Publisher · 12 actors

enterprising_hamster on the Apify Store

enterprising_hamster publishes 12 actors on the Apify Store, used by 11 people in the last 30 days. Oldest actor is 5d 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 56 more changes this week. Follow enterprising_hamster — every change by email each morning

By monthly users#1,483newof 4,120 publishers · 11 users in 30 days
By catalogue size#941newof 4,120 publishers · 12 actors listed
By users all time#1,808newof 4,120 publishers · 22 users since they began
Needs a build0 of 1212 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 build12 actors in the catalogue
Platforms targeted
api.raporty.pse.pl1
CEPiK API (Poland)1
dane.gov.pl1
European Institute of Public Administration (EIPA)1
Główny Inspektorat Nadzoru Budowlanego1
Ministry of Health (Poland)1
GUGiK ULDK1
Sejm ELI API / ISAP1

+1 more platform · 4 of 12 target no particular site

Biggest actors, monthly users
polish-eu-funds-tenders-baza-konkurencyjnosci9%
polish-legal-acts-eli9%
polish-ev-charging-stations-eipa9%
polish-healthcare-facilities-rpwdl9%

share of this publisher’s 11 monthly users

9platforms targeted
12 a monthnew actors, last 30 days
Oct 2026first actor still listed
2dsince their newest actor

enterprising_hamster spreads 12 actors across 9 platforms, most of all api.raporty.pse.pl (1). They have created 12 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↑ 7over 4 readings
Runs / daymatched per actor
27↑ 27over 3 readings
Runs / 30drolling window, summed
39↑ 39over 4 readings
Actorsin the census that day
12↑ 7over 4 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
44builds published
2/60days with a build
100%of the catalogue touched in 30 days
Last touched
today12

enterprising_hamster published 44 builds on 2 of the last 60 days. Busiest was 23 Oct (43).

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$8.00 /1k announcement-with-high price12 total——4dfresh
2—EVT$8.00 /1k act-with-texthigh price12 total——5dfresh
3—EVT$3.00 /1k stationgood price12 total——2dfresh
4—EVT$4.00 /1k facilityfair price12 total——3dfresh
5—EVT$4.00 /1k parcelfair price12 total——3dfresh
6—EVT$2.00 /1k offergood price12 total——4dfresh
7—EVT$3.00 /1k statistics-rowgood price11 total——3dfresh
8—EVT$3.00 /1k tendergood price12 total——3dfresh
9—EVT$0.30 /1k data-rowgood price12 total——4dfresh
10—EVT$2.00 /1k projectgood price12 total——3dfresh
11—EVT$10.00 /1k judgment-with-textsteep price12 total——5dfresh
12—EVT$5.00 /1k tool-callhigh price01 total——4dfresh
12 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →