Monitor Headout Attraction Ratings and Review Velocity
Track Headout rating distributions, fresh reviews, and review velocity for tours and attractions with scheduled Apify runs.
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.