Publisher · 3 actors

h_reviews on the Apify Store

h_reviews publishes 3 actors on the Apify Store, used by 71 people in the last 30 days. Average rating 4.0 across 3 rated actors. Oldest actor is 3.6y old. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Last 7 dayson this catalogue

…and 1 more change this week. Follow h_reviews — every change by email each morning

By monthly users#617↓ 33of 4,120 publishers · 71 users in 30 days
By catalogue size#2,101↑ 3of 4,120 publishers · 3 actors listed
By users all time#377↓ 13of 4,120 publishers · 1,287 users since they began
Graded3 of 33 C
Needs a build0 of 32 fresh · 1 aging · stale = no build in 180 days
Carries half the users1 of 3top 3 hold 100% · 59.2% on the largest

Places are over the 4,120 publishers listed today; the week’s move is measured against the 3,645 also listed on 17 Oct, so nobody falls because the store grew around them.

What they build3 actors in the catalogue
Platforms targeted
Expedia2
Hotels.com2
Tripadvisor2
Airbnb1
Booking.com1
Google Maps1
Yelp1
New actors per quarter · 2023 Q1–2024 Q4
2023Q2Q3Q42024Q2Q3Q4

Actors still listed today, by the date the store created them · busiest 2023 Q1 (1)

Biggest actors, monthly users
expedia-hotels-com-reviews-scraper59%
hotel-review-aggregator39%
get-tripadvisor-urls1%

share of this publisher’s 71 monthly users

7platforms targeted
nothing new in 24 monthsnew-actor pace
Mar 2023first actor still listed
729dsince their newest actor

h_reviews is a Expedia specialist: 2 of 3 actors target it. Their newest actor is 729 days old.

How this is counted

Platforms come from our own classification of each actor’s listing, and an actor can target several — so these counts overlap and add up to more than the catalogue. Dates are the store’s own creation timestamp for each actor, which means the chart shows the actors still listed today, grouped by when they were made: a publisher who built forty last year and has since removed thirty shows ten. Shares are of this publisher’s own monthly users, from the same daily census as the table below.

Monthly userssummed across this catalogue
71↑ 6over 30 readings
Runs / daymatched per actor
306↓ 3over 30 readings
Runs / 30drolling window, summed
8,100↑ 190over 30 readings
Actorsin the census that day
3→ 0over 30 readings

Runs per day is each actor's own step in its lifetime run counter, added up over the actors present on both days — an actor joining this catalogue moves the actor count, never the runs line. Last 30 days; the full history is in the app.

Build activitylast 60 days
4builds published
3/60days with a build
67%of the catalogue touched in 30 days
Last touched
2–7d1
8–30d1
31–90d1

h_reviews published 4 builds on 3 of the last 60 days. Busiest was 9 Oct (2).

How this is counted

A build is counted from the store's own build counter, read once a day, so a cell is an exact count and an empty cell is a day nobody shipped. Shading runs against this catalogue's busiest day, so it compares days here — not catalogues. “Touched” is broader than a build: it is the last change the store saw of any kind, on a rolling re-fetch, so it can lag a build by days. Per-actor history is in the app.

Sort
#ActorGradePrice / 1kUsers /30dSuccessRatingAgeFresh
1CRES$1.00 /1k42602 total99.6%3.3 (6)3.6yfresh
2CEVT$5.00 /1k review28640 total93.3%4.1 (7)24mfresh
3CRES$0.50 /1k145 total99.2%4.6 (3)2.4yaging
3 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →