Travel

Scrape Google Flights Data into Google Sheets

Pull real-time flight prices, schedules, airlines, and route details from Google Flights into your spreadsheet with a single formula. Build your own fare tracker without writing code.

Google Sheets
A — Input
B — Formula
C — Result
JFK → LAX, 2025-03-15
...
ORD → LHR, 2025-04-01
=SCRAPE_GOOGLE_FLIGHTS("ORD", "LHR", "2025-04-01", "2025-04-08", "airline")
United Airlines
SFO → NRT, 2025-05-10
=SCRAPE_GOOGLE_FLIGHTS("SFO", "NRT", "2025-05-10", "", "duration")
11h 15m

Use Cases

How professionals use this scraper to get real results

Flight Price Monitoring

Track airfare for specific routes over days or weeks to identify the cheapest booking window. Set up sheets that refresh daily and highlight when fares drop below your budget.

Travel Cost Comparison

Compare prices across multiple departure airports, airlines, and date combinations side by side. Find the most cost-effective itinerary without switching between browser tabs.

Budget Travel Research

Scan dozens of destination routes at once to discover where you can fly for the least money. Perfect for flexible travelers looking for the best deal on any given weekend.

Corporate Travel Management

Build internal dashboards that track flight costs for common business routes. Help your finance team forecast travel budgets and enforce booking policies with live fare data.

12 Data Points You Can Extract

Structured data from Google Flights, delivered straight to your cells

Airline
Price
Departure Time
Arrival Time
Duration
Stops
Cabin Class
Carbon Emissions
Booking Link
Layover Airport
Aircraft Type
Fare Class

Formula Examples

Copy these formulas directly into Google Sheets

Returns the cheapest one-way fare from New York JFK to Los Angeles LAX on the specified date.

=SCRAPE_GOOGLE_FLIGHTS("JFK", "LAX", "2025-03-15", "", "price")

Extracts the airline, fare, and travel time for the best round-trip option from Chicago to London into adjacent cells.

=SCRAPE_GOOGLE_FLIGHTS("ORD", "LHR", "2025-04-01", "2025-04-08", "airline,price,duration")

Returns the number of stops for the top flight result from San Francisco to Tokyo Narita.

=SCRAPE_GOOGLE_FLIGHTS("SFO", "NRT", "2025-05-10", "", "stops")

Why Use This Scraper

Built for speed, reliability, and ease of use

Real-Time Fare Data

Fetch current flight prices and availability from Google Flights every time your sheet recalculates. No stale data -- always see what travelers see right now.

Round-Trip & One-Way Support

Search for one-way flights by leaving the return date empty, or get round-trip pricing by specifying both dates. Flexible enough for any travel planning workflow.

Multi-Route Bulk Search

List departure and arrival airport codes in columns, drag your formula down, and scrape pricing for dozens of routes in a single pass. No API keys or configuration needed.

Detailed Flight Attributes

Go beyond price -- extract airline names, departure and arrival times, layover counts, flight duration, cabin class, and even estimated carbon emissions for each itinerary.

How It Works

Three steps to structured data in your spreadsheet

1

Install the Add-on

Install Unlimited Sheets from the Google Workspace Marketplace. Free to get started.

2

Set Your API Key

Add your HasData API key in the add-on settings. Get one free at hasdata.com.

3

Use the Formula

Type =SCRAPE_GOOGLE_FLIGHTS() in any cell and get structured data instantly.

Enterprise-Grade Infrastructure

Built to Scrape at Any Scale

Every request passes through battle-tested infrastructure — anti-bot evasion, proxy rotation, CAPTCHA solving, and full browser rendering, all handled automatically.

Anti-Bot Bypass

Automatically evades Cloudflare, DataDome, Akamai, PerimeterX, and other bot detection systems without any extra configuration.

CAPTCHA Handling

Solves CAPTCHAs automatically in the background, so your data extraction never gets stuck waiting for human verification.

Smart Proxy Rotation

Requests are automatically routed through residential and datacenter proxies across 195+ countries. No proxy management on your end.

JavaScript Rendering

Full headless browser rendering for JavaScript-heavy sites built with React, Angular, Vue, or any other framework.

Structured JSON Output

Every response is clean, structured JSON — parsed, normalized, and ready to use. No HTML cleanup or regex needed.

Auto-Retry & Error Handling

Failed requests are automatically retried with exponential backoff. You get data or a clear error — never silent failures.

Effortless Scaling

Scale from a few requests to millions without changing your setup. 99.9% uptime backed by enterprise-grade infrastructure.

WAF & Fingerprint Bypass

Bypasses Web Application Firewalls, IP fingerprinting, and TLS fingerprinting with browser-grade request signatures.

100% Legal & Compliant

We only extract publicly available data, fully compliant with US and EU regulations. No login credentials or private data accessed.

Developer-First Support

Get help directly from the engineers who build and maintain the scrapers. No ticket queues, no outsourced call centers.

Trusted by Data Teams Worldwide

Teams at agencies, startups, and enterprises use Unlimited Sheets to extract structured data at scale.

We replaced three different scraping tools with Unlimited Sheets. Having structured data from Amazon, Google Maps, and Zillow land directly in our spreadsheets saves our team hours every week.
S

Sarah Chen

Growth Lead at DataFirst Agency

The anti-bot bypass actually works. We were getting blocked constantly with other tools, but haven't had a single failed request in months. The proxy rotation is seamless.
M

Marcus Rivera

SEO Manager at Rankify

I track 500+ competitor prices on Amazon every day. Just a column of ASINs and SCRAPE_AMAZON — that's it. No scripts, no Python, no broken scrapers to maintain.
E

Emily Park

E-Commerce Analyst at ShopMetrics

Our real estate team pulls Zillow and Redfin listings into Sheets for market analysis. The data is always structured and ready to use — no cleanup needed.
J

James Thornton

Real Estate Investor at Thornton Capital

We use the Google Maps scraper for lead generation — pulling business names, phone numbers, and ratings directly into our CRM spreadsheet. Game changer for outbound.
P

Priya Sharma

Sales Operations at LeadEngine

The fact that it handles CAPTCHAs and JavaScript rendering under the hood is what sold me. I just write a formula and get data. No infrastructure to worry about.
D

David Kim

Product Manager at Nexus Analytics

Frequently Asked Questions

How do I scrape Google Flights data into Google Sheets?

Install the Unlimited Sheets add-on from the Google Workspace Marketplace. Then use the =SCRAPE_GOOGLE_FLIGHTS() formula with departure airport, arrival airport, outbound date, optional return date, and the data field you want (e.g., "price", "airline"). Flight data appears directly in your cell.

Can I track flight prices over time with this scraper?

Yes. Set up a sheet with your route and date parameters, then use Google Sheets' built-in time-driven triggers or manual refresh to log prices daily. Over time you will build a fare history that helps you identify the best booking window.

Does the Google Flights scraper support round-trip searches?

Yes. Pass both an outbound date and a return date to get round-trip pricing. If you only pass the outbound date and leave the return date empty, the scraper returns one-way fares.

How many flight searches can I run per month?

Pro plans include 1,000 scraper credits and Business plans include 10,000 credits per month. Each flight search uses one credit. You can scrape many routes at once by listing airport codes in columns and applying the formula.

Which airports and airlines does the scraper cover?

The scraper covers every airport and airline listed on Google Flights, which includes virtually all commercial routes worldwide. Use standard IATA airport codes (e.g., JFK, LAX, LHR, NRT) as your departure and arrival parameters.

Start Scraping Google Flights Data Today

Install the free Google Sheets add-on, add your HasData API key, and start extracting structured data in seconds.