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apify-brand-reputation-monitoring
Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.
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Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use for any "make slides", "create a deck", or "slides from this document" request.
Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing.
Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces.
Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.
Manage opencode permissions: review always-allow lists, suggest safe read-only commands, configure permission patterns
Generate AI images, videos, and music/audio from agents using the RunAPI CLI.
| name | apify-brand-reputation-monitoring |
| description | Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors. |
| risk | unknown |
| source | community |
Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.
(No need to check it upfront)
.env file with APIFY_TOKEN--env-file support)mcpc CLI tool: npm install -g @apify/mcpcCopy 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
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 |
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:
Before running, ask:
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
After completion, report:
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