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- Apify Brand Reputation Monitoring
apify-brand-reputation-monitoring_skill
- JavaScript
64
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill apify/agent-skills --skill apify-brand-reputation-monitoring- SKILL.md4.4 KB
Overview
This skill monitors brand reputation by scraping reviews, ratings, sentiment signals, and mentions across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. It orchestrates Apify Actors to collect structured review data and export results in quick chat summaries, CSV, or JSON. Use it to gather customer feedback, detect sentiment trends, and surface urgent issues across major review and social platforms.
How this skill works
Select the appropriate Apify Actor for the target platform, fetch the actor input schema, and run a monitoring script that passes the chosen input to the actor. The tool can return a quick summary in chat or save a full export as CSV or JSON. After the run, it summarizes counts, key fields, and suggests follow-up steps such as sentiment analysis or filtering.
When to use it
- You need to collect recent reviews and ratings for a business or listing across multiple platforms.
- You want to track brand mentions or hashtags on Instagram, TikTok, or YouTube comments.
- You need a repeatable export (CSV/JSON) for downstream analysis or dashboards.
- You want quick chat summaries of top mentions without saving a file.
- You must investigate sudden drops in ratings or spikes in negative sentiment.
Best practices
- Choose the Actor that best matches the target platform and data granularity (reviews vs. comments).
- Fetch the actor schema first to confirm required input fields and optional filters.
- Start with a small result set to validate inputs before running large exports.
- Prefer JSON exports for downstream processing and CSV for manual review or spreadsheets.
- Store APIFY_TOKEN in a .env file and ensure mcpc is installed if you fetch actor details.
Example use cases
- Weekly scraping of Google Maps and TripAdvisor reviews for a hotel, with CSV exports for the analytics team.
- Daily monitoring of Instagram hashtags and tagged posts to find emerging product complaints.
- Pull YouTube and TikTok comments for recent campaign videos to measure sentiment and engagement.
- Quick chat summary of the latest Facebook page reviews to respond to urgent negative feedback.
- Export Booking.com reviews for a set of properties for monthly reputation reporting.
FAQ
Place APIFY_TOKEN in a .env file; Node.js 20.6+ is required for the native --env-file flag.
How do I know which Actor to use?
Match the user need to the Actor list (e.g., Google Maps reviews -> compass/crawler-google-places). Fetch the actor schema to confirm inputs.
What if I get an APIFY_TOKEN not found error?
Create a .env file with APIFY_TOKEN=your_token and re-run the command.