fastdataapi on the Apify Storefastdataapi publishes 14 actors on the Apify Store, used by 16 people in the last 30 days. Oldest actor is 12d old. Prices, reliability and maintenance below come from our daily census of the public store catalog.
…and 77 more changes this week. Follow fastdataapi — 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.
2 of 14 target no particular site
share of this publisher’s 16 monthly users
fastdataapi spreads 14 actors across 8 platforms, most of all Amazon (3). They have created 14 a month over the last 30 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.
fastdataapi published 21 builds on 1 of the last 60 days. Busiest was 20 Oct (21).
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$2.99 /1k row_resultgood price | 23 total | — | — | 12d | fresh | |
| 2 | — | EVT$3.99 /1k row_resulthigh price | 23 total | — | — | 11d | fresh | |
| 3 | — | EVT$2.99 /1k row_resultgood price | 22 total | — | — | 11d | fresh | |
| 4 | — | EVT$3.99 /1k row_resulthigh price | 12 total | — | — | 11d | fresh | |
| 5 | — | EVT$5.99 /1k row_resultsteep price | 12 total | — | — | 6d | fresh | |
| 6 | — | EVT$2.99 /1k row_resultgood price | 12 total | — | — | 11d | fresh | |
| 7 | — | EVT$3.99 /1k row_resulthigh price | 12 total | — | — | 6d | fresh | |
| 8 | — | EVT$3.99 /1k row_resulthigh price | 12 total | — | — | 12d | fresh | |
| 9 | — | EVT$2.99 /1k row_resultgood price | 12 total | — | — | 11d | fresh | |
| 10 | — | EVT$2.99 /1k row_resultgood price | 12 total | — | — | 12d | fresh | |
| 11 | — | EVT$2.99 /1k row_resultgood price | 12 total | — | — | 6d | fresh | |
| 12 | — | EVT$3.99 /1k row_resulthigh price | 12 total | — | — | 6d | fresh | |
| 13 | — | EVT$2.99 /1k row_resultgood price | 12 total | — | — | 11d | fresh | |
| 14 | — | EVT$2.99 /1k row_resultgood price | 01 total | — | — | 12d | fresh |
