Question 1

What Is Travel Fare Aggregation?

Accepted Answer

Travel Fare Aggregation involves collecting fare data from various sources and presenting it in one place. It is often done through a website or an online platform that holds information about most options that are associated with travel, such as car rentals, flights, hotels, transportation, etc.

You might have a question: Why is Travel Fare Aggregation necessary? It is to simplify decision-making for travelers. Instead of manually checking individual providers, a traveler can benefit from the aggregated results to find the best deals available at that moment.

“According to Hilton, 80% of travelers say booking entirely online is essential, with millennials and Gen Z leading in the rate of adoption”. This shift highlights how most online bookings now happen through apps and websites that aggregate travel fare data.

The best part about travel fare aggregation is that the data is organized and shown in a user-friendly way, often with filters and sort options. Looking at the technical side, travel fare aggregation involves automated tools that collect travel fare data in real time.

Question 2

Why Travel Fare Aggregators Rely on Accurate and Real-Time Data?

Accepted Answer

Travel data always fluctuates. Factors like demand, seasons, promotions, and even browsing behavior can trigger price changes. Hence, having access to real-time and accurate data is essential. The majority of travelers who use travel fare aggregators expect to see the best available prices. It would turn into a problem when critical data like travel fares are outdated or incorrect. To get over this and stay competitive, aggregators always collect accurate data from various sources, including websites with location-specific pricing or limited availability. But how is it possible? With severe scraping restrictions and frequent flags, how can it be done? This is where proxies come into play, helping aggregators collect and update information across multiple sources without being blocked or restricted.

Question 3

How Proxies Work in Travel Fare Aggregation?

Accepted Answer

Usually, requests are sent through your device to the travel website, which reveals the IP address that contains your information. In this scenario, you can use a proxy to change the IP to appear as a regular visitor from a different location. This is achieved by routing requests through a proxy server. How is it beneficial from travel fare aggregation? It is simple, most travel websites often display different prices based on user location, browsing behavior, and even request volume. To get the best deals, scrapers rely on proxies to rotate IP addresses, avoid detection, and collect data from multiple sources in real-time.

Question 4

How Proxies Enhance Travel Fare Aggregation?

Accepted Answer

Proxies do more than just mask your IP, they unblock various benefits, making them suitable for travel fare aggregation. Here’s why.  1. Simulate location-specific access to uncover regional fare differences. 2. Avoid IP bans by rotating addresses during continuous data collection. 3. Scrape multiple travel sites simultaneously without triggering blocks. 4. Access geo-restricted fares that are only visible in select regions. 5. Pull live pricing more frequently without hitting request limits. 6. Reduce scraping errors caused by dynamic pricing and rate throttling. 7. Bypass price discrimination by comparing how fares change based on user location. However, there’s a catch. Not all proxies are suitable for this purpose. We recommend knowing about the proxy before proceeding with aggregating travel fares.

Question 5

Which Proxy Types Are Best for Travel Fare Aggregation?

Accepted Answer

Rotating Residential Proxies Residential proxies are the best pick for travel fare aggregation as they use real IP addresses tied to households. It is important to prefer rotating residential proxies, as each request is sent from a different IP—fewer blocks, easier scaling, better coverage, and reliability. Mobile Proxies As the name suggests, mobile proxies use IPs from mobile devices (3G, 4G, or 5G networks). They are great for accessing mobile-specific travel deals or testing mobile versions of websites. While flexible and authentic, these are usually expensive. Note: You can also use static proxies like datacenter or ISP proxies, but they maintain the same IP address over time. While they are faster and affordable, they are more likely to be flagged on stricter travel websites. We recommend you use them only for scraping less sensitive targets.

Question 6

How to Set Up a Proxy for Travel Fare Aggregation?

