How to Scrape Expedia in 2026 (API & Python)

The fastest way to scrape Expedia in 2026 is to call a structured API that returns normalized JSON — hotel search, property detail, guest reviews, activities, and flight offers — instead of replaying Expedia's internal endpoints yourself. Expedia is one of the largest global OTAs and a direct Booking.com competitor, but its official API is partner-gated and its pages run behind real anti-bot defenses. This guide covers all three approaches, where DIY breaks, and the legal basics.

Why scrape Expedia data?

Expedia's hotel, activity, and flight data powers:

• Hotel price and availability monitoring — track how a property's nightly rate moves by date, room count, and season.
• Rate-parity checks across OTAs — compare a hotel's Expedia price against Booking.com, Airbnb, and other channels for the same dates.
• Travel-metasearch products — power search and comparison across hotels, activities, and flights for a destination.
• Market research — track pricing, review scores, and inventory by market or property type.
• AI and data pipelines — feed structured travel data into forecasting, itinerary, or recommendation systems.

Is it legal to scrape Expedia?

Option 1: DIY in Python (and why it breaks)

Expedia's hotel and flight pages render from internal JSON endpoints behind a JavaScript front end, so a DIY scraper has to reverse-engineer those calls and pass real browser-shaped headers:

import requests

# Expedia's search UI calls internal endpoints, not a public API
resp = requests.get(
    "https://www.expedia.com/api/hotels/search",
    params={"destination": "New York", "checkIn": "2026-09-10", "checkOut": "2026-09-12"},
    headers={"User-Agent": "Mozilla/5.0 (compatible; research-bot/1.0)"},
)

It demos and then breaks:

• Real anti-bot, not a soft block. Expedia fronts its search and property pages with Akamai-class bot defense — a plain HTTP client gets a challenge or a stripped-down response instead of real data, so you need an actual browser (or a browser-shaped transport), not just realistic headers.
• No self-serve official API. Access to Rapid API requires becoming an approved partner — an application, a review process, and a commercial relationship — not a signup form for a research or monitoring use case.
• Internal endpoints drift. Undocumented request shapes and parameters change without notice, so a scraper tuned to today's response breaks on the next front-end deploy.
• Reliability on heavily-defended sites shifts over time. Even with working headers, a site that leans this hard on bot defense can pass cleanly one month and get blocked the next as its anti-bot rules change — budget for monitoring, not a one-time build.
• Five different surfaces, five different shapes. Locations, properties, activities, and flights are separate products with separate response shapes — covering all of them means several integrations, not one.

Option 2: No-code / ready-made tools

Marketplace scraper actors and visual extractors exist for Expedia hotel search specifically and suit one-off pulls, but they inherit the same anti-bot fragility as DIY, don't cover activities or flights in the same tool, and are awkward to run on a schedule inside a product pipeline.

Option 3: A structured Expedia API

For a repeatable workflow across hotels, activities, and flights, an Expedia scraping API returns normalized JSON with no browser fleet or endpoint reverse-engineering to maintain. Resolve a destination to a region id:

curl -X POST https://api.crawlora.net/api/v1/expedia/locations/search \
  -H "x-api-key: $CRAWLORA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"term": "New York", "currency": "USD", "locale": "en_US"}'

Search hotels, then pull detail, reviews, activities, and flights in Python:

import requests

h = {"x-api-key": "YOUR_API_KEY", "Content-Type": "application/json"}
base = "https://api.crawlora.net/api/v1/expedia"

hotels = requests.post(f"{base}/properties/search", headers=h, json={
    "destination": "New York", "check_in": "2026-09-10", "check_out": "2026-09-12",
    "adults": 2, "rooms": 1, "page": 1, "page_size": 5, "currency": "USD", "locale": "en_US",
}).json()["data"]["properties"]
property_id = hotels[0]["id"]

detail = requests.post(f"{base}/properties/detail", headers=h, json={
    "property_id": property_id, "check_in": "2026-09-10", "check_out": "2026-09-12",
    "adults": 2, "currency": "USD", "locale": "en_US",
}).json()["data"]

reviews = requests.post(f"{base}/properties/reviews", headers=h, json={
    "property_id": property_id, "check_in": "2026-09-10", "check_out": "2026-09-12",
}).json()["data"]["reviews"]

activities = requests.post(f"{base}/activities/search", headers=h, json={
    "destination": "New York", "start_date": "2026-09-10", "end_date": "2026-09-17",
}).json()["data"]["activities"]

flights = requests.post(f"{base}/flights/search", headers=h, json={
    "origin": "JFK", "destination": "LAX", "departure_date": "2026-09-10",
    "return_date": "2026-09-17", "trip_type": "round_trip", "adults": 1, "cabin_class": "COACH",
}).json()["data"]["offers"]

A hotel search response is normalized JSON you can store directly (fields shown are real — check the docs):

{
  "code": 200,
  "msg": "OK",
  "data": {
    "destination": "New York, New York, United States of America",
    "check_in": "2026-09-10",
    "check_out": "2026-09-12",
    "page": 1,
    "properties": [
      {
        "id": "17117062",
        "name": "Example Hotel New York",
        "url": "https://www.expedia.com/New-York-Hotels-Example-Hotel.h17117062.Hotel-Information",
        "review_score": 8.8,
        "review_count": 2140,
        "review_title": "Excellent",
        "price": "$1,386 total",
        "strikeout_price": "$1,705",
        "nightly_price": "$556 nightly",
        "thumbnail_url": "https://images.trvl-media.com/lodging/17100000/17110000/17117100/17117062/example.jpg",
        "badges": ["VIP Access", "Member Price $319 off"]
      }
    ]
  }
}

Property detail (by property_id) adds address, amenities, city, province, country_code, latitude/longitude, star_rating, and vip_message; properties/filters returns the available filter sections (price range, amenities, sort options) for a destination; properties/reviews returns per-review reviewer_name, date, rating_label, message, and verified. activities/search returns per-activity name, duration, review_score, price, and free_cancellation. flights/search returns per-offer airline, route, departure_time/arrival_time, stops, duration_summary, and price — cabin_class must be COACH, PREMIUM_ECONOMY, BUSINESS, or FIRST. Store one row per property or offer per date pulled, and re-run on a schedule to track price and availability.

What you can collect

Public location, property, and fare data: location search (region id, geo type, coordinates); hotel search results (id, name, price, nightly price, review score, badges, thumbnail); property detail (address, amenities, star rating, coordinates); available filters and sort options for a destination; guest reviews (reviewer name, date, rating, text); activities (name, duration, price, review score, cancellation policy); and flight offers (airline, route, times, stops, price). Public listing and review data only.

Limitations

• Requires real anti-bot handling. Expedia's Akamai-class defenses mean a naive HTTP client won't reliably reach content — budget for browser-shaped transport, not just headers.
• No self-serve official API. Rapid API is a partner product with a commercial relationship — not a fit for a research or monitoring use case.
• Reliability on heavily-defended targets can shift. Even a working integration should be monitored — anti-bot rules on a site this heavily defended change over time.
• Prices are dynamic and date-dependent. A single snapshot only covers the dates, occupancy, and cabin class you searched — re-pull per date range you care about.
• Five separate surfaces. Locations, properties, activities, and flights don't share a schema — treat them as separate integrations even within one platform.
• Public data only. This collects what's publicly listed — never a way to complete or manipulate an actual booking.

Where this gets used

• Hotel price and availability monitoring — track a property's rate and occupancy over time. See travel & hospitality research.
• Review and reputation analysis — aggregate guest sentiment by property or destination. See review & reputation monitoring.
• Market research — combine hotel, activity, and flight pricing for a destination or route. See market research.

Sources

Start collecting

Try it first, free: run any public URL through the Free Web Scraper, or check whether a site blocks bots with the Anti-Bot Checker — no signup.

Test the location, property, activity, and flight endpoints in the Playground, check the schema in the API docs, and review pricing. Expedia is one of the largest global OTAs; how to scrape Booking.com covers a direct competitor, and how to scrape Airbnb covers the short-term-rental side of the same trip. See also is web scraping legal.

Part of our how-to-scrape guide series — every platform we cover, in one index.