Scrape Agoda & Travel Aggregators: A No-Code Guide

Agoda is one of the busiest booking platforms out there, listing hotels, apartments, and vacation rentals across most of the world. Behind its search box sits a well-organized dataset: prices, ratings, amenities, availability, and property details that update constantly. If you run a travel business, manage a property, or just want to compare the market at scale, that public data is genuinely useful, and you don't need to write code to collect it.

This guide walks through a no-code approach to gathering public listing data from Agoda (and comparable aggregators) using Octoparse, then covers how to route your requests through proxies so a large collection job runs smoothly without hammering a single IP. Throughout, the focus stays on publicly visible information and on respecting each platform's terms of service.

What Kind of Data Lives on Agoda

Aggregators are appealing to work with because the same fields repeat across thousands of listings, which makes structured extraction straightforward. The public data points people most often collect include:

• Property names (hotels, apartments, rentals)

• Nightly and total pricing, plus visible discounts

• Guest ratings and review counts

• Accommodation descriptions and room types

• Listed facilities and amenities

• Location and map coordinates

• Real-time availability windows

• Property photos and thumbnails

Collecting publicly accessible information is broadly treated as legitimate in several jurisdictions, as reflected in cases like the long-running hiQ Labs v. LinkedIn dispute. That said, the law is nuanced and varies by region. Before you start, read the site's terms of service, avoid collecting personal data you don't have a lawful basis to process, and keep your request volume reasonable. Ethical scraping means taking public data, not overloading a service or scraping behind a login you don't own.

Who Actually Uses This Data

The value depends entirely on your goal, and there are plenty of legitimate ones:

• Hoteliers and property managers tracking how their own listings appear, monitoring reviews, and benchmarking against comparable properties.

• Travel businesses and analysts studying regional pricing trends, seasonality, and demand to inform their own offerings.

• Market researchers aggregating public availability and amenity data across a destination.

• Frequent travelers comparing options systematically instead of clicking through page after page by hand.

Scraping Agoda With Octoparse, Step by Step

Octoparse is a visual scraping tool that runs on Windows and macOS. You point it at a page, click the elements you want, and it builds an extraction workflow for you. It has a free tier that's fine for smaller jobs, and paid plans for heavier use. If you'd rather compare tools first, our overview of no-code web scrapers is a good starting point.

1. Create a new task. In Octoparse, choose + New, then Custom Task. Paste the exact Agoda URL you want to work with, for example a search results page for a specific city and date range, or an individual property page. Click Save.

2. Select the fields to extract. Let the page finish loading, then click on the data you care about, such as property names, prices, and ratings. Octoparse detects similar elements and suggests a pattern. Refine the selection, set up pagination so it walks through multiple result pages, and add loops where needed. For tricky layouts you can target elements precisely with XPath. When your fields look right, click Run.

3. Pick a run mode. For smaller jobs or the free tier, Standard Mode running locally on your machine is usually enough. Cloud runs are available on paid plans if you need scale or scheduling.

4. Export the results. Once the run finishes, click Export Data. Clean it up if needed (deduplicate, trim empty rows) and export to Excel (XLSX), CSV, JSON, or a database.

5. Put the data to work. With everything in a tidy spreadsheet or feed, it's ready for analysis, comparison dashboards, or integration into your own tools.

Why Proxies Matter for Large Jobs

Aggregators serve a lot of traffic, and they rate-limit clients that send bursts of requests from a single IP to protect their infrastructure. If you're collecting a few hundred listings across many pages, a single address will hit those limits quickly and your job will stall.

A proxy server routes your requests through different IP addresses, which lets you spread a legitimate collection job across many connections and geographies instead of concentrating everything on one. Rotating residential IPs also make it easy to see region-specific pricing, since Agoda often shows different offers depending on where the visitor appears to be located. The point is reliability and accurate regional data, not disguising your activity: keep your volume sensible and honor the site's rules.

Configuring Proxies Inside Octoparse

Octoparse supports your own proxy list, so you can plug in credentials from a provider like Evomi:

1. While creating or editing a task, open the task Settings (usually near the URL input).

2. Find the anti-blocking / proxy section.

3. Enable the option to access websites via proxies.

4. Select Use my own proxies and open the configuration panel.

5. Set a rotation interval (how often the IP changes) and paste your proxy list. The usual formats are host:port or host:port:username:password.

6. Save the settings. Octoparse now routes its requests through the proxies you supplied.

Before you run a big job, it's worth confirming your proxies actually work and geolocate where you expect. Our free proxy tester and IP geolocation checker take a few seconds and save a lot of debugging later.

Choosing the Right Proxy Type

Not all proxies behave the same, and the wrong type will cost you time. Here's how the main options compare for a job like this:

Residential proxies are the usual pick for travel aggregators because they carry IPs assigned to real households, which is exactly what you want when you're checking how prices differ by country. Evomi's residential pool is ethically sourced, Swiss-based, and covered by a free trial so you can test it against your workflow before committing. If your target is more forgiving and you mainly care about throughput, datacenter proxies are cheaper and faster.

Scaling Beyond No-Code

Octoparse is a great fit for one-off jobs and moderate volumes. Once you need scheduled runs, custom parsing, or heavy pagination, a scripted approach gives you more control. The same principles carry over to code, and we cover them in detail for other platforms, for example collecting eBay data with Python and proxies and a similar no-code approach to Expedia deals. For fully managed headless browsing at scale, Evomi's Scraping Browser handles JavaScript-heavy pages and proxy rotation for you over a single endpoint.

Whichever route you take, the recipe is the same: pick a tool that matches your volume, pair it with reliable proxies, keep your request rate polite, and only collect public data in line with each platform's terms.