Lidl Reviews Scraper 🛍️

Lidl Reviews Scraper 🛍️

Scrape product reviews from Lidl's online store. Extract detailed review data including ratings, review text, author info, and additional metrics. Perfect for market research and customer sentiment analysis.

ECOMMERCELEAD_GENERATIONINTEGRATIONSApify

Automatically extract product reviews from Lidl's online store. This powerful scraper collects comprehensive review data for any Lidl product URL.

🔥 Features

  • Scrape reviews from any Lidl product page
  • Extract detailed review information including:
    • Star ratings (overall + specific aspects)
    • Review text and titles
    • Author information
    • Review timestamps
    • Helpful votes (up/down)
    • Product recommendations
  • Support for multiple product URLs
  • Configurable maximum items limit
  • Built-in proxy rotation support
  • Automatic pagination handling
  • Anti-blocking measures implemented

📊 Output Data

The scraper provides detailed review data in JSON format, including:

  • Product identifier (ERP number)
  • Review content and metadata
  • Rating breakdowns (Quality, Price)
  • Timestamp information
  • Vote counts
  • Author details

💡 Use Cases

  • Market research and competitor analysis
  • Customer sentiment analysis
  • Product quality monitoring
  • Review aggregation
  • Customer feedback analysis
  • Price-value perception studies

🔧 Input Parameters

The actor accepts the following inputs:

  • searchUrls: Array of Lidl product URLs to scrape
  • maxItems: Maximum number of reviews to collect (optional)
  • proxyConfiguration: Proxy settings (optional)

📝 Notes

  • Respects Lidl's robots.txt and rate limits
  • Recommended to use proxies for large-scale scraping
  • Review data is collected only from publicly available pages

Input Example

A full explanation of an input example in JSON.

1{
2    "searchUrls": [
3        "https://www.lidl.de/p/livarno-home-wc-buerstengarnitur-kosmetiktuecher-box-aufbewahrungsbox/p100385434"
4    ],
5    "maxItems": 15
6}

Output sample

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.

1[
2    {
3        "searchUrl": "https://www.lidl.de/p/livarno-home-wc-buerstengarnitur-kosmetiktuecher-box-aufbewahrungsbox/p100385434",
4        "reviewData": {
5            "id": "dc905c0b-2b22-430e-8faa-7a6eaffa3b9e",
6            "erpNumber": 100385434999,
7            "stars": 5,
8            "reviewText": "Kosmetiktücher passen sehr gut rein   wenn man diese ohne Karton einlegt.

Sieht besser aus als die Pappschachteln.

Stabile Ausführung

Ich bin sehr zufrieden und freue mich, daß ich das gekauft habe"
,
9 "reviewTitle": "Schöne deko im Badezimmer", 10 "reviewAuthor": "Lidl-Shop Kunde", 11 "reviewTime": 1708612996, 12 "translated": false, 13 "votesUp": 0, 14 "votesDown": 0, 15 "originalErpNumber": 100370881002, 16 "additionalRatings": { 17 "QUALITY": 5, 18 "PRICE": 5 19 }, 20 "recommended": true 21 }, 22 "scrapedAt": "2025-02-12T02:21:15.998Z" 23 }, 24 ... 25]

Frequently Asked Questions

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!