Publisher · 14 actors

varnmill on the Apify Store

varnmill publishes 14 actors on the Apify Store, used by 15 people in the last 30 days. Oldest actor is 12d 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 30 more changes this week. Follow varnmill — every change by email each morning

By monthly users#1,294newof 4,120 publishers · 15 users in 30 days
By catalogue size#844newof 4,120 publishers · 14 actors listed
By users all time#1,668newof 4,120 publishers · 29 users since they began
Needs a build0 of 1414 fresh · 0 aging · stale = no build in 180 days
Carry half the users7 of 14top 3 hold 26.7% · 13.3% 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 build14 actors in the catalogue
Platforms targeted
Google Ads Transparency Center1
Aldi1
Apple App Store1
Internet Archive1
Bilibili1
Coles1
CSFloat1
DMarket1

+15 more platforms · 4 of 14 target no particular site

Biggest actors, monthly users
threads-scraper13%
google-hotels-scraper7%
podcast-leads-scraper7%
wayback-machine-scraper7%

share of this publisher’s 15 monthly users

23platforms targeted
14 a monthnew actors, last 30 days
Oct 2026first actor still listed
7dsince their newest actor

varnmill spreads 14 actors across 23 platforms, most of all Google Ads Transparency Center (1). They have created 14 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
15→ 0over 3 readings
Runs / daymatched per actor
17↑ 6over 2 readings
Runs / 30drolling window, summed
191↑ 25over 3 readings
Actorsin the census that day
14→ 0over 3 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
0builds published
0/60days with a build
100%of the catalogue touched in 30 days
Last touched
2–7d13
8–30d1

No build from varnmill in the last 60 days.

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
1—EVT$1.00 /1k postfair price23 total——12dfresh
2—EVT$1.50 /1k hotelhigh price12 total——11dfresh
3—EVT$2.50 /1k podcast-leadsteep price12 total——11dfresh
4—EVT$0.50 /1k snapshotgood price12 total——11dfresh
5—EVT$0.50 /1k adgood price12 total——10dfresh
6—EVT$2.00 /1k business-enrichedsteep price12 total——12dfresh
7—EVT$1.50 /1k keyword-reporthigh price11 total——12dfresh
8—EVT$1.50 /1k videohigh price12 total——9dfresh
9—EVT$1.00 /1k productfair price12 total——7dfresh
10—EVT$0.50 /1k chart-entrygood price12 total——11dfresh
11—EVT$2.00 /1k jobsteep price12 total——11dfresh
12—EVT$0.50 /1k marketgood price12 total——12dfresh
13—EVT$0.90 /1k item-pricefair price12 total——11dfresh
14—EVT$0.50 /1k productgood price13 total——10dfresh
14 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →