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

Cost safety: Always set a sensible result limit in the Actor input (e.g., maxResults, resultsLimit, maxCrawledPages, or equivalent field from the input schema). Default to 100 results unless the user explicitly asks for more. Warn the user before running large scrapes (1000+ results) as they consume more Apify credits.

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 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