# Google Flights Pro Scraper (`scrapeai/google-pro-flights-actor`) Actor

Scrape Google Flights search results to extract flight details, airlines, prices, departure and arrival times, duration, stops, baggage info, emissions estimates, and other available metadata. Export data to JSON, CSV, Excel, or API for travel research and fare analysis.

- **URL**: https://apify.com/scrapeai/google-pro-flights-actor.md
- **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (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 $3.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Google Flights Scraper

Scrapes flight search results with prices and airline info from Google.

***

### How to Run on Apify

1. Go to [apify.com](https://apify.com) and sign in.
2. Find **Google Flights Scraper** in the Apify Store.
3. Click **Try for free** and configure the input.
4. Click **Start** to run the actor.
5. View results in the **Dataset** tab of the actor run.

***

### Input

Configure via the Apify Console or by passing a JSON input:

```json
{
    "query": "example search",
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}
```

See `input_schema.json` for the full list of supported input fields.

***

### Output

Results are stored in the **Apify Dataset**. Each record includes:

- Core data fields specific to this actor's content type
- A `metadata` object with: `url`, `crawledAt`, `actorId`, `runId`

***

### Key Features

- Residential proxy support via Apify Proxy (RESIDENTIAL group)
- Automatic Google consent/cookie wall handling
- CAPTCHA detection with detailed warnings
- Pagination support for large result sets
- Clean, structured dataset output

***

### Proxy Configuration

Uses Apify Residential proxies by default:

```json
{
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
}
```

Switch to datacenter proxies or your own proxy by modifying `proxyConfiguration` in the input.

# Actor input Schema

## `origin` (type: `string`):

Origin airport IATA code (e.g. JFK)

## `destination` (type: `string`):

Destination airport IATA code (e.g. LAX)

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

Departure date in YYYY-MM-DD format

## `returnDate` (type: `string`):

Return date in YYYY-MM-DD format (leave empty for one-way)

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

Number of adult passengers or guests

## `travelClass` (type: `string`):

Cabin class for the flight (economy, business, first)

## `maxResults` (type: `integer`):

Maximum number of results to return

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

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

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

Proxy configuration. Use Apify Proxy with RESIDENTIAL group for best results.

## Actor input object example

```json
{
  "origin": "JFK",
  "destination": "LAX",
  "adults": 1,
  "travelClass": "economy",
  "maxResults": 50,
  "currency": "USD",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "origin": "JFK",
    "destination": "LAX",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeai/google-pro-flights-actor").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 = {
    "origin": "JFK",
    "destination": "LAX",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapeai/google-pro-flights-actor").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 '{
  "origin": "JFK",
  "destination": "LAX",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call scrapeai/google-pro-flights-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapeai/google-pro-flights-actor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ivQSgQK7xVoj3BJHk/builds/W9CNmiXRsyz5GXhXv/openapi.json