The Target Scraper is a cutting-edge tool designed to extract valuable product information from Target's extensive online catalog. This powerful scraper empowers businesses to gather comprehensive data on products, prices, and consumer trends, providing a strategic advantage in the competitive retail landscape.
Data Category | Examples |
---|---|
Product Information | Title, description, product ID, brand |
Pricing Details | Initial price, final price, discounts, currency |
Customer Feedback | Ratings, review count, top reviews, review images |
Visual Content | Product images |
Product Specifications | Dimensions, weight, materials, features |
Categorization | Breadcrumbs, related categories |
Alternatives | Similar products, "customers also viewed" items |
Our Target Scraper is an invaluable tool for various industries, including:
The Target Scraper API allows you to extract detailed product information from Target.com. This powerful tool enables developers to integrate Target product data into their applications, conduct market research, or monitor pricing and trends across various categories.
To use the Target Scraper API, you'll need to authenticate your requests using your API key. The API provides two endpoints for retrieving product information:
Include your API key in the request headers:
Authorization: Bearer YOUR_API_KEY
The request body should be a JSON object with the following structure:
// For products endpoint
{
"url": "https://www.target.com/p/product-name/-/A-product-id"
}
// For products-by-keyword endpoint
{
"keyword": "search term"
}
Please note that usage is subject to rate limiting. Refer to your plan details for specific limits.
import requests
import json
# Your API Key
api_key = 'YOUR_API_KEY'
# API Endpoint
url = 'https://taskagi.net/api/ecommerce/target-scraper/products'
# Headers
headers = {
'Authorization': f'Bearer {api_key}',
'Content-Type': 'application/json'
}
# Request Body
data = {
'url': 'https://www.target.com/p/product-name/-/A-12345678'
}
# Send POST request
response = requests.post(url, headers=headers, json=data)
# Check if the request was successful
if response.status_code == 200:
# Parse the JSON response
product_data = response.json()
# Print the product information
print(json.dumps(product_data, indent=2))
else:
print(f"Error: {response.status_code}")
print(response.text)