Publisher · 18 actors

ambolt on the Apify Store

ambolt publishes 18 actors on the Apify Store, used by 18 people in the last 30 days. Oldest actor is 22d 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#1,198↓ 54of 4,120 publishers · 18 users in 30 days
By catalogue size#678↓ 34of 4,120 publishers · 18 actors listed
By users all time#1,535↓ 57of 4,120 publishers · 36 users since they began
Needs a build0 of 1818 fresh · 0 aging · stale = no build in 180 days
Carry half the users9 of 18top 3 hold 16.7% · 5.6% 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 build18 actors in the catalogue
Platforms targeted
SAM.gov2
Ashby1
New York Department of State1
Find a Tender (UK)1
Greenhouse1
Lever1
Connecticut Secretary of State1
Receita Federal (Brazil)1

+3 more platforms · 12 of 18 target no particular site

Biggest actors, monthly users
ted-notices-search6%
doc-to-json6%
sitemap-robots-doctor6%
sam-gov-opportunities6%

share of this publisher’s 18 monthly users

11platforms targeted
18 a monthnew actors, last 30 days
Oct 2026first actor still listed
18dsince their newest actor

ambolt spreads 18 actors across 11 platforms, most of all SAM.gov (2). They have created 18 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
18↑ 15over 22 readings
Runs / daymatched per actor
18↑ 18over 21 readings
Runs / 30drolling window, summed
314↑ 311over 22 readings
Actorsin the census that day
18↑ 13over 22 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
44builds published
5/60days with a build
100%of the catalogue touched in 30 days
Last touched
8–30d18

ambolt published 44 builds on 5 of the last 60 days. Busiest was 7 Oct (18).

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$10.00 /1k searchhigh price12 total——22dfresh
2—EVT$60.00 /1k ocr-pagesteep price12 total——21dfresh
3—EVT$10.00 /1k audithigh price12 total——20dfresh
4—EVT$2.00 /1k noticegood price12 total——18dfresh
5—EVT$10.00 /1k price-lookuphigh price12 total——22dfresh
6—EVT$5.00 /1k lookupgood price12 total——22dfresh
7—EVT$5.00 /1k domaingood price12 total——21dfresh
8—EVT$5.00 /1k pagegood price12 total——21dfresh
9—EVT$10.00 /1k lookuphigh price12 total——21dfresh
10—EVT$5.00 /1k checkgood price12 total——19dfresh
11—EVT$5.00 /1k noticegood price12 total——21dfresh
12—EVT$5.00 /1k lookupgood price12 total——22dfresh
13—EVT$10.00 /1k company-yearhigh price12 total——18dfresh
14—EVT$5.00 /1k lookupgood price12 total——19dfresh
15—EVT$2.00 /1k entitygood price12 total——18dfresh
16—EVT$5.00 /1k checkgood price12 total——22dfresh
17—EVT$30.00 /1k roundsteep price12 total——18dfresh
18—EVT$2.00 /1k jobgood price12 total——21dfresh
18 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →