Publisher · 50 actors

reventadata on the Apify Store

reventadata publishes 50 actors on the Apify Store, used by 45 people in the last 30 days. Oldest actor is 2m old. Pay-per-result prices run from $1.00 to $5.00 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.

Claim this publisherIs this your catalogue? Claiming is free, and its full history is yours forever.
Price spread, $/1k results
$1.00cheapest
$1.00median
4×p5–p95 spread
0%stale (180d+)
100%under a year old
Last 7 dayson this catalogue

…and 44 more changes this week. Follow reventadata — every change by email each morning

By monthly users#774↑ 261of 4,120 publishers · 45 users in 30 days
By catalogue size#279↑ 157of 4,120 publishers · 50 actors listed
By users all time#1,071↑ 216of 4,120 publishers · 99 users since they began
Graded1 of 501 C · 49 not yet judged
Needs a build0 of 5040 fresh · 10 aging · stale = no build in 180 days
Carry half the users22 of 44top 3 hold 8.9% · 4.4% 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 build50 actors in the catalogue
Platforms targeted
Instagram2
Milanuncios2
Wallapop2
A Better Routeplanner (ABRP)1
AliExpress1
Amazon1
Back Market1
Bing1

+47 more platforms · 2 of 50 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 (34)

Biggest actors, monthly users
viamichelin-scraper4%
olx-scraper2%
park4night-scraper2%
gumtree-scraper2%

share of this publisher’s 45 monthly users

55platforms targeted
23 a monthnew actors, last 66 days
Aug 2026first actor still listed
2dsince their newest actor

reventadata spreads 50 actors across 55 platforms, most of all Instagram (2). They have created 23 a month over the last 66 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
45↑ 28over 30 readings
Runs / daymatched per actor
62↑ 50over 30 readings
Runs / 30drolling window, summed
734↑ 283over 30 readings
Actorsin the census that day
50↑ 35over 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
138builds published
15/60days with a build
80%of the catalogue touched in 30 days
Last touched
today3
2–7d26
8–30d11
31–90d10

reventadata published 138 builds on 15 of the last 60 days. Busiest was 21 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
1CRES$1.00 /1kgood price23 total100.0%—32dfresh
2—RES$1.00 /1kgood price11 total——2maging
3—RES$1.00 /1kgood price12 total——12dfresh
4—RES$1.00 /1kgood price12 total——2mfresh
5—RES$1.00 /1kgood price12 total——3dfresh
6—RES$2.00 /1khigh price12 total——7dfresh
7—RES$1.00 /1kgood price12 total——3dfresh
8—RES$1.00 /1kgood price12 total——8dfresh
9—RES$1.00 /1kgood price12 total——4dfresh
10—RES$1.00 /1kgood price12 total——12dfresh
11—RES$1.50 /1khigh price12 total——7dfresh
12—RES$1.00 /1kgood price12 total——32dfresh
13—RES$1.00 /1kgood price12 total——2maging
14—RES$1.00 /1kgood price12 total——12dfresh
15—RES$1.00 /1kgood price12 total——4dfresh
16—RES$3.00 /1ksteep price12 total——7dfresh
17—RES$1.00 /1kgood price12 total——8dfresh
18—RES$2.50 /1ksteep price12 total——7dfresh
19—RES$1.00 /1kgood price12 total——2maging
20—RES$2.00 /1khigh price12 total——7dfresh
21—RES$1.00 /1kgood price12 total——8dfresh
22—RES$1.50 /1khigh price12 total——12dfresh
23—RES$2.00 /1khigh price12 total——8dfresh
24—RES$1.00 /1kgood price12 total——4dfresh
25—RES$1.00 /1kgood price12 total——32dfresh
26—RES$4.00 /1ksteep price12 total——12dfresh
27—RES$2.00 /1khigh price12 total——7dfresh
28—RES$1.50 /1khigh price12 total——2dfresh
29—RES$5.00 /1ksteep price12 total——32dfresh
30—RES$1.00 /1kgood price12 total——3dfresh
31—RES$4.50 /1ksteep price12 total——7dfresh
32—RES$2.50 /1ksteep price12 total——7dfresh
33—RES$2.50 /1ksteep price12 total——7dfresh
34—RES$1.00 /1kgood price12 total——12dfresh
35—RES$2.00 /1khigh price12 total——7dfresh
36—RES$1.00 /1kgood price12 total——2maging
37—RES$1.00 /1kgood price12 total——12dfresh
38—RES$1.00 /1kgood price12 total——2dfresh
39—RES$1.00 /1kgood price12 total——3dfresh
40—RES$2.00 /1khigh price12 total——7dfresh
41—RES$1.00 /1kgood price12 total——3dfresh
42—RES$1.00 /1kgood price12 total——2maging
43—RES$2.00 /1khigh price12 total——7dfresh
44—RES$1.00 /1kgood price12 total——12dfresh
45—RES$1.00 /1kgood price01 total——58daging
46—RES$1.00 /1kgood price01 total——2maging
47—RES$1.00 /1kgood price05 total——2maging
48—RES$1.00 /1kgood price01 total——2maging
49—RES$1.00 /1kgood price01 total——50dfresh
50—RES$1.00 /1kgood price02 total——2maging
50 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →