Publisher · 50 actors

datascrapers on the Apify Store

datascrapers publishes 50 actors on the Apify Store, used by 93 people in the last 30 days. Average rating 5.0 across 1 rated actor. Oldest actor is 4m old. Pay-per-result prices run from $1.00 to $10.00 per 1,000 results, with a median of $3.00. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Price spread, $/1k results
$1.00cheapest
$3.00median
10×p5–p95 spread
0%stale (180d+)
100%under a year old
Last 7 dayson this catalogue

…and 44 more changes this week. Follow datascrapers — every change by email each morning

By monthly users#544↓ 25of 4,120 publishers · 93 users in 30 days
By catalogue size#279↓ 31of 4,120 publishers · 50 actors listed
By users all time#810↓ 24of 4,120 publishers · 221 users since they began
Graded5 of 502 B · 3 C · 45 not yet judged
Needs a build0 of 5037 fresh · 13 aging · stale = no build in 180 days
Carry half the users7 of 39top 3 hold 31.2% · 12.9% 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 build50 actors in the catalogue
Platforms targeted
Airbnb3
TikTok3
Instagram2
LinkedIn2
YouTube2
99.co1
99acres1
AliExpress1

+36 more platforms

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

Actors still listed today, by the date the store created them · busiest 2026-08 (26)

Biggest actors, monthly users
facebook-ads-scraper13%
facebook-marketplace10%
linkedin-profile-scraper9%
linkedin-job-scraper5%

share of this publisher’s 93 monthly users

44platforms targeted
11 a monthnew actors, last 133 days
Jun 2026first actor still listed
1dsince their newest actor

datascrapers spreads 50 actors across 44 platforms, most of all Airbnb (3). They have created 11 a month over the last 133 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
93↓ 44over 11 readings
Runs / daymatched per actor
77↓ 91over 10 readings
Runs / 30drolling window, summed
4,169↓ 1,221over 11 readings
Actorsin the census that day
50↓ 29over 11 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
185builds published
3/60days with a build
74%of the catalogue touched in 30 days
Last touched
today4
2–7d22
8–30d11
31–90d12
91–180d1

datascrapers published 185 builds on 3 of the last 60 days. Busiest was 17 Oct (178).

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
1BEVT$1.70 /1k dataset-itemfair price1217 total98.7%—41dfresh
2BEVT$2.00 /1k listinghigh price937 total98.1%5.0 (1)48dfresh
3—EVT$3.00 /1k profile-scrapedsteep price815 total——2maging
4—RES$1.00 /1kgood price510 total——48daging
5—EVT$1.50 /1k dataset-itemfair price56 total——2maging
6—RES$3.00 /1kfair price510 total——4maging
7CEVT$2.00 /1k tweethigh price59 total94.9%—2maging
8CEVT$1.00 /1k dataset-itemgood price48 total100.0%—56daging
9—RES$1.50 /1kfair price35 total——2mfresh
10—EVT$2.50 /1k dataset-itemhigh price35 total——2maging
11—EVT$3.00 /1k dataset-itemsteep price38 total——2mfresh
12—RES$10.00 /1ksteep price23 total——2maging
13—EVT$1.00 /1k dataset-itemgood price24 total——2mfresh
14—RES$1.00 /1kgood price25 total——2mfresh
15—EVT$3.00 /1k dataset-itemsteep price12 total——1dfresh
16—RES$3.00 /1kfair price12 total——4mfresh
17—EVT$1.00 /1k projectgood price12 total——2dfresh
18—RES$3.00 /1kfair price12 total——4maging
19—EVT$1.00 /1k listinggood price12 total——2dfresh
20—RES$3.00 /1kfair price12 total——4mfresh
21—EVT$1.50 /1k dataset-itemfair price12 total——1dfresh
22—EVT$1.50 /1k dataset-itemfair price12 total——1dfresh
23—EVT$1.50 /1k productfair price12 total——2dfresh
24—EVT$1.00 /1k dataset-itemgood price110 total——2maging
25—EVT$2.00 /1k dataset-itemhigh price12 total——12dfresh
26—EVT$1.00 /1k dataset-itemgood price12 total——12dfresh
27—EVT$1.00 /1k productgood price12 total——1dfresh
28CEVT$2.00 /1k dataset-itemhigh price11 total100.0%—2maging
29—EVT$15.00 /1k dataset-itemsteep price14 total——2mfresh
30—EVT$2.00 /1k dataset-itemhigh price11 total——2mfresh
31—EVT$2.00 /1k dataset-itemhigh price12 total——9dfresh
32—RES$1.00 /1kgood price11 total——2mfresh
33—RES$3.00 /1kfair price11 total——4maging
34—EVT$2.00 /1k dataset-itemhigh price12 total——2mfresh
35—EVT$1.50 /1k productfair price12 total——9dfresh
36—EVT$3.00 /1k listing-detailssteep price12 total——9dfresh
37—EVT$1.73 /1k producthigh price12 total——9dfresh
38—EVT$1.00 /1k listinggood price12 total——2dfresh
39—EVT$1.00 /1k listinggood price12 total——2dfresh
40—RES$1.00 /1kgood price01 total——2mfresh
41—RES$5.00 /1ksteep price05 total——2mfresh
42—EVT$1.00 /1k dataset-itemgood price03 total——2mfresh
43—EVT$3.00 /1k dataset-itemsteep price01 total——2mfresh
44—EVT$2.50 /1k dataset-itemhigh price01 total——2mfresh
45—RES$1.00 /1kgood price03 total——2mfresh
46—EVT$1.00 /1k dataset-itemgood price01 total——2mfresh
47—RES$10.00 /1ksteep price01 total——4mfresh
48—RES$1.00 /1kgood price05 total——2maging
49—EVT$2.50 /1k dataset-itemhigh price01 total——2mfresh
50—EVT$1.00 /1k dataset-itemgood price01 total——2mfresh
50 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →