Publisher · 47 actors

normdata on the Apify Store

normdata publishes 47 actors on the Apify Store, used by 49 people in the last 30 days. Oldest actor is 59d old. Pay-per-result prices run from $4.00 to $28.00 per 1,000 results, with a median of $17.00. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Price spread, $/1k results
$4.00cheapest
$17.00median
4×p5–p95 spread
0%stale (180d+)
100%under a year old
Last 7 dayson this catalogue

…and 35 more changes this week. Follow normdata — every change by email each morning

By monthly users#740↑ 81of 4,120 publishers · 49 users in 30 days
By catalogue size#298↑ 72of 4,120 publishers · 47 actors listed
By users all time#1,092↑ 87of 4,120 publishers · 94 users since they began
Graded1 of 471 C · 46 not yet judged
Needs a build0 of 4747 fresh · 0 aging · stale = no build in 180 days
Carry half the users20 of 44top 3 hold 14.3% · 6.1% 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 build47 actors in the catalogue
Platforms targeted
BetRivers2
Christie's2
Unibet2
Abcdin (Chile)1
Agoda1
Agroline1
Autoline1
AutoScout241

+63 more platforms · 1 of 47 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 (46)

Biggest actors, monthly users
subito-scraper6%
solotodo-scraper4%
getlatka-scraper4%
autoscout24-scraper4%

share of this publisher’s 49 monthly users

71platforms targeted
24 a monthnew actors, last 60 days
Aug 2026first actor still listed
1dsince their newest actor

normdata spreads 47 actors across 71 platforms, most of all BetRivers (2). They have created 24 a month over the last 60 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
49↓ 22over 12 readings
Runs / daymatched per actor
120↑ 84over 11 readings
Runs / 30drolling window, summed
773↓ 614over 12 readings
Actorsin the census that day
47↓ 24over 12 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
16builds published
4/60days with a build
100%of the catalogue touched in 30 days
Last touched
today1
2–7d16
8–30d30

normdata published 16 builds on 4 of the last 60 days. Busiest was 14 Oct (9).

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$19.00 /1khigh price34 total——18dfresh
2—RES$22.00 /1ksteep price23 total——21dfresh
3—RES$22.00 /1ksteep price23 total——2dfresh
4—RES$20.00 /1khigh price23 total——20dfresh
5—RES$28.00 /1ksteep price11 total——21dfresh
6—RES$6.00 /1kgood price12 total——2dfresh
7—RES$14.00 /1kgood price12 total——21dfresh
8—RES$15.00 /1kfair price12 total——5dfresh
9—RES$25.00 /1ksteep price12 total——12dfresh
10—RES$18.00 /1khigh price12 total——13dfresh
11—RES$21.00 /1ksteep price12 total——16dfresh
12—RES$16.00 /1kfair price12 total——20dfresh
13—RES$19.00 /1khigh price12 total——5dfresh
14—RES$6.00 /1kgood price12 total——1dfresh
15—RES$15.00 /1kfair price12 total——9dfresh
16—RES$13.00 /1kgood price12 total——20dfresh
17—RES$14.00 /1kgood price12 total——59dfresh
18—RES$16.00 /1kfair price12 total——16dfresh
19—RES$20.00 /1khigh price11 total——21dfresh
20—RES$13.00 /1kgood price12 total——6dfresh
21—RES$12.00 /1kgood price12 total——6dfresh
22—RES$12.00 /1kgood price12 total——7dfresh
23—RES$18.00 /1khigh price12 total——5dfresh
24—RES$20.00 /1khigh price12 total——10dfresh
25CRES$20.00 /1khigh price12 total100.0%—23dfresh
26—RES$14.00 /1kgood price12 total——21dfresh
27—RES$14.00 /1kgood price12 total——2dfresh
28—RES$19.00 /1khigh price12 total——20dfresh
29—RES$20.00 /1khigh price12 total——2dfresh
30—RES$14.00 /1kgood price12 total——22dfresh
31—RES$16.00 /1kfair price12 total——2dfresh
32—RES$20.00 /1khigh price12 total——18dfresh
33—RES$13.00 /1kgood price12 total——7dfresh
34—RES$24.00 /1ksteep price12 total——13dfresh
35—RES$17.00 /1kfair price12 total——20dfresh
36—RES$19.00 /1khigh price12 total——21dfresh
37—RES$20.00 /1khigh price12 total——20dfresh
38—RES$13.00 /1kgood price12 total——20dfresh
39—RES$21.00 /1ksteep price12 total——14dfresh
40—RES$12.00 /1kgood price12 total——6dfresh
41—RES$12.00 /1kgood price12 total——6dfresh
42—RES$22.00 /1ksteep price12 total——13dfresh
43—RES$14.00 /1kgood price12 total——21dfresh
44—RES$16.00 /1kfair price12 total——5dfresh
45—RES$4.00 /1kgood price01 total——18dfresh
46—RES$18.00 /1khigh price01 total——17dfresh
47—RES$22.00 /1ksteep price01 total——19dfresh
47 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →