Publisher · 11 actors

datadesk-io on the Apify Store

datadesk-io publishes 11 actors on the Apify Store, used by 10 people in the last 30 days. Oldest actor is 8d old. Prices, reliability and maintenance below come from our daily census of the public store catalog.

Claim this publisherIs this your catalogue? Claiming is free, and its full history is yours forever.
Last 7 dayson this catalogue

…and 41 more changes this week. Follow datadesk-io — every change by email each morning

By monthly users#1,550newof 4,120 publishers · 10 users in 30 days
By catalogue size#985newof 4,120 publishers · 11 actors listed
By users all time#1,854newof 4,120 publishers · 21 users since they began
Needs a build0 of 1111 fresh · 0 aging · stale = no build in 180 days
Carry half the users5 of 10top 3 hold 30% · 10% 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
Apple App Store1
Arbeitnow1
BambooHR1
Bumeran1
Computrabajo1
Himalayas1
Jobicy1
Konzerta1

+14 more platforms · 4 of 11 target no particular site

Biggest actors, monthly users
sec-edgar-filings10%
app-store-google-play-reviews-scraper10%
remote-jobs-aggregator10%
product-hunt-hacker-news-launches10%

share of this publisher’s 10 monthly users

22platforms targeted
11 a monthnew actors, last 30 days
Oct 2026first actor still listed
3dsince their newest actor

datadesk-io spreads 11 actors across 22 platforms, most of all Apple App Store (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
10↑ 4over 5 readings
Runs / daymatched per actor
19↓ 30over 4 readings
Runs / 30drolling window, summed
55↑ 38over 5 readings
Actorsin the census that day
11↑ 5over 5 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
32builds published
2/60days with a build
100%of the catalogue touched in 30 days
Last touched
2–7d11

datadesk-io published 32 builds on 2 of the last 60 days. Busiest was 20 Oct (18).

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 filingfair price12 total——4dfresh
2—EVT$0.30 /1k reviewgood price12 total——8dfresh
3—EVT$1.00 /1k jobfair price12 total——4dfresh
4—EVT$0.50 /1k launchgood price12 total——8dfresh
5—EVT$1.00 /1k jobfair price12 total——8dfresh
6—EVT$2.00 /1k website-with-contahigh price12 total——8dfresh
7—EVT$3.00 /1k companysteep price12 total——3dfresh
8—EVT$0.40 /1k reviewgood price12 total——8dfresh
9—EVT$2.00 /1k screenshothigh price12 total——4dfresh
10—EVT$1.00 /1k jobfair price12 total——8dfresh
11—RES$1.00 /1k01 total——3dfresh
11 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →