naver-scraper

Naver Scraper

This folder includes scrapers for various Naver services using Python requests and Scrape.do for bypassing Naver's WAF.

Find the full guide and documentation here. 📗

What's Included

Ecommerce Scrapers

• ecommerceProductPage.py: Scrapes product name and price from a Naver product page using regex.
• ecommerceAPI.py: Fetches full product details from Naver's API and exports them to CSV.

Search Scrapers

• naverSearchAds.py: Scrapes paid search advertisements from Naver search results.
• naverSearchOrganic.py: Scrapes organic search results from Naver with pagination support using JavaScript data extraction.
• naverSearchImages.py: Scrapes image search results using Naver's image search API.

Requirements

• Python 3.7+
• requests library
  Install with:
  pip install requests
• A Scrape.do API token for accessing Naver bypassing its WAF (free 1000 credits/month)

How to Use: ecommerceProductPage.py

1. Copy the full product URL from Naver, example:
   https://brand.naver.com/steelseries/products/11800715035

2. In the script, replace:

   token = "<your_token>"
   target_url = "<target_product_url>"

3. Run the script:

   python ecommerceProductPage.py

The script will return:

Product Name: ...
Price: ...₩

How to Use: ecommerceAPI.py

1. Get the channel_uid and product_id

   • product_id is the numeric ID in the product URL, example: 11800715035
   • channel_uid can be found in the page source (search "channelUid" in DevTools)

2. In the script, replace:

   token = "<your_token>"
   channel_uid = "<product_channel_uid>"
   product_id = "<product_id>"

3. Run the script:

   python ecommerceAPI.py

A file called naver_product_data.csv will be created with:

• Product Name
• Price
• Discount
• Image URL
• Stock Quantity

How to Use: naverSearchAds.py

1. In the script, replace:

   token = "<your_token>"
   query = "<search_query>"

2. Run the script:

   python naverSearchAds.py

A file called naver_ads_results.csv will be created with:

• Ad Title
• Ad URL
• Ad Description

How to Use: naverSearchOrganic.py

1. In the script, replace:

   token = "<your_token>"
   query = "<search_query>"

2. Run the script:

   python naverSearchOrganic.py

A file called naver_organic_results.csv will be created with:

• Title
• URL
• Description

The script automatically scrapes multiple pages and includes retry logic for better results. Uses JavaScript data extraction to handle Naver's modern search result structure.

How to Use: naverSearchImages.py

1. In the script, replace:

   token = "<your_token>"
   query = "<search_query>"

2. Run the script:

   python naverSearchImages.py

A file called naver_images_results.csv will be created with:

• Title
• Link
• Original URL

The script uses Naver's image search API for reliable results and handles JSONP responses automatically.

Common Errors

403 or 429: Add &geoCode=kr to the end of the Scrape.do URL to use a Korean IP
Empty or missing fields: Double-check your channel_uid and product_id; make sure the product is public and available
Regex failure in ecommerceProductPage.py: Confirm the page is returning complete HTML and you're not being blocked
404 from ecommerceAPI.py: API endpoint might've been changed, view the full tutorial to confirm the correct API structure.
JSON parsing errors in naverSearchImages.py: The API response format may have changed; check the response structure.