We extract PC component specifications, multi-vendor price aggregations, historical pricing charts, and user reviews from Danawa. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Component Specs objects from danawa.com. All fields typed and schema-versioned.
"pcode": "19400579", "product_name": "AMD Ryzen 5 7600 (Raphael)", "manufacturer": "AMD", "category": "PC Components", "socket_type": "AM5", "tdp": "65W", "release_date": "2023-01", "spec_summary": "AMD(Socket AM5) / 5nm / 6-Core / 12-Thread / Base 3.8GHz"
| # | pcode | product_name | manufacturer | category | sub_category | release_date |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Vendor Pricing objects from danawa.com. All fields typed and schema-versioned.
"pcode": "19400579", "vendor_name": "Compuzone", "vendor_type": "Official Mall", "base_price": 245000, "shipping_fee": 3000, "card_discount_price": 235000, "applicable_cards": "['Samsung', 'KB Kookmin']", "stock_status": "In Stock"
| # | pcode | vendor_id | vendor_name | vendor_type | base_price | shipping_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Price History objects from danawa.com. All fields typed and schema-versioned.
"pcode": "19400579", "date": "2023-10-15", "lowest_price": 230000, "average_price": 241500, "highest_price": 265000, "vendor_count": 84, "currency": "KRW"
| # | pcode | date | lowest_price | average_price | highest_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for User Reviews objects from danawa.com. All fields typed and schema-versioned.
"review_id": "rv_948172", "pcode": "19400579", "rating": 5.0, "author": "pcbuilder99", "content": "Excellent value for AM5 builds. Temperatures are very manageable with the stock cooler.", "upvotes": 14, "review_date": "2023-11-02", "mall_purchased": "11st"
| # | review_id | pcode | author | rating | review_date | content |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for PC Builder Quotes objects from danawa.com. All fields typed and schema-versioned.
"quote_id": "est_59281", "cpu_pcode": "19400579", "gpu_pcode": "18934512", "ram_pcode": "17482910", "total_parts_price": 1450000, "assembly_fee": 35000, "final_price": 1485000, "vendor_name": "Joyzen"
| # | quote_id | cpu_pcode | gpu_pcode | ram_pcode | motherboard_pcode | storage_pcode |
|---|---|---|---|---|---|---|
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Danawa's DOM is complex, heavily nested, and reliant on asynchronous JavaScript for pricing data. We handle the extraction logic, Korean text encoding, and IP rotation natively.
Extract detailed hardware specs from Danawa's variable tables. We normalise socket types, TDP, memory speeds, and dimensions into structured JSON.
Capture the full vendor list for every product, distinguishing between open market sellers and official shopping malls with accurate base prices.
Extract conditional pricing data including specific credit card discounts, cash-only pricing, and variable shipping fees per vendor.
Reconstruct Danawa's price trend graphs into structured time-series data, capturing lowest and average price fluctuations over time.
Scrape user reviews, star ratings, and uploaded build images across product pages to gauge consumer sentiment and hardware reliability.
Extract pre-configured PC build quotes and compatibility flags from Danawa's virtual PC estimate system.
Handle EUC-KR and UTF-8 encoding issues natively, ensuring accurate extraction of Korean product names, categories, and review text.
Render JavaScript-heavy vendor lists and pagination using Playwright to ensure no hidden pricing data is missed.
Monitor highly volatile components like GPUs and CPUs with hourly pipelines to capture rapid price drops and stock changes.
Brief in. Clean data out.
Provide Danawa category URLs, specific pcodes, or search queries. We define the schema based on your target components.
We configure Scrapy and Playwright, set up Korean residential proxies, and write custom parsers for Danawa's nested spec tables.
We test encoding accuracy, validate price normalisation, and ensure vendor lists render completely before full deployment.
Clean, normalised data delivered to your S3 bucket, Snowflake stage, or PostgreSQL database on your required schedule.
Extracting from Danawa requires handling complex DOM structures, regional blocks, and dynamic vendor loading. We manage the infrastructure so you receive clean data.
Danawa loads vendor pricing and shipping details asynchronously after the initial page load. We use Playwright to execute the JavaScript, wait for the XHR requests to settle, and extract the complete vendor list.
A motherboard's specification table looks entirely different from a monitor's. We maintain a library of category-specific parsers that map Danawa's inconsistent UI into a unified, predictable JSON schema.
Danawa aggressively limits traffic from non-Korean data centres. We route all requests through high-quality South Korean residential proxies to prevent 403 Forbidden errors and CAPTCHA walls.
Legacy pages on Danawa sometimes mix character encodings. Our pipeline automatically detects and converts all text to strict UTF-8, preventing garbled Korean characters in your final dataset.
Instead of re-scraping static hardware specs every hour, we separate the static component data from the dynamic pricing data. We only poll the pricing endpoints on high frequency, reducing overhead and costs.
Hardware retailers track open market and mall pricing to adjust their own margins and stay competitive in the Korean market.
Component manufacturers monitor review volumes and vendor presence to estimate market share against competitors.
Analysts track stock availability and price spikes across vendors to predict supply chain shortages for GPUs and CPUs.
eCommerce platforms use Danawa's exhaustive specification data to populate their own hardware catalogues automatically.
Brands aggregate user reviews and DPG forum mentions to understand product reception and identify common hardware failures.
Sellers ingest Danawa pricing via webhook to automatically adjust their listings on 11st, Gmarket, and Coupang.
"Danawa holds the definitive pricing baseline for hardware in South Korea. Tracking the delta between open markets and official malls requires constant, accurate extraction."
Parsing Danawa's specification tables is notoriously difficult due to nested HTML structures and inconsistent key-value pairings across thousands of categories. We maintain category-specific parsers, handle Korean text encoding issues natively, and execute full browser sessions to capture dynamic vendor lists accurately.
Everything supported by our danawa.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy manages the crawl frontier and deduplication, while Playwright handles the heavy lifting of rendering Danawa's dynamic vendor tables and executing XHR requests.
We utilise dedicated South Korean residential proxy pools to bypass Danawa's geographic restrictions and IP rate limits, ensuring consistent access.
Raw HTML tables are processed through Python-based normalisation pipelines, converting inconsistent specs (e.g., mm vs cm, W vs kW) into standard units.
Data delivered to where your team already works — no new tooling required.
About danawa.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We capture the entire vendor list, distinguishing between open market sellers, official malls, and cash-only vendors. We also extract conditional pricing such as credit card discounts and specific shipping fees.
Our pipelines are configured to handle Korean character encodings natively. We ensure all output is strictly UTF-8 encoded, preventing any data corruption when you import the files into your database.
Yes. We can extract the historical price data points used to generate Danawa's trend charts, giving you access to past low, average, and high prices for a specific component.
No. We only extract publicly available product specifications, pricing, and reviews. We do not scrape gated content that requires user authentication.
For high-priority components like CPUs and GPUs, we can configure pipelines to run hourly. For broader catalogue extraction, daily or weekly runs are typical.
Yes. Danawa's spec tables vary wildly by category. We build custom parsers to map these unstructured tables into a clean, predictable JSON schema, normalising units where required.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually checking PC component prices. We build and maintain the pipeline to deliver clean Danawa data directly to your warehouse. Contact us to define your schema.
