Monitor Headout Attraction Ratings and Review Velocity

A headline rating changes slowly. Review velocity and the mix of one- to five-star feedback move earlier, making them better operational signals for attraction teams. The Headout Reviews Scraper can include the activity average, total count, and star distribution beside every new review.

▶ Ready to run: Monitor Headout attraction ratings on Apify →

{
  "tourGroupIds": ["12045"],
  "maxReviews": 100,
  "sortBy": "MOST_RECENT",
  "aggregateRatings": true
}

Metrics worth tracking

Store the aggregate rating, total review count, distribution by star, and count of new reviews since the previous successful run. Compute seven- and thirty-day review velocity. Alert when the low-rating share rises, not on a single negative review, and include the underlying comments so an operator can distinguish queueing, guide quality, ticketing, accessibility, and weather-related issues.

Scheduled Apify runs can feed a dataset, webhook, Google Sheet, or warehouse. Use a stable activity ID as the primary key and the review ID for incremental deduplication. A weekly cadence is usually enough for long-tail experiences; high-volume attractions may justify daily collection.

Healthy and unhealthy signals

Healthy operation looks like stable or rising review volume with no sustained increase in one- and two-star share. A failure signal is a sudden fall to zero new reviews across several popular activities, which may indicate either a demand change or an upstream schema issue. Keep a small known activity as a canary so pipeline health is distinguishable from business performance.

Pair the monitor with attraction research and traveler persona analysis for deeper diagnosis.