Publisher · 17 actors

pennydata on the Apify Store

pennydata publishes 17 actors on the Apify Store, used by 17 people in the last 30 days. Oldest actor is 8d old. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Last 7 dayson this catalogue

…and 151 more changes this week. Follow pennydata — every change by email each morning

By monthly users#1,230newof 4,120 publishers · 17 users in 30 days
By catalogue size#722newof 4,120 publishers · 17 actors listed
By users all time#1,570newof 4,120 publishers · 34 users since they began
Needs a build0 of 1717 fresh · 0 aging · stale = no build in 180 days
Carry half the users9 of 17top 3 hold 17.6% · 5.9% 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 build17 actors in the catalogue
Platforms targeted
Apple App Store1
Internet Archive1
Lemmy1
Shopify1

13 of 17 target no particular site

Biggest actors, monthly users
sitemap-extractor-plus6%
lei-company-lookup-bulk6%
archive-org-items-search6%
website-tech-stack-detector6%

share of this publisher’s 17 monthly users

4platforms targeted
17 a monthnew actors, last 30 days
Oct 2026first actor still listed
1dsince their newest actor

pennydata spreads 17 actors across 4 platforms, most of all Apple App Store (1). They have created 17 a month over the last 30 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
17↑ 8over 4 readings
Runs / daymatched per actor
19↓ 2over 3 readings
Runs / 30drolling window, summed
59↑ 29over 4 readings
Actorsin the census that day
17↑ 8over 4 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
127builds published
3/60days with a build
100%of the catalogue touched in 30 days
Last touched
today17

pennydata published 127 builds on 3 of the last 60 days. Busiest was 22 Oct (55).

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—EVT$0.40 /1k url-extractedgood price12 total——4dfresh
2—EVT$1.00 /1k company-rowfair price12 total——3dfresh
3—EVT$2.00 /1k itemhigh price12 total——2dfresh
4—EVT$1.50 /1k url-analyzedhigh price12 total——8dfresh
5—EVT$1.50 /1k store-leadhigh price12 total——5dfresh
6—EVT$0.40 /1k email-validatedgood price12 total——8dfresh
7—EVT$0.50 /1k phone-validatedgood price12 total——4dfresh
8—EVT$6.00 /1k audio-minutesteep price12 total——3dfresh
9—RES$0.25 /1k12 total——1dfresh
10—EVT$1.00 /1k file-downloadedfair price12 total——3dfresh
11—EVT$0.80 /1k frame-extractedfair price12 total——3dfresh
12—EVT$4.00 /1k pdfsteep price12 total——8dfresh
13—EVT$0.10 /1k review-resultgood price12 total——8dfresh
14—EVT$2.00 /1k player-rowhigh price12 total——1dfresh
15—EVT$1.00 /1k domain-lookupfair price12 total——8dfresh
16—EVT$1.00 /1k domain-processedfair price12 total——4dfresh
17—EVT$0.30 /1k feed-itemgood price12 total——4dfresh
17 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →