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Priceline Hotels Scraper

Try for free

Scrape real-time hotel prices, availability, ratings & booking links from Priceline globally. Perfect for price monitoring, competitor analysis, travel analytics & hospitality research. Get structured, ETL-ready data for market intelligence & AI datasets.

Pricing

Pay per usage

Rating

5.0

(2)

Developer

Shahid Irfan

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Priceline Hotels Scraper API through CLI

The Apify CLI is the official tool that allows you to use Priceline Hotels Scraper locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Priceline Hotels Scraper API in Python

Priceline Hotels Scraper API in JavaScript

Priceline Hotels Scraper OpenAPI definition

Priceline Hotels Scraper API

Priceline Hotel Scraper

jupri/priceline-hotel-scraper

Scrape Priceline.com Hotels

cat

Priceline Travel MCP Server

axlymxp/priceline-travel-mcp-server

MCP server + scraper for Priceline. Search hotels and flights, and fetch hotel details and guest reviews live from Claude, ChatGPT, Cursor and other AI agents — or run it as a classic Priceline hotel scraper. Pay per tool call.

axly

Priceline Hotel Scraper

axlymxp/priceline-hotel-scraper

Scrape Priceline.com hotels by destination and dates — nightly and total prices, star levels, guest-rating scores, amenities, GPS and neighborhoods, with optional room detail and reviews. Built on Priceline's official API for reliable, structured JSON. Pay only for the hotels you get.

axly

Priceline Reviews Scraper

knagymate/priceline-reviews-scraper

Easily scrape Priceline hotel reviews with ratings, review texts, traveler types, and locations. Export results to CSV, Excel, JSON, or HTML for analysis, research, and customer feedback monitoring.

knagymate

5.0

Priceline Hotel Reviews Scraper

shahidirfan/Priceline-Hotel-Reviews-Scraper

Scrape Priceline hotel reviews, ratings & guest feedback at scale. Extract review text, scores, guest names, dates & metadata. Ideal for hotel reputation management, competitive benchmarking, sentiment analysis & travel market research. Structured JSON output.

Shahid Irfan

5.0

Hotel Price Comparison Scraper

jungle_synthesizer/hotel-price-comparison-scraper

Compare hotel prices across Booking.com, Expedia, Hotels.com, and Priceline from a single search. Collect nightly rates, guest ratings, star ratings, amenities, and photos for any destination. Perfect for travel market research and rate intelligence.

BowTiedRaccoon

Priceline Hotel Scraper

moving_beacon-owner1/priceline-hotel-scraper

Search Priceline hotels by destination and dates, returning hotel names, star ratings, guest scores, reviews, locations, brands, cancellation policies, and the cheapest nightly rates in a clean, structured format.

Jamshaid Arif

Google Hotels Scraper

scraper-engine/google-hotels-scraper

Scrape hotel data from Google Hotels, including prices, ratings, reviews, amenities, photos, and location details. Perfect for travel research, competitor analysis, pricing insights, and marketplace datasets. Fast, accurate, and ideal for large-scale hospitality intelligence.

Scraper Engine

5.0

Priceline hotel scraper: prices, ratings, deals

mrbridge/priceline-hotel-scraper

Extract hotel prices, ratings, amenities, star levels and deals from Priceline.com. Search any destination with date, room and guest filters, sort by price, rating or stars, and return up to 500 results per search. Export data, run via API, schedule runs, or integrate with other tools. By MrBridge

MrBridge

Skyscanner Hotels Scraper 🏨

shahidirfan/Skyscanner-Hotels-Scraper

Extract Skyscanner hotel data at scale, including hotel names, prices, ratings, reviews, locations, availability, and booking details. Ideal for hotel price comparison, travel market research, competitor tracking, tourism analytics, and hospitality datasets.

Shahid Irfan