Publisher · 74 actors

scrapingmonkey on the Apify Store

scrapingmonkey publishes 74 actors on the Apify Store, used by 186 people in the last 30 days. Oldest actor is 2m old. Pay-per-result prices run from $3.00 to $3.00 per 1,000 results, with a median of $3.00. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Price spread, $/1k results
$3.00cheapest
$3.00median
1×p5–p95 spread
0%stale (180d+)
100%under a year old
Last 7 dayson this catalogue

…and 79 more changes this week. Follow scrapingmonkey — every change by email each morning

By monthly users#368↓ 65of 4,120 publishers · 186 users in 30 days
By catalogue size#210↓ 96of 4,120 publishers · 74 actors listed
By users all time#608↓ 40of 4,120 publishers · 445 users since they began
Graded4 of 744 C · 70 not yet judged
Needs a build0 of 7463 fresh · 11 aging · stale = no build in 180 days
Carry half the users5 of 70top 3 hold 37.6% · 14.5% 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 build74 actors in the catalogue
Platforms targeted
Facebook2
Instagram2
LinkedIn2
X (Twitter)2
8891 (Taiwan)1
BASE (Bielefeld Academic Search Engine)1
Building and Construction Authority (Singapore)1
Naver Blog1

+57 more platforms · 5 of 74 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 2026-10 (62)

Biggest actors, monthly users
tiktok-scraper14%
instagram-carousel-scraper14%
vk-public-data-scraper9%
facebook-page-followers-scraper8%

share of this publisher’s 186 monthly users

65platforms targeted
30 a monthnew actors, last 76 days
Aug 2026first actor still listed
9dsince their newest actor

scrapingmonkey spreads 74 actors across 65 platforms, most of all Facebook (2). They have created 30 a month over the last 76 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
186↓ 51over 30 readings
Runs / daymatched per actor
156↓ 267over 30 readings
Runs / 30drolling window, summed
2,814↓ 369over 30 readings
Actorsin the census that day
74↓ 94over 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
79builds published
7/60days with a build
86%of the catalogue touched in 30 days
Last touched
today6
2–7d30
8–30d28
31–90d10

scrapingmonkey published 79 builds on 7 of the last 60 days. Busiest was 24 Sep (30).

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$2.00 /1k profile-result2767 total91.9%—2mfresh
2CRES$3.00 /1kgood price2645 total100.0%—49daging
3CEVT$5.00 /1k owner-result1748 total85.6%—2maging
4—RES$3.00 /1kgood price1540 total——48daging
5—RES$3.00 /1kgood price1251 total——47daging
6CRES$3.00 /1kgood price1217 total97.2%—47daging
7—RES$3.00 /1kgood price88 total——22dfresh
8—EVT$0.75 /1k message312 total——2maging
9—RES$3.00 /1kgood price34 total——47daging
10—EVT$1.50 /1k profile-result212 total——2maging
11—RES$3.00 /1kgood price23 total——22dfresh
12—RES$3.00 /1kgood price12 total——11dfresh
13—RES$3.00 /1kgood price12 total——9dfresh
14—RES$3.00 /1kgood price12 total——11dfresh
15—RES$3.00 /1kgood price12 total——9dfresh
16—RES$3.00 /1kgood price12 total——11dfresh
17—RES$3.00 /1kgood price12 total——9dfresh
18—RES$3.00 /1kgood price12 total——9dfresh
19—RES$3.00 /1kgood price12 total——10dfresh
20—RES$3.00 /1kgood price12 total——9dfresh
21—RES$3.00 /1kgood price12 total——10dfresh
22—RES$3.00 /1kgood price12 total——9dfresh
23—RES$3.00 /1kgood price12 total——11dfresh
24—RES$3.00 /1kgood price12 total——9dfresh
25—RES$3.00 /1kgood price12 total——9dfresh
26—RES$3.00 /1kgood price12 total——9dfresh
27—RES$3.00 /1kgood price12 total——10dfresh
28—RES$3.00 /1kgood price12 total——9dfresh
29—RES$3.00 /1kgood price12 total——9dfresh
30—RES$3.00 /1kgood price12 total——9dfresh
31—RES$3.00 /1kgood price12 total——11dfresh
32—RES$3.00 /1kgood price12 total——9dfresh
33—RES$3.00 /1kgood price12 total——9dfresh
34—RES$3.00 /1kgood price12 total——9dfresh
35—RES$3.00 /1kgood price12 total——9dfresh
36—RES$3.00 /1kgood price12 total——9dfresh
37—RES$3.00 /1kgood price12 total——9dfresh
38—RES$3.00 /1kgood price12 total——9dfresh
39—RES$3.00 /1kgood price12 total——10dfresh
40—RES$3.00 /1kgood price12 total——9dfresh
41—RES$3.00 /1kgood price12 total——11dfresh
42—RES$3.00 /1kgood price12 total——9dfresh
43—RES$3.00 /1kgood price118 total——51daging
44—RES$3.00 /1kgood price12 total——9dfresh
45—RES$3.00 /1kgood price12 total——11dfresh
46—RES$3.00 /1kgood price12 total——11dfresh
47—RES$3.00 /1kgood price12 total——11dfresh
48—RES$3.00 /1kgood price12 total——10dfresh
49—RES$3.00 /1kgood price12 total——9dfresh
50—RES$3.00 /1kgood price12 total——9dfresh
51—RES$3.00 /1kgood price12 total——9dfresh
52—RES$3.00 /1kgood price12 total——11dfresh
53—RES$3.00 /1kgood price12 total——9dfresh
54—RES$3.00 /1kgood price12 total——11dfresh
55—RES$3.00 /1kgood price12 total——11dfresh
56—RES$3.00 /1kgood price12 total——9dfresh
57—RES$3.00 /1kgood price12 total——11dfresh
58—RES$3.00 /1kgood price12 total——11dfresh
59—RES$3.00 /1kgood price12 total——11dfresh
60—RES$3.00 /1kgood price12 total——9dfresh
61—RES$3.00 /1kgood price12 total——9dfresh
62—RES$3.00 /1kgood price12 total——10dfresh
63—RES$3.00 /1kgood price12 total——9dfresh
64—RES$3.00 /1kgood price12 total——9dfresh
65—RES$3.00 /1kgood price12 total——9dfresh
66—RES$3.00 /1kgood price12 total——46daging
67—RES$3.00 /1kgood price12 total——33daging
68—RES$3.00 /1kgood price12 total——9dfresh
69—RES$3.00 /1kgood price12 total——22dfresh
70—RES$3.00 /1kgood price12 total——10dfresh
71—RES$3.00 /1kgood price01 total——9dfresh
72—RES$3.00 /1kgood price01 total——9dfresh
73—RES$3.00 /1kgood price01 total——9dfresh
74—RES$3.00 /1kgood price01 total——9dfresh
74 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →