voyager
Booking ScraperScrape Booking with this hotels scraper and get data about accommodation on Booking.com. You can crawl by keywords or URLs for hotel prices, ratings, addresses, number of reviews, stars. You can also download all that room and hotel data from Booking.com with a few clicks: CSV, JSON, HTML, and Excel
Publisher description, verbatimon Booking.com, by users in the last 30 days among actors classified to this platform.
best #1 for “book”
The scraper is fast at retrieving data but often misses key property fields and room/policy details, returns incorrect prices (no child pricing), and is hindered by bot limits and lack of child-age input.
| Theme | Sentiment | Said | What they mean |
|---|---|---|---|
| Does it return everything | 0 praised · 2 complained | 2 | Missing multiple essential property fieldsRoom types and policies absent“Thank you Voyager for providing this actor, I like what I get. It delivered 80% of data I'm expecting. Is it possible to get these data: - Hotel area info (What's nearby the property) - House rules most importantly policies. - Rooms type.” — 4/5 |
| Is the data right | 0 praised · 2 complained | 2 | Prices incorrect; excludes child pricing“Hi, Unfortunately Booking.com asks for children age. No input option of children age is possible with this actor. Without the age Booking.com responses the price for only the adults. Could you extend the input fields with the age of the children? That would be great. Thank you in advance. Kindest regards, Gabor” — 5/5 |
| Caps and ceilings | 0 praised · 1 complained | 1 | Requests blocked due to bot limits“not working because bot limit” — 1/5 |
| Setup and docs | 0 praised · 1 complained | 1 | No option to enter children's ages |
| How fast | 1 praised · 0 complained | 1 | Quick response and fast data retrieval“i like it, it is quick and looks helpful. some fields seem to be not supported - like cancellation policy.” — 4/5 |
The actors either side of #1 of 229, 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$5.00 /1k place-scraped | 8189,227 total | 98.5% | 4.5 | 3.1y | fresh | This | |
| 2 | B | EVT$2.00 /1k review-scraped | 4673,667 total | 99.9% | 4.3 | 3.4y | fresh | ||
| 3 | B | EVT$3.00 /1k ecommerce-hotel-re | 2491,011 total | 99.9% | — | 6m | fresh | ||
| 4 | B | EVT$1.00 /1k search-result | 5576 total | 92.7% | — | 3m | fresh | ||
| 5 | C | RES$1.50 /1k | 38184 total | 98.1% | — | 5m | aging | ||
| 6 | B | RES$4.00 /1k | 3678 total | 99.6% | 5.0 | 2m | fresh |
Follow this actor, compare it against its rivals, and get every overnight change in one morning report.
Publish it yourself? Claim your publisher page and its full history is yours free, forever.
Booking.com
santamaria-automations
rl1987
solidcode
factden