Target.com Product Search Scraper
3 days trial then $20.00/month - No credit card required now
Target.com Product Search Scraper
3 days trial then $20.00/month - No credit card required now
The Target.com Product Search Scraper extracts detailed product data from Target.com, including name, title, brand, description, price, rating score, etc., using search query URLs. This tool is perfect for market research, trend analysis, lead generation, and campaign planning.
You can access the Target.com Product Search Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "urls": ["https://www.target.com/c/kitchen-dining-bestsellers/-/N-p74c6?sortBy=PriceHigh&moveTo=product-list-grid&Nao=696"],
10 "max_retries_per_url": 2,
11 "proxy": { "useApifyProxy": False },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("ecomscrape/target-product-search-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTarget.com Product Search Scraper API in Python
The Apify API client for Python is the official library that allows you to use Target.com Product Search Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
ecomscrapeActor Metrics
2 monthly users
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Created in Jan 2025
Modified 10 hours ago
