Naver Hotels Reviews Scraper API

Scrape Naver hotel ratings and guest feedback volume. Collect Naver Hotels data such as hotel name, rating, review count, star classification, district, address, and listing URL.

5K free records/month · Credit card not required

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#1

Ranked (by AIMultiple)

99.2%

Avg. success rate

100M+

Requests weekly

400M+

Proxy IPs built in

GDPR & CCPA

Compliant
Pricing

Naver Hotels Reviews Scraper API Pricing

Only pay for what’s successfully delivered. No hidden fees, no charges for failed deliveries.

CALCULATE YOUR COST
Records per month: 5K
$/mo
$ per 1,000 records
Your whole bill. Proxies, unblocking, parsing included.
Get started
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  • Pay only for success, no hidden fees
  • Start free with 5,000 monthly credits
  • No upfront commitment, cancel anytime
  • 24/7 expert support and enterprise features
Free Tier
5K
records
Start free
  • 5K records per month
  • No credit card required
  • Expert support
Pay as you go
$1.5/1K record
Start free
  • Pay only for success
  • Set monthly spend limits
  • Unlimited concurrency
  • Expert support
Scale
$499 /month
Start free
  • 384,000 records included
  • $1.3/1K additional records
  • Unlimited concurrency
  • Cancel anytime
  • Expert support
Enterprise
Custom
Talk to sales
  • Volume discounts
  • Account manager
  • Premium SLA
  • Priority support
  • SSO
Most platforms stack extra charges on top of the per-record rate. With Bright Data, the record price is the whole bill:
Compute / runtime units
commonly billed per scraper runtime hour or compute unit
Included
Residential proxy bandwidth
commonly billed per GB
Included
Storage & dataset retention
commonly billed per GB-month
Included
Data transfer / egress
commonly billed per GB out
Included
Unblocking & CAPTCHA solving
commonly a paid add-on
Included
Parsing to structured JSON
commonly your own code
Included
We accept these payment methods:
How it works

From zero to Naver Hotels Reviews data in 3 steps

No proxies to configure, no infrastructure to manage. Pick, call, and receive.
  1. Pick a scraper

    Choose from the Naver Hotels Reviews scrapers above or create your own with AI in minutes.

  2. Call the API

    One API call with up to 5,000 target URLs. Python and Node.js SDKs, CLI, MCP server, or any HTTP client.

  3. Get structured data

    Receive clean, parsed Naver Hotels Reviews data in JSON, NDJSON, or CSV. Delivered via API, webhook, or cloud storage.

Scraper API Call
curl -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -d '[{"url":"https://hotels.naver.com/accommodation/search/detail/domestic/11629666?dAdultCnt=2\u0026dCheckIn=2026-03-23\u0026dCheckOut=2026-03-24"}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_mmt7ee9m1r245mjv0v&format=json&uncompressed_webhook=true"
Response payload
[
  {
    "timestamp": "2026-03-18",
    "url": "https:\/\/hotels.naver.com\/accommodation\/search\/%EA%B0%95%EC%9B%90%EB%8F%84%20%EA%B0%95%EB%A6%89%EC%8B%9C\/domestic\/1373607...",
    "hotel_id": "1373607523",
    "hotel_name": "아가바라",
    "rating": null,
    "review_count": null,
    "star_classification": 2,
    "address": "강원특별자치도 강릉시 강릉대로 265-6 "
  },
  {
    "timestamp": "2026-03-18",
    "url": "https:\/\/hotels.naver.com\/accommodation\/search\/%EA%B0%95%EC%9B%90%EB%8F%84%20%EA%B0%95%EB%A6%89%EC%8B%9C\/domestic\/1397411...",
    "hotel_id": "1397411156",
    "hotel_name": "강릉스테이서정펜션",
    "rating": null,
    "review_count": null,
    "star_classification": 3,
    "address": "강원특별자치도 강릉시 사천면 해안로 940 "
  },
  {
    "timestamp": "2026-04-06",
    "url": "https:\/\/hotels.naver.com\/accommodation\/search\/detail\/domestic\/1899858573?dAdultCnt=2\u0026dCheckIn=2026-04-22\u0026dCheckOut=2026-...",
    "hotel_id": "1899858573",
    "hotel_name": "AndSeoul Hostel",
    "rating": 10,
    "review_count": "1",
    "star_classification": 3,
    "address": "서울특별시 중구 퇴계로20나길 36 AndSeoul Hostel"
  },
  {
    "timestamp": "2026-09-27",
    "url": "https:\/\/hotels.naver.com\/accommodation\/search\/detail\/domestic\/2034900723?dAdultCnt=2\u0026dCheckIn=2026-10-23\u0026dCheckOut=2026-...",
    "hotel_id": "2034900723",
    "hotel_name": "청수당스테이 북촌",
    "rating": null,
    "review_count": null,
    "star_classification": 3,
    "address": "서울특별시 종로구 율곡로3길 66-7 "
  },
  {
    "timestamp": "2026-09-27",
    "url": "https:\/\/hotels.naver.com\/accommodation\/search\/detail\/domestic\/1984599625?dAdultCnt=2\u0026dCheckIn=2026-10-23\u0026dCheckOut=2026-...",
    "hotel_id": "1984599625",
    "hotel_name": "공심가 한옥 게스트하우스",
    "rating": 8.3,
    "review_count": "445",
    "star_classification": 2,
    "address": "서울특별시 종로구 율곡로1길 46 1층"
  }
]
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World's #1 scraping platform

Everything you need, built in

You pay for results. Proxies, rendering, concurrency, and delivery are always included, on every plan.

Go straight to the source

Every request runs on Bright Data infrastructure. 400M+ IPs, unlocking and browsers are built in.

Scale to millions of pages instantly

Send unlimited concurrent requests - no infrastructure to manage, no configs to change.

Scrapers auto-fix when sites change

AI-powered self-healing detects site changes and repairs scrapers. Your pipelines keep running.

Thousands of verified scrapers

Every scraper is built, tested, and maintained by Bright Data. No community guesswork.

Pay per result, nothing extra

One price per record . Proxies, retries, rendering, unblocking - all included, no surprises.

Compliant and fully supported

GDPR & CCPA compliant. 24/7 human support on every plan, including free.
Use cases

Naver Hotels Reviews data scraping use cases

Real-time Naver Hotels Reviews intelligence for your business.

Guest satisfaction benchmarking

Rating
Review count
Hotel name
Scrape ratings with review counts to compare guest satisfaction across properties on a like-for-like basis. A rating without volume behind it is noise, and this pairing is what makes the comparison meaningful.

District-level analysis

District
Rating
Review count
Aggregate ratings and review volume by district to see which areas consistently satisfy guests. It shows where a new property would face strong incumbents and where the bar is lower. It also shows which districts are saturated with well-reviewed supply and which have room for a new entrant.

Star class versus satisfaction

Star classification
Rating
Hotel name
Compare official star classification against guest ratings to find properties over- or under-performing their class. Those mismatches are where repositioning and pricing decisions get made. The gap is most pronounced in mid-tier properties, where operations vary far more than the classification suggests.

Reputation tracking

Rating
Review count
URL
Track rating and review count per property over time to catch reputation shifts early. A falling rating paired with rising volume usually signals an operational problem rather than a statistical blip.
Compare Bright Data to others

Web Scraper API vs other providers

Capability
Other scraping providers
Auto-scaling infrastructure
Unlimited
Partial
Anti-bot & CAPTCHA bypass
Built-in
Partial
Residential proxy network
400M+ IPs
Limited pool
Pre-built scrapers
1,400+
50–200
Auto-maintenance (site changes)
24/7
Depends on who built it
Pricing model
One all-in price per record
Compute, proxy, and storage metered separately
Failed requests
Free, pay only for success
Often billed
Custom sites (no pre-built scraper)
AI builds it in minutes, self-healing included
Community-built scrapers, no SLA
Compliance (GDPR, CCPA, SOC 2)
Full
Partial
Structured output (JSON/CSV)
Automatic
Support
24/7 experts, even on the free tier
Community forum
Free tier
5K records/mo
Varies
compliance

Leading the way in ethical web data collection

Only publicly available data. ISO 27001 certified, SOC 2 controls, GDPR & CCPA compliant. Every use case is reviewed by a dedicated Compliance & Ethics team, backed by a documented Know Your Customer process and Acceptable Use Policy.



Bright Data is used by world's top brands

Naver Hotels Reviews Scraper API FAQs

The Naver Hotels Reviews Scraper API is a powerful tool designed to automate data extraction from the Naver Hotels Reviews website, allowing users to efficiently gather and process large volumes of data for various use cases.

The Naver Hotels Reviews Scraper API works by sending automated requests to targeted website, extracting the necessary data points, and delivering them in a structured format. This process ensures accurate and quick data collection.

Yes, the Naver Hotels Reviews Scraper API is designed to comply with data protection regulations, including GDPR and CCPA. It ensures that all data collection activities are performed ethically and legally.

Absolutely! The Naver Hotels Reviews Scraper API is ideal for competitive analysis, allowing you to gather insights into your competitors' activities, trends, and strategies.

The Naver Hotels Reviews Scraper API offers flawless integration with various platforms and tools. You can use it with your existing data pipelines, CRM systems, or analytics tools to improve your data processing capabilities.

Yes! Every new Bright Data account automatically includes 5,000 free credits per month (approximately $7.50 in value) — no credit card required, no promo code, no commitment. These credits apply to Scrapers (including the Naver Hotels Reviews Scraper API), as well as the Unlocker API and SERP API. Credits renew on the 1st of each month, and you can start making API calls immediately after signing up.

When your 5,000 free monthly credits are exhausted, behavior depends on your account balance. If you have pre-deposited funds, usage continues seamlessly at standard PAYG rates with no interruption. If you have no deposited funds, requests will return an error until you add funds or until your credits renew on the 1st of the following month. Note that unused free credits do not roll over.

To avoid interruptions, you can enable auto-recharge in your billing settings at brightdata.com/cp/billing/settings.

There are no specific usage limits for the Naver Hotels Reviews Scraper API, offering you the flexibility to scale as needed.

Yes, we offer dedicated support for the Naver Hotels Reviews Scraper API. Our support team is available 24/7 to assist you with any questions or issues you may encounter while using the API.

Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP.

JSON, NDJSON, JSON lines, CSV, and .gz files (compressed).

Yes. Connect any agent through the hosted MCP server, point a coding agent at brightdata.com/SKILL.md to set itself up, or use the CLI. Agents authenticate once with browser OAuth and can run any of the Naver Hotels Reviews scrapers.

The easiest way to scrape Naver Hotels Reviews data at scale