Actor/lergassy

Agoda Reviews Scraper πŸ’°$3/1K β€” Hotel Guest Reviews & Ratings

Scrape hotel guest reviews and ratings from Agoda, including the Booking.com review pool on the same page: rating, text, traveler type, room booked, length of stay, reviewer country and date, plus live room prices. Hotel review data for any property.

Publisher description, verbatim
Last 7 dayson this actor
Each one reaches followers by email the morning after.Follow this actor
Key figures30 readings
Price / 1k$3.00per 1,000 review
Users / 30d29↑ 20 over 30 readings
Users, all time50↑ 32 over 30 readings
Runs / 30d404↑ 119 over 30 readings
Runs / user / mo13.9runs per monthly user
Standing
#5of 134

on Agoda, by users in the last 30 days among actors classified to this platform.

Store search presence
2top-10 keywords

best #3 for “agoda”

  • agoda#3
  • agoda scraper#3
re-crawled daily
Recorded changes
  • 2026-10-16platformPlatform standing moveentered top-3 on agoda.com (#4 β†’ #3 of 70)β€”on record
  • 2026-10-06schemaInput schema changedβ€”on record
  • 2026-10-06contentREADME updated+302 characters+302characters
showing 3 of 9 in the last 30 days · followers get all 9 by email

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.

5 of 5 reviews carry text
ThemeSentimentSaidWhat they mean
How fast0 praised · 1 complained1intermittent slow performance observed“Overall good data, sometimes slow” — 4/5
Is the data right2 praised · 0 complained2provides 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 everything2 praised · 0 complained2includes 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 supports2 praised · 0 complained2returns 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 costs2 praised · 0 complained2flat 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 docs1 praised · 0 complained1single-input workflow for multiple outputs

How fast

0 ↑ · 1 ↓ of 1
intermittent slow performance observed“Overall good data, sometimes slow” — 4/5

Is the data right

2 ↑ · 0 ↓ of 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 ↑ · 0 ↓ of 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 ↑ · 0 ↓ of 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
2 more themes · read all 5 →
Every count is a review we read. Quotes are one reviewer, unedited.Read all 5 →

History

30 readings since 2026-09-25
Users / 30d30 readings
09-25↑ 2010-24
Users, all time30 readings
09-25↑ 3210-24
Runs / 30d30 readings
09-25↑ 11910-24
Standing30 readings
09-25↓ 310-24

Alternatives 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.

all 134 on Agoda →
Sort
#ActorGradePrice / 1kUsers /30dSuccessRatingAgeFresh
1BEVT$4.00 /1k hotel82116 total99.4%β€”2mfresh
2CRES$6.00 /1khigh price73520 total99.9%5.0 (4)18maging
3BRES$4.00 /1kfair price41127 total99.4%5.0 (5)3mfresh
4BRES$5.00 /1kfair price35114 total98.3%β€”5mfresh
5BEVT$3.00 /1k review2950 total97.8%5.0 (9)53dfreshThis
6DRES$6.00 /1khigh price25334 total48.7%5.0 (2)14maging
7CEVT$4.00 /1k hotel-scrape22105 total98.9%5.0 (3)7maging
8BRES$1.50 /1kgood price1173 total100.0%β€”7mfresh
9CEVT$5.00 /1k property-scraped1029 total95.4%β€”4mfresh
10β€”RES$2.00 /1kgood price955 totalβ€”5.0 (1)6mstale

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Numbers on this page are measured only by an independent census of the Apify Store — not self-reported.