Publisher · 55 actors

grit-77 on the Apify Store

grit-77 publishes 55 actors on the Apify Store, used by 56 people in the last 30 days. Oldest actor is 19d old. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Last 7 dayson this catalogue

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By monthly users#695↑ 21of 4,120 publishers · 56 users in 30 days
By catalogue size#260↑ 23of 4,120 publishers · 55 actors listed
By users all time#1,039↑ 22of 4,120 publishers · 109 users since they began
Needs a build0 of 5555 fresh · 0 aging · stale = no build in 180 days
Carry half the users27 of 54top 3 hold 8.9% · 3.6% 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 build55 actors in the catalogue
Platforms targeted
Apple App Store2
GitHub2
APIs.guru1
arXiv1
Ashby1
Apple Books1
Bluesky1
ClinicalTrials.gov1

+39 more platforms · 20 of 55 target no particular site

Biggest actors, monthly users
osm-places4%
website-screenshot-pdf-markdown4%
gbif-herbarium-specimens2%
nvd-cves2%

share of this publisher’s 56 monthly users

47platforms targeted
56 a monthnew actors, last 30 days
Oct 2026first actor still listed
18dsince their newest actor

grit-77 spreads 55 actors across 47 platforms, most of all Apple App Store (2). They have created 56 a month over the last 30 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
56↑ 51over 19 readings
Runs / daymatched per actor
55↑ 11over 18 readings
Runs / 30drolling window, summed
720↑ 720over 19 readings
Actorsin the census that day
55↑ 50over 19 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
8builds published
1/60days with a build
100%of the catalogue touched in 30 days
Last touched
2–7d10
8–30d45

grit-77 published 8 builds on 1 of the last 60 days. Busiest was 6 Oct (8).

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$0.30 /1k placefair price23 total——19dfresh
2—EVT$1.00 /1k markdownhigh price22 total——19dfresh
3—EVT$0.20 /1k specimengood price12 total——18dfresh
4—EVT$1.50 /1k cvehigh price12 total——19dfresh
5—EVT$1.50 /1k compoundhigh price12 total——18dfresh
6—EVT$0.50 /1k postfair price12 total——19dfresh
7—EVT$1.50 /1k awardhigh price12 total——19dfresh
8—EVT$8.00 /1k history-pointsteep price12 total——19dfresh
9—EVT$0.50 /1k emailfair price12 total——19dfresh
10—EVT$1.00 /1k bookhigh price12 total——19dfresh
11—EVT$2.00 /1k pagesteep price11 total——19dfresh
12—EVT$2.00 /1k productsteep price12 total——18dfresh
13—EVT$0.20 /1k title_candidategood price12 total——18dfresh
14—EVT$0.80 /1k earthquakehigh price12 total——18dfresh
15—EVT$0.25 /1k itemfair price12 total——19dfresh
16—EVT$0.05 /1k itemgood price12 total——19dfresh
17—EVT$0.60 /1k facthigh price12 total——19dfresh
18—EVT$0.10 /1k kp_observationgood price12 total——18dfresh
19—EVT$0.20 /1k api_lookupgood price12 total——18dfresh
20—EVT$1.00 /1k datapointhigh price12 total——19dfresh
21—EVT$0.50 /1k workfair price12 total——19dfresh
22—EVT$1.00 /1k itemhigh price12 total——19dfresh
23—EVT$2.00 /1k noticesteep price12 total——19dfresh
24—EVT$2.00 /1k noticesteep price12 total——19dfresh
25—EVT$0.10 /1k episodegood price12 total——19dfresh
26—EVT$0.20 /1k currency_rulegood price12 total——18dfresh
27—EVT$1.20 /1k jobhigh price12 total——19dfresh
28—EVT$0.05 /1k compatibility_lookgood price12 total——18dfresh
29—EVT$0.40 /1k packagefair price12 total——19dfresh
30—EVT$2.00 /1k domainsteep price12 total——19dfresh
31—EVT$2.00 /1k studysteep price12 total——19dfresh
32—EVT$0.10 /1k confusable_lookupgood price12 total——18dfresh
33—EVT$0.10 /1k postal_areagood price12 total——18dfresh
34—EVT$0.30 /1k contributorfair price12 total——19dfresh
35—EVT$1.00 /1k holidayhigh price12 total——18dfresh
36—EVT$0.20 /1k videogood price12 total——19dfresh
37—EVT$1.50 /1k entityhigh price12 total——19dfresh
38—EVT$1.50 /1k paperhigh price12 total——19dfresh
39—EVT$0.08 /1k urlgood price12 total——19dfresh
40—EVT$0.20 /1k support_lookupgood price12 total——18dfresh
41—EVT$0.30 /1k forecast_periodfair price12 total——18dfresh
42—EVT$0.50 /1k datapointfair price12 total——18dfresh
43—EVT$1.00 /1k documenthigh price12 total——19dfresh
44—EVT$0.40 /1k postfair price12 total——19dfresh
45—EVT$0.20 /1k itemgood price12 total——19dfresh
46—EVT$1.00 /1k recordhigh price12 total——19dfresh
47—EVT$0.50 /1k recallfair price12 total——18dfresh
48—EVT$1.00 /1k answerhigh price12 total——19dfresh
49—EVT$50.00 /1k ratesteep price12 total——19dfresh
50—EVT$2.00 /1k appsteep price12 total——19dfresh
51—EVT$0.50 /1k authorfair price12 total——19dfresh
52—EVT$0.40 /1k packagefair price12 total——19dfresh
53—EVT$2.00 /1k articlesteep price12 total——19dfresh
54—EVT$0.01 /1k opportunitygood price12 total——19dfresh
55—EVT$0.25 /1k rowfair price01 total——19dfresh
55 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →