Publisher · 11 actors

magenta_waterwheel on the Apify Store

magenta_waterwheel publishes 11 actors on the Apify Store, used by 40 people in the last 30 days. Oldest actor is 17d 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 18 more changes this week. Follow magenta_waterwheel — every change by email each morning

By monthly users#823↑ 145of 4,120 publishers · 40 users in 30 days
By catalogue size#985↓ 44of 4,120 publishers · 11 actors listed
By users all time#1,361↑ 84of 4,120 publishers · 53 users since they began
Graded1 of 111 B · 10 not yet judged
Needs a build0 of 1111 fresh · 0 aging · stale = no build in 180 days
Carries half the users1 of 11top 3 hold 80% · 60% 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 build11 actors in the catalogue
Platforms targeted
Google Keyword Planner1
Google Ads Transparency Center1
Apple App Store1
Ashby1
Google Search1
Greenhouse1
iTunes Search API1
Lever1

+3 more platforms · 4 of 11 target no particular site

Biggest actors, monthly users
keyword-search-volume60%
bulk-keyword-planner15%
ai-search-visibility5%
google-news-scraper2%

share of this publisher’s 40 monthly users

11platforms targeted
11 a monthnew actors, last 30 days
Oct 2026first actor still listed
9dsince their newest actor

magenta_waterwheel spreads 11 actors across 11 platforms, most of all Google Keyword Planner (1). They have created 11 a month over the last 30 days.

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
40↑ 33over 15 readings
Runs / daymatched per actor
25↓ 26over 14 readings
Runs / 30drolling window, summed
298↑ 290over 15 readings
Actorsin the census that day
11↑ 4over 15 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
18builds published
3/60days with a build
100%of the catalogue touched in 30 days
Last touched
2–7d4
8–30d7

magenta_waterwheel published 18 builds on 3 of the last 60 days. Busiest was 12 Oct (8).

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
1BEVT$1.50 /1k keywordfair price2429 total97.3%—16dfresh
2—EVT$190 /1k batchsteep price67 total——9dfresh
3—EVT$40.00 /1k answersteep price22 total——16dfresh
4—EVT$1.00 /1k articlegood price12 total——10dfresh
5—EVT$1.00 /1k adgood price11 total——12dfresh
6—EVT$0.50 /1k messagegood price12 total——16dfresh
7—EVT$2.00 /1k jobfair price12 total——17dfresh
8—EVT$0.25 /1k reviewgood price12 total——17dfresh
9—EVT$20.00 /1k google-aio-checkhigh price12 total——10dfresh
10—EVT$2.50 /1k screenshothigh price12 total——17dfresh
11—EVT$3.00 /1k pagehigh price12 total——16dfresh
11 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →