easyJet quotes one fare per flight and sells everything else separately. We extract easyJet prices, bag and seat charges, route seasons and flight status, on the cadence you set.
easyJet keeps automated clients off large parts of its site, and the pages that do answer build their prices in the browser, so the fare is never sitting in the page text waiting to be read. That is exactly the work we take on: anti-bot handling, proxy rotation and CAPTCHA solving, plus one pass per storefront so every row carries the market and currency it was really quoted in. We build the easyJet scraper, run it on your cadence, watch it and repair it when the site shifts. Delivery is CSV, JSON, XLSX or an API endpoint, with a documented schema and one row per route, date and observation. We pace collection rather than hammering a booking engine, and we keep to public pages. A paid sample comes before any larger commitment.
Every easyJet price is bound to the question behind it, so each row carries origin, destination, departure date, storefront and currency. Hold those steady and repeated passes stack into a fare curve.
What the site does not publish we do not invent. Seat counts, load factors and punctuality are nowhere on the public pages, anything behind a booking reference is out of scope, and we gather nothing personal.
Point of sale is part of the record, not a display preference. easyJet runs seventeen language storefronts under one domain, from /en, /fr, /de and /it through /ch-de and /ch-fr to /ca, /el, /tr and /il, and the quoting currency follows the storefront rather than the visitor. The same Gatwick to Amsterdam departure on the same date comes back in pounds on the English site and in euros on the Italian one, and the paired return figure sits above the outbound number in one currency and below it in the other. Ten currency codes are configured in all, including the airline's own legacy code for the Czech koruna.
The search layer is not built evenly either. Localised route landing pages exist in twelve storefronts under eleven path words - cheap-flights, voli-low-cost, billigfluege, vols-pas-chers, goedkope-vluchten, vuelos-baratos, billige-flybilletter, guenstige-fluege, voos-baratos, levne-lety and olcso-jaratok - while the remaining storefronts carry only policy and terms pages. That alone forces a market by market pass.
easyJet holidays is a separate vertical with its own address tree shaped country, region, resort, hotel, and its own sitemap. As of September 2026 the English holidays map currently lists 11,336 hotel pages across 30 countries, 133 regions and 983 resorts, and holidays maps exist for only five storefronts. Flight status sits somewhere else again, on a tracker page per flight number under the EZY code, currently 3,643 of them in the English map.
easyJet Airline Company Limited flies short haul, point to point, and sells nearly all of its seats itself through easyjet.com and its own app. On its own pages a flight on a given date carries a single Standard fare at any one moment, with no fare grid to compare and nobody reselling the same seat alongside it, and that number moves as the aircraft fills. The airline sets out the mechanism in its own help pages: seats go first come, first served, fares tend to rise as more are sold, and they can fall again when demand comes in softer than planned.
The trade channel is a different shop selling different products. Through approved aggregators and GDS partners easyJet publishes named fares and bundles with booking class letters - Light (Y), Inclusive (B), Extra (K), Smart+ (H) and Inclusive Plus (W) - and it states outright that Inclusive and Inclusive Plus are never sold on easyjet.com or the app. A figure taken from the website and a figure taken from an agency screen are therefore two different products even when the flight number matches. Amadeus, Sabre, Travelport, Duffel, Travelfusion, Kyte, Paxport, Peakwork, Bewotec, Traveltek, Anaxys, JFA Systems and Ypsilon are the channels the airline names, each with its own tick list of which extras it can actually sell.
Wrapped around the booking funnel is a public layer that is a dataset in itself: a route landing page per city pair, an airport page per station, country and destination pages, a Low Fare Finder and a tracker page for every flight number the airline files. That layer is where an easyJet scraper does most of its work, and it is what this page is about.
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Pricing teams at other carriers watch easyJet prices because a low cost fare is the floor a short haul market prices against. A single pass tells you today's number. A daily pass against a fixed list of routes and dates tells you how fast the aircraft is filling, which is the thing the number is really reporting, and it shows the step up as the departure date closes in.
Airports, tourist boards and route development teams read the route feed instead of the fares. Start and end dates on every city pair make a seasonal network legible: which base picked up a winter route, which summer pair ends in October, which connection appeared between two passes and which one is no longer offered. None of that has to wait for a press release.
Travel agencies and tour operators compare the web number with what their own approved channel quotes them, because the two product sets differ by design and the gap is a margin question. Package firms use the fare calendar to cost a departure window before committing hotel stock. Corporate travel managers check whether a negotiated deal still beats the open fare. Consumer sites and researchers use the same feed to answer when a route is cheapest, and only a year of dated observations can answer that.
All of it breaks with a single snapshot. The value sits in the series: same route, same storefront, same time of day, collected again and again until the shape of the curve is visible.
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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. You name the routes, dates, storefronts and refresh rate; we write the crawler, run it on schedule, monitor it and fix it when the target moves. There is nothing to install and nothing to maintain on your side. You get documented output in the format you asked for, stable column names, and a named contact who knows the project. We also tell you what is collectable and what is not before you commit to anything.
Not a self serve one. easyJet publishes no developer portal, no open key and no public fare feed. The only API access is contractual: a reseller either books through an Approved Channel that already holds an API agreement, such as Amadeus, Sabre, Travelport, Duffel or Travelfusion, or signs a Direct API Agreement with the airline. Both exist to sell seats rather than to hand over a dataset, and the trade channel carries fares the website never shows. If you want easyJet price data to analyse rather than inventory to resell, collecting the public pages is the practical route.
We extract what the public pages show: route pairs with their on sale start and end dates, the lowest fare for each operating day with flight number and local departure and arrival times, cabin and hold bag charges with their size and weight bands, seat charges by seat type, change, name change and cancellation fees, the tax line per departing country, airport detail with IATA and group codes, and live flight status. Seat inventory, load factors, historical punctuality and anything behind a booking reference or an account are not published, so we do not supply them, and we collect no personal data about passengers.
Daily is the usual answer for a fare curve, because that is the resolution at which an aircraft filling up becomes visible. Hourly earns its keep in a tight window, such as a sale or the final weeks before departure, and weekly is enough for a network survey where the route list matters more than the number. We agree a fixed grid of routes, dates and storefronts first, then hold it steady, spread the load across the day and keep the request rate low, so the series stays comparable and the collection stays quiet.
Yes, and on this airline it matters more than usual. Currency is bound to the storefront, so the English site answers in pounds and the Italian one in euros for the identical flight and date, and localised route pages exist in only twelve of the seventeen language storefronts. We run each storefront as its own pass and stamp every row with the storefront, language and currency it came from, so a cross market table compares like with like instead of a conversion artefact. We do not disguise location to reach a market we are not entitled to see.
Delivery is CSV, JSON, XLSX or a REST endpoint on your schedule, with a documented schema and stable column names. On the legal side, be clear eyed. The easyJet Acceptable Use Policy and the easyJet Distribution Charter both name screen scraping and automated extraction as prohibited, and the Charter adds that those restrictions apply only to the extent permitted by law. We take publicly visible pages only, we do not log in, we defeat no access control and we gather nothing personal. Take your own legal advice for your jurisdiction and intended use, and we will scope the collection to whatever that advice allows.
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.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
