Publisher · 7 actors

datara on the Apify Store

datara publishes 7 actors on the Apify Store, used by 11 people in the last 30 days. Oldest actor is 8m old. Pay-per-result prices run from $3.00 to $50.00 per 1,000 results, with a median of $5.00. 3 haven't been updated in six months. 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
$3.00cheapest
$5.00median
17×p5–p95 spread
42%stale (180d+)
100%under a year old
Last 7 dayson this catalogue

…and 5 more changes this week. Follow datara — every change by email each morning

By monthly users#1,483newof 4,120 publishers · 11 users in 30 days
By catalogue size#1,349newof 4,120 publishers · 7 actors listed
By users all time#1,152newof 4,120 publishers · 82 users since they began
Graded1 of 71 C · 6 not yet judged
Needs a build3 of 74 fresh · 0 aging · stale = no build in 180 days
Carry half the users2 of 6top 3 hold 72.7% · 36.4% 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 build7 actors in the catalogue
Platforms targeted
Reddit3
Barchart1
Rightmove1
TikTok Shop1
YouTube1
New actors per month · 2026-03–2026-10
MarAprMayJunJulAugSepOct

Actors still listed today, by the date the store created them · busiest 2026-04 (3)

Biggest actors, monthly users
reddit-search-scraper36%
tiktok-shop-scraper18%
unusual-options-activity18%
reddit-subreddit-scraper9%

share of this publisher’s 11 monthly users

5platforms targeted
one every 33 daysnew actors, last 230 days
Mar 2026first actor still listed
5dsince their newest actor

datara spreads 7 actors across 5 platforms, most of all Reddit (3). They add one every 33 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
11↑ 1over 5 readings
Runs / daymatched per actor
17↑ 12over 4 readings
Runs / 30drolling window, summed
276↓ 15over 5 readings
Actorsin the census that day
7→ 0over 5 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
0builds published
0/60days with a build
57%of the catalogue touched in 30 days
Last touched
2–7d3
8–30d1
181–365d3

No build from datara in the last 60 days.

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$5.00 /1k422 total100.0%—7mstale
2—EVT$2.00 /1k product23 total——5dfresh
3—EVT$1,500 /1k run-complete238 total——8mfresh
4—RES$5.00 /1k14 total——7mstale
5—EVT$6.00 /1k transcript12 total——5dfresh
6—RES$50.00 /1k12 total——8mfresh
7—RES$3.00 /1k011 total——7mstale
7 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →