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 2026-09-25Alternatives on X (Twitter)
The actors either side of #12 of 900, 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 dataset-itemfair price | 5433,223 total | 99.8% | 3.4 | 12m | fresh | ||
| 8 | B | RES$15.00 /1ksteep price | 4993,526 total | 100.0% | 4.9 | 14m | aging | ||
| 9 | B | EVT$0.25 /1k result-itemgood price | 4982,831 total | 97.9% | 5.0 | 19m | fresh | ||
| 10 | B | RES$0.30 /1kgood price | 4418,218 total | 99.9% | 4.4 | 2.6y | fresh | ||
| 11 | B | EVT$0.40 /1k result-itemfair price | 4363,207 total | 99.8% | 4.3 | 16m | fresh | ||
| 12 | B | RES$0.15 /1kgood price | 4026,066 total | 99.7% | 4.5 | 23m | fresh | This | |
| 13 | B | EVT$0.25 /1k result-itemgood price | 3192,691 total | 100.0% | 3.3 | 19m | fresh | ||
| 14 | B | EVT$1.50 /1k tweet-scrapedhigh price | 231312 total | 90.7% | — | 2m | fresh | ||
| 15 | B | RES$0.30 /1kgood price | 2172,269 total | 99.9% | 4.9 | 22m | fresh | ||
| 16 | B | EVT$20.00 /1k account-foundsteep price | 2012,189 total | 98.5% | 5.0 | 5m | fresh | ||
| 17 | B | RES$0.49 /1khigh price | 166311 total | 98.0% | 5.0 | 3m | fresh |