# Google Flights Scraper - Flight Price Tracker & Fare Calendar (`kamerozkan/google-flights-prices`) Actor

Google Flights scraper and flight price tracker API. Search one-way & round-trip airfares, compare airlines, scan a fare calendar for the cheapest dates, and monitor price levels without headless browsers.

- **URL**: https://apify.com/kamerozkan/google-flights-prices.md
- **Developed by:** [Kamer Ozkan](https://apify.com/kamerozkan) (community)
- **Categories:** Travel, E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 flight route searches

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Google Flights Scraper - Flight Price Tracker & Fare Calendar

[![Run on Apify](https://apify.com/actor-badge?actor=kamerozkan/google-flights-prices)](https://apify.com/kamerozkan/google-flights-prices)
[![Pricing](https://img.shields.io/badge/Pricing-Pay--Per--Event%20\($0.003\)-blue)](https://apify.com/kamerozkan/google-flights-prices)
[![Memory](https://img.shields.io/badge/Memory-512%20MB-green)](https://apify.com/kamerozkan/google-flights-prices)
[![Speed](https://img.shields.io/badge/Speed-3.6s%20per%20search-success)](https://apify.com/kamerozkan/google-flights-prices)

Google Flights scraper and flight price tracker: get real-time airfares, airline comparisons, flight schedules, carbon emissions, and Google's low / typical / high price level for any route, plus a fare calendar that finds the cheapest day to fly. No browser, no consent screen clicks.

Supports **one-way** and **round-trip** flights, multiple cabin classes, nonstop-only filters, worldwide IATA airports, custom currencies, and multi-date calendar fare tracking.

**Reliability:** 7 of 7 public runs succeeded in the last 30 days (Apify run stats, October 2026). A search that Google does not answer, or answers with no flights, is retried and not charged.

***

### Why Google Flights Scraper?

| Feature | What you get |
| :--- | :--- |
| **Pricing Model** | **$0.003 / route search (pay per event)** |
| **Speed** | **About 3.6 seconds per search (no browser)** |
| **Memory Footprint** | **512 MB** |
| **Consent screen** | **Handled automatically, no clicks needed** |
| **Price Benchmark** | **Yes (`low`, `typical`, `high`)** |
| **Multi-Date Calendar** | **Yes (up to 60 departure dates)** |

***

### Core Use Cases

- **Flight Price Tracking & Fare Drop Alerts:** Monitor key corporate and vacation flight routes daily. Trigger notifications or buy signals when airfares drop to "LOW" price levels.
- **Travel Metasearch & OTA Augmentation:** Build travel portals and flight comparison tools with up-to-date schedule and pricing data across major airlines (Delta, United, American, British Airways, Lufthansa, Turkish Airlines, Ryanair, Emirates).
- **Dynamic Pricing for Travel Agencies:** Monitor airline pricing strategies and fare spikes on upcoming peak dates or holiday weekends.
- **Corporate Travel Audits:** Benchmark flight bookings against market rates and verify that business trips are booked within fair price corridors.
- **AI Travel Agents:** Feed structured flight schedules, layover times, and prices directly into LLM travel assistants, n8n, Make, or Zapier workflows.

***

### Key Features

- **Direct Protobuf Protocol Engine:** Communicates directly with Google Flights backend services without headless browsers, so runs stay fast and light on memory.
- **One-Way & Round-Trip Searches:** Full support for point-to-point one-way flights or round-trips with customizable return durations.
- **Multi-Date Fare Calendar:** Scan airfares across up to 60 departure dates (`numberOfDates`, with `dateStep` for weekly checks) to pinpoint the cheapest days to fly. Every row carries `lowestPrice` for its date, so sorting the dataset by it gives the cheapest date.
- **Comprehensive Flight Intelligence:**
  - Real-time airfare prices (`price`, `priceFormatted`, `currency`)
  - Operating airlines and codes
  - Exact departure and arrival times and dates
  - Total travel duration and flight duration (in minutes and formatted hours)
  - Number of stops and detailed segment legs (airports, durations, aircraft models like Airbus A330, Boeing 777)
  - Google Flights price insight indicator (`low`, `typical`, `high`) with typical price corridors
  - Carbon emissions in grams and route average benchmark
  - Direct link to the live Google Flights itinerary
- **Worldwide IATA Support & Custom Currencies:** Query any airport pair with USD, EUR, GBP, TRY, CAD, AUD, etc.
- **Pay-Per-Result Pricing:** Pay only $0.003 per searched flight route. Zero monthly commitments.

***

### How to use the Google Flights scraper

1. Enter the origin and destination airport codes (for example `JFK` and `LHR`).
2. Pick a departure date (`2026-12-10` or `today+14`) and, for a round trip, switch on **Round Trip** and set the trip length.
3. For a fare calendar, set **Number of Dates** (for example 30) and optionally **Days Between Calendar Dates** (7 for weekly checks).
4. Optional: cabin class, number of adults, currency, and **Maximum Stops** (0 = nonstop only).
5. Click **Start**. Download the results as JSON, CSV or Excel, or read them through the API.

***

### Input Parameters

| Parameter | Type | Required | Default | Description |
| :--- | :--- | :--- | :--- | :--- |
| `fromAirport` | String | **Yes** | `"JFK"` | 3-letter IATA code of origin airport (e.g. `JFK`, `IST`, `LHR`, `LAX`). |
| `toAirport` | String | **Yes** | `"LHR"` | 3-letter IATA code of destination airport (e.g. `LHR`, `CDG`, `HND`, `IST`). |
| `departureDate` | String | No | `"today+14"` | Departure date (`YYYY-MM-DD` or relative like `today+14`, `today+30`, `tomorrow`). |
| `isRoundTrip` | Boolean | No | `false` | Enable round-trip flight search. |
| `returnDurationDays` | Integer | No | `7` | Days between departure and return for round-trip searches (1 to 60). |
| `numberOfDates` | Integer | No | `1` | Scan consecutive departure dates (multi-date fare calendar, 1 to 60). |
| `dateStep` | Integer | No | `1` | Days between calendar dates (1 = every day, 7 = same weekday each week). |
| `maxStops` | Integer | No | any | Maximum number of stops (0 = nonstop only). |
| `adults` | Integer | No | `1` | Number of adult passengers (1 to 9). |
| `seatClass` | String | No | `"economy"` | Cabin class: `"economy"`, `"premium-economy"`, `"business"`, `"first"`. |
| `currency` | String | No | `"USD"` | 3-letter currency code (e.g. `USD`, `EUR`, `GBP`, `TRY`). |
| `expandItineraries` | Boolean | No | `true` | When true, emits each flight itinerary as an individual record. When false, emits route summaries. |
| `proxyConfiguration` | Object | No | `{ "useApifyProxy": true }` | Apify Datacenter or Residential proxy settings. |

***

### Example JSON Output

Each record represents one flight offer on the selected route and date:

```json
{
  "from": "JFK",
  "to": "LHR",
  "tripType": "ONE_WAY",
  "departureDate": "2026-11-20",
  "returnDate": null,
  "adults": 1,
  "seatClass": "economy",
  "currency": "USD",
  "priceLevel": "TYPICAL",
  "priceRange": {
    "low": 170,
    "typical": 224,
    "high": 300
  },
  "totalFlights": 18,
  "lowestPrice": 399,
  "rank": 1,
  "isBest": true,
  "airline": "Virgin Atlantic",
  "airlines": ["Virgin Atlantic"],
  "price": 399,
  "priceFormatted": "USD 399",
  "departure": "08:00",
  "departureDate": "2026-11-20",
  "arrival": "20:10",
  "arrivalDate": "2026-11-20",
  "stops": 0,
  "duration": "7h 10m",
  "totalDurationMinutes": 430,
  "flightDurationMinutes": 430,
  "carbonEmissionGrams": 365000,
  "typicalCarbonEmissionGrams": 432000,
  "legs": [
    {
      "from": "JFK",
      "fromAirportName": "John F. Kennedy International Airport",
      "to": "LHR",
      "toAirportName": "Heathrow Airport",
      "departureDate": "2026-11-20",
      "departureTime": "08:00",
      "arrivalDate": "2026-11-20",
      "arrivalTime": "20:10",
      "durationMinutes": 430,
      "durationFormatted": "7h 10m",
      "planeType": "Airbus A330-900neo"
    }
  ],
  "searchUrl": "https://www.google.com/travel/flights?tfs=...",
  "scrapedAt": "2026-10-06T20:29:15+00:00"
}
```

***

### API and integrations: code examples

Run it from your own code, a schedule, or tools like n8n, Make and Zapier through the Apify API.

#### Python (apify-client)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run_input = {
    "fromAirport": "JFK",
    "toAirport": "LHR",
    "departureDate": "+14 days",
    "isRoundTrip": True,
    "returnDurationDays": 7,
    "currency": "USD",
}

## Run the Actor and wait for completion
run = client.actor("kamerozkan/google-flights-prices").call(run_input=run_input)

## Fetch results from dataset
for flight in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"[{flight['airline']}] {flight['departure']} -> {flight['arrival']} ({flight['duration']}): {flight['priceFormatted']}")
```

#### JavaScript / Node.js (apify-client)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_API_TOKEN',
});

const runInput = {
    fromAirport: 'IST',
    toAirport: 'LHR',
    departureDate: '+21 days',
    currency: 'EUR',
    numberOfDates: 7, // Scan a full week of departure dates
};

const run = await client.actor('kamerozkan/google-flights-prices').call(runInput);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

console.log(`Collected ${items.length} flight schedules:`, items);
```

#### cURL

```bash
curl --request POST \
  --url "https://api.apify.com/v2/acts/kamerozkan~google-flights-prices/runs?token=YOUR_APIFY_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
    "fromAirport": "LAX",
    "toAirport": "HND",
    "departureDate": "2026-12-10",
    "currency": "USD"
  }'
```

***

### FAQ

**How do I find the cheapest date to fly?**
Set `numberOfDates` (for example 30) and keep `expandItineraries` on. Each row has `departureDate` and `lowestPrice`; sort by `lowestPrice` to get the cheapest dates. With `expandItineraries` off you get one summary row per date, which is the most compact fare calendar.

**Can I track the same route every day?**
Yes. Save your input as a task and add an Apify schedule. Compare `lowestPrice` and `priceLevel` between runs to catch fare drops.

**Does it return booking options per airline or travel agency?**
Not yet. Each row has `searchUrl`, which opens the same itinerary in Google Flights where the booking options are shown. Per-provider booking prices are on our list as a planned mode.

**What am I charged for a search that fails?**
Nothing. You pay one `flight-search` event only for a route date search that returned flights. A date with no flights (after one automatic retry) is still written to the dataset with `totalFlights: 0`, free of charge; failed searches are listed in the `RUN_SUMMARY` record of the key-value store.

***

### Pricing Details

This Actor operates under **Pay-Per-Event (PPE)**:

- **Per Route Search ($0.003):** Charged per flight route date search that returns flights. Empty or failed searches are free.
- 1,000 route searches cost only $3.00, returning dozens of complete airline itineraries per search.
- Platform compute usage is fully included in the event fee.

***

### Support and feedback

- Found a bug or missing a field (for example per-provider booking prices)? Open an issue on the
  **Issues** tab of this Actor. We reply within 48 hours and ship most fixes within a few days.
- Have an idea for a feature? Issues are the fastest way to get it built.
- If the Actor saves you time, a short review on this page helps other users find it.

# Actor input Schema

## `fromAirport` (type: `string`):

3-letter IATA code of origin airport (e.g. 'JFK', 'IST', 'LHR', 'LAX').

## `toAirport` (type: `string`):

3-letter IATA code of destination airport (e.g. 'LHR', 'CDG', 'HND', 'IST').

## `departureDate` (type: `string`):

Departure date in YYYY-MM-DD format, or relative expression like 'today+14', 'today+30', 'tomorrow'.

## `isRoundTrip` (type: `boolean`):

If enabled, searches for round-trip flights instead of one-way.

## `returnDurationDays` (type: `integer`):

Number of days between departure and return for round-trip searches.

## `numberOfDates` (type: `integer`):

Check flight prices across consecutive departure dates to find the cheapest day to fly.

## `dateStep` (type: `integer`):

Gap in days between the departure dates of the calendar. 1 checks every day, 7 checks the same weekday each week.

## `maxStops` (type: `integer`):

Only return itineraries with at most this many stops (0 = nonstop only). Leave empty for any number of stops.

## `adults` (type: `integer`):

Number of adult passengers (1 to 9).

## `seatClass` (type: `string`):

Select cabin seat class.

## `currency` (type: `string`):

Currency code for airfare prices (e.g. USD, EUR, GBP, TRY).

## `expandItineraries` (type: `boolean`):

If true, emits every individual flight schedule as its own dataset row. If false, emits one summary row per route.

## `proxyConfiguration` (type: `object`):

Apify datacenter or residential proxy settings.

## Actor input object example

```json
{
  "fromAirport": "JFK",
  "toAirport": "LHR",
  "departureDate": "today+14",
  "isRoundTrip": false,
  "returnDurationDays": 7,
  "numberOfDates": 1,
  "dateStep": 1,
  "adults": 1,
  "seatClass": "economy",
  "currency": "USD",
  "expandItineraries": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset containing collected flight offers and route pricing.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "fromAirport": "JFK",
    "toAirport": "LHR"
};

// Run the Actor and wait for it to finish
const run = await client.actor("kamerozkan/google-flights-prices").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "fromAirport": "JFK",
    "toAirport": "LHR",
}

# Run the Actor and wait for it to finish
run = client.actor("kamerozkan/google-flights-prices").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "fromAirport": "JFK",
  "toAirport": "LHR"
}' |
apify call kamerozkan/google-flights-prices --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kamerozkan/google-flights-prices"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/p8ak7BzqfI2DNq1zT/builds/GrPVLEnezT61pLycg/openapi.json