data_minds publishes 16 actors on the Apify Store, used by 23 people in the last 30 days. Oldest actor is 3m old. Prices, reliability and maintenance below come from our daily census of the public store catalog.
…and 31 more changes this week. Follow data_minds — every change by email each morning
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.
+10 more platforms · 1 of 16 target no particular site
Actors still listed today, by the date the store created them · busiest 2026-10 (6)
share of this publisher’s 23 monthly users
data_minds spreads 16 actors across 18 platforms, most of all Google Maps (2). They have created 5.3 a month over the last 92 days.
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.
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.
data_minds published 74 builds on 4 of the last 60 days. Busiest was 13 Oct (44).
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.
| # | Actor | Grade | Price / 1k | Users /30d | Success | Rating | Age | Fresh |
|---|---|---|---|---|---|---|---|---|
| 1 | — | EVT$7.00 /1k lead_resultsteep price | 422 total | — | — | 3m | fresh | |
| 2 | — | EVT$5.00 /1k contact_resultfair price | 37 total | — | — | 3m | fresh | |
| 3 | — | EVT$30.00 /1k row_resultsteep price | 325 total | — | — | 3m | fresh | |
| 4 | — | EVT$3.00 /1k main_resultgood price | 22 total | — | — | 7d | fresh | |
| 5 | — | EVT$5.00 /1k job_resultfair price | 11 total | — | — | 3m | fresh | |
| 6 | — | EVT$4.00 /1k main_resultgood price | 12 total | — | — | 7d | fresh | |
| 7 | — | EVT$5.00 /1k row_resultfair price | 12 total | — | — | 3m | fresh | |
| 8 | — | EVT$5.00 /1k main_resultfair price | 12 total | — | — | 7d | fresh | |
| 9 | C | EVT$5.00 /1k data_resultfair price | 12 total | 100.0% | — | 3m | fresh | |
| 10 | — | EVT$5.00 /1k row_resultfair price | 11 total | — | — | 3m | fresh | |
| 11 | C | EVT$2.00 /1k main_resultgood price | 12 total | 100.0% | — | 11d | fresh | |
| 12 | — | EVT$4.00 /1k main_resultgood price | 12 total | — | — | 11d | fresh | |
| 13 | — | EVT$2.00 /1k title_resultgood price | 12 total | — | — | 49d | fresh | |
| 14 | — | EVT$2.00 /1k main_resultgood price | 12 total | — | — | 7d | fresh | |
| 15 | — | EVT$5.00 /1k row_resultfair price | 15 total | — | — | 3m | fresh | |
| 16 | — | EVT$7.00 /1k data_resultsteep price | 02 total | — | — | 3m | fresh |