It should be emphasized that crawling data from e-commerce platforms such as Lazada must comply with the platform's terms of service, robots.txt protocol, and relevant laws and regulations. Unauthorized data crawling may violate the platform's rules and even bear legal responsibilities. The following is only a technical demonstration of interface calling logic for learning purposes, and it is not recommended to use it for actual crawling without permission.
python
import requests
import json
from urllib.parse import urlencode
class LazadaDataFetcher:
def __init__(self):
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
"Accept-Language": "en-US,en;q=0.9",
# Add other necessary headers according to actual situation
}
self.base_url = "https://www.lazada.com.my" # Adjust the domain according to the site (sg, ph, etc.)
def fetch_product_list(self, keyword, page=1, limit=40):
"""
Fetch product list data by keyword
:param keyword: Search keyword
:param page: Page number
:param limit: Number of products per page
:return: Product list data (dict)
"""
try:
params = {
"q": keyword,
"page": page,
"limit": limit,
# Add other parameters as needed
}
url = f"{self.base_url}/catalog/?{urlencode(params)}"
response = requests.get(url, headers=self.headers, timeout=10)
# The actual data extraction method depends on the platform's response format (HTML/JSON)
# For demonstration, assume it's JSON data; in reality, it may be necessary to parse HTML or call internal APIs
if response.status_code == 200:
# Note: Lazada's front-end may render data through JavaScript, so direct crawling may not get JSON
return {"status": "success", "data": response.text}
else:
return {"status": "error", "message": f"Request failed with status code: {response.status_code}"}
except Exception as e:
return {"status": "error", "message": str(e)}
def fetch_product_details(self, product_id):
"""
Fetch product detail data by product ID
:param product_id: Product ID
:return: Product detail data (dict)
"""
try:
url = f"{self.base_url}/products/{product_id}.html" # Hypothetical URL format
response = requests.get(url, headers=self.headers, timeout=10)
if response.status_code == 200:
# Similarly, need to parse HTML or call product detail API
return {"status": "success", "data": response.text}
else:
return {"status": "error", "message": f"Request failed with status code: {response.status_code}"}
except Exception as e:
return {"status": "error", "message": str(e)}
def fetch_product_reviews(self, product_id, page=1, limit=20):
"""
Fetch product review data by product ID
:param product_id: Product ID
:param page: Page number
:param limit: Number of reviews per page
:return: Product review data (dict)
"""
try:
# Hypothetical review API endpoint (actual endpoint needs to be confirmed)
review_api = f"https://my.lazada.com/pdp/review/getReviewList"
params = {
"itemId": product_id,
"page": page,
"pageSize": limit,
# Add other required parameters
}
response = requests.get(review_api, params=params, headers=self.headers, timeout=10)
if response.status_code == 200:
return {"status": "success", "data": response.json()}
else:
return {"status": "error", "message": f"Request failed with status code: {response.status_code}"}
except Exception as e:
return {"status": "error", "message": str(e)}
# Example usage (for learning only, do not use without permission)
if __name__ == "__main__":
fetcher = LazadaDataFetcher()
# Fetch product list
list_data = fetcher.fetch_product_list("smartphone", page=1)
print("Product List Data:", list_data.get("status"))
# Assume we get a product ID from the list (example ID)
sample_product_id = "123456789"
# Fetch product details
detail_data = fetcher.fetch_product_details(sample_product_id)
print("Product Detail Data:", detail_data.get("status"))
# Fetch product reviews
review_data = fetcher.fetch_product_reviews(sample_product_id)
print("Product Review Data:", review_data.get("status"))
Important Notes:
- The above code is only a conceptual framework. The actual data interfaces, parameter formats, and authentication methods of Lazada are subject to the platform's official specifications. Unauthorized access to internal APIs may be blocked.
- To obtain platform data legally, it is recommended to use Lazada's official open API (if available) and comply with the usage specifications.
- Excessive or frequent requests may cause the IP to be blocked. Please respect the platform's access restrictions and data usage policies.
