Publisher · 15 actors

signal_lab on the Apify Store

signal_lab publishes 15 actors on the Apify Store, used by 15 people in the last 30 days. Oldest actor is 3m old. Pay-per-result prices run from $0.50 to $3.00 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
$0.50cheapest
$1.00median
6×p5–p95 spread
0%stale (180d+)
100%under a year old
Last 7 dayson this catalogue

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By monthly users#1,294↓ 53of 4,120 publishers · 15 users in 30 days
By catalogue size#792↓ 38of 4,120 publishers · 15 actors listed
By users all time#1,636↓ 52of 4,120 publishers · 30 users since they began
Needs a build0 of 150 fresh · 15 aging · stale = no build in 180 days
Carry half the users7 of 14top 3 hold 26.7% · 13.3% 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 build15 actors in the catalogue
Platforms targeted
Amazon2
Reddit2
1
Google1
Instagram1
TikTok1
YouTube1

6 of 15 target no particular site

Biggest actors, monthly users
tiktok-video-metadata13%
job-vacancy-scraper7%
hiring-signal-intelligence7%
review-pain-intelligence7%

share of this publisher’s 15 monthly users

7platforms targeted
5.9 a monthnew actors, last 78 days
Aug 2026first actor still listed
74dsince their newest actor

signal_lab spreads 15 actors across 7 platforms, most of all Amazon (2). They have created 5.9 a month over the last 78 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
15↑ 1over 30 readings
Runs / daymatched per actor
15↓ 5over 30 readings
Runs / 30drolling window, summed
438↓ 98over 30 readings
Actorsin the census that day
15→ 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
207builds published
7/60days with a build
0%of the catalogue touched in 30 days
Last touched
31–90d15

signal_lab published 207 builds on 7 of the last 60 days. Busiest was 26 Aug (82).

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$1.00 /1k video-resultgood price22 total——2maging
2—RES$1.00 /1kgood price12 total——2maging
3—EVT$5.00 /1k company-signalhigh price12 total——3maging
4—EVT$5.00 /1k pain-clusterhigh price12 total——3maging
5—RES$3.00 /1khigh price12 total——2maging
6—RES$1.00 /1kgood price12 total——2maging
7—RES$3.00 /1khigh price12 total——2maging
8—EVT$3.00 /1k deal-alerthigh price12 total——3maging
9—EVT$1.00 /1k reddit-itemgood price12 total——2maging
10—RES$1.00 /1kgood price13 total——2maging
11—RES$3.00 /1khigh price12 total——2maging
12—EVT$1.00 /1k page-resultgood price12 total——2maging
13—EVT$0.50 /1k keyword-resultgood price12 total——2maging
14—RES$0.70 /1kgood price12 total——2maging
15—RES$0.50 /1kgood price01 total——2maging
15 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →