Venue Review & Event Experience Sentiment Monitor

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Scrape TripAdvisor for event venues in any city worldwide, collect real visitor reviews, and get back structured sentiment intelligence: composite score, polarity breakdown, and thematic analysis across 10 experience categories. Supports 10 venue types from concert halls to wedding venues. No API key required.

How it works: The actor searches TripAdvisor for matching venues in each city, then visits each venue's review page to collect up to 50 real reviews. AFINN word-level sentiment scoring and thematic keyword extraction run locally — no external API needed. The composite score blends text-based AFINN analysis (40%) with TripAdvisor's star rating (60%) for a balanced signal.

What This Actor Does

Given a list of cities and a venue type, the actor:

1. Searches TripAdvisor for matching venues in each city
2. Visits each venue's detail page to collect real visitor reviews
3. Fetches additional review pages if maxReviewsPerVenue exceeds 10
4. Applies AFINN word-level sentiment scoring across all collected review text
5. Extracts thematic signals across 10 experience categories
6. Returns a ranked, structured record per venue — ready for comparison, export, or analysis

Supported Venue Types

Sentiment Analysis — Three Approaches, Zero API Costs

⭐ Composite Score

Blends AFINN text analysis (40%) with TripAdvisor's official star rating (60%) for a robust, balanced sentiment signal. When no star rating is available, falls back to AFINN-only scoring.

🧠 AFINN Word Scoring

Scores every review word against the AFINN-165 lexicon (3,382 rated English words). The aggregate is normalised to a 0–100 scale. Runs entirely locally — no external API call.

🎯 Thematic Extraction

Detects mentions of 10 venue experience themes across all collected reviews and classifies each theme as positive, neutral, or negative.

Themes detected:

Example Output

{
"city":"Lisbon",
"venueType":"Concert Hall & Live Music Venue",
"rank":1,
"name":"MEO Arena",
"tripAdvisorUrl":"https://www.tripadvisor.com/Attraction_Review-g189158-d1234567-Reviews-MEO_Arena-Lisbon.html",
"rating":4.5,
"reviewCount":1240,
"reviewsAnalysed":10,
"sentimentScore":76,
"sentimentLabel":"Very Positive",
"positivePercentage":80,
"neutralPercentage":10,
"negativePercentage":10,
"themes":{
"atmosphere":{"mentions":7,"sentiment":"positive"},
"acoustics":{"mentions":5,"sentiment":"positive"},
"location":{"mentions":4,"sentiment":"positive"},
"catering":{"mentions":3,"sentiment":"neutral"},
"parking":{"mentions":3,"sentiment":"negative"}
},
"source":"tripadvisor",
"scrapedAt":"2026-02-25T10:00:00.000Z"
}

Sentiment Score Scale

Use Cases

🎤 Event & Tour Planning

Identify the top venues in any city before booking a show, tour stop, or live event. Compare sentiment scores and thematic breakdowns side by side — see which venues consistently receive praise for acoustics or atmosphere, and which have recurring complaints about parking or pricing.

🏢 Corporate & Private Event Selection

Shortlist conference centres, private event spaces, and wedding venues across multiple cities worldwide. Thematic extraction surfaces what matters most to attendees — catering quality, AV reliability, accessibility — directly from real visitor reviews.

🔬 Market Research & Venue Benchmarking

Understand the competitive landscape for a venue type in any city. Run the actor across multiple cities to compare sentiment distributions globally and identify markets where venue quality consistently under- or over-delivers.

📊 Venue Management & Reputation Monitoring

Schedule the actor to run periodically on your own venue to track sentiment score changes over time. Early detection of theme-level shifts — e.g. rising negative mentions of cleanliness or staff — enables faster operational response before issues compound.

Input

API Example

curl-X POST "https://api.apify.com/v2/acts/trovevault~venue-review-event-experience-sentiment-monitor/runs"\
-H"Authorization: Bearer $APIFY_TOKEN"\
-H"Content-Type: application/json"\
-d'{"cities":["Lisbon"],"venueType":"live_music","topN":1,"maxReviewsPerVenue":10}'

Output Fields

How It Works

1. PlaywrightCrawler opens a full Chromium browser for each request — bypassing Cloudflare JS challenges that block HTTP-only scrapers
2. Venue discovery searches TripAdvisor for the venue type + city query and extracts more Attraction_Review candidates than the requested topN
3. Review collection visits each venue's TripAdvisor page and collects up to maxReviewsPerVenue real visitor reviews
4. Pagination automatically fetches additional review pages when maxReviewsPerVenue > 10
5. AFINN scoring runs across all collected review text — word by word, entirely local
6. Thematic extraction scans reviews for 10 experience theme keywords and computes per-theme sentiment
7. Composite scoring combines AFINN normalised score (40%) and star rating positivity (60%)
8. Results with collected reviews are re-ranked and pushed to the Apify dataset until the requested topN is reached, when enough valid candidates are available

Proxy note: TripAdvisor often returns 403 blocks from cloud data-center IPs. On the Apify platform, this actor uses Apify Residential proxy by default when no proxy configuration is supplied. You can override this in the input proxy settings.

Changelog

v0.1 – Initial release. Worldwide coverage via TripAdvisor. PlaywrightCrawler for reliable anti-bot bypass. Supports 10 venue types, multi-city input, configurable review depth (10–50 per venue), AFINN sentiment scoring, and thematic extraction across 10 experience categories.