Publisher · 10 actors

chirpy_polygon on the Apify Store

chirpy_polygon publishes 10 actors on the Apify Store, used by 9 people in the last 30 days. Average rating 4.4 across 2 rated actors. Oldest actor is 8m old. 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.
Last 7 dayson this catalogue

Follow chirpy_polygon — every change by email each morning

By monthly users#1,612↓ 51of 4,120 publishers · 9 users in 30 days
By catalogue size#1,055↓ 40of 4,120 publishers · 10 actors listed
By users all time#816↓ 36of 4,120 publishers · 217 users since they began
Graded1 of 101 D · 9 not yet judged
Needs a build0 of 107 fresh · 3 aging · stale = no build in 180 days
Carry half the users3 of 7top 3 hold 55.6% · 22.2% 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
LinkedIn5
Google Maps1
Instagram1
YouTube1

2 of 10 target no particular site

New actors per month · 2026-03–2026-09
MarAprMayJunJulAugSep

Actors still listed today, by the date the store created them · busiest 2026-08 (7)

Biggest actors, monthly users
linkedin-company-details-lead-scraper22%
instagram-profile-lead-scraper22%
youtube-transcript-subtitle-scraper11%
website-category-sitemap-scraper11%

share of this publisher’s 9 monthly users

4platforms targeted
1.3 a monthnew actors, last 229 days
Mar 2026first actor still listed
41dsince their newest actor

chirpy_polygon is a LinkedIn specialist: 5 of 10 actors target it. They have created 1.3 a month over the last 229 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
9↓ 4over 30 readings
Runs / daymatched per actor
9↓ 3over 30 readings
Runs / 30drolling window, summed
250↓ 11over 30 readings
Actorsin the census that day
10→ 0over 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
51builds published
8/60days with a build
70%of the catalogue touched in 30 days
Last touched
8–30d7
31–90d3

chirpy_polygon published 51 builds on 8 of the last 60 days. Busiest was 13 Sep (19).

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$7.00 /1k company-resultsteep price22 total——2mfresh
2—EVT$5.00 /1k profile-resulthigh price26 total——2mfresh
3—EVT$6.00 /1k transcript-resulthigh price12 total——41daging
4—EVT$2.00 /1k category-urlgood price11 total——2mfresh
5—EVT$4.00 /1k comment-resultgood price11 total——2mfresh
6—EVT$4.00 /1k post-resultgood price12 total——2mfresh
7—EVT$1.50 /1k contact-resultgood price12 total——41daging
8—RES$3.00 /1k0197 total—4.5 (2)8maging
9DEVT$8.00 /1k email-leadsteep price02 total—4.3 (3)2mfresh
10—EVT$4.00 /1k post-resultgood price02 total——2mfresh
10 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →