Ryanair Fare Scraper — Explore & Timetable · $0.85/1k

What does Ryanair Fare Scraper do?

Scrape Ryanair flight fares into a clean Apify dataset — one-way, round-trip, explore mode, and optional full timetable. Give an origin (and optional destination) plus a flexible date window and get price, currency, flight number, schedule, airports, and booking links.

Dashboards: connect Power BI, Tableau, Looker Studio, or Qlik to the dataset API — see Export to Power BI, Tableau, Looker Studio & Qlik near the end. AI agents: paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

Works via Ryanair’s public fare / timetable endpoints. Export JSON or CSV, run on a schedule, call via API / MCP, or pipe into other Actors.

Also scraping Wizz Air? Pair with the Wizz Air Routes & Fare Calendar Scraper for day-by-day calendar prices and route-map rows — Ryanair here covers Explore mode, round-trip, and per-flight timetable rows.

Why use this Ryanair scraper?

• ✈️ Cheapest one-way fares across a flexible date window
• 🛫 All flights per day (allFlights) — timetable rows with the day’s cheapest fare attached
• 🔁 Round-trip — outbound + inbound windows with combined totals
• 🌍 Explore mode — leave destination empty; cheapest fare to every destination from an origin
• 🔗 Booking deep-links with your passenger mix
• ⚙️ Input keys match common Store Actors — migrate by swapping the Actor ID

What data can you extract from Ryanair?

Field group	Examples
Price	price, currency, totalPrice (round-trip)
Flight	flightNumber, carrierCode, departureDate, arrivalDate, durationMinutes
Airports	fromCode / toCode, names, city, country
Booking	bookingUrl

Use cases

Who	What they build
Travel apps / OTAs	Live Ryanair fare feeds and alerts
Price monitoring	Track a route’s cheapest fare over time
Deals / content sites	“Cheapest flights from {city}” via Explore
Data teams	Structured LCC fare rows for dashboards

How to scrape Ryanair fares

1. Open this Actor in Apify Console.
2. Set origin (IATA, e.g. BUD or DUB,STN).
3. Optional: destination, date windows, tripType, allFlights, currency, market.
4. Leave destination empty for Explore mode.
5. Start the run; export the dataset or pull it via API.

How much does it cost to scrape Ryanair?

Pay per event (PPE): you pay for Actor start + each fare result row. Platform compute is included in the event price. On Free, results are about $0.85 / 1,000; paid plans are lower (see the Pricing tab). Cap spend with maxResults.

Input

Parameter	Notes
origin	Required. IATA; comma-separate for several
destination	Optional; empty = Explore
tripType	oneWay (default) or roundTrip
allFlights	Full timetable for fixed one-way routes
departDateFrom / departDateTo	Outbound window (YYYY-MM-DD)
returnDateFrom / returnDateTo	Round-trip inbound window
currency, market	e.g. EUR, en-gb
maxPrice, sortBy, maxResults	Filters and caps
proxyConfiguration	Optional Apify Proxy for large multi-route runs

Sample output

{
  "tripType": "oneWay",
  "carrierCode": "FR",
  "carrierName": "Ryanair",
  "price": 53.75,
  "currency": "EUR",
  "flightNumber": "FR3591",
  "fromCode": "BUD",
  "toCode": "STN",
  "departureDate": "2026-09-10T09:35:00",
  "bookingUrl": "https://www.ryanair.com/..."
}

FAQ

Do I need a Ryanair account or proxy?

No account. Proxy is optional; enable Apify Proxy for very large multi-route windows.

Why only one flight per day?

Default mode returns each day’s cheapest fare. Set allFlights: true for every scheduled departure (day’s cheapest fare still attached).

Is scraping Ryanair fares legal?

This Actor reads public fare facts only.

Can I run this from Python, JS, or an AI agent?

Yes — Apify API, official clients, CLI, or Apify MCP.

Need Wizz Air fares too?

Use Wizz Air Routes & Fare Calendar Scraper for priced day calendars and hub route maps. Ryanair + Wizz together cover the two largest European LCCs with complementary row shapes (per-fare vs per-day calendar).

Related Actors

Actor	Use together when…
Wizz Air Routes & Fare Calendar Scraper	You need Wizz day-price calendars, route maps, or hub-wide dumps alongside Ryanair fares
Ryanair Fare Scraper	(this Actor) — Explore mode, round-trip, timetable (allFlights)

More scrapers: bakos_bence on Apify — Just Eat restaurants, Shopify, Chrono24, eMAG.

For AI agents & LLM apps

Paste this Actor’s Apify Store URL into an agent that can use Apify (MCP, Claude, Cursor, etc.). With an Apify account and API token, the agent can set input, run the Actor, and fetch the dataset.

Actor ID: bakos_bence/ryanair-fares

Purpose: Scrape Ryanair public fares — cheapest one-way / round-trip by route and date window, Explore (origin only), or full timetable (allFlights).

Minimal input:

{ "origin": "DUB", "destination": "STN", "maxResults": 50 }

Explore: omit destination. Round-trip: "tripType": "roundTrip" plus return dates.

Output: one dataset row per fare (or timetable flight). Key fields: tripType, price, currency, flightNumber, fromCode, toCode, departureDate, bookingUrl.

Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify dataset. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a CSV URL that refreshes when you scrape again.

Prefer the token in the URL (token=) — most tools only need “open this link as CSV”, with no custom headers.

Build a refreshable CSV URL

1. In Apify Console, open Settings → Integrations and copy an API token.
2. Save this Actor as a Task (optional but best for dashboards), run or schedule it once so there is a successful run.
3. Use the latest successful task run URL (replace TASK_ID and YOUR_TOKEN):

https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN

Or, from any finished run, open the Dataset tab, copy the dataset ID, and use:

https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the actor-tasks/…/runs/last/… form so refresh always hits the newest successful scrape.

Power BI

1. Open Power BI Desktop → Home → Get data → Web.
2. Paste the CSV URL (including token=).
3. When asked how to sign in, choose Anonymous → Connect.
4. Confirm the preview is a table (CSV). Load or Transform data as needed.
5. Publish / schedule refresh in the Power BI service using the same URL (task runs/last keeps it current after each scrape).

401: token missing/wrong, or you did not pick Anonymous.

Tableau

1. Install Tableau’s REST API connector from Tableau Exchange (Desktop 2023.3+).
2. Connect → To a Server → REST API.
3. Paste the CSV URL (including token=). Set response format to CSV.
4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
5. Create an extract. Refresh the extract after scheduled Task runs (or point at runs/last so each refresh loads the latest success).

Plain Text file connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

1. Create a Google Sheet. In A1 enter:

=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")

2. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
3. In Looker Studio → Create → Report → Google Sheets → select that spreadsheet / tab.
4. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio File upload.

Qlik

REST connector (refreshable):

1. In Qlik Cloud / Qlik Sense → Add data → REST (or create a REST connection in the Data load editor).
2. URL = the CSV URL including token=. Method GET.
3. Set the expected response type to CSV (or use format=json and JSON mode).
4. Test connection, pick the table, Add / Load.
5. Reload the app after scheduled scrapes; with runs/last, each reload pulls the latest successful dataset.

Files: Dataset tab → download CSV → Add data → upload the file (fine for a single snapshot).

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