What the reviews say
Fast and affordably priced with generally dependable operation, but it suffers from accuracy and completeness issues, occasional reliability failures, and very large output files.
| Theme | Sentiment | Said | What they mean |
|---|---|---|---|
| Does it run | 4 praised · 2 complained | 6 | consistently works as described and reliableoccasional failures and unreliable scraped data“Does exactly what it says it does for the price. Very great Actor highly recommend.” — 5/5 |
| Is the data right | 0 praised · 2 complained | 2 | numeric rounding and truncation causing errors“I scraped duplicate data and excess more than profile followers. That's means the data is not reliable. I have 7049 followers, it scraped 7200 followrs, where did it get it?” — 1/5 |
| Does it return everything | 0 praised · 1 complained | 1 | omits data before a certain date“Great scraper! I think the addition of scraping from a certain date in time would be a great add, especially for scheduling future scrapes” — 4/5 |
| Setup and docs | 0 praised · 1 complained | 1 | outputs files too large to open“Why are the files so large? I can't even open them after I scrape. I can't see why even as an XML file it would be so ludicrously big - especially after removing columns with JSON expandable fields.” — 2/5 |
| What it costs | 2 praised · 0 complained | 2 | offers very good price-to-performance value“Works exactly as described, great pricing for the performance it provides.” — 5/5 |
| How fast | 1 praised · 0 complained | 1 | very fast scraping performance and throughput“Very fast and reliable scraper.” — 5/5 |
Is the data right
0 ↑ · 2 ↓ of 2Does it return everything
0 ↑ · 1 ↓ of 1Setup and docs
0 ↑ · 1 ↓ of 1History
30 readings since 2026-08-27Alternatives on X (Twitter)
The actors either side of #12 of 808, ranked by users in the last 30 days. Same platform, adjacent adoption — the comparable set.
| # | Actor | Grade | Price / 1k | Users /30d | Success | Rating | Age | Fresh | |
|---|---|---|---|---|---|---|---|---|---|
| 7 | B | EVT$0.40 /1k result-itemfair price | 4952,922 total | 99.9% | 4.3 | 15m | fresh | ||
| 8 | B | EVT$0.40 /1k dataset-itemfair price | 4812,862 total | 99.8% | 3.4 | 11m | fresh | ||
| 9 | B | EVT$0.25 /1k result-itemgood price | 4612,379 total | 99.5% | 5.0 | 18m | fresh | ||
| 10 | A | RES$15.00 /1ksteep price | 4203,160 total | 98.7% | 4.9 | 13m | fresh | ||
| 11 | C | RES$0.15 /1kgood price | 3952,817 total | 99.5% | 3.3 | 16m | aging | ||
| 12 | B | RES$0.15 /1kgood price | 2965,650 total | 99.8% | 4.5 | 22m | fresh | This | |
| 13 | B | EVT$0.25 /1k result-itemgood price | 2602,436 total | 99.9% | 4.2 | 18m | fresh | ||
| 14 | B | RES$3.00 /1kfair price | 2042,120 total | 99.5% | 4.9 | 21m | fresh | ||
| 15 | B | EVT$20.00 /1k account-foundsteep price | 2041,725 total | 90.8% | 5.0 | 4m | fresh | ||
| 16 | B | EVT$0.80 /1k media-second-transhigh price | 167388 total | 91.2% | 5.0 | 2m | fresh | ||
| 17 | C | RES$4.80 /1khigh price | 158423 total | 99.8% | — | 5m | aging |