Pricing

from $2.00 / 1,000 reviews

HRS Hotel Reviews Scraper

Extract HRS guest reviews and hotel ratings: comments, category scores, reviewer profiles, traveler segments, aggregated summaries, stars, address, GPS. Optional English translation + sentiment. Date/score filtering. Reputation monitoring, competitor benchmarking, travel analytics, AI workflows.

Pricing

from $2.00 / 1,000 reviews

Rating

0.0

(0)

Developer

Korado Labs

Actor stats

Bookmarked

Total users

Monthly active users

5 hours ago

Last modified

Categories

Travel

Automation

You can access the HRS Hotel Reviews Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "startUrls": [{ "url": "https://www.hrs.com/en/hotel/391864" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("korado_labs/hrs-reviews-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

HRS Hotel Reviews Scraper: English + AI Analysis API in Python

The Apify API client for Python is the official library that allows you to use HRS Hotel Reviews Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

HRS Hotel Reviews Scraper API in JavaScript

HRS Hotel Reviews Scraper API through CLI

HRS Hotel Reviews Scraper OpenAPI definition

HRS Hotel Reviews Scraper API

HRS Hotel Reviews Scraper

automation-lab/hrs-hotel-reviews-scraper

Extract public HRS guest reviews, comments, category ratings, traveler segments, and hotel summaries by hotel URL or ID. Fast HTTP output for reputation monitoring.

Stas Persiianenko

HRS Reviews Scraper

knagymate/hrs-reviews-scraper

Scrape HRS hotel reviews and ratings. Extract guest comments, category ratings, reviewer profiles, and aggregated hotel scores. Supports multiple hotels, date filtering, and review limits. Outputs clean, structured JSON ready for travel analytics, hospitality intelligence, and AI workflows.

knagymate

5.0

HRS Reviews Scraper ⭐

shahidirfan/HRS-Reviews-Scraper

Extract HRS hotel reviews, ratings, guest feedback, review dates, traveler insights, and hotel details at scale. Get structured, analysis-ready data for hospitality research, reputation monitoring, sentiment analysis, competitor tracking, and travel intelligence.

Shahid Irfan

HRS Hotel Reviews Scraper

rigelbytes/hrs-hotel-reviews-scraper

Extract hotel details, room offers, and guest reviews from HRS hotel URLs.

Rigel Bytes

HRS Hotel Scraper

rigelbytes/hrs-scraper

Scrapes hotel listings, prices, ratings, and amenities from HRS (hrs.com) by location and travel dates.

Rigel Bytes

HRS Hotel Extractor

kawsar/hrs-hotel-extractor

HRS hotel scraper that extracts live hotel listings, nightly rates, star ratings, and guest scores for any city, so SEO and travel teams can track competitor pricing and build hotel datasets without copying results by hand.

Kawsar

Hrs Hotels Search Scraper

stealth_mode/hrs-hotels-search-scraper

Scrape hotel search results from HRS.com including names, locations, ratings, amenities, room types, pricing, and 55+ structured fields. Perfect for travel analysts, procurement teams, and hospitality researchers needing bulk hotel data.

Stealth mode

HRS Hotel & Reviews Scraper

memo23/hrs-hotels-scraper

Scrape HRS.com hotels with every guest review — liked and disliked comments split apart, per-category scores, traveller segment, and the hotel's own published reply. Plus full profile: address, geo, stars, chain, contact email, amenities, images, sustainability. URL, ID, or all 181k hotels.

Muhamed Didovic

HRS.de Reviews Scraper

lexis-solutions/hrs-de-reviews-scraper

Collect detailed hotel reviews from HRS.de for market analysis and competitor insights. | Sammeln Sie detaillierte Hotelbewertungen von HRS.de für Marktanalysen und Wettbewerbsinformationen.

Lexis Solutions

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