Pricing

from $2.99 / 1,000 results

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.

Pricing

from $2.99 / 1,000 results

Rating

0.0

(0)

Developer

EasyApi

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

E-commerce

Lead generation

Integrations

You can access the Lidl Reviews Scraper 🛍️ programmatically from your own 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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              "https://www.lidl.de/p/livarno-home-wc-buerstengarnitur-kosmetiktuecher-box-aufbewahrungsbox/p100385434"
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            "title": "Maximum Reviews",
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                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
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                    "type": "string",
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Lidl Reviews Scraper 🛍️ OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Lidl Reviews Scraper 🛍️ from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Lidl Reviews Scraper 🛍️ API in Python

Lidl Reviews Scraper 🛍️ API in JavaScript

Lidl Reviews Scraper 🛍️ API through CLI

Lidl Reviews Scraper 🛍️ API

Lidl Product Scraper 🛍️

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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.

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Lidl Reviews Scraper

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The Lidl Reviews Scraper efficiently extracts customer reviews from Lidl product pages using Playwright, capturing ratings, text, timestamps, and more....

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The Lidl Category Scraper is an Apify Actor that extracts detailed product data from Lidl's catalog via keyword searches. It delivers prices, images, availability, and metrics in structured JSON, with proxy support for reliable, high-performance scraping....

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Extract product data from Lidl.de - prices, delivery dates, categories & detailed product info. Search by keywords or scrape specific categories. Fast, efficient scraping with advanced filtering. Perfect for price monitoring, market research & competitive analysis of German retail products.

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Lidl Urls Parser

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Extract comprehensive product data from Lidl URLs, including names, prices, ratings, images, and availability. Ideal for e-commerce analysis, price monitoring, and market research. Reliable CheerioCrawler-based scraping, scalable for batch processing, with clean JSON output....

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Scrapes products and categories from Lidl Netherlands (lidl.nl). Returns the full assortment plus the current weekly deals which include live pricing and discount percentages.

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Etsy Reviews Scraper

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Scrape Etsy product reviews effortlessly. Extract detailed review data including ratings, text, reviewer info, dates and more. Perfect for market research and customer feedback analysis.

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Houzz Product Reviews Scraper 🏠

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Scrape product reviews from Houzz.com. Extract detailed review data including ratings, comments, user information, and review aspects. Perfect for market research and customer sentiment analysis.

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Myntra Reviews Scraper 🛍️

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Scrape product reviews from Myntra.com - Extract detailed review data including ratings, comments, user info, and style attributes. Perfect for market research and customer sentiment analysis.

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