What the reviews say
Accurately and comprehensively returns wide coverage of reviews with a simple, low-cost, single-input workflow, but scraping can be intermittently slow.
| Theme | Sentiment | Said | What they mean |
|---|---|---|---|
| How fast | 0 praised · 1 complained | 1 | intermittent slow performance observed“Overall good data, sometimes slow” — 4/5 |
| Is the data right | 2 praised · 0 complained | 2 | provides overall accurate review contenteffective language filtering for reviews“It also returns the Booking.com review pool that Agoda shows on the same page β that roughly doubled my sample for the same hotel without a second run. Language filter works, so my Japanese analysis isn't polluted by English reviews” — 5/5 |
| Does it return everything | 2 praised · 0 complained | 2 | includes reviewer country and datecaptures traveller type, room, stay length“Sub-ratings per category, reviewer country and date on every row. I built a dashboard that shows which nationalities rate our client's property below their own average β that's the insight the owner pays for, and it took one run to get the data” — 5/5 |
| What it supports | 2 praised · 0 complained | 2 | returns Booking.com review poolincludes reviews from closest competitors“I pull our own reviews and our three closest competitors' every Monday. Traveller type, room booked and length of stay are separate fields, so I can see that business travellers complain about breakfast and families don't. $3 per 1,000 reviews against $20 at the actor I used befor” — 5/5 |
| What it costs | 2 praised · 0 complained | 2 | flat predictable billing at low rate$3 per 1,000 reviews“Live room rates and reviews from the same input. cutoffDate means a daily run only brings what's new, which keeps the bill flat” — 5/5 |
| Setup and docs | 1 praised · 0 complained | 1 | single-input workflow for multiple outputs |
Is the data right
2 ↑ · 0 ↓ of 2Does it return everything
2 ↑ · 0 ↓ of 2What it supports
2 ↑ · 0 ↓ of 2History
30 readings since 2026-09-25Alternatives on Agoda
The actors either side of #5 of 134, 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 | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | B | EVT$4.00 /1k hotel | 82116 total | 99.4% | β | 2m | fresh | ||
| 2 | C | RES$6.00 /1khigh price | 73520 total | 99.9% | 5.0 | 18m | aging | ||
| 3 | B | RES$4.00 /1kfair price | 41127 total | 99.4% | 5.0 | 3m | fresh | ||
| 4 | B | RES$5.00 /1kfair price | 35114 total | 98.3% | β | 5m | fresh | ||
| 5 | B | EVT$3.00 /1k review | 2950 total | 97.8% | 5.0 | 53d | fresh | This | |
| 6 | D | RES$6.00 /1khigh price | 25334 total | 48.7% | 5.0 | 14m | aging | ||
| 7 | C | EVT$4.00 /1k hotel-scrape | 22105 total | 98.9% | 5.0 | 7m | aging | ||
| 8 | B | RES$1.50 /1kgood price | 1173 total | 100.0% | β | 7m | fresh | ||
| 9 | C | EVT$5.00 /1k property-scraped | 1029 total | 95.4% | β | 4m | fresh | ||
| 10 | β | RES$2.00 /1kgood price | 955 total | β | 5.0 | 6m | stale |