# Wizz Air Flights Scraper: Fares, Schedules & Price Calendar (`scrapers_lat/wizzair-flights-scraper`) Actor
Scrape Wizz Air flight fares and availability for any route across 190 airports in 44 countries. Extract lowest price, currency, departure times, flights available and a 30 day price calendar. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/wizzair-flights-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Travel, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
[](https://console.apify.com/actors/PMPKIxNnW6iEm1s0G/input)
## Wizz Air Flights Scraper: Fares, Schedules & Price Calendar
> Extract Wizz Air flight fares and availability for any route across 190 airports in 44 countries, with daily lowest prices, schedules and 30 day price calendars.
18 fields per record
190 airports 44 countries
JSON / CSV / Excel output formats
### What you get
Each record is one route and one departure date, with the lowest available Wizz Air fare, the scheduled departure times for that day, and a direct booking link. Turn on the price calendar option to also get a 30 day cheapest-fare-per-day breakdown for each route.
- **origin**: departure airport IATA code
- **originName**: departure city name
- **originCountry**: departure country
- **destination**: arrival airport IATA code
- **destinationName**: arrival city name
- **destinationCountry**: arrival country
- **direction**: outbound or return leg
- **departureDate**: the date these fares apply to
- **departureTimes**: list of scheduled departure date-times that day
- **flightsAvailable**: how many flights operate that day
- **price**: lowest available fare for that date
- **currency**: currency of the fare, set by the origin market
- **originalPrice**: undiscounted fare for that date
- **priceReduced**: true when the fare is below the original price
- **hasMacFlight**: true when a metropolitan area airport option exists
- **deepLink**: direct Wizz Air booking link for the route and date
- **observedAt**: when this fare was last seen by the scraper
- **cheapestDate\***: the cheapest day in the 30 day calendar for the route
- **cheapestPrice\***: the lowest fare in the calendar window
- **dailyPrices\***: cheapest fare and flight count for every day in the window
*\*These fields only appear in the price calendar records when withDetails is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Track Wizz Air fares on a route over time | Price comparison and travel deal sites |
| Find the cheapest day to fly in a month | Flexible leisure travellers |
| Feed fare data into a fare alert product | Travel app and chatbot builders |
| Monitor competitor pricing on overlapping routes | Airline and OTA analysts |
| Build a route availability and schedule dataset | Travel researchers and data teams |
### Frequently Asked Questions
**Which airports and countries does this cover?**
It covers the full Wizz Air network, which is 190 airports across 44 countries spanning Europe, the Middle East, North Africa, the Caucasus and Central Asia. Both the origin and destination are chosen from a dropdown of valid Wizz Air airports, and a route only returns data if Wizz Air actually flies it.
**How many fares can I get in one run?**
Each route and date returns one record with the lowest fare and all departure times for that day. Use the days-to-scan option to pull a whole week or month per route, and set the return date to also collect the return leg. The max items setting caps the total.
**Can I get the cheapest day to fly?**
Yes. Leave the price calendar option on and each route also produces a calendar record covering 30 days from your departure date, listing the cheapest fare and flight count for every day plus the single cheapest date.
**Why is the currency different on the return leg?**
Wizz Air prices each leg in the currency of its origin market, so a London to Budapest fare is in GBP while the Budapest to London return is in HUF. The currency field always reflects the correct market for that record.
**Does it include flight numbers, arrival times or seat counts?**
Wizz Air only publishes the lowest fare and the departure schedule on its open availability feed. Per-flight detail such as the flight number, exact arrival time and remaining seats sits behind an interactive bot wall and is not exposed, so the scraper returns the fare, schedule and availability that are publicly reachable.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Wizz Air Cluj-Napoca to Dortmund Flights Scraper](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-cluj-dortmund): Scrape Wizz Air fares and departure times for Cluj-Napoca (CLJ) to Dortmund (DTM). Get daily lowest prices and schedules in JSON.
- [Wizz Air Gdansk to Oslo Torp Flights Scraper](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-gdansk-oslo-torp): Scrape Wizz Air fares and departure times for Gdansk (GDN) to Oslo Sandefjord Torp (TRF). Get daily lowest prices and schedules in JSON.
- [Wizz Air Katowice to Rome Fiumicino Flights Scraper](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-katowice-rome): Scrape Wizz Air fares and departure times for Katowice (KTW) to Rome Fiumicino (FCO). Get daily lowest prices and schedules in JSON.
- [Wizz Air Milan Malpensa to Tirana Flights Scraper](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-milan-tirana): Scrape Wizz Air fares and departure times for Milan Malpensa (MXP) to Tirana (TIA). Get daily lowest prices and schedules in JSON.
- [Wizz Air Prague to Larnaca Flights Scraper](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-prague-larnaca): Scrape Wizz Air fares and departure times for Prague (PRG) to Larnaca (LCA). Get daily lowest prices and schedules in JSON.
- [Wizz Air Skopje to Basel Flights Scraper](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-skopje-basel): Scrape Wizz Air fares and departure times for Skopje (SKP) to Basel Mulhouse (BSL). Get daily lowest prices and schedules in JSON.
- [Wizz Air Sofia to London Luton Flights Scraper](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-sofia-london-luton): Scrape Wizz Air fares and departure times for Sofia (SOF) to London Luton (LTN). Get daily lowest prices and schedules in JSON.
- [Wizz Air Bucharest to Rome Flights](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-bucharest-rome): Wizz Air Bucharest to Rome Flights
- [Wizz Air Budapest to London Flights](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-budapest-london): Wizz Air Budapest to London Flights
- [Wizz Air Warsaw to London Flights](https://apify.com/scrapers_lat/wizzair-flights-scraper/examples/wizzair-warsaw-london): Wizz Air Warsaw to London Flights
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Eventbrite Events Scraper](https://apify.com/scrapers_lat/eventbrite-scraper): Pull event listings, dates, venues and ticket prices from Eventbrite.
- [Google News Scraper](https://apify.com/scrapers_lat/google-news-scraper): Collect news headlines, sources and links by query or topic.
- [MercadoLibre Scraper](https://apify.com/scrapers_lat/mercadolibre-scraper): Extract product listings, prices and sellers from MercadoLibre.
- [LinkedIn Jobs Scraper](https://apify.com/scrapers_lat/linkedin-jobs-scraper): Gather job postings, companies and locations from LinkedIn.
- [Instagram Scraper](https://apify.com/scrapers_lat/instagram-scraper): Scrape profiles, posts and engagement metrics from Instagram.
- [YouTube Scraper](https://apify.com/scrapers_lat/youtube-scraper): Extract video metadata, channels and statistics from YouTube.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Wizz Air. It only accesses data that is publicly available on the platform. Use it in accordance with Wizz Air's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of fare records to collect across all routes and dates. Optional.
## `withDetails` (type: `boolean`):
When enabled, for each route the scraper also fetches a 30 day price calendar (cheapest fare per day) and emits it as a separate details record. Turn off to only return the dates you requested.
## `origin` (type: `string`):
Departure airport. Pick a Wizz Air airport by IATA code.
## `destination` (type: `string`):
Arrival airport. Must be a Wizz Air airport that the origin connects to.
## `departureDate` (type: `string`):
First departure date to scan, format YYYY-MM-DD. Must be today or later. Leave empty to default to about a month from today.
## `dateRangeDays` (type: `integer`):
How many consecutive days starting at the departure date to fetch fares for (1 = only that day, 30 = a month). Optional.
## `returnDate` (type: `string`):
If set, the scraper also fetches the return leg (destination back to origin) starting at this date, format YYYY-MM-DD. Leave empty for one way.
## `adultCount` (type: `integer`):
Number of adult passengers used to price the fares.
## `childCount` (type: `integer`):
Number of child passengers (age 2 to 14).
## `infantCount` (type: `integer`):
Number of infant passengers (under 2).
## `proxyConfiguration` (type: `object`):
Proxy configuration. Wizz Air's fare endpoint works from datacenter IPs, so a proxy is optional. A European residential proxy can help with rate limits.
## Actor input object example
```json
{
"maxItems": 50,
"withDetails": true,
"origin": "BUD",
"destination": "LTN",
"dateRangeDays": 7,
"adultCount": 1,
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 50,
"origin": "BUD",
"destination": "LTN",
"dateRangeDays": 7,
"adultCount": 1,
"childCount": 0,
"infantCount": 0,
"proxyConfiguration": {
"useApifyProxy": false
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/wizzair-flights-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxItems": 50,
"origin": "BUD",
"destination": "LTN",
"dateRangeDays": 7,
"adultCount": 1,
"childCount": 0,
"infantCount": 0,
"proxyConfiguration": { "useApifyProxy": False },
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/wizzair-flights-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 50,
"origin": "BUD",
"destination": "LTN",
"dateRangeDays": 7,
"adultCount": 1,
"childCount": 0,
"infantCount": 0,
"proxyConfiguration": {
"useApifyProxy": false
}
}' |
apify call scrapers_lat/wizzair-flights-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/wizzair-flights-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Wizz Air Flights Scraper: Fares, Schedules & Price Calendar",
"description": "Scrape Wizz Air flight fares and availability for any route across 190 airports in 44 countries. Extract lowest price, currency, departure times, flights available and a 30 day price calendar. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "nDVBlkiMaHYIr85HJ"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~wizzair-flights-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-wizzair-flights-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~wizzair-flights-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-wizzair-flights-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~wizzair-flights-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-wizzair-flights-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"origin",
"destination"
],
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of fare records to collect across all routes and dates. Optional."
},
"withDetails": {
"title": "Include price calendar (details)",
"type": "boolean",
"description": "When enabled, for each route the scraper also fetches a 30 day price calendar (cheapest fare per day) and emits it as a separate details record. Turn off to only return the dates you requested.",
"default": true
},
"origin": {
"title": "Origin airport (IATA)",
"enum": [
"TIA",
"LWN",
"EVN",
"GYD",
"CRL",
"BNX",
"SJJ",
"TZL",
"BOJ",
"PDV",
"SOF",
"VAR",
"DBV",
"RJK",
"SPU",
"ZAD",
"LCA",
"PFO",
"PRG",
"BLL",
"CPH",
"HBE",
"SPX",
"HRG",
"RMF",
"SSH",
"TLL",
"TKU",
"MLH",
"BOD",
"GNB",
"LYS",
"NCE",
"PAR",
"BVA",
"ORY",
"KUT",
"BER",
"CGN",
"DTM",
"HHN",
"FDH",
"HAM",
"FKB",
"FMM",
"NUE",
"STR",
"ATH",
"CHQ",
"CFU",
"HER",
"KLX",
"EFL",
"JMK",
"RHO",
"JTR",
"JSI",
"SKG",
"ZTH",
"BUD",
"DEB",
"KEF",
"TLV",
"AHO",
"AOI",
"BRI",
"BLQ",
"BDS",
"CTA",
"CIY",
"GOA",
"SUF",
"LMP",
"MIL",
"BGY",
"MXP",
"NAP",
"OLB",
"PMO",
"PEG",
"PSR",
"PSA",
"RMI",
"ROM",
"CIA",
"FCO",
"TRS",
"TRN",
"VCE",
"VEN",
"TSF",
"VRN",
"AMM",
"PRN",
"KUN",
"PLQ",
"VNO",
"MLA",
"RMO",
"TGD",
"AGA",
"RAK",
"EIN",
"MST",
"OHD",
"SKP",
"AES",
"BGO",
"HAU",
"OOS",
"OSL",
"TRF",
"SVG",
"TOS",
"TRD",
"GDN",
"KTW",
"KRK",
"LUZ",
"SZY",
"POZ",
"RZE",
"SZZ",
"WSW",
"WAW",
"WMI",
"RDO",
"WRO",
"FAO",
"FNC",
"LIS",
"OPO",
"BCM",
"GHV",
"BBU",
"OTP",
"CLJ",
"CND",
"CRA",
"IAS",
"OMR",
"SUJ",
"SBZ",
"SCV",
"TGM",
"TSR",
"JED",
"MED",
"BEG",
"INI",
"BTS",
"KSC",
"TAT",
"LJU",
"ALC",
"BCN",
"BIO",
"CDT",
"FUE",
"LPA",
"IBZ",
"MAD",
"AGP",
"MAH",
"PMI",
"SDR",
"SVQ",
"TFS",
"VLC",
"ZAZ",
"GOT",
"MMX",
"STO",
"ARN",
"NYO",
"BSL",
"ESB",
"AYT",
"DLM",
"IST",
"AUH",
"DXB",
"ABZ",
"BHX",
"GLA",
"LBA",
"LPL",
"LON",
"LGW",
"LTN"
],
"type": "string",
"description": "Departure airport. Pick a Wizz Air airport by IATA code."
},
"destination": {
"title": "Destination airport (IATA)",
"enum": [
"TIA",
"LWN",
"EVN",
"GYD",
"CRL",
"BNX",
"SJJ",
"TZL",
"BOJ",
"PDV",
"SOF",
"VAR",
"DBV",
"RJK",
"SPU",
"ZAD",
"LCA",
"PFO",
"PRG",
"BLL",
"CPH",
"HBE",
"SPX",
"HRG",
"RMF",
"SSH",
"TLL",
"TKU",
"MLH",
"BOD",
"GNB",
"LYS",
"NCE",
"PAR",
"BVA",
"ORY",
"KUT",
"BER",
"CGN",
"DTM",
"HHN",
"FDH",
"HAM",
"FKB",
"FMM",
"NUE",
"STR",
"ATH",
"CHQ",
"CFU",
"HER",
"KLX",
"EFL",
"JMK",
"RHO",
"JTR",
"JSI",
"SKG",
"ZTH",
"BUD",
"DEB",
"KEF",
"TLV",
"AHO",
"AOI",
"BRI",
"BLQ",
"BDS",
"CTA",
"CIY",
"GOA",
"SUF",
"LMP",
"MIL",
"BGY",
"MXP",
"NAP",
"OLB",
"PMO",
"PEG",
"PSR",
"PSA",
"RMI",
"ROM",
"CIA",
"FCO",
"TRS",
"TRN",
"VCE",
"VEN",
"TSF",
"VRN",
"AMM",
"PRN",
"KUN",
"PLQ",
"VNO",
"MLA",
"RMO",
"TGD",
"AGA",
"RAK",
"EIN",
"MST",
"OHD",
"SKP",
"AES",
"BGO",
"HAU",
"OOS",
"OSL",
"TRF",
"SVG",
"TOS",
"TRD",
"GDN",
"KTW",
"KRK",
"LUZ",
"SZY",
"POZ",
"RZE",
"SZZ",
"WSW",
"WAW",
"WMI",
"RDO",
"WRO",
"FAO",
"FNC",
"LIS",
"OPO",
"BCM",
"GHV",
"BBU",
"OTP",
"CLJ",
"CND",
"CRA",
"IAS",
"OMR",
"SUJ",
"SBZ",
"SCV",
"TGM",
"TSR",
"JED",
"MED",
"BEG",
"INI",
"BTS",
"KSC",
"TAT",
"LJU",
"ALC",
"BCN",
"BIO",
"CDT",
"FUE",
"LPA",
"IBZ",
"MAD",
"AGP",
"MAH",
"PMI",
"SDR",
"SVQ",
"TFS",
"VLC",
"ZAZ",
"GOT",
"MMX",
"STO",
"ARN",
"NYO",
"BSL",
"ESB",
"AYT",
"DLM",
"IST",
"AUH",
"DXB",
"ABZ",
"BHX",
"GLA",
"LBA",
"LPL",
"LON",
"LGW",
"LTN"
],
"type": "string",
"description": "Arrival airport. Must be a Wizz Air airport that the origin connects to."
},
"departureDate": {
"title": "Departure date",
"type": "string",
"description": "First departure date to scan, format YYYY-MM-DD. Must be today or later. Leave empty to default to about a month from today."
},
"dateRangeDays": {
"title": "Days to scan from departure date",
"minimum": 1,
"maximum": 60,
"type": "integer",
"description": "How many consecutive days starting at the departure date to fetch fares for (1 = only that day, 30 = a month). Optional."
},
"returnDate": {
"title": "Return date (optional)",
"type": "string",
"description": "If set, the scraper also fetches the return leg (destination back to origin) starting at this date, format YYYY-MM-DD. Leave empty for one way."
},
"adultCount": {
"title": "Adults",
"minimum": 1,
"maximum": 9,
"type": "integer",
"description": "Number of adult passengers used to price the fares."
},
"childCount": {
"title": "Children",
"minimum": 0,
"maximum": 9,
"type": "integer",
"description": "Number of child passengers (age 2 to 14)."
},
"infantCount": {
"title": "Infants",
"minimum": 0,
"maximum": 9,
"type": "integer",
"description": "Number of infant passengers (under 2)."
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Proxy configuration. Wizz Air's fare endpoint works from datacenter IPs, so a proxy is optional. A European residential proxy can help with rate limits.",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```