TripAdvisor Reviews Scraper with AI Analysis: From a Hotel URL to an Action Plan

Paste a TripAdvisor URL and get a manager-ready action plan. The Actor collects the reviews for you, then tells you what to do about them: prioritized fixes, quick wins, and the single critical move to make this week.

What it does

Paste a TripAdvisor hotel, restaurant or attraction URL (the reviews are collected with a proven TripAdvisor review scraper from Apify Store), or provide 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
startUrl	TripAdvisor hotel, restaurant or attraction page URL. The Actor collects its reviews for you.
maxReviews	How many reviews to collect from the URL (10-500, default 100)
reviews	Alternative to the URL: your own review list, as plain strings OR {text, rating} objects. Used only when the URL is empty.
businessName	Business name (used as report context). Filled in from TripAdvisor automatically in URL mode.
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. Paste the TripAdvisor page URL (or your own review list).
2. Choose how many reviews to collect and the output language → Start.
3. 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.

In URL mode, the reviews are collected by a separate TripAdvisor review scraper, billed at that scraper's own price (about $0.05 per 100 reviews). If no reviews can be collected, this Actor does not charge you.