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.
…and 148 more changes this week. Follow v0iddo — every change by email each morning
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.
+51 more platforms · 17 of 76 target no particular site
Actors still listed today, by the date the store created them · busiest 2026-06 (52)
share of this publisher’s 56 monthly users
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.
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.
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.
v0iddo published 359 builds on 4 of the last 60 days. Busiest was 23 Oct (264).
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.
| # | Actor | Grade | Price / 1k | Users /30d | Success | Rating | Age | Fresh |
|---|---|---|---|---|---|---|---|---|
| 1 | — | EVT$4.25 /1k html-to-image-genesteep price | 12 total | — | — | 6d | fresh | |
| 2 | — | EVT$1.00 /1k citation_extractedfair price | 12 total | — | — | 5m | fresh | |
| 3 | — | RES$1.20 /1kfair price | 12 total | — | — | 6d | fresh | |
| 4 | — | EVT$0.50 /1k product_extractedfair price | 12 total | — | — | 5m | fresh | |
| 5 | — | RES$1.50 /1kfair price | 12 total | — | — | 5d | fresh | |
| 6 | — | EVT$6.88 /1k html-to-pdf-generasteep price | 12 total | — | — | 6d | fresh | |
| 7 | — | RES$1.50 /1kfair price | 12 total | — | — | 6d | fresh | |
| 8 | — | EVT$0.50 /1k app_metadata_snapsfair price | 12 total | — | — | 5m | fresh | |
| 9 | — | EVT$0.20 /1k package_snapshotgood price | 12 total | — | — | 5m | fresh | |
| 10 | — | EVT$3.40 /1k currency-rates-ressteep price | 12 total | — | — | 6d | fresh | |
| 11 | — | EVT$10.00 /1k document_extractedsteep price | 12 total | — | — | 5m | fresh | |
| 12 | — | EVT$1.00 /1k dataset-itemfair price | 12 total | — | — | 4m | fresh | |
| 13 | — | RES$5.05 /1ksteep price | 12 total | — | — | 3d | fresh | |
| 14 | — | EVT$0.50 /1k email_verifiedfair price | 11 total | — | — | 5m | aging | |
| 15 | — | EVT$0.10 /1k coin_snapshotgood price | 12 total | — | — | 5m | fresh | |
| 16 | — | RES$2.00 /1ksteep price | 12 total | — | — | 6d | fresh | |
| 17 | — | RES$1.00 /1kgood price | 12 total | — | — | 5d | fresh | |
| 18 | — | EVT$1.00 /1k dataset-itemfair price | 12 total | — | — | 4m | fresh | |
| 19 | — | EVT$1.00 /1k pdf-text-resultfair price | 12 total | — | — | 6d | fresh | |
| 20 | — | EVT$4.25 /1k tech_snapshotsteep price | 12 total | — | — | 5m | fresh | |
| 21 | — | RES$1.50 /1kfair price | 12 total | — | — | 6d | fresh | |
| 22 | — | RES$1.20 /1kfair price | 12 total | — | — | 5d | fresh | |
| 23 | — | EVT$1.00 /1k repo_entryfair price | 12 total | — | — | 5m | fresh | |
| 24 | — | EVT$10.00 /1k filing_extractedsteep price | 12 total | — | — | 5m | fresh | |
| 25 | — | EVT$0.50 /1k app_metadata_snapsfair price | 12 total | — | — | 5m | fresh | |
| 26 | — | EVT$3.00 /1k grant_extractedhigh price | 12 total | — | — | 5m | fresh | |
| 27 | — | EVT$1.00 /1k dataset-itemfair price | 12 total | — | — | 4m | fresh | |
| 28 | — | EVT$0.10 /1k chart_entrygood price | 12 total | — | — | 5m | fresh | |
| 29 | — | EVT$0.30 /1k event_extractedgood price | 15 total | — | — | 5m | fresh | |
| 30 | — | EVT$1.00 /1k url_extractedfair price | 12 total | — | — | 5m | fresh | |
| 31 | — | EVT$2.00 /1k cve_extractedhigh price | 12 total | — | — | 5m | fresh | |
| 32 | — | EVT$2.55 /1k dataset-itemhigh price | 12 total | — | — | 4m | fresh | |
| 33 | — | RES$0.50 /1kgood price | 12 total | — | — | 4d | fresh | |
| 34 | — | RES$1.00 /1kgood price | 12 total | — | — | 5d | fresh | |
| 35 | — | RES$1.00 /1kgood price | 12 total | — | — | 6d | fresh | |
| 36 | — | EVT$1.00 /1k dataset-itemfair price | 12 total | — | — | 4m | fresh | |
| 37 | — | EVT$10.00 /1k holding_extractedsteep price | 12 total | — | — | 5m | fresh | |
| 38 | — | RES$4.25 /1ksteep price | 12 total | — | — | 4d | fresh | |
| 39 | E | EVT$5.00 /1k transaction_extracsteep price | 11 total | 24.1% | — | 5m | fresh | |
| 40 | — | EVT$1.06 /1k post_extractedhigh price | 12 total | — | — | 5m | fresh | |
| 41 | — | RES$1.50 /1kfair price | 12 total | — | — | 6d | fresh | |
| 42 | — | RES$1.50 /1kfair price | 12 total | — | — | 5d | fresh | |
| 43 | — | EVT$0.30 /1k review_extractedgood price | 12 total | — | — | 5m | fresh | |
| 44 | — | EVT$10.00 /1k award_extractedsteep price | 12 total | — | — | 5m | fresh | |
| 45 | — | EVT$5.00 /1k recall_extractedsteep price | 12 total | — | — | 5m | fresh | |
| 46 | — | EVT$0.10 /1k article_recordgood price | 12 total | — | — | 5m | fresh | |
| 47 | — | RES$4.00 /1ksteep price | 12 total | — | — | 5d | fresh | |
| 48 | — | RES$1.00 /1kgood price | 12 total | — | — | 6d | fresh | |
| 49 | — | EVT$1.00 /1k launch_postfair price | 12 total | — | — | 5m | fresh | |
| 50 | — | EVT$1.70 /1k match_returnedhigh price | 12 total | — | — | 5m | fresh | |
| 51 | — | EVT$1.70 /1k qr-code-generatedhigh price | 12 total | — | — | 6d | fresh | |
| 52 | — | RES$1.50 /1kfair price | 12 total | — | — | 6d | fresh | |
| 53 | — | RES$1.50 /1kfair price | 12 total | — | — | 5d | fresh | |
| 54 | — | EVT$0.20 /1k search_resultgood price | 12 total | — | — | 5m | fresh | |
| 55 | — | EVT$1.00 /1k image-convert-genefair price | 12 total | — | — | 6d | fresh | |
| 56 | — | EVT$0.20 /1k paper_extractedgood price | 12 total | — | — | 5m | fresh | |
| 57 | — | EVT$0.10 /1k story_extractedgood price | 04 total | — | — | 5m | aging | |
| 58 | — | EVT$2.38 /1k app_recordhigh price | 02 total | — | — | 5m | fresh | |
| 59 | — | EVT$0.20 /1k package_snapshotgood price | 01 total | — | — | 5m | fresh | |
| 60 | — | EVT$1.00 /1k review_extractedfair price | 02 total | — | — | 5m | aging | |
| 61 | — | EVT$5.00 /1k domain_enrichedsteep price | 01 total | — | — | 5m | aging | |
| 62 | — | EVT$0.50 /1k extension_snapshotfair price | 02 total | — | — | 5m | fresh | |
| 63 | — | EVT$4.89 /1k dataset-itemsteep price | 01 total | — | — | 4m | fresh | |
| 64 | — | EVT$1.70 /1k job_extractedhigh price | 01 total | — | — | 5m | fresh | |
| 65 | — | EVT$0.50 /1k advisory_extractedfair price | 02 total | — | — | 5m | fresh | |
| 66 | — | EVT$0.20 /1k article_extractedgood price | 02 total | — | — | 5m | fresh | |
| 67 | — | EVT$0.10 /1k protocol_snapshotgood price | 03 total | — | — | 5m | fresh | |
| 68 | — | EVT$0.30 /1k review_extractedgood price | 01 total | — | — | 5m | fresh | |
| 69 | — | EVT$1.27 /1k review_extractedhigh price | 01 total | — | — | 5m | fresh | |
| 70 | — | EVT$1.00 /1k paper_extractedfair price | 01 total | — | — | 5m | fresh | |
| 71 | — | EVT$0.20 /1k job_extractedgood price | 01 total | — | — | 5m | fresh | |
| 72 | — | EVT$0.30 /1k review_extractedgood price | 01 total | — | — | 5m | fresh | |
| 73 | — | EVT$5.00 /1k domain_extractedsteep price | 02 total | — | — | 5m | aging | |
| 74 | — | EVT$5.00 /1k trial_extractedsteep price | 01 total | — | — | 5m | fresh | |
| 75 | — | EVT$0.20 /1k podcast_resultgood price | 01 total | — | — | 5m | fresh | |
| 76 | — | EVT$0.20 /1k job_extractedgood price | 01 total | — | — | 5m | fresh |