Publisher · 76 actors

v0iddo on the Apify Store

v0iddo publishes 76 actors on the Apify Store, used by 56 people in the last 30 days. Oldest actor is 5m old. Pay-per-result prices run from $0.50 to $5.05 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
$0.50cheapest
$1.50median
10×p5–p95 spread
0%stale (180d+)
100%under a year old
Last 7 dayson this catalogue

…and 148 more changes this week. Follow v0iddo — every change by email each morning

By monthly users#695newof 4,120 publishers · 56 users in 30 days
By catalogue size#203newof 4,120 publishers · 76 actors listed
By users all time#951newof 4,120 publishers · 144 users since they began
Graded1 of 761 E · 75 not yet judged
Needs a build0 of 7671 fresh · 5 aging · stale = no build in 180 days
Carry half the users29 of 56top 3 hold 5.4% · 1.8% 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 build76 actors in the catalogue
Platforms targeted
Apple App Store5
Amazon3
CoinGecko3
SEC EDGAR3
Ashby2
Eventbrite2
Federal Register2
GitHub2

+51 more platforms · 17 of 76 target no particular site

New actors per month · 2026-06–2026-10
JunJulAugSepOct

Actors still listed today, by the date the store created them · busiest 2026-06 (52)

Biggest actors, monthly users
mint-html-to-image2%
pubmed-daily-citations-tracker2%
mint-amazon-search-scraper2%
shopify-store-intelligence2%

share of this publisher’s 56 monthly users

59platforms targeted
16 a monthnew actors, last 145 days
Jun 2026first actor still listed
3dsince their newest actor

v0iddo spreads 76 actors across 59 platforms, most of all Apple App Store (5). They have created 16 a month over the last 145 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
56↑ 7over 5 readings
Runs / daymatched per actor
800↑ 746over 4 readings
Runs / 30drolling window, summed
1,638↑ 55over 5 readings
Actorsin the census that day
76↑ 21over 5 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
359builds published
4/60days with a build
93%of the catalogue touched in 30 days
Last touched
today22
2–7d49
91–180d5

v0iddo published 359 builds on 4 of the last 60 days. Busiest was 23 Oct (264).

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$4.25 /1k html-to-image-genesteep price12 total——6dfresh
2—EVT$1.00 /1k citation_extractedfair price12 total——5mfresh
3—RES$1.20 /1kfair price12 total——6dfresh
4—EVT$0.50 /1k product_extractedfair price12 total——5mfresh
5—RES$1.50 /1kfair price12 total——5dfresh
6—EVT$6.88 /1k html-to-pdf-generasteep price12 total——6dfresh
7—RES$1.50 /1kfair price12 total——6dfresh
8—EVT$0.50 /1k app_metadata_snapsfair price12 total——5mfresh
9—EVT$0.20 /1k package_snapshotgood price12 total——5mfresh
10—EVT$3.40 /1k currency-rates-ressteep price12 total——6dfresh
11—EVT$10.00 /1k document_extractedsteep price12 total——5mfresh
12—EVT$1.00 /1k dataset-itemfair price12 total——4mfresh
13—RES$5.05 /1ksteep price12 total——3dfresh
14—EVT$0.50 /1k email_verifiedfair price11 total——5maging
15—EVT$0.10 /1k coin_snapshotgood price12 total——5mfresh
16—RES$2.00 /1ksteep price12 total——6dfresh
17—RES$1.00 /1kgood price12 total——5dfresh
18—EVT$1.00 /1k dataset-itemfair price12 total——4mfresh
19—EVT$1.00 /1k pdf-text-resultfair price12 total——6dfresh
20—EVT$4.25 /1k tech_snapshotsteep price12 total——5mfresh
21—RES$1.50 /1kfair price12 total——6dfresh
22—RES$1.20 /1kfair price12 total——5dfresh
23—EVT$1.00 /1k repo_entryfair price12 total——5mfresh
24—EVT$10.00 /1k filing_extractedsteep price12 total——5mfresh
25—EVT$0.50 /1k app_metadata_snapsfair price12 total——5mfresh
26—EVT$3.00 /1k grant_extractedhigh price12 total——5mfresh
27—EVT$1.00 /1k dataset-itemfair price12 total——4mfresh
28—EVT$0.10 /1k chart_entrygood price12 total——5mfresh
29—EVT$0.30 /1k event_extractedgood price15 total——5mfresh
30—EVT$1.00 /1k url_extractedfair price12 total——5mfresh
31—EVT$2.00 /1k cve_extractedhigh price12 total——5mfresh
32—EVT$2.55 /1k dataset-itemhigh price12 total——4mfresh
33—RES$0.50 /1kgood price12 total——4dfresh
34—RES$1.00 /1kgood price12 total——5dfresh
35—RES$1.00 /1kgood price12 total——6dfresh
36—EVT$1.00 /1k dataset-itemfair price12 total——4mfresh
37—EVT$10.00 /1k holding_extractedsteep price12 total——5mfresh
38—RES$4.25 /1ksteep price12 total——4dfresh
39EEVT$5.00 /1k transaction_extracsteep price11 total24.1%—5mfresh
40—EVT$1.06 /1k post_extractedhigh price12 total——5mfresh
41—RES$1.50 /1kfair price12 total——6dfresh
42—RES$1.50 /1kfair price12 total——5dfresh
43—EVT$0.30 /1k review_extractedgood price12 total——5mfresh
44—EVT$10.00 /1k award_extractedsteep price12 total——5mfresh
45—EVT$5.00 /1k recall_extractedsteep price12 total——5mfresh
46—EVT$0.10 /1k article_recordgood price12 total——5mfresh
47—RES$4.00 /1ksteep price12 total——5dfresh
48—RES$1.00 /1kgood price12 total——6dfresh
49—EVT$1.00 /1k launch_postfair price12 total——5mfresh
50—EVT$1.70 /1k match_returnedhigh price12 total——5mfresh
51—EVT$1.70 /1k qr-code-generatedhigh price12 total——6dfresh
52—RES$1.50 /1kfair price12 total——6dfresh
53—RES$1.50 /1kfair price12 total——5dfresh
54—EVT$0.20 /1k search_resultgood price12 total——5mfresh
55—EVT$1.00 /1k image-convert-genefair price12 total——6dfresh
56—EVT$0.20 /1k paper_extractedgood price12 total——5mfresh
57—EVT$0.10 /1k story_extractedgood price04 total——5maging
58—EVT$2.38 /1k app_recordhigh price02 total——5mfresh
59—EVT$0.20 /1k package_snapshotgood price01 total——5mfresh
60—EVT$1.00 /1k review_extractedfair price02 total——5maging
61—EVT$5.00 /1k domain_enrichedsteep price01 total——5maging
62—EVT$0.50 /1k extension_snapshotfair price02 total——5mfresh
63—EVT$4.89 /1k dataset-itemsteep price01 total——4mfresh
64—EVT$1.70 /1k job_extractedhigh price01 total——5mfresh
65—EVT$0.50 /1k advisory_extractedfair price02 total——5mfresh
66—EVT$0.20 /1k article_extractedgood price02 total——5mfresh
67—EVT$0.10 /1k protocol_snapshotgood price03 total——5mfresh
68—EVT$0.30 /1k review_extractedgood price01 total——5mfresh
69—EVT$1.27 /1k review_extractedhigh price01 total——5mfresh
70—EVT$1.00 /1k paper_extractedfair price01 total——5mfresh
71—EVT$0.20 /1k job_extractedgood price01 total——5mfresh
72—EVT$0.30 /1k review_extractedgood price01 total——5mfresh
73—EVT$5.00 /1k domain_extractedsteep price02 total——5maging
74—EVT$5.00 /1k trial_extractedsteep price01 total——5mfresh
75—EVT$0.20 /1k podcast_resultgood price01 total——5mfresh
76—EVT$0.20 /1k job_extractedgood price01 total——5mfresh
76 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →