Wizz Air Fare Calendar — Day Prices & Links · $1.15/1k

What does Wizz Air Fare Scraper do?

Scrape Wizz Air day-by-day fare calendar prices into a clean Apify dataset. Set origin (and optional destination), choose a date window, and get priced calendar days with price, currency, airports, and booking links — memo23/wizzair-scraper compatible fields.

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.

Export JSON or CSV, run on a schedule, call via API / MCP, or pipe into other Actors.

Also scraping Ryanair? Pair with the Ryanair Fare Scraper.

Why use this Wizz Air scraper?

• 📅 Fare calendar — priced day per route (fromCode, toCode, date, price, currency, bookingUrl)
• 🔗 Drop-in input shape close to memo23 (origin / destination / date window / pax / maxPrice)
• 🛡️ Public fare surfaces — calendar prices ready for monitoring, deals pages, and exports

How to scrape Wizz Air fares

1. Open this Actor in Apify Console.
2. Set Origin (e.g. BUD); optional Destination (e.g. LTN — empty = all outbound).
3. Set Outbound date from / to (defaults: tomorrow → +30 days).
4. Start the run; export the dataset or pull via API. Use the Fare calendar view.

Single route:

{
  "origin": "BUD",
  "destination": "LTN",
  "tripType": "oneWay",
  "departDateFrom": "2026-08-26",
  "departDateTo": "2026-09-24",
  "maxResults": 1000,
  "proxyConfiguration": { "useApifyProxy": true }
}

Hub-wide calendar: omit destination, raise maxResults (e.g. 20000–50000).

Input

Parameter	Notes
origin	Required. Hub IATA; comma-separate for several
destination	Optional. One or more IATA codes; empty = all outbound from origin
tripType	oneWay (default) or roundTrip
departDateFrom / departDateTo	Outbound window (YYYY-MM-DD)
returnDateFrom / returnDateTo	Return window (round-trip)
maxPrice	Optional price cap
sortBy	sourceOrder, cheapest, earliestDate
adults / children	Booking deep-link pax
dayInterval	Calendar slide width (default 9)
maxResults	Row cap (default 1000)
proxyConfiguration	Apify Proxy recommended for large runs

Sample output

{
  "airline": "Wizz Air",
  "carrierCode": "W6",
  "direction": "outbound",
  "fromCode": "BUD",
  "toCode": "LTN",
  "date": "2026-09-15",
  "price": 15190,
  "currency": "HUF",
  "fareClass": "O",
  "bookingUrl": "https://www.wizzair.com/en-gb/booking/select-flight/BUD/LTN/2026-09-15/null/1/0/0/null",
  "recordType": "farechart",
  "originIata": "BUD",
  "destinationIata": "LTN",
  "departureDate": "2026-09-15"
}

Each dataset row is a priced travel day for a route (with currency and booking link).

FAQ

Do I need a Wizz account or proxy?

No account. Apify Proxy is recommended for hub-wide or long windows.

Is this one row per flight?

No — this is a price calendar (one priced day per route date), not every departure time or seat inventory.

Need Ryanair fares too?

Use Ryanair Fare Scraper.

Related Actors

Actor	Use together when…
Ryanair Fare Scraper	Ryanair Explore / round-trip / per-flight timetable
Wizz Air Fare Scraper	(this Actor) — priced day calendars

More scrapers: bakos_bence on Apify.

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/wizzair-routes-fares

{
  "origin": "BUD",
  "destination": "LTN",
  "departDateFrom": "2026-08-26",
  "departDateTo": "2026-09-24",
  "maxResults": 1000,
  "proxyConfiguration": { "useApifyProxy": true }
}

Run fingerprint (logs): wizzair actor v1.5.

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).

SEO keywords

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