Emirates sells the same seat at a different price in every country it sells from, and the fare brand decides what the price includes. We scrape Emirates fares and schedules with the storefront on every row.
We build and run the Emirates scraper and hand over the result. You choose the routes, the storefronts, the cabins, the departure date window and the refresh rate; the output arrives as CSV, JSON, XLSX or an API endpoint your systems call.
Anti-bot handling is part of the service. Proxy rotation, CAPTCHA solving and adaptive crawling sit on our side, and you never build or maintain that layer. We pace collection rather than hammering a booking engine, because every search costs the operator real work, and we stay on public pages. Nothing behind a Skywards login or a trade portal account is in scope.
Schema design, currency handling, deduplication and monitoring come with it. When a storefront changes we repair the crawler and the delivery keeps its shape, so nothing downstream breaks.
A stored fare row is only worth keeping if it stays comparable a month later. An Emirates scraper built for data buyers captures the whole record, not the headline number.
Scope stays public: fare, schedule and network only, no Skywards login, no passenger records, no personal data.
Three things separate an Emirates job from a low cost carrier.
The point of sale is part of the price. A quoted fare belongs to the country of departure, is payable there, and is shown in that country's money. The storefronts do not even agree on the footnote: one board prints fares inclusive of tax and surcharges, another as taxes, fees and carrier charges, a third only warns that peak surcharges may apply. Local rules sit on top: a card surcharge applies on departures from Turkiye, New Zealand and Australia, and the free 24 hour fare hold is barred on departures from Argentina, Brazil, Chile, Greece, Japan and Mexico. Collect one storefront and you have one market, not the airline.
The brand and the sub class carry the meaning. Special, Saver, Flex and Flex Plus run from the restricted end of the ladder to the flexible one. Special takes the smallest bag and pays for seat choice, while Saver can be upgraded only at online check in, between 48 and 6 hours before departure.
The Miles side is only half public. The rules are published: Classic Rewards sell at Saver and Flex Plus levels, Cash plus Miles is a sliding blend, Reward Upgrades go per cabin step, and Special fares cannot be upgraded at all. The numbers are not. Classic Rewards open only behind a Skywards login and upgrade Miles show up in Manage your booking, so redemption pricing is member data and we leave it alone.
One note on freshness: the lowest fare calendar is a cache gathered within the previous 48 hours, not a live quote, and the booking horizon runs 338 days out.
Emirates flies a hub network and the hub is Dubai. Every Emirates flight uses Terminal 3 at Dubai International, so a connection is a change of concourse rather than of airport, and most tickets are an inbound leg, a Dubai connection and an onward leg priced as one journey. Concourses A, B and C sit about thirty minutes apart, and a First Class passenger with under 90 minutes between flights is driven across airside instead.
The site is the carrier's own shop, not a marketplace, so the number on screen is the airline fare with no reseller margin behind it. The shop is cut by point of sale. There is a separate storefront for each country and language, each selling in the currency of the departure country, each with its own featured fares board and its own footnote about which taxes and carrier charges are already inside. Published route pages differ by market too: the global English storefront carries city pair pages for well over a hundred airports, while the British, American, Indian and German storefronts each publish a smaller and different set. The store index listed 170 country and language storefronts across 100 country codes and 24 languages in September 2026.
Around the booking engine sits a deep public layer built for search: a destination page per city, a route page per city pair with a seven day schedule grid, a Best Fare Finder calendar of lowest fares by date and by month, a featured fares board, a schedules tool keyed to the departure airport, flight status by route or flight number, seating charts per aircraft and cabin layout, and a published on time performance table. That layer is where Emirates data sits in the open, because the booking flow itself is session bound and closed to crawlers.
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Fare data from the operating airline answers questions a metasearch feed cannot. The price is the carrier's own, the brand is stated rather than inferred, and the conditions sit beside the number.
Revenue management teams at competing long haul carriers watch the Gulf hub city pairs and need the fare as it was offered on the day, with the brand and the advance purchase distance in the same row. A low number attached to Economy Special and a similar number attached to Economy Flex are different market signals.
Online travel agencies and metasearch products check their own screens against the airline shop, since the best price promise on emirates.com is written around finding the same itinerary cheaper elsewhere and refunding the gap.
Corporate travel managers and travel management companies test negotiated rates against the public Emirates price on the same route and date, with Business Saver kept apart from Business Special, because policy usually allows one and not the other.
Loyalty analysts and card issuers work the earn side, which is open: the Skywards Miles a route pays out by cabin, fare brand and tier, set against the cash fare for the same flight on the same date.
Route and network planners use the schedule layer: which city pairs are published, how many weekly frequencies a route carries, which aircraft and cabin layout is rostered against it, and what quietly changes when a season turns over.
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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 managed web scraping agency. We have built travel pipelines against airlines, metasearch engines and booking platforms, and we run them as a service instead of shipping you a tool to babysit. You describe the routes, the storefronts and the fields; we handle collection, maintenance and delivery, and clean Emirates data lands on the schedule you set. Pricing follows volume and refresh rate, and most teams open with a small paid pilot on a short list of city pairs.
No. There is no open, self service Emirates API that returns fares, award prices or schedules for arbitrary routes and dates, and no published feed aimed at developers. The trade side runs through the Emirates Partners portal, which is a login for accredited agents rather than a data product, and no public endpoint is documented for open use. In practice the public site is the source, which is what we collect, structure and deliver on your schedule.
Partly, and it is worth being precise. The earn side is public: the Miles a given route, airline, cabin and tier pays out, plus the published tier thresholds and bonus rates. The redemption side is not. Classic Rewards can only be searched after logging in to a Skywards account, and the Miles needed for an upgrade appear inside Manage your booking. We do not log in, so we deliver cash fares, brands and earn rates, and we do not invent award prices that the site never shows in the open.
Any of them. The site publishes a separate storefront per country and language, each selling in the currency of the departure country, with its own featured fares, its own tax disclosure and its own set of published route pages. Tell us which points of sale matter and we run the same city pairs through each one, tagging every row with the storefront and the currency it came from, so the spread between markets shows up in a single table rather than in five incompatible exports.
Cadence is yours to set: hourly on a short list of priority city pairs, daily across a wider route set, weekly for schedule and network tracking. Volume is a question of pacing rather than a hard ceiling, because we spread searches over time instead of bursting them. The booking horizon runs 338 days ahead, so a full curve on one route is a long series; most teams start with a departure date window and widen it once the pipeline has proven itself.
Delivery is CSV, JSON, XLSX or an API endpoint, pushed to cloud storage, an FTP target or a webhook on the schedule you set, with a fixed schema so downstream jobs stay stable. We gather public fare, schedule, baggage and network information. We do not log in, so member only prices, tier specific offers and anything inside a Skywards account stay out of scope, and no passenger, booking or personal data is collected at any point. Freight is a separate job: it lives on the Emirates SkyCargo site with its own product list and tracking tools, and we can add it as a second source.
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.
Scrapeit Sp. z o.o.
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