Scrape product data from Lidl's online store including prices, images, descriptions, ratings and stock information. Perfect for price monitoring, market research and competitive analysis.
Powerful scraper for extracting detailed product information from Lidl's online store. Get comprehensive data about products, prices, availability, and more.
🎯 Use Cases
Price monitoring and tracking
Market research and analysis
Product catalog building
Competitive analysis
Stock availability monitoring
Brand and category insights
✨ Features
Extract detailed product information including:
Product titles and IDs
Current and original prices
Discount information
Brand details and logos
Product images (main + gallery)
Category information
Product descriptions
Customer ratings and reviews
Stock availability
Canonical URLs
Support for:
Multiple search URLs
Customizable maximum items limit
Automatic pagination handling
Built-in proxy rotation
Anti-blocking measures
💎 Output
The actor provides structured JSON output containing all scraped product details. Each product entry includes:
Basic product information (ID, title, brand)
Pricing details (current price, original price, discounts)
Multiple product images
Category hierarchy
Customer ratings and recommendations
Stock availability status
Timestamps for data freshness
🔍 Input Parameters
The actor accepts the following input parameters:
searchUrls: Array of Lidl search URLs to scrape
maxItems: Maximum number of items to scrape (optional)
proxyConfiguration: Proxy settings (optional)
📝 Notes
Respects Lidl's robots.txt and implements reasonable delays
Uses smart retry mechanisms for reliable data collection
The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:
And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.
Is it legal to scrape job listings or public data?
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
Do I need to code to use this scraper?
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
What data does it extract?
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Can I scrape multiple pages or filter by location?
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
How do I get started?
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!