Accepted Answer

Setting up a proxy for travel fare aggregation varies depending on the tool and proxy provider you use. However, it doesn’t have to be complicated, so we have included steps below to help you get started.  Step 1: Choose the Right Proxy Provider It is always important to choose proxies from the right proxy prover, as the wrong ones can lead to undesirable outcomes. This isn’t just applicable to travel fare aggregation but also to various tasks such as web scraping, geo-restriction bypass, SEO monitoring, etc., where proxies play a crucial role. With Ping Proxies, you’re all covered. We offer you ethically sourced proxies with global coverage (195+ countries). Plus, with an uptime of 99.9%, low latency, and an intuitive dashboard, we complete your travel fare aggregator setup, regardless of its size.  Step 2: Select the Suitable Proxy Type for Your Use Case Rotating residential and mobile proxies are the best fit for travel fare aggregation. However, as said before, it is important to choose the right proxy type while aggregating travel fares. If you’re still unsure, follow the below example and its breakdown of selecting a proxy type. Example: Let’s say you’re collecting flight prices between New York and London from three different airline websites, updated every 30 minutes. Your goal is to track fare changes for economy and business class tickets in real time across both desktop and mobile views. Here’s how you break it down: Frequency of scraping: Every 30 minutes means frequent requests. You’ll need a proxy setup that can rotate IPs consistently without hitting rate limits. In this scenario, use rotating proxies to avoid blocks from sending repeated traffic to the same site. Geo-targeting requirements: You want to simulate searches from both New York and London to compare local pricing. It's important to prefer residential proxies with city-level targeting in both locations. Target platform variation: If an airline offers mobile-only discounts, you should be able to monitor them. We recommend mobile proxies to simulate smartphone traffic and capture hidden deals. Scraping intensity and stability: If any of the airline sites aren’t strict and the data aggregating doesn’t change frequently, a static residential or even ISP proxy can be a cost-effective alternative. Step 3: Configure Your Scraper or Aggregation Tool Once you have finalized your proxy provider and the proxy type, it’s time to plug them into your aggregation setup. Integrating proxies into most tools is straightforward. It can be done through dashboard settings, configuration files, or API keys. Efficient travel fare aggregation happens when you’re clear about what you need. It is the data you’re collecting (e.g., route, price, timestamp), how often you want it, and how it’ll be formatted (JSON, CSV, etc.). Above all, the output is what matters in the end. The more consistent and consistent your output format is, the easier it is to feed into the front end, database, or price comparison logic. For all this to happen, you also need the right tools that go well with proxies. Best Tools and Services for Aggregating Travel Fares with Proxies Travel Fare Aggregation can be done in different ways, depending on your capabilities (technical and non-technical). To help you choose the right tool, we listed the tools commonly used with proxy to aggregate travel fares. No-Code Tools (Non-technical): Octoparse, ParseHub, Smartproxy Browser Extension, Bright Data Scraper Developer Tools & Frameworks (Completely Technical): Scrapy, Playwright, BeautifulSoup, Selenium or Puppeteer Cloud-Based Platforms (Slightly Technical): Apify, Oxylabs, ScrapingBee, WebScraper.io, etc Pro Tip: You can also use APIs to get pre-aggregated data, reducing the need for direct scraping. The best ones for aggregating traffic fares are the Skyscanner API and the Amadeus Travel API. Step 4: Test for Accuracy and IP Rotation Before running your scraper at full capacity, it’s essential to test that your proxies are functioning properly. You want to verify three crucial things: > That your proxy IPs are rotating as expected > That the region-specific fares are loading correctly > That there are no response errors or bans While the aggregation tools can be used to simulate or perform a test run, they often consume resources or cause flags due to a lack of proper configuration. In such a scenario, using a proxy tester can be beneficial, even though it isn’t a complete solution. With Ping Proxies proxy tester, you can test any proxy against real target URLs like airline and hotel sites, and check for success, latency, and location accuracy. Plus, you can bulk-test your proxy pool, view results by region, and even generate a shareable link to validate performance with your team or clients. Step 5: Monitor and Scale Based on Data Volume Once you start aggregating travel fares, never forget to monitor the pipeline. Make sure your scraper or tool provides request logs, error tracking, and timestamp-based exports. Doing this is crucial as you identify various and take action. Based on your analysis, begin scaling proxies. Using Ping Proxies, you can scale your proxy pool directly from the dashboard or dynamically via API. Plus, make sure to enable scheduling or webhook-based flows if your tool has any. This way, you can automate updates, track changes over time, and reduce the need for manual reconfiguration

Question 7

Challenges and Best Practices when Aggregating Travel Fares with Proxies

Accepted Answer

While proxies do a great job at aggregating travel fares, there is a high possibility that you might face challenges, often when you do everything manually. Don’t worry, following the best practices can get you around them. Dynamic Pricing Based on IP & Location: Use geo-targeted residential or mobile proxies to simulate users from specific regions and get location-accurate fare data. Blocked or Throttled by Travel Sites: Deploy a rotating proxy pool with smart session management to prevent rate limiting and IP bans. Unstable Data Due to Anti-Bot Systems: Avoid scraping patterns that mimic bots (e.g., high-speed requests); use proxies with real-user fingerprints and human-like behavior. Duplicate or Incomplete Fare Results: Regularly validate and deduplicate scraped data using fare IDs or route metadata. Implement proxy-level monitoring to catch incomplete responses. Site-Specific Proxy Sensitivity: Avoid one-size-fits-all proxy strategies; test and assign different proxy types based on how strict each airline or OTA site is. Legal Risks and Grey Zones in Proxy Use: Scrape publicly accessible data only. To stay within ethical boundaries, avoid login-protected content and comply with robots.txt or ToS when possible.

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