Publisher · 10 actors

adventurous_nut on the Apify Store

adventurous_nut publishes 10 actors on the Apify Store, used by 13 people in the last 30 days. Average rating 4.2 across 4 rated actors. Oldest actor is 10m 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 1 more change this week. Follow adventurous_nut — every change by email each morning

By monthly users#1,390↓ 62of 4,120 publishers · 13 users in 30 days
By catalogue size#1,055↓ 40of 4,120 publishers · 10 actors listed
By users all time#982↓ 29of 4,120 publishers · 131 users since they began
Graded2 of 102 C · 8 not yet judged
Needs a build0 of 102 fresh · 8 aging · stale = no build in 180 days
Carry half the users2 of 5top 3 hold 84.6% · 38.5% 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 build10 actors in the catalogue
Platforms targeted
Yelp2
CoinMarketCap1
Furnished Finder1
job.ch1
Leboncoin1
NaukriGulf1
PropWire1
Tripadvisor1

+1 more platform

Biggest actors, monthly users
furnished-finder-rental-listings-scraper38%
propwire-advanced-property-owner-data-scraper31%
coinmarketcap-scraper-fast-reliable15%
Yelp-Data-Extractor-Lead-Gen-Reputation-Management8%

share of this publisher’s 13 monthly users

9platforms targeted
1 a monthnew actors, last 293 days
Jan 2026first actor still listed
252dsince their newest actor

adventurous_nut spreads 10 actors across 9 platforms, most of all Yelp (2). They have created 1 a month over the last 293 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
13↑ 1over 30 readings
Runs / daymatched per actor
23↓ 12over 30 readings
Runs / 30drolling window, summed
987↑ 573over 30 readings
Actorsin the census that day
10↓ 1over 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
272builds published
17/60days with a build
20%of the catalogue touched in 30 days
Last touched
8–30d2
31–90d8

adventurous_nut published 272 builds on 17 of the last 60 days. Busiest was 26 Sep (63).

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 price518 total92.1%4.0 (1)9maging
2CEVT$1.00 /1k event-item454 total97.3%3.0 (4)9mfresh
3—RES$1.00 /1kgood price25 total——10mfresh
4—RES$1.00 /1kgood price16 total——8maging
5—RES$1.00 /1kgood price116 total——10maging
6—RES$1.00 /1kgood price06 total—5.0 (1)9maging
7—RES$1.00 /1kgood price011 total——9maging
8—RES$1.00 /1kgood price04 total——9maging
9—RES$1.00 /1kgood price09 total—5.0 (1)9maging
10—RES$1.00 /1kgood price02 total——8maging
10 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →