How to Scrape AirlineQuality.com (Skytrax) Reviews

Learn how to scrape airline and airport reviews from AirlineQuality.com. Extract ratings, passenger sentiment, and seat data for market research.

Coverage:Global
Available Data8 fields
TitleLocationDescriptionImagesSeller InfoPosting DateCategoriesAttributes
All Extractable Fields
Review TitleOverall Rating (1-10)Review BodyReview DateReviewer NameTrip Verified StatusAircraft TypeType Of TravellerSeat TypeRouteDate FlownSeat Comfort Rating (1-5)Cabin Staff Service Rating (1-5)Food & Beverages Rating (1-5)Inflight Entertainment Rating (1-5)Ground Service Rating (1-5)Wifi & Connectivity Rating (1-5)Value For Money Rating (1-5)Recommended (Yes/No)
Technical Requirements
JavaScript Required
No Login
Has Pagination
No Official API
Anti-Bot Protection Detected
CloudflareRate LimitingIP BlockingTurnstile

Anti-Bot Protection Detected

Cloudflare
Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
Rate Limiting
Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
IP Blocking
Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.
Turnstile

About AirlineQuality (Skytrax)

Learn what AirlineQuality (Skytrax) offers and what valuable data can be extracted from it.

Overview of AirlineQuality.com

AirlineQuality.com, operated by Skytrax, is the leading global platform for airline and airport customer reviews. It serves as a primary source for the World Airline Awards and contains millions of data points regarding traveler experiences across over 600 airlines and 500 airports worldwide.

Data and Insights

The website provides detailed feedback on specific cabin classes (Economy, Premium Economy, Business, First), seat comfort, staff service, and ground handling. This data is critical for aviation analysts and market researchers who need to monitor brand reputation and service performance metrics.

Strategic Value

Scraping this data allows companies to perform sentiment analysis at scale, benchmark competitors, and identify common pain points in the passenger journey that can be addressed through service improvements or targeted marketing.

About AirlineQuality (Skytrax)

Why Scrape AirlineQuality (Skytrax)?

Discover the business value and use cases for extracting data from AirlineQuality (Skytrax).

Competitive benchmarking for airlines and airports

Sentiment analysis of passenger experiences across different travel classes

Historical tracking of service quality for major carriers

Identification of specific pain points in aircraft seat design or food service

Market research for travel insurance or airport lounge providers

Lead generation for aviation consultants and B2B service providers

Scraping Challenges

Technical challenges you may encounter when scraping AirlineQuality (Skytrax).

Cloudflare Turnstile often blocks requests from standard automated scripts

The 5-second crawl delay requested in robots.txt must be respected to avoid IP bans

Sub-ratings are stored in nested HTML tables using star-icon spans instead of text numbers

Review content is often prefixed with 'Trip Verified' metadata which requires cleaning

Dynamic loading of content often requires headless browser environments

Scrape AirlineQuality (Skytrax) with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

1

Describe What You Need

Tell the AI what data you want to extract from AirlineQuality (Skytrax). Just type it in plain language — no coding or selectors needed.

2

AI Extracts the Data

Our artificial intelligence navigates AirlineQuality (Skytrax), handles dynamic content, and extracts exactly what you asked for.

3

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

Effortlessly handles Cloudflare challenges without manual coding
Automatically counts star-icon elements to convert visual ratings into clean numbers
Supports scheduled runs to capture the latest reviews daily or weekly
No-code interface allows for easy handling of pagination and complex table structures
Centralized data management for multiple airlines simultaneously
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape AirlineQuality (Skytrax) without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.

How to scrape with AI:
  1. Describe What You Need: Tell the AI what data you want to extract from AirlineQuality (Skytrax). Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates AirlineQuality (Skytrax), handles dynamic content, and extracts exactly what you asked for.
  3. Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
  • Effortlessly handles Cloudflare challenges without manual coding
  • Automatically counts star-icon elements to convert visual ratings into clean numbers
  • Supports scheduled runs to capture the latest reviews daily or weekly
  • No-code interface allows for easy handling of pagination and complex table structures
  • Centralized data management for multiple airlines simultaneously

No-Code Web Scrapers for AirlineQuality (Skytrax)

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape AirlineQuality (Skytrax). These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

1
Install browser extension or sign up for the platform
2
Navigate to the target website and open the tool
3
Point-and-click to select data elements you want to extract
4
Configure CSS selectors for each data field
5
Set up pagination rules to scrape multiple pages
6
Handle CAPTCHAs (often requires manual solving)
7
Configure scheduling for automated runs
8
Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

No-Code Web Scrapers for AirlineQuality (Skytrax)

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape AirlineQuality (Skytrax). These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools
  1. Install browser extension or sign up for the platform
  2. Navigate to the target website and open the tool
  3. Point-and-click to select data elements you want to extract
  4. Configure CSS selectors for each data field
  5. Set up pagination rules to scrape multiple pages
  6. Handle CAPTCHAs (often requires manual solving)
  7. Configure scheduling for automated runs
  8. Export data to CSV, JSON, or connect via API
Common Challenges
  • Learning curve: Understanding selectors and extraction logic takes time
  • Selectors break: Website changes can break your entire workflow
  • Dynamic content issues: JavaScript-heavy sites often require complex workarounds
  • CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
  • IP blocking: Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup

# Targeting British Airways reviews
url = "https://www.airlinequality.com/airline-reviews/british-airways/"
headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/119.0.0.0 Safari/537.36"
}

try:
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    soup = BeautifulSoup(response.content, 'html.parser')
    
    # Find all review containers
    reviews = soup.find_all('article', itemprop="review")
    
    for review in reviews:
        title = review.find('h2', class_='text_header').text.strip()
        rating = review.find('span', itemprop="ratingValue").text if review.find('span', itemprop="ratingValue") else "N/A"
        body = review.find('div', class_='text_content').text.strip()
        
        print(f"Title: {title} | Rating: {rating}")
        print(f"Review: {body[:100]}...
")
except Exception as e:
    print(f"Error: {e}")

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

  • Fastest execution (no browser overhead)
  • Lowest resource consumption
  • Easy to parallelize with asyncio
  • Great for APIs and static pages

Limitations

  • Cannot execute JavaScript
  • Fails on SPAs and dynamic content
  • May struggle with complex anti-bot systems

How to Scrape AirlineQuality (Skytrax) with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

# Targeting British Airways reviews
url = "https://www.airlinequality.com/airline-reviews/british-airways/"
headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/119.0.0.0 Safari/537.36"
}

try:
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    soup = BeautifulSoup(response.content, 'html.parser')
    
    # Find all review containers
    reviews = soup.find_all('article', itemprop="review")
    
    for review in reviews:
        title = review.find('h2', class_='text_header').text.strip()
        rating = review.find('span', itemprop="ratingValue").text if review.find('span', itemprop="ratingValue") else "N/A"
        body = review.find('div', class_='text_content').text.strip()
        
        print(f"Title: {title} | Rating: {rating}")
        print(f"Review: {body[:100]}...
")
except Exception as e:
    print(f"Error: {e}")
Python + Playwright
from playwright.sync_api import sync_playwright

def scrape_reviews():
    with sync_playwright() as p:
        # Launch browser to handle JS/Cloudflare
        browser = p.chromium.launch(headless=True)
        context = browser.new_context()
        page = context.new_page()
        
        # Navigate to target airline page
        page.goto("https://www.airlinequality.com/airline-reviews/british-airways/")
        
        # Wait for review articles to appear
        page.wait_for_selector('article[itemprop="review"]')
        
        reviews = page.locator('article[itemprop="review"]').all()
        for review in reviews:
            header = review.locator('.text_header').inner_text()
            text = review.locator('.text_content').inner_text()
            print(f"Processing: {header}")
            
        browser.close()

if __name__ == "__main__":
    scrape_reviews()
Python + Scrapy
import scrapy

class SkytraxSpider(scrapy.Spider):
    name = 'skytrax'
    start_urls = ['https://www.airlinequality.com/airline-reviews/british-airways/?pagesize=100']
    
    def parse(self, response):
        for review in response.css('article.review-stats'):
            yield {
                'title': review.css('h2.text_header::text').get(),
                'rating': review.css('span[itemprop="ratingValue"]::text').get(),
                'text': review.css('div.text_content::text').get(),
                'recommended': review.xpath("//td[contains(@class, 'review-rating-header') and text()='Recommended']/following-sibling::td/text()").get()
            }
        
        next_page = response.css('article.pagination li:last-child a::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)
Node.js + Puppeteer
const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  
  await page.goto('https://www.airlinequality.com/airline-reviews/british-airways/');
  
  const reviews = await page.evaluate(() => {
    const items = Array.from(document.querySelectorAll('article[itemprop="review"]'));
    return items.map(item => ({
      title: item.querySelector('.text_header')?.innerText,
      score: item.querySelector('span[itemprop="ratingValue"]')?.innerText,
      content: item.querySelector('.text_content')?.innerText
    }));
  });

  console.log(reviews);
  await browser.close();
})();

What You Can Do With AirlineQuality (Skytrax) Data

Explore practical applications and insights from AirlineQuality (Skytrax) data.

Aviation Competitive Benchmarking

Airlines can analyze competitor reviews to identify where rivals are outperforming them in service quality.

How to implement:

  1. 1Scrape reviews for the top 5 competitors in a specific region.
  2. 2Calculate mean ratings for 'Seat Comfort' and 'Cabin Staff'.
  3. 3Generate a gap analysis report for internal stakeholders.

Use Automatio to extract data from AirlineQuality (Skytrax) and build these applications without writing code.

What You Can Do With AirlineQuality (Skytrax) Data

  • Aviation Competitive Benchmarking

    Airlines can analyze competitor reviews to identify where rivals are outperforming them in service quality.

    1. Scrape reviews for the top 5 competitors in a specific region.
    2. Calculate mean ratings for 'Seat Comfort' and 'Cabin Staff'.
    3. Generate a gap analysis report for internal stakeholders.
  • Passenger Pain Point Identification

    Product designers can use review text to find common complaints about specific aircraft models.

    1. Scrape all reviews that mention a specific aircraft (e.g., 'Boeing 777').
    2. Perform keyword extraction for terms like 'cramped', 'legroom', or 'uncomfortable'.
    3. Map complaints to specific seat types (Economy vs Business).
  • Historical Performance Monitoring

    Investors can track an airline's reputation over time to predict future financial performance based on customer loyalty.

    1. Scrape historical reviews over a 3-year period.
    2. Aggregate the 'Recommended' percentage by quarter.
    3. Correlate the satisfaction score with the airline's stock price or revenue data.
  • B2B Lead Gen for Caterers

    In-flight catering companies can identify airlines with poor 'Food & Beverage' ratings to offer their services.

    1. Filter the dataset for airlines with food ratings below 3 stars.
    2. Extract the specific routes where food complaints are most frequent.
    3. Present the data to the airline's procurement team as a business case.
  • Travel Blog Content Generation

    Travel media sites can create automated 'Best/Worst' lists for airports and airlines based on recent verified data.

    1. Aggregate the monthly ratings for the top 50 international airports.
    2. Calculate the 'Most Improved' based on year-over-year rating changes.
    3. Publish data-driven rankings to drive organic traffic.
More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

AI Agents
Web Automation
Smart Workflows

Pro Tips for Scraping AirlineQuality (Skytrax)

Expert advice for successfully extracting data from AirlineQuality (Skytrax).

Add '?pagesize=100' to the URL to reduce the number of paginated requests needed.

Respect the 'Crawl-delay

5' in robots.txt; aggressive scraping will result in immediate IP banning.

To extract star ratings (1-5), count the number of span tags with the class 'star fill' within the rating table rows.

Use residential proxies to bypass Cloudflare verification challenges more effectively.

Sanitize the review text by splitting the string at the '|' symbol to remove the 'Trip Verified' status prefix.

Monitor the 'last-modified' headers to only scrape new reviews and save bandwidth.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About AirlineQuality (Skytrax)

Find answers to common questions about AirlineQuality (Skytrax)