Publisher · 97 actors

thriftykiwi on the Apify Store

thriftykiwi publishes 97 actors on the Apify Store, used by 102 people in the last 30 days. Oldest actor is 4m old. Pay-per-result prices run from $1.00 to $1.00 per 1,000 results, with a median of $1.00. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Price spread, $/1k results
$1.00cheapest
$1.00median
1×p5–p95 spread
0%stale (180d+)
100%under a year old
Last 7 dayson this catalogue

…and 28 more changes this week. Follow thriftykiwi — every change by email each morning

By monthly users#521↑ 25of 4,120 publishers · 102 users in 30 days
By catalogue size#155↑ 8of 4,120 publishers · 97 actors listed
By users all time#849↑ 26of 4,120 publishers · 196 users since they began
Needs a build0 of 9766 fresh · 31 aging · stale = no build in 180 days
Carry half the users45 of 96top 3 hold 5.9% · 2% 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 build97 actors in the catalogue
Platforms targeted
Apple App Store3
Open Food Facts3
Google Patents3
arXiv2
AusTender2
Brønnøysund Register Centre2
USGS Earthquake Hazards Program2
UK Trade Tariff2

+98 more platforms · 14 of 97 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 2026-10 (35)

Biggest actors, monthly users
trademark-search-aggregator2%
air-quality-scraper2%
local-business-leads-scraper2%
nz-gets-scraper2%

share of this publisher’s 102 monthly users

106platforms targeted
27 a monthnew actors, last 110 days
Jul 2026first actor still listed
5dsince their newest actor

thriftykiwi spreads 97 actors across 106 platforms, most of all Apple App Store (3). They have created 27 a month over the last 110 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
102↑ 50over 23 readings
Runs / daymatched per actor
94↑ 52over 22 readings
Runs / 30drolling window, summed
1,805↑ 869over 23 readings
Actorsin the census that day
97↑ 45over 23 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
1builds published
1/60days with a build
68%of the catalogue touched in 30 days
Last touched
2–7d15
8–30d51
31–90d30
91–180d1

thriftykiwi published 1 build on 1 of the last 60 days. Busiest was 16 Oct (1).

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—RES$1.00 /1kgood price22 total——23dfresh
2—EVT$1.00 /1k push-datagood price23 total——2maging
3—RES$1.00 /1kgood price23 total——23dfresh
4—EVT$1.00 /1k push-datagood price23 total——3maging
5—RES$1.00 /1kgood price23 total——23dfresh
6—RES$1.00 /1kgood price23 total——23dfresh
7—RES$1.00 /1kgood price12 total——23dfresh
8—EVT$1.00 /1k push-datagood price12 total——3maging
9—RES$1.00 /1kgood price11 total——23dfresh
10—RES$1.00 /1kgood price12 total——27dfresh
11—RES$1.00 /1kgood price12 total——27dfresh
12—EVT$1.00 /1k push-datagood price12 total——2maging
13—RES$1.00 /1kgood price12 total——5dfresh
14—RES$1.00 /1kgood price12 total——5dfresh
15—RES$1.00 /1kgood price12 total——27dfresh
16—EVT$1.00 /1k push-datagood price12 total——2maging
17—RES$1.00 /1kgood price12 total——27dfresh
18—RES$1.00 /1kgood price12 total——27dfresh
19—EVT$5.00 /1k push-datahigh price12 total——3maging
20—RES$1.00 /1kgood price12 total——5dfresh
21—EVT$5.00 /1k push-datahigh price12 total——3maging
22—RES$1.00 /1kgood price12 total——5dfresh
23—EVT$1.00 /1k push-datagood price12 total——2maging
24—RES$1.00 /1kgood price12 total——27dfresh
25—RES$1.00 /1kgood price12 total——23dfresh
26—RES$1.00 /1kgood price12 total——23dfresh
27—RES$1.00 /1kgood price12 total——5dfresh
28—RES$1.00 /1kgood price12 total——23dfresh
29—RES$1.00 /1kgood price12 total——27dfresh
30—RES$1.00 /1kgood price12 total——23dfresh
31—EVT$5.00 /1k push-datahigh price12 total——3maging
32—RES$1.00 /1kgood price12 total——27dfresh
33—EVT$1.00 /1k push-datagood price12 total——3maging
34—RES$1.00 /1kgood price12 total——5dfresh
35—RES$1.00 /1kgood price12 total——5dfresh
36—EVT$1.00 /1k push-datagood price12 total——2maging
37—RES$1.00 /1kgood price12 total——27dfresh
38—EVT$1.00 /1k push-datagood price12 total——2maging
39—RES$1.00 /1kgood price12 total——4maging
40—RES$1.00 /1kgood price12 total——5dfresh
41—RES$1.00 /1kgood price12 total——27dfresh
42—RES$1.00 /1kgood price12 total——23dfresh
43—RES$1.00 /1kgood price12 total——27dfresh
44—EVT$5.00 /1k push-datahigh price12 total——3maging
45—EVT$1.00 /1k push-datagood price12 total——2maging
46—EVT$5.00 /1k push-datahigh price12 total——3maging
47—EVT$1.00 /1k push-datagood price12 total——2maging
48—RES$1.00 /1kgood price12 total——27dfresh
49—EVT$3.00 /1k push-datafair price12 total——3maging
50—EVT$1.00 /1k push-datagood price12 total——3mfresh
51—EVT$3.00 /1k push-datafair price12 total——3maging
52—RES$1.00 /1kgood price12 total——5dfresh
53—EVT$5.00 /1k push-datahigh price12 total——3maging
54—RES$1.00 /1kgood price12 total——23dfresh
55—RES$1.00 /1kgood price12 total——26dfresh
56—EVT$5.00 /1k push-datahigh price12 total——4maging
57—RES$1.00 /1kgood price12 total——26dfresh
58—EVT$1.00 /1k push-datagood price12 total——2maging
59—EVT$5.00 /1k push-datahigh price12 total——4maging
60—RES$1.00 /1kgood price12 total——5dfresh
61—RES$1.00 /1kgood price12 total——23dfresh
62—RES$1.00 /1kgood price12 total——23dfresh
63—EVT$5.00 /1k push-datahigh price12 total——3maging
64—RES$1.00 /1kgood price12 total——5dfresh
65—RES$1.00 /1kgood price12 total——27dfresh
66—RES$1.00 /1kgood price12 total——5dfresh
67—RES$1.00 /1kgood price12 total——5dfresh
68—EVT$5.00 /1k push-datahigh price11 total——3maging
69—EVT$5.00 /1k push-datahigh price12 total——4maging
70—RES$1.00 /1kgood price12 total——23dfresh
71—RES$1.00 /1kgood price12 total——27dfresh
72—RES$1.00 /1kgood price12 total——23dfresh
73—RES$1.00 /1kgood price12 total——27dfresh
74—RES$1.00 /1kgood price12 total——27dfresh
75—RES$1.00 /1kgood price12 total——23dfresh
76—RES$1.00 /1kgood price12 total——27dfresh
77—EVT$5.00 /1k push-datahigh price12 total——4maging
78—RES$1.00 /1kgood price12 total——5dfresh
79—RES$1.00 /1kgood price12 total——27dfresh
80—RES$1.00 /1kgood price12 total——27dfresh
81—RES$1.00 /1kgood price12 total——27dfresh
82—EVT$5.00 /1k push-datahigh price12 total——3maging
83—RES$1.00 /1kgood price12 total——27dfresh
84—RES$1.00 /1kgood price12 total——5dfresh
85—RES$1.00 /1kgood price12 total——27dfresh
86—EVT$1.00 /1k push-datagood price12 total——3maging
87—RES$1.00 /1kgood price12 total——23dfresh
88—EVT$1.00 /1k push-datagood price12 total——2maging
89—RES$1.00 /1kgood price12 total——27dfresh
90—RES$1.00 /1kgood price12 total——27dfresh
91—RES$1.00 /1kgood price12 total——27dfresh
92—RES$1.00 /1kgood price12 total——27dfresh
93—RES$1.00 /1kgood price12 total——27dfresh
94—RES$1.00 /1kgood price12 total——23dfresh
95—RES$1.00 /1kgood price12 total——27dfresh
96—EVT$5.00 /1k push-datahigh price12 total——3maging
97—RES$1.00 /1kgood price01 total——23dfresh
97 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →