Publisher · 6 actors

anderson-data-tools on the Apify Store

anderson-data-tools publishes 6 actors on the Apify Store, used by 6 people in the last 30 days. Oldest actor is 16d 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

No changes seen in the last 7 days. Follow anderson-data-tools and hear the morning something moves

By monthly users#1,926↓ 40of 4,160 publishers · 6 users in 30 days
By catalogue size#1,492↓ 39of 4,160 publishers · 6 actors listed
By users all time#2,285↓ 61of 4,160 publishers · 12 users since they began
Needs a build0 of 66 fresh · 0 aging · stale = no build in 180 days
Carry half the users3 of 6top 3 hold 50% · 16.7% on the largest

Places are over the 4,160 publishers listed today; the week’s move is measured against the 3,703 also listed on 19 Oct, so nobody falls because the store grew around them.

What they build6 actors in the catalogue
Platforms targeted
FDIC BankFind API1
Louisiana State Licensing Board for Contractors1
Mississippi State Board of Contractors1

3 of 6 target no particular site

Biggest actors, monthly users
glacier-lean-317%
glacier-lean17%
glacier-lean-417%
glacier-lean-217%

share of this publisher’s 6 monthly users

3platforms targeted
6.1 a monthnew actors, last 30 days
Oct 2026first actor still listed
15dsince their newest actor

anderson-data-tools spreads 6 actors across 3 platforms, most of all FDIC BankFind API (1). They have created 6.1 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
6↑ 1over 12 readings
Runs / daymatched per actor
6↑ 1over 11 readings
Runs / 30drolling window, summed
80↑ 75over 12 readings
Actorsin the census that day
6↑ 1over 12 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
5builds published
1/60days with a build
100%of the catalogue touched in 30 days
Last touched
8–30d6

anderson-data-tools published 5 builds on 1 of the last 60 days. Busiest was 15 Oct (5).

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$2.00 /1k bank-recordgood price12 total——15dfresh
2—EVT$10.00 /1k recall-checkfair price12 total——15dfresh
3—EVT$3.00 /1k provider-recordfair price12 total——15dfresh
4—EVT$2.00 /1k state-comparisongood price12 total——15dfresh
5—EVT$20.00 /1k license-lookuphigh price12 total——16dfresh
6—EVT$20.00 /1k license-lookuphigh price12 total——15dfresh
6 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →