Priceline Flight Price Scraper

Get a flexible-date fare matrix for any flight route from Priceline.com. Give it an origin, a destination and a date window, and it returns the cheapest fare for every departure/return date combination — with the validating carrier, number of stops per leg, take-off and landing times, and the exact airports chosen. Ideal for building price calendars and finding the cheapest day to fly.

Built on Priceline's official fare API, so you get clean structured JSON without fighting anti-bot defenses.

Who it's for

• Travel analysts & fare researchers — cheapest-day analysis and price calendars across a date window.
• Deal sites & travel apps — power a "cheapest dates to fly" widget.
• Developers & data teams — a reliable structured fare feed for any route.

What you get (output fields)

Field	Description
route, origin, destination	Route and IATA codes
dates	Departure (and return) dates YYYY-MM-DD
display_date	Human-friendly date-range label
display_price, amount_per_pax, currency	Fare price
validating_carrier	Airline (IATA code)
cabin_class, adults	Cabin and passengers priced
stops_per_slice	Stops per leg
takeoff_times, landing_times	Times per leg
origins, destinations	Actual airports chosen per leg
scraped_at	ISO-8601 scrape timestamp

Use cases

• Cheapest-day-to-fly calendars — sweep ± days around your dates and rank by price.
• Route price monitoring — schedule daily runs and track fares over time.
• Fare-comparison products — feed Priceline fares into a multi-source app.

Input

Field	Type	Default	Description
origin	string	JFK	Origin IATA code
destination	string	LAX	Destination IATA code
departDate	string	+30d	Departure YYYY-MM-DD
returnDate	string	+37d	Return YYYY-MM-DD (empty = one-way)
adults	integer	1	Passengers
cabinClass	enum	ECO	ECO, PREMIUM_ECO, BUSINESS, FIRST
dateFlex	integer	3	± days around each date (0–7)
maxItems	integer	100	Cap on rows
proxyConfiguration	object	Apify residential	Proxy settings

Example input

{
    "origin": "JFK",
    "destination": "LAX",
    "departDate": "2026-09-01",
    "returnDate": "2026-09-08",
    "cabinClass": "ECO",
    "dateFlex": 3
}

Example output row

{
    "route": "JFK-LAX",
    "display_date": "Aug 29–Sep 5",
    "dates": ["2026-08-29", "2026-09-05"],
    "display_price": "352",
    "amount_per_pax": 351.8,
    "currency": "USD",
    "validating_carrier": "B6",
    "cabin_class": "ECO",
    "stops_per_slice": [0, 0],
    "takeoff_times": ["18:50", "23:13"],
    "landing_times": ["21:59", "07:33"],
    "scraped_at": "2026-07-21T00:00:00Z"
}

Scheduling & integrations

Schedule daily runs to build a fare-history dataset, or call it via the Apify API and pipe results to Sheets, a database or a webhook. Exports to JSON, CSV, Excel and HTML.

AI assistants (MCP)

Want to query Priceline fares live from Claude, ChatGPT or Cursor? Use the companion Priceline Travel MCP Server actor.

FAQ

Is this a full itinerary search? It returns the cheapest fare per date combination (a fare matrix / price calendar), not every individual itinerary — perfect for finding the best dates and price to fly.

How fresh is the data? Live — each run queries Priceline in real time.

One-way or round-trip? Both — leave returnDate empty for one-way.

Is scraping this legal? The actor collects publicly available fare data. You are responsible for using it in line with applicable laws and Priceline's terms.