Fast Booking Scraper

Scrape Booking with this hotel scraper and get data about accommodation on Booking.com. Extract data by keywords or URLs for hotel prices, ratings, location, number of reviews, stars. Scrape and downl

liveasyncunknown~30s typical

travelfastbooking

$0.0025

per result + $0.005 call

plus $0.001 platform fee per run

Actor charges $0.002 per result; Cracked adds 25% plus a $0.005 call fee

Bring your own Apify Store key: provider portion drops to $0.

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run apify /voyager/fast-booking-scraper for me.

Input

Field	Type	Description
search	string	Insert the destination name here, e.g. Amsterdam.
startUrls	array	Insert URLs to start with instead of a destination name. Hotel search URL's filters will be applied, except for the ones in the scraper input. You can also use shared list URLs. These links are generated for properties you saved in your Booking.com account.
maxItems	integer	Limit the number of places to be scraped. Input a value over `1000` to activate the 'overcome 1000 results limit' feature.
propertyType	string (none \| Hotels \| Apartments \| Hostels \| Guest houses \| Homestays)	Choose type of property default "none"
sortBy	string (bayesian_review_score \| distance_from_search \| class_asc \| price \| review_score_and_price \| class_and_price)	Hotel attribute by which the results will be ordered default "distance_from_search"
minScore	string	Minimum rating of a hotel in "8.4" format. - Searching below a rating of `5` may be very inefficient, as it's not natively supported by Booking.com.
starsCountFilter	string (any \| 1 \| 2 \| 3 \| 4 \| 5)	Only scrape places with the selected stars count. Also includes Booking.com's apartment-like properties 'square' rating. default "any"
currency	string (ARS \| AUD \| AZN \| BHD \| BRL \| BGN)	Currency to be set on the website default "USD"
language	string (en-gb \| en-us \| de \| nl \| fr \| es)	Language to be set on the website (does not apply to reviews) default "en-gb"
checkIn	string	Select the check-in date in format YYYY-MM-DD or {number} {unit}. - Input the date in the UTC timezone. Booking.com uses the UTC timezone for all check-in and check-out dates, so we do the same.
checkOut	string	Select the check-out date in format YYYY-MM-DD or {number} {unit}. - Input the date in the UTC timezone. Booking.com uses the UTC timezone for all check-in and check-out dates, so we do the same.
flexWindow	string (0 \| 1 \| 2 \| 3 \| 7)	Number of days to flex around the check-in and check-out dates. E.g. setting `3` will scrape hotels with a possible date range up to 3 days before and 3 days after the selected dates.
rooms	integer	Number of rooms for the availability and price search. default 1
adults	integer	Number of adult guests for the availability and price search. default 2
children	integer	Number of child guests for the availability and price search. default 0
minMaxPrice	string	Insert the minimum and maximum price per night, e.g. '100-150' or '100+'.

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"apify","endpoint":"/voyager/fast-booking-scraper","input":{"search":"New York","maxItems":3,"sortBy":"distance_from_search","starsCountFilter":"any","currency":"USD","language":"en-gb","minMaxPrice":"0-999999"},"wait":false}'

poll

curl "https://cracked-ai-pearl.vercel.app/v1/runs/<runId>?wait=30" -H "Authorization: Bearer ck_live_..."

cli

npx cracked-ai run -p apify -e /voyager/fast-booking-scraper -i '{"search":"New York","maxItems":3,"sortBy":"distance_from_search","starsCountFilter":"any","currency":"USD","language":"en-gb","minMaxPrice":"0-999999"}' -w 120

mcp

run_tool({ provider: "apify", endpoint: "/voyager/fast-booking-scraper", input: {"search":"New York","maxItems":3,"sortBy":"distance_from_search","starsCountFilter":"any","currency":"USD","language":"en-gb","minMaxPrice":"0-999999"}, wait: false })

Try it

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