Publisher · 110 actors

datamule on the Apify Store

datamule publishes 110 actors on the Apify Store, used by 79 people in the last 30 days. Oldest actor is 4m 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 14 more changes this week. Follow datamule — every change by email each morning

By monthly users#587↓ 18of 4,120 publishers · 79 users in 30 days
By catalogue size#128↓ 3of 4,120 publishers · 110 actors listed
By users all time#843↓ 22of 4,120 publishers · 200 users since they began
Graded1 of 1101 C · 109 not yet judged
Needs a build0 of 11094 fresh · 16 aging · stale = no build in 180 days
Carry half the users31 of 70top 3 hold 12.7% · 7.6% 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 build110 actors in the catalogue
Platforms targeted
Apple App Store2
Wikimedia Commons2
Google Play Store2
Wikidata2
YouTube2
Aleph1
OpenAlex API1
ArcGIS Server1

+61 more platforms · 64 of 110 target no particular site

New actors per month · 2026-07–2026-10
JulAugSepOct

Actors still listed today, by the date the store created them · busiest 2026-07 (103)

Biggest actors, monthly users
app-store-search-scraper8%
youtube-comments-scraper2%
stac-catalog-extractor2%
youtube-data-scraper2%

share of this publisher’s 79 monthly users

69platforms targeted
30 a monthnew actors, last 113 days
Jul 2026first actor still listed
2dsince their newest actor

datamule spreads 110 actors across 69 platforms, most of all Apple App Store (2). They have created 30 a month over the last 113 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
79↓ 11over 30 readings
Runs / daymatched per actor
128↓ 22over 30 readings
Runs / 30drolling window, summed
3,129↑ 35over 30 readings
Actorsin the census that day
110↑ 4over 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
257builds published
13/60days with a build
90%of the catalogue touched in 30 days
Last touched
2–7d4
8–30d95
31–90d4
91–180d7

datamule published 257 builds on 13 of the last 60 days. Busiest was 26 Sep (52).

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$0.50 /1k appgood price69 total——4mfresh
2—EVT$0.17 /1k commentgood price22 total——46dfresh
3—EVT$0.50 /1k itemgood price24 total——4mfresh
4CRES$0.40 /1k24 total97.6%—3mfresh
5—EVT$0.50 /1k recordgood price23 total——4mfresh
6—EVT$0.50 /1k recordgood price12 total——4mfresh
7—EVT$0.50 /1k factgood price12 total——4mfresh
8—EVT$0.50 /1k recordgood price12 total——4mfresh
9—EVT$0.35 /1k jobgood price12 total——2dfresh
10—EVT$0.50 /1k recordgood price12 total——4mfresh
11—EVT$0.50 /1k seriesgood price12 total——4mfresh
12—EVT$0.50 /1k recordgood price12 total——4mfresh
13—EVT$0.50 /1k featuregood price12 total——4mfresh
14—EVT$0.50 /1k recordgood price12 total——4mfresh
15—EVT$0.50 /1k recordgood price12 total——4mfresh
16—EVT$0.50 /1k recordgood price12 total——4mfresh
17—EVT$0.50 /1k recordgood price12 total——4mfresh
18—EVT$0.50 /1k alertgood price12 total——4mfresh
19—EVT$0.50 /1k appgood price11 total——4mfresh
20—EVT$0.50 /1k recordgood price12 total——4mfresh
21—EVT$0.50 /1k recordgood price12 total——4mfresh
22—EVT$0.50 /1k recordgood price12 total——4mfresh
23—EVT$5.00 /1k recallsteep price12 total——21dfresh
24—EVT$0.50 /1k datasetgood price12 total——4mfresh
25—EVT$0.50 /1k recordgood price12 total——4mfresh
26—EVT$0.50 /1k recordgood price12 total——4mfresh
27—EVT$0.50 /1k recordgood price12 total——4mfresh
28—EVT$5.00 /1k recordsteep price12 total——4mfresh
29—EVT$0.50 /1k appgood price12 total——4mfresh
30—EVT$0.50 /1k dataset-itemgood price11 total——4mfresh
31—EVT$0.50 /1k videogood price12 total——4mfresh
32—EVT$0.50 /1k recordgood price12 total——4mfresh
33—EVT$0.50 /1k layergood price12 total——4mfresh
34—EVT$0.50 /1k appgood price11 total——4mfresh
35—EVT$0.50 /1k recordgood price12 total——4mfresh
36—EVT$0.50 /1k recordgood price12 total——4mfresh
37—EVT$0.50 /1k recordgood price12 total——4mfresh
38—EVT$0.50 /1k toolgood price12 total——4mfresh
39—EVT$0.50 /1k recordgood price12 total——4mfresh
40—EVT$0.50 /1k appgood price11 total——4mfresh
41—EVT$0.50 /1k recordgood price12 total——4mfresh
42—EVT$0.50 /1k recordgood price12 total——4mfresh
43—EVT$1.00 /1k entitysteep price12 total——4mfresh
44—EVT$0.50 /1k recordgood price12 total——4mfresh
45—EVT$0.50 /1k recordgood price12 total——4mfresh
46—EVT$0.50 /1k recordgood price12 total——4mfresh
47—EVT$0.50 /1k recordgood price12 total——4mfresh
48—EVT$0.50 /1k recordgood price12 total——4mfresh
49—EVT$0.50 /1k coveragegood price12 total——4mfresh
50—EVT$0.80 /1k productsteep price12 total——39dfresh
51—EVT$0.40 /1k jobgood price12 total——39daging
52—EVT$0.34 /1k jobgood price12 total——19dfresh
53—EVT$0.50 /1k recordgood price12 total——4mfresh
54—EVT$0.50 /1k recordgood price12 total——4maging
55—EVT$0.50 /1k recordgood price12 total——4mfresh
56—EVT$0.50 /1k recordgood price12 total——4mfresh
57—EVT$0.50 /1k itemgood price12 total——4mfresh
58—EVT$0.50 /1k itemgood price12 total——4mfresh
59—EVT$0.35 /1k jobgood price12 total——2dfresh
60—EVT$0.50 /1k recordgood price12 total——4mfresh
61—EVT$0.50 /1k recordgood price12 total——4mfresh
62—EVT$0.40 /1k recordgood price12 total——4mfresh
63—EVT$0.50 /1k recordgood price12 total——4mfresh
64—EVT$0.50 /1k recordgood price11 total——4mfresh
65—EVT$0.50 /1k recordgood price11 total——4mfresh
66—EVT$0.50 /1k repogood price12 total——4mfresh
67—EVT$0.50 /1k layergood price12 total——4mfresh
68—EVT$0.50 /1k recordgood price12 total——4mfresh
69—EVT$0.50 /1k itemgood price12 total——4mfresh
70—EVT$0.50 /1k recordgood price12 total——4mfresh
71—EVT$0.50 /1k recordgood price01 total——4maging
72—EVT$0.50 /1k recordgood price01 total——4mfresh
73—EVT$0.50 /1k recordgood price01 total——4mfresh
74—EVT$0.50 /1k resourcegood price01 total——4maging
75—EVT$0.50 /1k recordgood price01 total——4mfresh
76—EVT$0.50 /1k featuregood price01 total——4mfresh
77—EVT$0.50 /1k recordgood price01 total——4mfresh
78—EVT$0.50 /1k recordgood price01 total——4mfresh
79—EVT$0.50 /1k itemgood price01 total——4mfresh
80—EVT$0.50 /1k recordgood price01 total——4mfresh
81—EVT$0.50 /1k featuregood price04 total——4mfresh
82—EVT$0.50 /1k recordgood price02 total——4maging
83—EVT$0.50 /1k recordgood price01 total——4maging
84—EVT$0.50 /1k recordgood price01 total——4mfresh
85—EVT$0.50 /1k recordgood price01 total——4mfresh
86—EVT$0.50 /1k recordgood price01 total——4mfresh
87—EVT$0.50 /1k recordgood price01 total——4mfresh
88—EVT$0.40 /1k recordgood price02 total——4maging
89—EVT$0.50 /1k monitorgood price02 total——4maging
90—EVT$0.50 /1k recordgood price01 total——4mfresh
91—EVT$0.50 /1k recordgood price01 total——4mfresh
92—EVT$0.50 /1k chartgood price01 total——4mfresh
93—EVT$0.50 /1k packagegood price01 total——4mfresh
94—EVT$0.50 /1k recordgood price01 total——4mfresh
95—EVT$0.50 /1k appgood price01 total——4mfresh
96—EVT$0.50 /1k recordgood price01 total——4mfresh
97—EVT$2.00 /1k extensionsteep price02 total——4maging
98—EVT$0.50 /1k recordgood price01 total——4maging
99—EVT$0.50 /1k recordgood price01 total——4maging
100—EVT$0.50 /1k entitygood price02 total——4maging
101—EVT$0.50 /1k recordgood price02 total——4maging
102—EVT$0.50 /1k recordgood price02 total——4maging
103—EVT$0.50 /1k observationgood price02 total——4mfresh
104—EVT$0.50 /1k entitygood price01 total——4mfresh
105—EVT$0.50 /1k packagegood price02 total——4maging
106—EVT$0.50 /1k mementogood price01 total——4mfresh
107—EVT$0.40 /1k reviewgood price01 total——4maging
108—RES$0.50 /1k02 total——4mfresh
109—EVT$0.50 /1k recordgood price01 total——4mfresh
110—EVT$0.50 /1k bindinggood price02 total——4mfresh
110 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →