easyJet Flight Fares

What does easyJet Flight Fares do?

Scrape easyJet fares into a clean Apify dataset — origin, destination, and an optional date window. You get price with currency, flight number, times, airports, and a booking deep-link.

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by easyJet Airline Company Limited. It is not an easyJet product.

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.

Fares come from AZair meta-search of easyJet inventory (typically EUR; may differ slightly from easyjet.com). Leave dates empty — they default to today so Store tests never expire. Export JSON or CSV, schedule, or call via API / MCP.

Drop-in input/output for memo23/easyjet-scraper.

Why use this easyJet scraper?

• ✈️ One-way fares for a route and date window
• 💶 Price kept with currency
• 🔗 easyJet booking deep-links with your passenger mix
• ⚡ Cheap first run: prefill maxResults 5, no proxy required

How to scrape easyJet fares

1. Open this Actor in Apify Console.
2. Click Start on the prefilled LGW → CDG run (maxResults 5).
3. Optional: set departDateFrom / departDateTo, passengers, or maxPrice.
4. Export the dataset or pull via API.

{
  "origin": "LGW",
  "destination": "CDG",
  "tripType": "oneWay",
  "maxResults": 5
}

How much does it cost?

Pay per event (PPE): Actor start + each fare result row. On Free, results are about $2 / 1,000; paid plans are lower (see the Pricing tab). Cap spend with maxResults.

Input

Field	Description
origin / destination	IATA codes (comma-separated for several)
tripType	oneWay (default) or roundTrip
departDateFrom / departDateTo	Optional outbound window; empty = today
returnDateFrom / returnDateTo	Required for round-trip
maxResults	Cap rows (prefill 5)
proxyConfiguration	Leave off unless your egress is blocked

Sample output

{
  "airline": "easyJet",
  "carrierCode": "U2",
  "tripType": "oneWay",
  "flightNumber": "U28411",
  "fromCode": "LGW",
  "toCode": "CDG",
  "departureDate": "2026-08-28",
  "departureTime": "18:40",
  "arrivalTime": "20:55",
  "price": 19.49,
  "currency": "EUR",
  "bookingUrl": "https://www.easyjet.com/en/cheap-flights/london-gatwick/paris-charles-de-gaulle",
  "source": "azair"
}

FAQ

Is this official easyJet software?

No. It is unofficial and not affiliated with easyJet. Fares are public meta-search facts, not a substitute for easyjet.com checkout.

Do I need a proxy or an easyJet account?

No account. The AZair mirror usually works without a proxy.

Can AI agents call this?

Yes — Apify API or MCP with Actor ID bakos_bence/easyjet-flights.

For AI agents & LLM apps

Actor ID: bakos_bence/easyjet-flights

Minimal input:

{ "origin": "LGW", "destination": "CDG", "maxResults": 5 }

Output: one dataset row per fare. Key fields: airline, flightNumber, fromCode, toCode, departureDate, price, currency, 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).