Publisher · 16 actors

ensorcelling_melilot on the Apify Store

ensorcelling_melilot publishes 16 actors on the Apify Store, used by 16 people in the last 30 days. Oldest actor is 9d 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 10 more changes this week. Follow ensorcelling_melilot — every change by email each morning

By monthly users#1,263↑ 502of 4,120 publishers · 16 users in 30 days
By catalogue size#756↑ 478of 4,120 publishers · 16 actors listed
By users all time#1,601↑ 466of 4,120 publishers · 32 users since they began
Needs a build0 of 1616 fresh · 0 aging · stale = no build in 180 days
Carry half the users8 of 16top 3 hold 18.8% · 6.2% 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 build16 actors in the catalogue
Platforms targeted
Arbeitnow1
Ashby1
Bluesky1
U.S. Department of Transportation Data1
Greenhouse1
Himalayas1
Jobicy1
Kalshi1

+7 more platforms · 10 of 16 target no particular site

Biggest actors, monthly users
ai-answers6%
google-jobs6%
google-sheets-sync6%
phone-validator6%

share of this publisher’s 16 monthly users

15platforms targeted
16 a monthnew actors, last 30 days
Oct 2026first actor still listed
8dsince their newest actor

ensorcelling_melilot spreads 16 actors across 15 platforms, most of all Arbeitnow (1). They have created 16 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
16↑ 10over 8 readings
Runs / daymatched per actor
16↑ 4over 7 readings
Runs / 30drolling window, summed
84↑ 77over 8 readings
Actorsin the census that day
16↑ 9over 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
2–7d9
8–30d7

No build from ensorcelling_melilot 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$30.00 /1k answersteep price12 total——8dfresh
2—EVT$1.00 /1k job-itemgood price12 total——8dfresh
3—EVT$0.50 /1k row-processedgood price12 total——9dfresh
4—EVT$0.50 /1k number-checkedgood price12 total——8dfresh
5—EVT$1.50 /1k result-itemfair price12 total——9dfresh
6—EVT$3.00 /1k domain-processedhigh price12 total——8dfresh
7—EVT$1.00 /1k frame-extractedgood price12 total——8dfresh
8—EVT$2.00 /1k market-itemfair price12 total——8dfresh
9—EVT$3.00 /1k carrier-itemhigh price12 total——8dfresh
10—EVT$3.00 /1k keyword-resulthigh price12 total——8dfresh
11—EVT$5.00 /1k page-auditedsteep price12 total——8dfresh
12—EVT$4.00 /1k capture-createdsteep price12 total——8dfresh
13—EVT$3.00 /1k page-convertedhigh price12 total——8dfresh
14—EVT$1.50 /1k job-itemfair price12 total——9dfresh
15—EVT$1.50 /1k result-itemfair price12 total——8dfresh
16—EVT$1.00 /1k job-itemgood price12 total——8dfresh
16 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →