Hopper Flight Price Scraper ✈️ — flight fares, buy/wait price predictions and a whole-month cheapest-dates calendar

Hopper Flight Price Scraper — Scrapes flight search results, Hopper's buy-now/wait price PREDICTION and the whole-month cheapest-dates calendar from the Hopper mobile API. Read-only public travel data. It reads Hopper's own API directly, so it's fast, reliable and complete — no flaky HTML parsing, no headless browser. Export to JSON, CSV, Excel, or an API.

---

Note on includeCalendar

Calendar rows are emitted before flight rows, so the calendar is never truncated away by a long list of flights. The consequence is that a small maxItems can be filled entirely by calendar dates, leaving no flight rows in that run — the log says so explicitly when it happens. Raise maxItems (a month is typically 60–120 dates) if you want both kinds in one run.

Round trips

Set a return date and prices are the round-trip total. Hopper returns return legs through a separate step, so each record describes the outbound itinerary priced as the round trip; there are deliberately no half-empty return-leg columns.

✨ Why use this Hopper Flight Price Scraper?

• 🟢 No code required — set your input, click Start, download your data.
• ⚡ Fast & accurate — reads Hopper's own private API and returns structured JSON, not scraped HTML.
• 🧾 Rich, structured data — every field below, clean and ready to use.
• 🔮 Hopper's own price prediction — the buy-now/wait verdict, dealness and forecast target price, which exist only in the app and have no public web equivalent.
• 📅 Whole-month cheapest-dates calendar — every date bucketed by price floor, in one run.
• 💸 Transparent pay-per-result pricing — pay only for the rows you get.
• 📤 Export anywhere — JSON, CSV, Excel, XML, or pull it live via the Apify API.

---

🎯 What can you do with Hopper flight data?

• Market & competitor research — analyse Hopper flight records at scale.
• Price & availability monitoring — track changes over time.
• Data science & trend analysis — build clean datasets.
• Lead generation & enrichment — feed Hopper flight data into your own tools.

---

📥 What data does the Hopper Flight Price Scraper extract?

Each row includes: type, origin, destination, departure_date, return_date, trip_type, price_total, price_display, currency, primary_carrier, carrier_codes, stops, duration_minutes, layover_minutes …and more. See the full Data table below.

---

🚀 How to scrape Hopper (3 steps)

1. Set your input — provide origin or destination (see the table below; defaults work out of the box).
2. Pick options — filters, a proxyConfiguration, and a maxItems cap.
3. Run & export — click Start, then download the dataset as JSON/CSV/Excel or fetch it via the API.

---

⚙️ Input

Field	Type	Default	Description
origin	string	JFK	Airport or city — an IATA code (JFK, NYC) or a name like "New York". Names are resolved through Hopper's own autocomplete.
destination	string	LAX	Airport or city — an IATA code (LAX, PAR) or a name like "Paris".
departureDate	string	–	Outbound date. Pick a date or use a relative value like "30 days". Empty = 30 days from today.
returnDate	string	–	Return date for a round trip. Leave empty for one-way.
adults	integer	1	Number of adult passengers.
children	integer	0	Number of child passengers.
includePrediction	boolean	true	Attach Hopper's buy-now/wait verdict and headline to each flight record.
includeCalendar	boolean	false	Also emit one record per date in the whole-month cheapest-dates grid.
maxItems	integer	100	0 = all results.
proxyConfiguration	object	Apify Proxy	Route requests through a proxy. RESIDENTIAL is the default: Hopper serves its mobile API from a CDN that can reject datacentre egress.

Example input

{
  "origin": "JFK",
  "destination": "LAX",
  "adults": 1,
  "children": 0,
  "includePrediction": true,
  "includeCalendar": false,
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

---

📤 Output

Each result is a JSON object like this:

{
  "type": "flight",
  "origin": "JFK",
  "destination": "CDG",
  "departure_date": "2026-09-24",
  "return_date": null,
  "trip_type": "one_way",
  "price_total": 328.5,
  "price_display": "$329",
  "currency": "USD",
  "primary_carrier": "DL",
  "carrier_codes": [
    "DL"
  ],
  "stops": 0,
  "duration_minutes": 445,
  "layover_minutes": 0,
  "departure_time": "2026-09-24T23:30:00.000",
  "arrival_time": "2026-09-25T12:55:00.000",
  "fare_brand": "DELTA MAIN BASIC",
  "labels": [],
  "is_cheapest": true,
  "segments": [
    {
      "origin": "JFK",
      "destination": "CDG",
      "departure_time": "2026-09-24T23:30:00.000",
      "arrival_time": "2026-09-25T12:55:00.000",
      "carrier": "DL",
      "flight_number": "8742"
    }
  ],
  "fare_id": "eyJ2YWx1ZSI6IjBlOTI2YTIwLTE0OTEtNDNlYS05OTBmLTJhNmFlZTUxOGQzZiIsIkFwcEZhcmVJZCI6IlJlZ3VsYXJGYXJlSWQifQ==",
  "slice_id": "Me262Jv60jEWZK5Jte9hPXWz",
  "prediction_recommendation": "buy",
  "prediction_headline": "You should book now.",
  "calendar_date": null,
  "calendar_price_level": null,
  "prediction_body": "This is the lowest prices are likely to go, so now is a good time to book. If you're not ready to buy, watch for deals: you could still save $9 per ticket.",
  "prediction_dealness": "fair",
  "prediction_lowest_price": "$329 one way",
  "prediction_forecast_target_price": {
    "amount": 319.3537070680841,
    "currency": "USD"
  }
}

---

🧾 Data table

Field	Type	Description
type	text	Record type
origin	text	Origin
destination	text	Destination
departure_date	text	Departure date
return_date	text	Return date
trip_type	text	Trip type
price_total	number	Price
price_display	text	Price (display)
currency	text	Currency
primary_carrier	text	Primary airline
carrier_codes	array	Airline codes
stops	number	Stops
duration_minutes	number	Duration (min)
layover_minutes	number	Layover (min)
departure_time	text	Departs
arrival_time	text	Arrives
fare_brand	text	Fare brand
labels	array	Labels
is_cheapest	boolean	Cheapest
segments	array	Segments
fare_id	text	Fare ID
slice_id	text	Slice ID
prediction_recommendation	text	Prediction
prediction_headline	text	Prediction headline
calendar_date	text	Calendar date
calendar_price_level	text	Price level
prediction_body	text	Prediction detail
prediction_dealness	text	Dealness
prediction_lowest_price	text	Lowest price
prediction_forecast_target_price	text	Forecast target

---

💰 Pricing — pay per result

This actor uses pay-per-event pricing: you pay only for the rows it delivers.

You scrape	Price
Flight option	$1.00 per 1,000 rows

---

🔌 Use the Hopper Flight Price Scraper via API

Run it programmatically with the Apify API:

curl -X POST "https://api.apify.com/v2/acts/hopper-api-scraper/runs?token=YOUR_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{
  "origin": "JFK",
  "destination": "LAX",
  "adults": 1,
  "children": 0,
  "includePrediction": true,
  "includeCalendar": false,
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}'

Or with the Apify CLI: apify call hopper-api-scraper -i input.json -o.

---

❓ FAQ

Do I need an account or API key for Hopper Flight Price?

No. The actor talks to Hopper's public/mobile API for you — you only need an Apify account.

Do I need a proxy?

A proxy is recommended for reliable runs; set proxyConfiguration (Residential is safest for geo-restricted or bot-protected sites).

What export formats are supported?

JSON, CSV, Excel, XML, JSONL, RSS, or live via the Apify API and dataset endpoints.

Is scraping this legal?

You are responsible for how you use the data. Scrape only public record data and comply with Hopper's Terms and applicable law (e.g. GDPR/CCPA for personal data).

---

🛠️ How it works

The actor impersonates Hopper's official app/site and calls its private API the same way the app does, then normalises each response into the flat record above. No browser, no HTML scraping — just clean, structured data.

---

📌 Good to know

• Scrape only public record data and respect Hopper's Terms of Service and robots policy.
• For personal data, comply with GDPR/CCPA and applicable law — you are the data controller.
• Fields can be null when Hopper doesn't expose them for a given record.

---

⭐ Found this useful?

Give the Hopper Flight Price Scraper a star on Apify and check out my other apify-*-api-scraper actors.