Publisher · 82 actors

madeingermany on the Apify Store

madeingermany publishes 82 actors on the Apify Store, used by 87 people in the last 30 days. Average rating 1.0 across 1 rated actor. Oldest actor is 21m old. Pay-per-result prices run from $0.40 to $5,000.00 per 1,000 results, with a median of $1.50. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Price spread, $/1k results
$0.40cheapest
$1.50median
36×p5–p95 spread
0%stale (180d+)
98%under a year old
Last 7 dayson this catalogue

…and 69 more changes this week. Follow madeingermany — every change by email each morning

By monthly users#564↑ 5of 4,120 publishers · 87 users in 30 days
By catalogue size#185↑ 12of 4,120 publishers · 82 actors listed
By users all time#554↓ 4of 4,120 publishers · 581 users since they began
Needs a build0 of 8282 fresh · 0 aging · stale = no build in 180 days
Carry half the users32 of 75top 3 hold 10.3% · 4.6% 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 build82 actors in the catalogue
Platforms targeted
TikTok5
YouTube3
Facebook2
Google Maps2
Yelp2
Google Ads Transparency Center1
Allegro Poland1
Allrecipes1

+65 more platforms · 6 of 82 target no particular site

New actors per quarter · 2025 Q1–2026 Q4
2025Q2Q3Q42026Q2Q3Q4

Actors still listed today, by the date the store created them · busiest 2026 Q4 (54)

Biggest actors, monthly users
douyin-scraper5%
google-maps-street-view-scraper-by-address3%
apify-hiring-cafe-scraper2%
easyjet-scraper2%

share of this publisher’s 87 monthly users

73platforms targeted
6.8 a monthnew actors, last 365 days
Jan 2025first actor still listed
7dsince their newest actor

madeingermany spreads 82 actors across 73 platforms, most of all TikTok (5). They have created 6.8 a month over the last 365 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
87↑ 59over 22 readings
Runs / daymatched per actor
106↑ 74over 21 readings
Runs / 30drolling window, summed
1,375↑ 950over 22 readings
Actorsin the census that day
82↑ 54over 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
85builds published
7/60days with a build
100%of the catalogue touched in 30 days
Last touched
today5
2–7d13
8–30d64

madeingermany published 85 builds on 7 of the last 60 days. Busiest was 16 Oct (45).

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—RES$3.00 /1ksteep price45 total——26dfresh
2—RES$20.00 /1ksteep price3106 total——7mfresh
3—RES$1.25 /1kfair price23 total——26dfresh
4—RES$1.90 /1khigh price23 total——19dfresh
5—RES$1.50 /1kfair price23 total——26dfresh
6—RES$1.50 /1kfair price23 total——26dfresh
7—RES$1.00 /1kgood price23 total——19dfresh
8—RES$5.00 /1ksteep price23 total——19dfresh
9—RES$0.90 /1kgood price23 total——19dfresh
10—RES$1.50 /1kfair price12 total——26dfresh
11—EVT$20.00 /1k video-downloadsteep price12 total——19dfresh
12—EVT$2.00 /1k item_scrapedhigh price12 total——7dfresh
13—RES$1.00 /1kgood price12 total——26dfresh
14—FREEfree12 total——19dfresh
15—EVT$1.00 /1k dataset-itemfair price12 total——19dfresh
16—RES$0.90 /1kgood price12 total——19dfresh
17—RES$1.50 /1kfair price11 total——26dfresh
18—RES$2.90 /1ksteep price12 total——26dfresh
19—RES$0.90 /1kgood price12 total——26dfresh
20—RES$1.00 /1kgood price12 total——19dfresh
21—RES$4.75 /1ksteep price12 total——26dfresh
22—RES$0.60 /1kgood price12 total——19dfresh
23—EVT$0.30 /1k dataset-itemgood price12 total——19dfresh
24—EVT$2.00 /1k media_extractedhigh price12 total——7dfresh
25—RES$2.00 /1khigh price12 total——26dfresh
26—RES$2.00 /1khigh price12 total——19dfresh
27—RES$1.80 /1khigh price12 total——19dfresh
28—RES$0.90 /1kgood price12 total——19dfresh
29—EVT$1.00 /1k dataset-itemfair price12 total——19dfresh
30—EVT$2.00 /1k item_scrapedhigh price12 total——7dfresh
31—EVT$0.30 /1k dataset-itemgood price12 total——19dfresh
32—EVT$1.00 /1k product_itemfair price12 total——9dfresh
33—RES$1.60 /1khigh price12 total——19dfresh
34—RES$1.60 /1khigh price12 total——19dfresh
35—RES$1.80 /1khigh price12 total——19dfresh
36—RES$2.00 /1khigh price12 total——26dfresh
37—EVT$1.50 /1k yc_companyhigh price12 total——9dfresh
38—EVT$1.30 /1k dataset-itemfair price11 total——19dfresh
39—EVT$0.15 /1k yt-download-360pgood price12 total——19dfresh
40—EVT$0.30 /1k dataset-itemgood price12 total——19dfresh
41—EVT$0.50 /1k dataset-itemgood price12 total——19dfresh
42—RES$0.80 /1kgood price12 total——26dfresh
43—RES$2.50 /1ksteep price12 total——19dfresh
44—EVT$10.00 /1k list-querysteep price12 total——19dfresh
45—RES$4.00 /1ksteep price12 total——19dfresh
46—EVT$2.00 /1k item_scrapedhigh price12 total——7dfresh
47—RES$2.30 /1khigh price12 total——19dfresh
48—EVT$2.00 /1k media_extractedhigh price12 total——7dfresh
49—RES$1.20 /1kfair price12 total——19dfresh
50—EVT$0.30 /1k dataset-itemgood price12 total——19dfresh
51—FREEfree12 total——19dfresh
52—RES$5,000 /1ksteep price1152 total——7mfresh
53—RES$0.50 /1kgood price12 total——19dfresh
54—EVT$1.00 /1k dataset-itemfair price12 total——19dfresh
55—FREEfree12 total——19dfresh
56—EVT$0.40 /1k dataset-itemgood price12 total——19dfresh
57—RES$10.00 /1ksteep price12 total——19dfresh
58—RES$1.20 /1kfair price12 total——19dfresh
59—RES$0.80 /1kgood price12 total——19dfresh
60—RES$2.00 /1khigh price124 total——7mfresh
61—RES$1.50 /1kfair price12 total——26dfresh
62—RES$1.50 /1kfair price12 total——26dfresh
63—RES$0.55 /1kgood price12 total——26dfresh
64—EVT$2.00 /1k item_scrapedhigh price12 total——7dfresh
65—EVT$2.00 /1k item_scrapedhigh price12 total——7dfresh
66—EVT$0.50 /1k dataset-itemgood price12 total——19dfresh
67—EVT$1.00 /1k game_itemfair price12 total——9dfresh
68—EVT$2.00 /1k media_extractedhigh price12 total——7dfresh
69—RES$1.10 /1kfair price12 total——19dfresh
70—RES$1.75 /1khigh price11 total——26dfresh
71—EVT$3.00 /1k video-downloadsteep price12 total——19dfresh
72—RES$0.70 /1kgood price12 total——19dfresh
73—RES$0.40 /1kgood price12 total——19dfresh
74—EVT$2.00 /1k profile_scrapedhigh price12 total——7dfresh
75—RES$1.00 /1kgood price12 total——26dfresh
76—RES$3.00 /1ksteep price01 total——26dfresh
77—RES$1.00 /1kgood price01 total——26dfresh
78—RES$2.00 /1khigh price015 total——7mfresh
79—RES$1.00 /1kgood price09 total——7mfresh
80—RES$2.00 /1khigh price062 total—1.0 (1)21mfresh
81—RES$10.00 /1ksteep price058 total——7mfresh
82—RES$500 /1ksteep price02 total——7mfresh
82 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →