Publisher · 3 actors

data_pool on the Apify Store

data_pool publishes 3 actors on the Apify Store, used by 178 people in the last 30 days. Average rating 5.0 across 3 rated actors. Oldest actor is 3m 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

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By monthly users#381↑ 26of 4,120 publishers · 178 users in 30 days
By catalogue size#2,101↑ 3of 4,120 publishers · 3 actors listed
By users all time#679↑ 32of 4,120 publishers · 332 users since they began
Graded3 of 33 C
Needs a build0 of 30 fresh · 3 aging · stale = no build in 180 days
Carries half the users1 of 3top 3 hold 100% · 57.3% 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 build3 actors in the catalogue
Platforms targeted
LinkedIn3
Biggest actors, monthly users
linkedin-post-scraper57%
linkedin-post-engagement-scraper37%
linkedin-jobs-scraper6%

share of this publisher’s 178 monthly users

1platform targeted
one every 34 daysnew actors, last 103 days
Jul 2026first actor still listed
78dsince their newest actor

data_pool is a LinkedIn specialist: 3 of 3 actors target it. They add one every 34 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
178↑ 110over 30 readings
Runs / daymatched per actor
381↑ 245over 30 readings
Runs / 30drolling window, summed
6,185↑ 3,511over 30 readings
Actorsin the census that day
3→ 0over 30 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
0%of the catalogue touched in 30 days
Last touched
31–90d3

No build from data_pool 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
1CEVT$1.50 /1k post-scraped102197 total99.3%5.0 (4)3maging
2CEVT$1.50 /1k engager-scraped66109 total99.7%5.0 (1)3maging
3CEVT$0.50 /1k job-scraped1026 total99.2%5.0 (1)3maging
3 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →