Agoda and Trip.com reviews actors on the Apify Store compared
Agoda and Trip.com Reviews Scraper next to the most used Agoda and Trip.com reviews actors on the Apify Store: pricing model, price per 1,000, share of failed runs and input compatibility. Data as of 2026-10-31.
| Actor | Pricing model | Price per 1,000, Free plan | Lowest plan price per 1,000 | Failed or timed out, 30 days | Input compatibility |
|---|---|---|---|---|---|
| arcadium/agoda-tripcom-reviews (ours) | Pay per event | $5.40 per 1,000 “Agoda review” | $2.70 | n/a | - |
| knagymate/fast-agoda-reviews-scraper Fast Agoda Reviews Scraper | Pay per event | $6.00 per 1,000 “Result” | $3.00 | 0.1% of 149,051 runs | Our README states its input works as is |
| knagymate/trip-com-reviews-scraper Trip.com & Ctrip Reviews Scraper | Pay per event | $4.00 per 1,000 “Result” | $3.00 | 6.4% of 93,037 runs | Our README states its input works as is |
| lergassy/agoda-reviews-scraper Agoda Reviews Scraper 💰$3/1K - Hotel Guest Reviews & Ratings | Pay per event | $3.00 per 1,000 “Review” | $2.10 | 0.0% of 397 runs | Our README states its input works as is |
| factden/ctrip-trip-reviews-scraper Trip.com & Ctrip Reviews Scraper - Tripcom Hotels 携程 | Pay per event | $4.00 per 1,000 “Review” | $2.50 | 0.0% of 1,583 runs | Our README states its input works as is |
| factden/agoda-hotel-reviews-scraper Agoda Hotel Reviews Scraper 🏨 Ratings, Text & Sentiment | Pay per event | $4.00 per 1,000 “Review” | $2.00 | 0.0% of 250 runs | Not stated |
How this table is made
- Data date: 2026-10-31, read from the public Apify API (
GET /v2/acts/<actor>andGET /v2/store) without an account. - Which actors: actors our README names as input-compatible, plus the top results of the Store search “agoda reviews” sorted by popularity whose title matches the niche; ours excluded. Up to five.
- Price: the price in force on the data date for the actor’s main charged event (or per result), on the Apify Free plan and on the cheapest plan. Start fees and platform usage are not included; actors marked “plus platform usage” also bill Apify compute. Units differ: compare what one charged row contains.
- Failed or timed out: (FAILED + TIMED-OUT) / TOTAL of the actor’s public run statistics for the last 30 days as Apify publishes them. Aborted runs are left out. Shown only from 50 runs; a failed run can also come from a bad input.
- Input compatibility: only what our README states; we did not test the other actors.
Prices and statistics change; the Store page of each actor is the current source.