Publisher · 10 actors

spool on the Apify Store

spool publishes 10 actors on the Apify Store, used by 17 people in the last 30 days. Average rating 5.0 across 2 rated actors. Oldest actor is 55d 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 4 more changes this week. Follow spool — every change by email each morning

By monthly users#1,230↑ 42of 4,120 publishers · 17 users in 30 days
By catalogue size#1,055↓ 40of 4,120 publishers · 10 actors listed
By users all time#1,423↑ 67of 4,120 publishers · 46 users since they began
Graded1 of 101 B · 9 not yet judged
Needs a build0 of 1010 fresh · 0 aging · stale = no build in 180 days
Carry half the users3 of 10top 3 hold 52.9% · 29.4% 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 build10 actors in the catalogue
Platforms targeted
Shopify3
Workday3
Ashby2
Eightfold2
Greenhouse2
Lever2
Oracle Cloud HCM2
Phenom2

+10 more platforms · 1 of 10 target no particular site

New actors per month · 2026-08–2026-10
AugSepOct

Actors still listed today, by the date the store created them · busiest 2026-09 (5)

Biggest actors, monthly users
job-board-api29%
job-search12%
shopify-store-products-scraper12%
career-page-jobs-api12%

share of this publisher’s 17 monthly users

18platforms targeted
5.4 a monthnew actors, last 56 days
Aug 2026first actor still listed
14dsince their newest actor

spool spreads 10 actors across 18 platforms, most of all Shopify (3). They have created 5.4 a month over the last 56 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
17↑ 9over 30 readings
Runs / daymatched per actor
20↑ 9over 30 readings
Runs / 30drolling window, summed
406↑ 219over 30 readings
Actorsin the census that day
10↑ 3over 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
55builds published
7/60days with a build
100%of the catalogue touched in 30 days
Last touched
8–30d10

spool published 55 builds on 7 of the last 60 days. Busiest was 5 Oct (20).

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
1BEVT$5.00 /1k job-scrapedfair price519 total100.0%5.0 (1)20dfresh
2—EVT$3.00 /1k jobgood price28 total——14dfresh
3—EVT$2.00 /1k product-enrichedgood price23 total——35dfresh
4—EVT$3.50 /1k jobfair price22 total——15dfresh
5—EVT$50.00 /1k company-resolvedsteep price11 total——49dfresh
6—EVT$2.00 /1k product-enrichedgood price12 total——35dfresh
7—EVT$30.00 /1k store-analyzedhigh price12 total——35dfresh
8—RES$5.00 /1k13 total——55dfresh
9—EVT$40.00 /1k company-foundhigh price12 total——49dfresh
10—RES$3.00 /1k14 total—5.0 (1)55dfresh
10 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →