Publisher · 156 actors

rigelbytes on the Apify Store

rigelbytes publishes 156 actors on the Apify Store, used by 185 people in the last 30 days. Average rating 4.0 across 4 rated actors. Oldest actor is 17m old. Pay-per-result prices run from $0.40 to $15.00 per 1,000 results, with a median of $1.50. 4 haven't been updated in six months. 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
15×p5–p95 spread
2%stale (180d+)
97%under a year old
Last 7 dayson this catalogue

…and 15 more changes this week. Follow rigelbytes — every change by email each morning

Standing#307↑ 20of 3,085 publishers by monthly users
Graded10 of 1569 C · 1 E · 146 not yet judged
Needs a build4 of 15636 fresh · 116 aging · stale = no build in 180 days
Carry half the users27 of 115top 3 hold 16.2% · 5.9% on the largest
Monthly userssummed across this catalogue
185↑ 59over 30 readings
Runs / daymatched per actor
188↑ 74over 30 readings
Runs / 30drolling window, summed
8,450↓ 867over 30 readings
Actorsin the census that day
156↑ 33over 30 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.

Sort
#ActorGradePrice / 1kUsers /30dSuccessRatingAgeFresh
1—RES$7.00 /1khigh price11141 total—5.0 (1)9maging
2CEVT$1.00 /1k dataset-itemgood price1016 total96.8%—36daging
3CEVT$10.00 /1k dataset-itemsteep price9230 total92.7%—15maging
4CEVT$1.00 /1k dataset-itemgood price610 total98.7%—56daging
5—EVT$2.00 /1k listinghigh price575 total—1.0 (2)17maging
6—RES$10.00 /1khigh price480 total——7maging
7—EVT$1.00 /1k dataset-itemgood price35 total——33daging
8—EVT$10.00 /1k dataset-itemsteep price3114 total—5.0 (1)16maging
9—RES$10.00 /1khigh price314 total——8mstale
10—RES$1.00 /1kgood price38 total——3maging
11—EVT$1.00 /1k dataset-itemgood price35 total——2maging
12CEVT$15.00 /1k dataset-itemsteep price368 total98.1%—9mfresh
13—RES$1.00 /1kgood price310 total——3maging
14—EVT$1.00 /1k dataset-itemgood price22 total——21dfresh
15—EVT$2.50 /1k dataset-itemsteep price210 total——12mfresh
16—RES$10.00 /1khigh price212 total——8maging
17CEVT$1.00 /1k dataset-itemgood price26 total100.0%—35daging
18CEVT$2.00 /1k listinghigh price23 total99.5%—27dfresh
19—EVT$1.00 /1k dataset-itemgood price22 total——33daging
20—EVT$2.50 /1k dataset-itemsteep price23 total——17dfresh
21—EVT$1.00 /1k dataset-itemgood price23 total——18dfresh
22—EVT$1.00 /1k dataset-itemgood price23 total——20dfresh
23—EVT$1.00 /1k dataset-itemgood price25 total——33daging
24—EVT$1.00 /1k jobgood price25 total——27dfresh
25—RES$10.00 /1khigh price229 total——7maging
26—EVT$3.00 /1k profile-scrapedsteep price22 total——3maging
27—RES$2.00 /1khigh price23 total——8maging
28CEVT$2.00 /1k dataset-itemhigh price23 total100.0%—34daging
29CRES$1.00 /1kgood price210 total90.9%—3maging
30—EVT$2.00 /1k dataset-itemhigh price23 total——8maging
31—EVT$1.50 /1k listingfair price12 total——3dfresh
32—RES$1.50 /1kfair price16 total——5maging
33—EVT$2.00 /1k dataset-itemhigh price12 total——3maging
34—EVT$3.00 /1k dataset-itemsteep price12 total——38daging
35EEVT$3.00 /1k dataset-itemsteep price14 total24.3%—48daging
36—RES$1.50 /1kfair price12 total——3maging
37—EVT$2.50 /1k companysteep price12 total——26dfresh
38—EVT$1.00 /1k dataset-itemgood price14 total——2maging
39—EVT$1.50 /1k productfair price12 total——12dfresh
40—EVT$1.00 /1k dataset-itemgood price11 total——17dfresh
41—EVT$1.00 /1k listinggood price12 total——14dfresh
42—RES$7.00 /1khigh price13 total——6maging
43—EVT$1.00 /1k jobgood price12 total——34daging
44—EVT$2.00 /1k dataset-itemhigh price17 total——2maging
45—EVT$1.50 /1k chargerfair price12 total——6dfresh
46—EVT$1.00 /1k dataset-itemgood price12 total——15dfresh
47—EVT$1.00 /1k dataset-itemgood price110 total——8maging
48—RES$1.00 /1kgood price18 total——11maging
49—EVT$1.50 /1k dataset-itemfair price12 total——8dfresh
50—EVT$1.50 /1k chargerfair price12 total——6dfresh
51—EVT$1.00 /1k dataset-itemgood price12 total——56daging
52—RES$5.00 /1khigh price13 total——4mfresh
53CEVT$50.00 /1k tool-callsteep price13 total99.0%—2maging
54—EVT$2.00 /1k dataset-itemhigh price12 total——8maging
55—RES$1.00 /1kgood price11 total——3maging
56—EVT$2.00 /1k dataset-itemhigh price12 total——49daging
57—EVT$15.00 /1k simple-profilesteep price113 total——9maging
58—EVT$1.00 /1k dataset-itemgood price12 total——2maging
59—EVT$1.00 /1k dataset-itemgood price11 total——2maging
60—EVT$2.00 /1k dataset-itemhigh price12 total——8maging
61—EVT$1.00 /1k productgood price12 total——9dfresh
62—EVT$2.00 /1k tweethigh price12 total——49daging
63—EVT$3.00 /1k dataset-itemsteep price11 total——58daging
64—EVT$2.00 /1k dataset-itemhigh price12 total——8maging
65—RES$15.00 /1ksteep price138 total——9maging
66—EVT$1.50 /1k productfair price12 total——1dfresh
67—EVT$1.00 /1k dataset-itemgood price11 total——56daging
68—EVT$1.50 /1k dataset-itemfair price12 total——35daging
69—RES$1.00 /1kgood price13 total——3maging
70—RES$3.00 /1khigh price12 total——3maging
71—EVT$1.00 /1k dataset-itemgood price12 total——20dfresh
72—RES$1.00 /1kgood price13 total——3maging
73—EVT$1.50 /1k dataset-itemfair price12 total——12dfresh
74—EVT$5.00 /1k propertysteep price12 total——28dfresh
75—EVT$1.00 /1k dataset-itemgood price12 total——52daging
76—EVT$2.50 /1k dataset-itemsteep price12 total——3maging
77—EVT$1.00 /1k dataset-itemgood price12 total——56daging
78—EVT$1.50 /1k dataset-itemfair price12 total——12dfresh
79—EVT$1.00 /1k dataset-itemgood price12 total——2maging
80—RES$10.00 /1khigh price15 total——7maging
81—EVT$1.50 /1k productfair price11 total——9dfresh
82—RES$1.00 /1kgood price15 total——3maging
83—EVT$3.00 /1k dataset-itemsteep price11 total——2maging
84—EVT$1.00 /1k dataset-itemgood price12 total——2maging
85—EVT$1.00 /1k dataset-itemgood price12 total——7dfresh
86—RES$1.50 /1kfair price14 total——3maging
87—EVT$1.00 /1k dataset-itemgood price12 total——7dfresh
88—EVT$2.00 /1k dataset-itemhigh price11 total——3maging
89—EVT$1.00 /1k dataset-itemgood price12 total——18dfresh
90—EVT$3.00 /1k dataset-itemsteep price11 total——48daging
91—EVT$2.00 /1k dataset-itemhigh price12 total——40daging
92—EVT$1.00 /1k dataset-itemgood price12 total——31daging
93—RES$1.00 /1kgood price11 total——3maging
94—EVT$1.50 /1k dataset-itemfair price11 total——57daging
95—RES$2.00 /1khigh price11 total——3maging
96—EVT$3.00 /1k listing-detailssteep price12 total——3maging
97—EVT$1.50 /1k flightfair price12 total——1dfresh
98—EVT$1.00 /1k listing-itemsgood price12 total——3maging
99—RES$1.50 /1kfair price12 total——3maging
100—RES$2.00 /1khigh price12 total——2maging
101—RES$1.00 /1kgood price14 total——3maging
102—RES$1.00 /1kgood price12 total——3maging
103—EVT$2.00 /1k dataset-itemhigh price12 total——2maging
104—EVT$10.00 /1k dataset-itemsteep price11 total——50daging
105—RES$1.00 /1kgood price12 total——3maging
106—RES$1.00 /1kgood price15 total——3maging
107—EVT$2.00 /1k dataset-itemhigh price12 total——3dfresh
108—EVT$1.00 /1k dataset-itemgood price12 total——57daging
109—EVT$1.00 /1k dataset-itemgood price12 total——2maging
110—EVT$1.50 /1k dataset-itemfair price14 total——27dfresh
111—EVT$5.00 /1k dataset-itemsteep price12 total——2maging
112—RES$10.00 /1khigh price12 total——5maging
113—EVT$2.50 /1k listingsteep price12 total——34daging
114—EVT$2.00 /1k dataset-itemhigh price12 total——8maging
115—EVT$1.00 /1k dataset-itemgood price12 total——2maging
116—EVT$10.00 /1k dataset-itemsteep price02 total——47daging
117—EVT$1.00 /1k dataset-itemgood price01 total——17dfresh
118—EVT$1.00 /1k dataset-itemgood price07 total——8maging
119—EVT$2.50 /1k dataset-itemsteep price02 total——3maging
120—RES$15.00 /1ksteep price036 total——9maging
121—EVT$1.00 /1k dataset-itemgood price04 total——2maging
122—EVT$2.00 /1k dataset-itemhigh price01 total——33daging
123—RES$1.00 /1kgood price06 total——3maging
124—RES$10.00 /1khigh price04 total——8mstale
125—RENT$100 /mo03 total——6maging
126—RES$1.00 /1kgood price03 total——3maging
127—EVT$3.00 /1k dataset-itemsteep price02 total——3maging
128—RES$10.00 /1khigh price01 total——8mstale
129—EVT$2.00 /1k dataset-itemhigh price03 total——8maging
130—EVT$2.00 /1k dataset-itemhigh price01 total——45daging
131—EVT$2.50 /1k dataset-itemsteep price037 total—5.0 (1)16maging
132—EVT$1.50 /1k dataset-itemfair price01 total——44daging
133—EVT$2.00 /1k dataset-itemhigh price02 total——3maging
134—EVT$2.50 /1k dataset-itemsteep price01 total——37daging
135—EVT$2.00 /1k dataset-itemhigh price02 total——15dfresh
136—RES$0.40 /1kgood price017 total——8mstale
137—EVT$1.70 /1k dataset-itemhigh price010 total——9mfresh
138—EVT$1.00 /1k dataset-itemgood price02 total——29dfresh
139—RES$1.50 /1kfair price01 total——3maging
140—EVT$2.00 /1k dataset-itemhigh price03 total——3maging
141—EVT$1.00 /1k dataset-itemgood price01 total——57daging
142—EVT$2.00 /1k dataset-itemhigh price01 total——43daging
143—EVT$1.50 /1k dataset-itemfair price01 total——29dfresh
144—EVT$2.00 /1k dataset-itemhigh price01 total——6maging
145—EVT$1.00 /1k dataset-itemgood price01 total——36daging
146—EVT$2.00 /1k dataset-itemhigh price01 total——2maging
147—EVT$1.00 /1k dataset-itemgood price01 total——2maging
148—RES$10.00 /1khigh price04 total——9maging
149—EVT$2.00 /1k dataset-itemhigh price02 total——8maging
150—EVT$2.00 /1k dataset-itemhigh price01 total——57daging
showing top 150 of 156 by monthly users · * prices normalized per 1,000 units Open in search with filters →