Publisher · 23 actors

buy-it on the Apify Store

buy-it publishes 23 actors on the Apify Store, used by 28 people in the last 30 days. Oldest actor is 35d old. Pay-per-result prices run from $0.30 to $3.00 per 1,000 results, with a median of $0.80. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Price spread, $/1k results
$0.30cheapest
$0.80median
7×p5–p95 spread
0%stale (180d+)
100%under a year old
Last 7 dayson this catalogue

…and 6 more changes this week. Follow buy-it — every change by email each morning

By monthly users#996newof 4,138 publishers · 28 users in 30 days
By catalogue size#577newof 4,138 publishers · 23 actors listed
By users all time#1,329newof 4,138 publishers · 58 users since they began
Graded3 of 233 C · 20 not yet judged
Needs a build0 of 2322 fresh · 1 aging · stale = no build in 180 days
Carry half the users9 of 22top 3 hold 21.4% · 7.1% on the largest

Places are over the 4,138 publishers listed today; the week’s move is measured against the 3,652 also listed on 18 Oct, so nobody falls because the store grew around them.

What they build23 actors in the catalogue
Platforms targeted
YouTube8
TikTok2
Airbnb1
Booking.com1
Cenowarka.pl1
Geizhals Austria1
Geizhals Germany1
Geizhals1

+10 more platforms · 2 of 23 target no particular site

Biggest actors, monthly users
skroutz-scraper7%
tiktok-video-scraper7%
linkedin-jobs-scraper7%
barcode-product-info-scraper7%

share of this publisher’s 28 monthly users

18platforms targeted
19 a monthnew actors, last 36 days
Sep 2026first actor still listed
1dsince their newest actor

buy-it spreads 23 actors across 18 platforms, most of all YouTube (8). They have created 19 a month over the last 36 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.

Build activitylast 60 days
0builds published
0/60days with a build
96%of the catalogue touched in 30 days
Last touched
today2
2–7d5
8–30d15
31–90d1

No build from buy-it in the last 60 days.

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
1CRES$1.00 /1khigh price24 total100.0%—29dfresh
2—RES$1.00 /1khigh price22 total——29dfresh
3—RES$0.30 /1kgood price23 total——35dfresh
4—RES$2.00 /1ksteep price23 total——26dfresh
5CRES$2.00 /1ksteep price28 total90.1%—35dfresh
6—RES$0.50 /1kfair price24 total——29dfresh
7—RES$0.40 /1kgood price12 total——35dfresh
8—RES$1.50 /1khigh price12 total——34dfresh
9—RES$0.40 /1kgood price12 total——35dfresh
10CRES$2.00 /1ksteep price14 total99.3%—35dfresh
11—RES$0.30 /1kgood price12 total——34dfresh
12—RES$0.80 /1kfair price12 total——34dfresh
13—RES$3.00 /1ksteep price11 total——35dfresh
14—RES$1.50 /1khigh price12 total——35dfresh
15—RES$0.40 /1kgood price12 total——34dfresh
16—RES$0.50 /1kfair price12 total——1dfresh
17—RES$1.00 /1khigh price12 total——29dfresh
18—RES$0.50 /1kfair price12 total——35dfresh
19—RES$0.40 /1kgood price12 total——35dfresh
20—RES$0.30 /1kgood price12 total——35dfresh
21—RES$1.00 /1khigh price12 total——29dfresh
22—RES$0.40 /1kgood price12 total——35dfresh
23—RES$1.00 /1khigh price01 total——35daging
23 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →