Lidl.es Scraper: Prices, Weekly Offers & Shopper Reviews

Lidl.es Scraper turns Lidl Spain's storefront into structured product data, spanning both the grocery/supermarket weekly-offer range and the "bazaar" (non-food) catalogue: tools, home & garden, kitchen, fashion, baby & kids, and sport & leisure. Search by keyword and department with brand, price, rating and weekly-offer filters, or paste product, search, or department links directly. Every record carries the current price, a genuine strike-through was-price and discount % only when a product is genuinely on offer, the package format, images, and the site's own shopper rating; turn on review fetching for up to 20 shopper reviews (highest-rated first) plus the full rating summary and histogram. Export to JSON, CSV or Excel, or pull results through the API.

Why This Scraper?

• Covers both catalogues. Lidl.es sells grocery weekly offers (fresh produce, pantry, drinks) and a much larger bazaar/non-food range (tools, home, garden, fashion, toys, sport) through the same storefront; this scraper reaches both from one input.
• Was-price captured only when it's real. This scraper reads the site's own strike-through price object per item and only ever sets a was-price, discount amount and discount % when the site's own prior price is genuinely populated and higher than the current price. Full-price items get null, never a fabricated markdown.
• Real shopper reviews from the site itself. Ratings and reviews come from Lidl's own on-site review feed (average, histogram, up to 20 highest-rated reviews with author and votes), included on request or automatically for a pasted product URL.
• Package format plus a derived unit price. The package size/format Lidl itself displays (e.g. "750g", or a loose/bulk format) is included whenever Lidl shows it; a EUR/kg or EUR/L unit price is derived only when the package is an unambiguous single weight or volume, never guessed for a bulk or multi-pack item.
• Two ways in. Keyword and department browsing with brand, price, rating and weekly-offer filters and sort, or paste any product, search/specials, or department link.
• Optional export to your apps. Send results into Notion, Linear, Airtable, or any Apify MCP connector alongside the dataset.

Use Cases

• Price and discount tracking: monitor Lidl's weekly-offer feed for genuine markdowns (was-price, discount %) across any department, on a recurring schedule.
• Bazaar and non-food sourcing: pull the tools, home & garden, kitchen, fashion or baby & kids ranges by department for comparison shopping or catalog building.
• Grocery price monitoring: track the Alimentacion (grocery) department's current prices and weekly specials for a price-comparison tool.
• Brand and assortment research: collect every product under one brand across the whole catalogue to track SKU count, pricing and availability.
• Shopper sentiment analysis: pull the site's rating summary, histogram and top reviews for specific products to track shopper sentiment over time.

Data You Get

Sample shape: values are illustrative placeholders, not from a live product.

Field	Example
productId / title	"900000001", "Taladro percutor inalambrico 20V (ejemplo)"
brand	"SAMPLEBRAND"
categoryPath / category	["Bricolaje y jardin", "Herramientas", "Herramientas electricas"], "Herramientas electricas"
productUrl	"https://www.lidl.es/p/producto-ejemplo/p900000001"
price / currency	39.99, "EUR"
wasPrice / discountAmount / discountPercent	49.99, 10.0, 20.0 (only when genuinely on offer)
isOnSpecial / promoLabel	true, "Megadescuento"
packageFormat	"1 ud." (the site's own package/format text)
unitPrice / unitOfMeasure	null, null (only set for an unambiguous single weight/volume like "750g")
hasVat	true
onlineAvailable / inStoreOnly	true, false
stockAvailability	"En stock"
images	full-resolution image URL list
internalArticleNumbers	["555123"]
description	short plain-text product description, as shown on the site
badges	["Top rated"]
averageRating / reviewCount	4.6, 823
recommendedYes / recommendedNo	780, 15
reviews	empty shape by default; full feed only with fetchDetails, or automatically for a pasted product URL

reviews always carries the same six keys: averageRating, totalReviewCount, recommendedYes, recommendedNo, starHistogram and items (each with stars, title, text, author, recommended, votesUp, votesDown). Without enrichment it is averageRating: null, totalReviewCount: 0, items: []. Package price (price) comes straight from Lidl's own product data; unitPrice/unitOfMeasure are never derived for a loose/bulk item ("A granel") or a multi-pack, where dividing by the printed pack size would misstate the true per-unit price.

How to Use

1. Pick a mode: search (keyword + department browse with filters) or url (paste product, search/specials, or department links).
2. In search mode, set your keyword and/or department, then narrow with brand, price, rating or weekly-offer filters and pick a sort order.
3. Turn on Fetch shopper reviews if you want up to 20 shopper reviews plus the rating summary on every returned product, and set Max products total / Max search pages to control run size and cost.
4. Click Start, then download the dataset as JSON, CSV or Excel, or read it through the API.

Keyword + department search (default mode):

{
  "mode": "search",
  "searchTerm": "taladro",
  "category": "bricolaje-jardin",
  "maxItems": 20
}

Weekly offers only, biggest discount first:

{
  "mode": "search",
  "specialsOnly": true,
  "sortBy": "BIGGEST_DISCOUNT",
  "maxItems": 50
}

One brand within a department, with the full shopper review feed:

{
  "mode": "search",
  "category": "bricolaje-jardin",
  "brand": "PARKSIDE",
  "fetchDetails": true,
  "maxItems": 20
}

Paste product, search/specials, or department links directly:

{
  "mode": "url",
  "urls": [
    "https://www.lidl.es/p/producto-ejemplo/p900000001",
    "https://www.lidl.es/c/bricolaje-y-jardin/s99999999",
    "https://www.lidl.es/q/query/bateria"
  ],
  "maxItems": 50
}

A pasted product URL always gets up to 20 shopper reviews plus the rating summary, and is billed for it, regardless of the Fetch shopper reviews toggle; the user explicitly asked for that one product.

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/lidl-es-scraper").call(run_input={"mode": "search", "searchTerm": "taladro", "maxItems": 20})
for product in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(product["title"], product["price"], product["currency"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/lidl-es-scraper').call({ mode: 'search', searchTerm: 'taladro', maxItems: 20 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Or connect it to Make, Zapier, n8n, Google Sheets or webhooks from the Integrations tab.

How maxItems and maxPages interact

Search mode pages through results in batches, stopping once either Max products total or Max search pages is reached, whichever comes first. Leave Max search pages empty for no page limit (bounded only by Max products total). URL mode splits Max products total evenly across your pasted URLs, so a mix of a product link and a department link each gets its own share of the cap.

Send results into your apps (MCP connectors)

Optionally pipe results into the apps you already use through Model Context Protocol (MCP) connectors. Authorize a connector once under Apify, Settings, Integrations, then select it in the mcpConnectors field. Each connector receives a condensed, human-readable summary per product (title plus key fields), while the complete record always stays in the Apify dataset. For Notion, set notionParentPageUrl to the page the item pages should be created under, and use maxNotifyListings to cap how many items are exported per connector per run. Supported connectors: Notion, Linear, Airtable, and Apify. Leave the field empty to skip; it never changes the dataset output.

Input Parameters

Parameter	Type	Default	Description
mode	string	search	search browses by keyword/department filters; url scrapes pasted product, search/specials, or department links.
searchTerm	string	no default (prefill: bateria)	Free-text keyword against Lidl's own search index (search mode only). Leave empty with a department set to browse the whole department.
category	string	"" (Any department)	One of Lidl's real top-level departments, spanning both the bazaar/non-food and grocery ranges (search mode only).
brand	string	no default	Exact brand name to keep, as Lidl shows it, e.g. PARKSIDE (search mode only).
specialsOnly	boolean	false	Keep only products on a genuine current weekly offer (search mode only).
minPrice	number	no default	Minimum price in EUR to keep (search mode only).
maxPrice	number	no default	Maximum price in EUR to keep (search mode only).
minRating	number	no default	Minimum shopper rating (1-5) to keep (search mode only).
sortBy	string	RELEVANCE	RELEVANCE, PRICE_ASC, PRICE_DESC, NEWEST, TOP_RATED, BESTSELLERS, or BIGGEST_DISCOUNT (search mode only).
urls	array	no default (prefill: a sample Lidl product URL)	Product, search/specials, or department listing URLs to scrape (url mode only); filter fields above are ignored in this mode.
fetchDetails	boolean	false	Fetch up to 20 shopper reviews plus the rating summary and star histogram for each product. Always on, regardless of this toggle, for a pasted product URL.
maxPages	integer	no default (empty = unlimited)	Stop after fetching this many search result pages.
maxItems	integer	20	Hard cap on total products returned across the run; 0 = unlimited.
proxy	object	{"useApifyProxy": true}	Apify Proxy configuration used to route requests. The default works out of the box.
mcpConnectors	array	no default	Optional MCP connectors to export results into (Notion, Linear, Airtable, Apify).
notionParentPageUrl	string	no default	Notion connector only: page under which item pages are created.
maxNotifyListings	integer	50	Cap on items exported to each connector per run. Does not affect the dataset.

Output Example

Sample shape: values are illustrative placeholders, not from a live product.

{
  "productId": "900000001",
  "title": "Taladro percutor inalambrico 20V (ejemplo)",
  "brand": "SAMPLEBRAND",
  "categoryPath": ["Bricolaje y jardin", "Herramientas", "Herramientas electricas"],
  "category": "Herramientas electricas",
  "productUrl": "https://www.lidl.es/p/producto-ejemplo/p900000001",
  "price": 39.99,
  "currency": "EUR",
  "wasPrice": 49.99,
  "discountAmount": 10.0,
  "discountPercent": 20.0,
  "isOnSpecial": true,
  "promoLabel": "Megadescuento",
  "packageFormat": "1 ud.",
  "hasVat": true,
  "unitPrice": null,
  "unitOfMeasure": null,
  "onlineAvailable": true,
  "inStoreOnly": false,
  "stockAvailability": "En stock",
  "images": ["https://www.lidl.es/assets/sample-image.jpg"],
  "internalArticleNumbers": ["555123"],
  "description": "Descripcion corta de ejemplo del producto, tal como aparece en el sitio.",
  "badges": ["Top rated"],
  "averageRating": 4.6,
  "reviewCount": 823,
  "recommendedYes": 780,
  "recommendedNo": 15,
  "reviews": {
    "averageRating": 4.6,
    "totalReviewCount": 823,
    "recommendedYes": 780,
    "recommendedNo": 15,
    "starHistogram": { "1": 8, "2": 10, "3": 30, "4": 150, "5": 625 },
    "items": [
      { "stars": 5, "title": "Buena relacion calidad-precio", "text": "Texto de resena de ejemplo.", "author": "Comprador de ejemplo", "recommended": true, "votesUp": 4, "votesDown": 0 }
    ]
  }
}

Plan Requirement

The default Apify Proxy setting works out of the box: this actor reaches Lidl's own public catalogue endpoints directly. For large or very frequent runs, selecting the residential proxy group under Connection gives more headroom. The Pricing tab shows the current per-product and enrichment rates for your plan.

FAQ

How much does it cost?

You pay per product returned, plus a smaller per-product charge only when the full shopper review feed is actually fetched (via Fetch shopper reviews, or automatically for a pasted product URL) and successfully retrieved; a failed review fetch is not billed. There is also a one-time charge when the run starts. The Pricing tab shows the current rates. Use Max products total to cap the cost of any run.

Is it legal to scrape Lidl.es?

This actor collects only publicly available product data (prices, offers, descriptions, ratings and reviews) as shown on Lidl.es. You are responsible for how you use it: follow Lidl's terms and the laws that apply to you, and get legal advice if you plan commercial redistribution. Product images and review text may be subject to third-party rights.

Can I schedule it to catch new weekly offers?

Yes, schedule the actor from the Schedules tab, e.g. with specialsOnly: true and a department set. Each run reads the site's current weekly-offer feed fresh; this actor has no persisted incremental state, so every scheduled run returns the current matching products in full rather than only what changed since the last run.

Why are wasPrice and unitPrice sometimes null?

Both are reported only when genuinely applicable. wasPrice/discountAmount/discountPercent/isOnSpecial are set only when Lidl's own strike-through price field is genuinely populated and higher than the current price; most full-price items simply carry no was-price. unitPrice/unitOfMeasure are derived only when the package format is an unambiguous single weight or volume (e.g. "750g"); a loose/bulk item or a multi-pack always gets null rather than a guessed figure.

Why did my run return an empty dataset instead of failing?

If Lidl's site refuses requests for part or all of a run, this actor does not hard-fail: it logs warnings, stops early if failures persist, and keeps whatever products it already collected. A run that could read nothing therefore still completes normally, with an empty or partial dataset and a generic "No products matched" status message, rather than an error. Check the run log for the actual cause, and re-run it, ideally with the residential proxy group, if this happens.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

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