TripAdvisor Review Analysis for Hotels and Restaurants: From Reviews to an Action Plan

Turns hundreds of TripAdvisor reviews into a manager-ready action plan in seconds. It does not just tell you what guests think; it tells you what to do about it: prioritized fixes, quick wins, and the single critical move to make this week.

What it does

Connect the output of a review-scraper (Google Maps, Trustpilot, Amazon, App Store) or your own review list, and the actor produces:

• Overall sentiment + star-rating distribution
• Recurring themes (frequency + positive/negative)
• Top complaints and praises
• 🎯 Action plan — prioritized, concrete steps (each with benefit/cost + expected gain)
• ⚡ Quick wins — low-effort, high-impact moves
• The single critical step for this week
• Competitor opportunities + a short executive summary

Why it's different

Most review tools just hand you a raw sentiment score. This actor behaves like a consultant who makes decisions: it links every finding to an actionable step. Managers don't read the report and ask "so what do I do?" — the plan is already in their hands.

Input

Field	Description
reviews	The review list: plain strings OR {text, rating} objects. A review-scraper dataset can be connected directly.
businessName	Business name (used as report context)
language	Output language of the analysis content: English / Türkçe / Deutsch / Español / Français
model	(Advanced) LLM model — the default is fast and economical

Output

Delivered in two layers:

• Dataset (table): Prioritized action plan rows — columns: Priority · Issue / Area · Risk of Inaction · Risk Level · Benefit · Cost · Benefit/Cost · Score · Recommended Action. Scan, sort, and export directly.
• Report (key-value store → MANAGER_REPORT): Full narrative + machine-readable data with English keys: overall_sentiment · themes · top_complaints · top_praises · competitor_opportunities · critical_step · quick_wins · executive_summary · rating_distribution · review_count · all_actions (including more than what is shown in the main table).

How to use

1. Collect your reviews with a review-scraper (or paste in your own list).
2. Connect the output to this actor as reviews.
3. Set the business name and language → Start.
4. Grab your action plan from the Dataset tab.

Pricing (Pay-Per-Event)

You only pay for what you use: per run + per 100 reviews processed + per generated report. No monthly subscription.