Publisher · 10 actors

mambo_melon on the Apify Store

mambo_melon publishes 10 actors on the Apify Store, used by 14 people in the last 30 days. Oldest actor is 25d 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#1,348↑ 124of 4,120 publishers · 14 users in 30 days
By catalogue size#1,055↓ 40of 4,120 publishers · 10 actors listed
By users all time#1,789↑ 90of 4,120 publishers · 23 users since they began
Needs a build0 of 1010 fresh · 0 aging · stale = no build in 180 days
Carry half the users2 of 9top 3 hold 57.1% · 42.9% 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 build10 actors in the catalogue
Platforms targeted
Google Maps2
Google Hotels2
Booking.com1
Bluesky1
Expedia1
Hotels.com1
Kalshi1
KAYAK1

+3 more platforms · 3 of 10 target no particular site

Biggest actors, monthly users
journalist-requests43%
local-leads-website-audit7%
tech-stack-detector7%
bulk-domain-checker7%

share of this publisher’s 14 monthly users

11platforms targeted
10 a monthnew actors, last 30 days
Sep 2026first actor still listed
22dsince their newest actor

mambo_melon spreads 10 actors across 11 platforms, most of all Google Maps (2). They have created 10 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
14↑ 9over 25 readings
Runs / daymatched per actor
26↑ 14over 24 readings
Runs / 30drolling window, summed
220↑ 218over 25 readings
Actorsin the census that day
10↑ 5over 25 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
11builds published
2/60days with a build
100%of the catalogue touched in 30 days
Last touched
8–30d10

mambo_melon published 11 builds on 2 of the last 60 days. Busiest was 30 Sep (10).

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 request-deliveredhigh price67 total——25dfresh
2—EVT$25.00 /1k leadsteep price12 total——25dfresh
3—EVT$8.00 /1k domain-analyzedhigh price12 total——25dfresh
4—EVT$4.00 /1k domain-checkedfair price12 total——25dfresh
5—EVT$4.00 /1k hotelfair price12 total——25dfresh
6—EVT$3.00 /1k listingfair price12 total——25dfresh
7—EVT$2.00 /1k placegood price11 total——22dfresh
8—EVT$2.00 /1k market-recordgood price12 total——25dfresh
9—EVT$15.00 /1k website-auditedsteep price12 total——25dfresh
10—EVT$1.50 /1k price-offergood price01 total——25dfresh
10 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →