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Hi Piyali Karmakar,
Please go through the below steps once i hope it will helps to resolve your issue.
Check API Documentation: Ensure that you have reviewed the complete API documentation provided by the platform (e.g., Amazon, eBay, etc.). Often, there are additional endpoints or parameters that allow for more detailed queries.
Enhanced Queries: Modify your search queries to request additional details. Some APIs allow you to specify the level of detail in the response.
Use Product Detail API: Many platforms offer a separate API for fetching detailed product information. After obtaining the product IDs from the search API, use the Product Detail API to fetch comprehensive details for each product.
Check Response Fields: Ensure that you are accessing all available fields in the API response. Sometimes, the required information is nested within different parts of the JSON response.
Data Enrichment: If the API does not provide all the required details, consider using a data enrichment service or another API that can supplement missing information.
Here is a general approach using pseudo-code for better understanding:
Step-by-Step Approach
Perform Search Query:
search_results = search_api.query(search_parameters)
Extract Product IDs:
product_ids = [product['id'] for product in search_results['products']]
Fetch Detailed Information for Each Product:
detailed_products = []
for product_id in product_ids:
detailed_info = product_detail_api.get_details(product_id)
detailed_products.append(detailed_info)
Extract Required Information:
for product in detailed_products:
material = product.get('material')
season = product.get('season')
occasion = product.get('occasion')
sizes = product.get('sizes')
colors = product.get('colors')
style = product.get('style')
pattern = product.get('pattern')
body_fit = product.get('body_fit')
neckline = product.get('neckline')
# Process or store the information as needed
Example with Hypothetical API
import requests
# Perform search query
search_url = "https://api.example.com/search"
search_params = {"query": "dress", "category": "clothing"}
search_response = requests.get(search_url, params=search_params)
search_results = search_response.json()
# Extract product IDs
product_ids = [product['id'] for product in search_results['products']]
# Fetch detailed information for each product
detailed_products = []
detail_url = "https://api.example.com/product/details"
for product_id in product_ids:
detail_response = requests.get(detail_url, params={"product_id": product_id})
detailed_info = detail_response.json()
detailed_products.append(detailed_info)
# Extract required information
for product in detailed_products:
material = product.get('material')
season = product.get('season')
occasion = product.get('occasion')
sizes = product.get('sizes')
colors = product.get('colors')
style = product.get('style')
pattern = product.get('pattern')
body_fit = product.get('body_fit')
neckline = product.get('neckline')
# Process or store the information as needed
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