AAdvantage Hotels prices every room twice: in dollars and in the miles the stay earns. Our AAdvantage Hotels scraper returns both for the dates you search.
Plans from €169/month · Free project assessment · Reply within 1 business day
The request is a list: destinations, check-in dates, lengths of stay and party sizes. We convert it into searches, build and run the crawler, and hand back a table in which each hotel carries its price and its miles for exactly those dates. AAdvantage Hotels assembles its result pages with scripts and attaches a search session to every address, so rendering, pacing, proxy rotation and CAPTCHA handling come with the service, as does the repair when the layout changes.
Extracts are delivered once or on a schedule - daily, weekly, on demand - as CSV, XLSX, JSON or JSONLines, through our API, to Amazon S3, by SFTP or into your database. Field documentation is included, the first assessment of the project is free, and a sample can be ordered.
Our AAdvantage Hotels scraper searches each destination and pair of dates on your list and returns one row per hotel, or per room offer when the hotel page is in scope. What sets these rows apart is that the reward stands next to the price, for two kinds of member at once, before anyone signs in.
The site advertises miles and Loyalty Points; the cards print miles. The offer a signed-in member would see is tied to an account and is not part of the dataset.
One search answers one question. An AAdvantage Hotels price tracker is that search repeated, and three things move between runs.
Coverage is planned from the filters, which carry counts: property type, neighborhood, star rating, guest rating, payment options, bed type, distance to center, nearby attractions and popular hotel brands. Cutting a large city by neighborhood or star rating and merging on hotel id keeps a long list complete, and the counts themselves describe the supply.
Earn miles and Redeem miles are separate searches over the same hotels; we run either or both.
AAdvantage Hotels is the hotel booking site of the American Airlines AAdvantage program. It is owned and operated by Rocket Travel, Inc., part of the Booking Holdings group, while American Airlines supplies the currency: miles. Anyone can search and book - the site states that no AAdvantage membership is required - and members sign in to have miles and Loyalty Points credited or to pay with miles.
For a data buyer the structure is plain. A search takes a destination - a city, a region or a landmark - a check-in and check-out date and the number of guests and rooms. The result list states how many properties match and is split into pages; each card opens a hotel page whose address is built from the name of the hotel and its city, with the check-in date and length of stay as parameters. Hotel pages are divided into Overview, Rooms, Facilities, Location and Policies.
The reward layer is what makes the site its own. Every card prints two earn figures, and the home page promises status members and credit cardmembers up to five times more miles and Loyalty Points, and cardmembers with status up to ten times more.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →A hotel on AAdvantage Hotels has two prices: dollars out and miles back. Most rate-shopping data records only the first. Collected together, they answer questions neither answers alone.
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If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
ScrapeIt is a data extraction agency: you describe the dataset, our engineers write the crawler, operate it and keep it working. Loyalty booking sites such as AAdvantage Hotels tie every figure to a search, so the craft lies in running searches reliably and keeping price and reward in the same row. We read only what a guest sees before signing in, and personal data is handled under GDPR. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Yes. The ScrapeIt AAdvantage Hotels API returns hotel name, hotel id, check-in date, the total including taxes and fees, miles per stay for both member types and guest rating as JSON from an endpoint we host, with access by key, updated as often as you schedule it. The same rows are also delivered as CSV or XLSX files, as a JSON feed or loaded into your database.
Yes. The hotel list, the price for the searched dates and the miles a stay earns are shown to any visitor, and no membership is needed to search. We collect only publicly available data - everything a visitor can see on AAdvantage Hotels - and we collect it legally. Member accounts, mile balances and bookings are behind a login and are not collected.
The site prints the answer on every card: one figure for an AAdvantage member and a higher one for credit cardmembers with status, and both vary by hotel, dates and room offer. We store each figure in its own column beside the price, so miles per dollar can be calculated for any stay. What a particular signed-in member would be offered is not public and is not collected.
Yes. Each row holds the total including taxes and fees for a named hotel, check-in date and length of stay, which is the figure to set against the total quoted elsewhere. For a fair comparison both sides should be collected on the same day for the same dates and occupancy, and we can schedule them together.
Yes. Result cards carry the guest rating out of ten, its label and the review count, and hotel pages add scores by category and the number of verified reviews behind them. Review texts can be collected as well; names of reviewers are personal data and are left out by default.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
AAdvantage Hotels data from €169/month. Free project assessment, reply within 1 business day.
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