xquik
X (Twitter) Tweet Scraper | $0.00015/Tweet | Pay-Per-Result
X (Twitter)What it costs
4 ↑ · 1 ↓ of 5consistently low price and good valuebundled with useful scraper tools“good price, speed, and given data. The best i used yet tbh scraping by single link this is amazing!” — 5/5
What the reviews say
Good at low cost, bundled tools, and speed; fails on billing transparency and misleading advertised per-unit pricing
| Theme | Sentiment | Said | What they mean |
|---|---|---|---|
| What it costs | 4 praised · 1 complained | 5 | consistently low price and good valuebundled with useful scraper tools“good price, speed, and given data. The best i used yet tbh scraping by single link this is amazing!” — 5/5 |
| Is the data right | 0 praised · 1 complained | 1 | misleading advertised per-unit pricing“DO NOT USE! The title falsely advertises "$0.15/1K Tweets", but the actual configured price is $0.015 PER TWEET ($15.00 per 1,000). That is 100 times more expensive! I was charged $10.89 for just 726 tweets instead of the expected $0.11. This is a complete bait-and-switch that will drain your Apify credits instantly. Reported for false advertising!” — 1/5 |
| How fast | 1 praised · 0 complained | 1 | fast scraping and quick responses |
| Does it return everything | 1 praised · 0 complained | 1 | returns the expected dataset fields |
Is the data right
0 ↑ · 1 ↓ of 1misleading advertised per-unit pricing“DO NOT USE! The title falsely advertises "$0.15/1K Tweets", but the actual configured price is $0.015 PER TWEET ($15.00 per 1,000). That is 100 times more expensive! I was charged $10.89 for just 726 tweets instead of the expected $0.11. This is a complete bait-and-switch that will drain your Apify credits instantly. Reported for false advertising!” — 1/5
How fast
1 ↑ · 0 ↓ of 1fast scraping and quick responses
Does it return everything
1 ↑ · 0 ↓ of 1returns the expected dataset fields
Every count is a review we read.
6 of the 11 said only that they liked it, with nothing specific — those are excluded from the themes above.
Quotes are one reviewer, unedited.Read all 11 →
History
30 readings since 2026-09-25Alternatives on X (Twitter)
The actors either side of #3 of 900, ranked by users in the last 30 days. Same platform, adjacent adoption — the comparable set.
Sort
| # | Actor | Grade | Price / 1k | Users /30d | Success | Rating | Age | Fresh | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | B | RES$0.40 /1khigh price | 9,702112.9K total | 98.5% | 3.9 | 2.9y | fresh | ||
| 2 | B | RES$0.25 /1kfair price | 5,12235.5K total | 98.3% | 4.3 | 2.0y | fresh | ||
| 3 | A | RES$0.15 /1kgood price | 3,0047,350 total | 100.0% | 4.7 | 7m | fresh | This | |
| 4 | A | EVT$0.40 /1k dataset-item-tier- | 2,31141.1K total | 99.9% | 4.8 | 2.5y | fresh | ||
| 5 | B | EVT$0.40 /1k dataset-item | 1,1399,886 total | 99.7% | 4.4 | 2.9y | fresh | ||
| 6 | B | RES$0.15 /1kgood price | 6723,494 total | 99.5% | 3.3 | 17m | fresh | ||
| 7 | B | EVT$0.40 /1k dataset-item | 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 |
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