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apify-brand-reputation-monitoring

apify-brand-reputation-monitoring

github.com/apifyMarketing & growth28590 installsUpdated 6w ago
Repository

About apify-brand-reputation-monitoring

A skill for monitoring reviews, ratings, and brand mentions across platforms using Apify Actors. It is intended for marketing teams that need to gather reputation signals and review results in chat or exported files.

Key features

  1. 01Select Apify Actors by data source
  2. 02Fetch Actor input schemas
  3. 03Show results or export CSV and JSON
  4. 04Limit result counts and summarize fields

Use cases

  1. 01Collect Google Maps or hotel reviews
  2. 02Monitor Facebook page ratings and comments
  3. 03Track brand mentions on Instagram, YouTube, or TikTok

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/apify/awesome-skills --skill apify-brand-reputation-monitoring

After installing, type/apify-brand-reputation-monitoringin Claude Code to confirm it loaded.

Bundled filesreference/scripts/run_actor.jsreference/scripts/fetch_actor_details.js

Details

From the project README

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 NeedActor IDBest For
Google Maps reviewscompass/crawler-google-placesBusiness reviews, ratings
Google Maps review exportcompass/Google-Maps-Reviews-ScraperDedicated review scraping
Booking.com hotelsvoyager/booking-scraperHotel data, scores
Booking.com reviewsvoyager/booking-reviews-scraperDetailed hotel reviews
TripAdvisor reviewsmaxcopell/tripadvisor-reviewsAttraction/restaurant reviews
Facebook reviewsapify/facebook-reviews-scraperPage reviews
Facebook commentsapify/facebook-comments-scraperPost comment monitoring
Facebook page metricsapify/facebook-pages-scraperPage ratings overview
Facebook reactionsapify/facebook-likes-scraperReaction type analysis
Instagram commentsapify/instagram-comment-scraperComment sentiment
Instagram hashtagsapify/instagram-hashtag-scraperBrand hashtag monitoring
Instagram searchapify/instagram-search-scraperBrand mention discovery
Instagram tagged postsapify/instagram-tagged-scraperBrand tag tracking
Instagram exportapify/export-instagram-comments-postsBulk comment export
Instagram comprehensiveapify/instagram-scraperFull Instagram monitoring
Instagram APIapify/instagram-api-scraperAPI-based monitoring
YouTube commentsstreamers/youtube-comments-scraperVideo comment sentiment
TikTok commentsclockworks/tiktok-comments-scraperTikTok 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

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