Publisher · 11 actors

distinct_readjustment on the Apify Store

distinct_readjustment publishes 11 actors on the Apify Store, used by 11 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 5 more changes this week. Follow distinct_readjustment — every change by email each morning

By monthly users#1,483↑ 3of 4,120 publishers · 11 users in 30 days
By catalogue size#985↑ 23of 4,120 publishers · 11 actors listed
By users all time#1,808↓ 1of 4,120 publishers · 22 users since they began
Needs a build0 of 1111 fresh · 0 aging · stale = no build in 180 days
Carry half the users6 of 11top 3 hold 27.3% · 9.1% 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 Ads Transparency Center1
ALDI Australia1
Coles1
Flashscore1
Google Flights1
Google Hotels1
Product Hunt1
Tennis Abstract1

+2 more platforms · 1 of 11 target no particular site

Biggest actors, monthly users
google-trends-scraper9%
aldi-product-scraper9%
woolworths-product-scraper9%
flashscore-scraper9%

share of this publisher’s 11 monthly users

10platforms targeted
11 a monthnew actors, last 30 days
Oct 2026first actor still listed
8dsince their newest actor

distinct_readjustment spreads 11 actors across 10 platforms, most of all Google Ads Transparency Center (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
11↑ 1over 8 readings
Runs / daymatched per actor
11↓ 3over 7 readings
Runs / 30drolling window, summed
92↑ 74over 8 readings
Actorsin the census that day
11↑ 1over 8 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
2–7d1
8–30d10

No build from distinct_readjustment 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$2.00 /1k search-termfair price12 total——12dfresh
2—EVT$1.50 /1k productgood price12 total——8dfresh
3—EVT$1.50 /1k productgood price12 total——8dfresh
4—EVT$1.00 /1k matchgood price12 total——8dfresh
5—EVT$2.00 /1k adfair price12 total——11dfresh
6—EVT$2.00 /1k productfair price12 total——8dfresh
7—EVT$3.00 /1k matchhigh price12 total——10dfresh
8—EVT$3.00 /1k hotelhigh price12 total——11dfresh
9—EVT$4.00 /1k flightsteep price12 total——8dfresh
10—RES$2.00 /1k12 total——8dfresh
11—EVT$1.50 /1k productgood price12 total——12dfresh
11 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →