# Google Flights Scraper - All Fares per Route & Date (API) (`tenfoldfleet/google-flights-scraper`) Actor

Get every flight and fare Google Flights lists for a route and date: airline, flight numbers, times, stops, layovers, price, CO2 and price level, one row per itinerary. One-way or round trip, any cabin, airport lists, date ranges, 500 searches a run. $15 per 1,000 route searches; failures are free.

- **URL**: https://apify.com/tenfoldfleet/google-flights-scraper.md
- **Developed by:** [Tenfold Fleet](https://apify.com/tenfoldfleet) (community)
- **Categories:** Travel, Agents, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 1,000 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

### What does Google Flights Scraper do?

**Google Flights Scraper** turns a **Google Flights** search into clean rows of data. Give it a **route and a departure date** (or a whole date range, or lists of airports) and it returns **every itinerary Google Flights lists**: airlines, flight numbers, departure and arrival times, total duration, number of stops, layover airports and minutes, **price**, **CO2 estimate** and Google's **price level** for that search (low, typical or high).

It works like a **Google Flights API**: plain HTTP requests, no browser, no Google account and no proxy to manage. Run it from Apify Console, the Apify API, a schedule, MCP, Make, Zapier or n8n. You pay **$0.015 per route search** that finds flights, whatever the number of itineraries; searches with no flights are free.

Not affiliated with, endorsed by or sponsored by Google. Google Flights is a trademark of Google LLC.

### Why use it?

- 📉 **Fare monitoring**: schedule the same routes daily or weekly with relative dates (`"+30 days"`) and log how the cheapest fare and each flight's price move.
- 🧳 **Travel agencies and trip planners**: pull all options for a client's route and dates into a sheet, filtered by cabin, stops and passenger count.
- 📊 **Price-trend and airline analysis**: compare carriers, nonstop share, durations and fares across routes, countries and seasons.
- 🗓️ **Cheapest-date search**: run one route over a date range and pick the cheapest departure day from the results.
- 🌱 **Emissions reporting**: every itinerary carries Google's CO2 estimate and how it compares with typical flights on that route.
- 🤖 **AI travel agents**: give an LLM agent a tool that answers "what flights go from JFK to LAX on 12 December and what do they cost?" with structured data.

### What data can it extract?

One row per itinerary:

| Field | Example |
|---|---|
| `searchId`, `from`, `to`, `departDate`, `returnDate` | `JFK-LAX-2026-11-20`, `JFK`, `LAX`, `2026-11-20`, `null` |
| `price`, `priceExact`, `currency` | `215`, `214.4`, `USD` (total for all passengers; `price` is the whole number Google displays, `priceExact` the fare before rounding; round trips show the round-trip total) |
| `airlines`, `flightNumbers` | `["American"]`, `["AA 171"]` |
| `departTime`, `arriveTime`, `arriveDate` | `06:00`, `09:22`, `2026-11-20` (local times) |
| `durationMinutes`, `stops` | `382`, `0` |
| `layovers` | `[{ "airport": "FLL", "minutes": 54, "city": "Fort Lauderdale" }]` |
| `co2Kg`, `co2VsTypicalPct`, `typicalCo2Kg` | `274`, `-20`, `344` |
| `isBest`, `rank` | `true` for Google's "Top flights", then the order Google shows |
| `priceLevel`, `lowestPrice`, `typicalPriceLow`, `typicalPriceHigh` | `typical`, `160`, `120`, `280` (Google's "prices are currently ..." box) |
| `segments` | each flight leg: airports, times, dates, airline, flight number, aircraft, legroom, CO2 |
| `bookingUrl` | the Google Flights results page for this search |
| `tripType`, `cabin`, `adults`, `children`, `scrapedAt` | `one-way`, `economy`, `1`, `0`, ISO time |

### How to scrape Google Flights

1. Click **Try for free**.
2. Add one or more **searches** such as `{"from": "JFK", "to": "LAX", "date": "2026-12-12"}` (add `"returnDate"` for a round trip), or fill **from**, **to** and a **date range** to search every day in between. Put several airports in from or to (`JFK,EWR,LGA`) to search every pair.
3. Pick cabin, passengers, max stops and currency if needed.
4. Click **Start**. Most searches finish in 1-3 seconds.
5. Download the flights as **JSON, CSV, Excel or HTML**, or read them through the API.

### How much does it cost?

This scraper charges **per search, not per row**: **$0.015 for each route and date that returns flights ($15 per 1,000 searches)**, plus a $0.00005 start fee per run. Every itinerary Google lists for that search is included. In a 59-route test on Apify in October 2026, Google listed 8 to 71 itineraries per search (median 19).

**Free:** searches that find no flights, searches where Google lists flights but no prices, unknown airport codes, past dates, and pages Google blocks. Many other Google Flights scrapers on the Store bill per row (per flight) instead, so compare by the number of searches you plan to run.

Examples: tracking 10 routes once a day for 30 days is 300 searches = **$4.50**. A 60-day date range on one route is 60 searches = **$0.90**. Three New York airports to two London airports over 30 days is 3 x 2 x 30 = 180 searches = **$2.70**.

The free Apify plan has no extra limits here: its monthly credit (about $5) covers roughly 330 searches.

### Input

```json
{
    "searches": [
        { "from": "JFK", "to": "LAX", "date": "2026-12-12" },
        { "from": "LHR", "to": "JFK", "date": "+45 days", "returnDate": "+52 days" }
    ],
    "cabin": "economy",
    "adults": 1,
    "maxStops": "any",
    "currency": "USD"
}
```

Date range instead (one search per day, round trips of 7 days):

```json
{
    "from": "SFO",
    "to": "NRT",
    "dateRangeStart": "2026-12-01",
    "dateRangeEnd": "2026-12-31",
    "tripType": "round-trip",
    "tripLengthDays": 7
}
```

Several origins and destinations at once, every pair for every date:

```json
{
    "from": "JFK,EWR,LGA",
    "to": "LHR,LGW",
    "dateRangeStart": "+30 days",
    "dateRangeEnd": "+59 days"
}
```

Up to 500 searches per run (searches over the limit are skipped and logged, never charged). Airport lists also work inside `searches`: `{"from": "JFK,EWR", "to": "LAX", "date": "2026-12-12"}`. Dates can be absolute (`2026-12-12`) or relative to the day the run starts (`"+30 days"`, `"2 weeks"`), so a scheduled run always looks the same distance ahead.

### Output

```json
{
    "searchId": "JFK-LAX-2026-11-20",
    "from": "JFK",
    "to": "LAX",
    "departDate": "2026-11-20",
    "returnDate": null,
    "rank": 4,
    "isBest": false,
    "price": 160,
    "priceExact": 159.21,
    "currency": "USD",
    "airlines": ["JetBlue"],
    "flightNumbers": ["B6 1301", "B6 101"],
    "departTime": "16:54",
    "arriveTime": "23:50",
    "arriveDate": "2026-11-20",
    "durationMinutes": 596,
    "stops": 1,
    "layovers": [{ "airport": "FLL", "minutes": 54, "city": "Fort Lauderdale" }],
    "co2Kg": 549,
    "co2VsTypicalPct": 60,
    "typicalCo2Kg": 344,
    "priceLevel": "typical",
    "lowestPrice": 160,
    "typicalPriceLow": 120,
    "typicalPriceHigh": 280,
    "tripType": "one-way",
    "cabin": "economy",
    "adults": 1,
    "children": 0,
    "segments": [
        { "from": "JFK", "to": "FLL", "departTime": "16:54", "arriveTime": "20:05", "airline": "JetBlue", "flightNumber": "B6 1301", "aircraft": "Airbus A321", "legroom": "32 in", "co2Kg": 165 }
    ],
    "bookingUrl": "(the Google Flights results page for this search)",
    "error": null
}
```

A search that fails gives one free row with `from`, `to`, `departDate` and an `error` message. You can download the dataset as JSON, CSV, Excel or HTML.

### Tips

- **Round trips:** the rows are the outbound options, each priced at Google's round-trip total for the cheapest matching return. Return-flight details are not included.
- **Prices for groups:** `price` is the total for all adults and children in the search.
- **Point of sale:** `country` (gl) and `currency` change the market Google prices for; fares can differ between countries. If Google doesn't support a currency code it prices in USD, and the `currency` field always shows the currency actually used.
- **Cheapest day:** run a date range, then sort the rows by `price` or keep the `lowestPrice` of each `searchId`.
- **Schedules:** use relative dates and an Apify schedule to build a daily fare history without editing the input.
- If Apify returns a concurrent-run limit error when you start many runs at once, wait 60 seconds and start the run again.

### Use it with AI agents (MCP)

Give Claude, ChatGPT, Cursor or any MCP client this Actor as a tool through Apify's MCP server: add `https://mcp.apify.com?tools=tenfoldfleet/google-flights-scraper` as a remote MCP server and sign in with your Apify account. The agent fills in the input, runs the Actor and reads the flights itself; you pay the same per-search price as a normal run.

### FAQ

#### Which airports can I use?

Any airport Google Flights knows, by its 3-letter IATA code (JFK, LHR, NRT, SYD). City names are not accepted; list the airports instead, separated by commas (`JFK,EWR,LGA` for New York).

#### How far ahead can I search?

Google Flights sells about 11 months ahead. Dates further out, and dates in the past, return a free error row.

#### Can I book through it?

No. It reads public search results. `bookingUrl` opens the same search on Google Flights, where you can pick a fare and continue to the airline or agent.

#### Why is `price` sometimes empty?

Google occasionally lists a flight with "price unavailable". The row is still included so the schedule is complete.

#### Does it need a proxy?

No. Requests go out directly. If Google rate-limits a request, it is retried through Apify Proxy automatically when your plan includes it. If Google blocks 15 searches in a row, the run stops early instead of retrying the rest, and none of them is charged.

### Disclaimer

This Actor collects publicly available flight search results. Prices change constantly and may differ at booking; always confirm the fare with the airline or agent before buying. You are responsible for using the data in line with applicable laws and Google's terms.

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# Actor input Schema

## `searches` (type: `array`):

One search per route and departure date: {"from": "JFK", "to": "LAX", "date": "2026-12-01"}. Add "returnDate" for a round trip. Airports are 3-letter IATA codes; list several with commas ("from": "JFK,EWR") to search every pair. Dates are YYYY-MM-DD or relative to today, such as "+30 days" or "2 weeks" (handy for scheduled runs). Up to 500 searches per run; each search that finds flights costs $0.015, failed searches are free. The free Apify plan has no extra limits: its monthly credit pays for searches at the same price.

## `from` (type: `string`):

Optional. With "to" and a date range, runs one search per departure date on this route (IATA code, e.g. SFO). Several airports separated by commas (JFK,EWR,LGA) search every from-to pair. Leave empty to use only the searches above.

## `to` (type: `string`):

Destination airport(s) for the date range (IATA code, e.g. NRT, or several: NRT,HND).

## `dateRangeStart` (type: `string`):

First departure date of the range (YYYY-MM-DD or relative, e.g. "+14 days").

## `dateRangeEnd` (type: `string`):

Last departure date of the range (inclusive). Each date and airport pair is one search; a run does up to 500 searches.

## `tripType` (type: `string`):

Round trip gives every search without a returnDate a return flight "Trip length" days after departure. A search with a returnDate is always a round trip. Round-trip prices are the total for the whole trip.

## `tripLengthDays` (type: `integer`):

For round trips without a returnDate: days between departure and return.

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

Adult passengers (prices are the total for all passengers).

## `children` (type: `integer`):

Child passengers aged 2 to 11. Adults plus children can be at most 9.

## `cabin` (type: `string`):

Seat class to price.

## `maxStops` (type: `string`):

Limit the number of stops per itinerary.

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

Currency for prices (ISO code, e.g. USD, EUR, GBP, INR, JPY).

## `country` (type: `string`):

Two-letter country Google Flights searches from (e.g. us, gb, de, in). Fares and availability can differ by point of sale.

## `language` (type: `string`):

Language for airline and airport names (e.g. en, de, fr, es, ja).

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

Optional. Not needed normally: requests go out directly, and if Google rate-limits one, it is retried through Apify Proxy automatically when your plan includes it.

## Actor input object example

```json
{
  "searches": [
    {
      "from": "JFK",
      "to": "LAX",
      "date": "+30 days"
    },
    {
      "from": "LHR",
      "to": "JFK",
      "date": "+45 days",
      "returnDate": "+52 days"
    }
  ],
  "tripType": "one-way",
  "tripLengthDays": 7,
  "adults": 1,
  "children": 0,
  "cabin": "economy",
  "maxStops": "any",
  "currency": "USD",
  "country": "us",
  "language": "en",
  "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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searches": [
        {
            "from": "JFK",
            "to": "LAX",
            "date": "+30 days"
        },
        {
            "from": "LHR",
            "to": "JFK",
            "date": "+45 days",
            "returnDate": "+52 days"
        }
    ]
};

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

# Prepare the Actor input
run_input = { "searches": [
        {
            "from": "JFK",
            "to": "LAX",
            "date": "+30 days",
        },
        {
            "from": "LHR",
            "to": "JFK",
            "date": "+45 days",
            "returnDate": "+52 days",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("tenfoldfleet/google-flights-scraper").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 '{
  "searches": [
    {
      "from": "JFK",
      "to": "LAX",
      "date": "+30 days"
    },
    {
      "from": "LHR",
      "to": "JFK",
      "date": "+45 days",
      "returnDate": "+52 days"
    }
  ]
}' |
apify call tenfoldfleet/google-flights-scraper --silent --output-dataset

```

## MCP server setup

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

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/tiVkd88NvRF5WKNGN/builds/Hxqp0iXPMhDzEavYb/openapi.json