Lidl Dataset
Live and Historical Data Across One of Europe’s Largest Discount Grocery Chains
Lidl runs the same lean, limited-assortment discount model that defines the category, but it has layered something the traditional discounters didn’t: Lidl Plus, an app-based loyalty program that pushes personalized digital coupons and scan-triggered discounts straight to a shopper’s phone. That means the price printed on the shelf and the price a Lidl Plus user actually pays at checkout can differ meaningfully — closer to what Kroger or Tesco shoppers experience with loyalty pricing than to Aldi’s flat, everyday-low-price approach, even though Lidl’s core assortment strategy looks a lot more like Aldi’s than either of those.
Tracking that properly means capturing shelf price and Lidl Plus-linked pricing as genuinely separate figures, alongside the rotating non-food special-buy range that shows up in the middle aisle for a week or two at a time. That’s exactly what our dedicated Lidl Data Scraping pipeline is built for — a Lidl Grocery Dataset that ties core-range pricing, app-linked discounts, weekly special-buy listings, and inventory status together, refreshed on a schedule you control. It runs on the same infrastructure behind our Grocery Data Scraping Services and sits inside our broader Grocery Dataset catalog, with custom builds available through our Web Scraping Services team.
Request Free Sample DatasetQuick Stats
Price From
$179Starting Price
Records
2.0M+Total Records
Format
CSV / JSONDelivery Format
Delivery
ImmediateAvailability
15+
Categories Covered
2+ Yrs
Historical Depth
Multi-Country
Market Coverage
Daily
Refresh Cycle
Why Teams Choose Our Lidl Dataset Over a DIY Crawl
Lidl Plus pricing doesn’t show up on a plain shelf-price scrape, and weekly special-buy listings often exist online for only a matter of days. A scraper built for a standard grocery chain tends to miss both.
Shelf Price and App Price, Together
Product name, SKU, brand, shelf price, Lidl Plus price, rating, and stock status all arrive in a single Lidl product dataset — no reconciling separate exports.
Fast Enough to Catch Rotating Listings
Our Lidl product listings dataset refreshes frequently enough to capture a weekly special-buy item’s full lifecycle before it sells through and disappears.
Scoped to What You Actually Need
Pull specific categories, countries, or the full catalog. Refresh daily, weekly, or near-live. Delivered as CSV, JSON, Excel, or a direct API feed.
Formats Your Tools Already Read
CSV and Excel exports work straight in Power BI or Tableau. JSON and API feeds ship with a documented schema for Snowflake, BigQuery, or Redshift.
Live Pricing, Plus Real History
See today’s price alongside 2+ years of historical price and promotion data, tracked separately by market and currency.
Private-Label-Aware Coverage
Because most of Lidl’s core range is its own label, our Lidl Inventory Dataset flags private-label products distinctly for accurate national-brand benchmarking.
What’s Actually Inside the Lidl Dataset
The Lidl dataset answers four practical questions: what’s listed, what it actually costs once Lidl Plus pricing is factored in, what customers think of it, and whether it’s still in stock — the last question carrying particular weight for special-buy items, which genuinely sell out and don’t restock. Those four questions map to the four sub-datasets below, all keyed together so nothing needs manual reconciling.
Most clients start with pricing, usually chasing something specific — how large is the gap between shelf price and the Lidl Plus scan-price on a given category, or how does a competing discounter’s core-range pricing compare once app-based discounts are stripped out of the comparison? Brand teams lean on the review layer to catch quality complaints on private-label items, since Lidl’s own brands make up such a large share of the catalog. Data teams mostly just want clean, timestamped records instead of raw page data, which is really the core value of buying a dataset instead of building a scraper from scratch. This dataset follows the same collection standards as our broader Grocery Dataset catalog.
What people actually build with Lidl Product Dataset:
- Pricing-policy checks: Compare live Lidl pricing against RRP or your policy floor across categories.
- Lidl Plus price-gap analysis: Build a historical record of how far app-linked pricing diverges from shelf price, by category.
- Special-buy calendar tracking: Track when specific non-food categories rotate through the weekly special-buy range.
- Repricing automation: Feed same-day price signals from the Lidl Price Dataset into your own repricing engine.
- Quality research: Mine the Lidl Customer Reviews Dataset for recurring complaints about private-label product quality.
Key Metrics
Price
$179.00Format
CSV / JSON / APIRecords
2.0M+ Verified RecordsCoverage
UK, Germany, and EuropeUpdate Frequency
DailyAvailability
Instant AccessDelivery Time
ImmediatelyPreview actual dataset structure before purchase.
A Sample of the Lidl Dataset
Below is a small, illustrative slice of a single extract. Each row is one SKU captured at a point in time — the full dataset carries 45+ additional fields, including special-buy launch dates, Lidl Plus pricing flags, and full price-history timestamps.
| Product ID | Product Name | Product Image | Brand Name | Price | Unit Price | Pack Size | Product URL |
|---|---|---|---|---|---|---|---|
| 11237160 | Gelatelli butter pecan ice cream | Gelatelli | $2.49 | $ 0.05 per fl.oz | 48 fl.oz | https://www.lidl.com/p/gelatelli-butter-pecan-ice-cream/p11237160#searchTrackingMasterId=Product.11237160&searchTrackingTitle=Gelatelli%2Bbutter%2Bpecan%2Bice%2Bcream&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237160&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=6&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search | |
| 11237162 | Ocean Sea frozen wild caught pink salmon | https://www.lidl.com/assets/gcpf3168c6d24634f6cb91f4658b1bbdd8e.png | Ocean Sea | $12.99 | $ 0.41 per oz | 32 oz | https://www.lidl.com/p/ocean-sea-frozen-wild-caught-pink-salmon/p11237162#searchTrackingMasterId=Product.11237162&searchTrackingTitle=Ocean%2BSea%2Bfrozen%2Bwild%2Bcaught%2Bpink%2Bsalmon&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237162&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=7&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search |
| 11237164 | Coshida premium wet cat food, chicken and turkey | https://www.lidl.com/assets/gcpe00a4f9cdaed4dc5bfd8032b7826f7a5.png | Coshida | $0.69 | $ 0.23 per oz | 3 oz | https://www.lidl.com/p/coshida-premium-wet-cat-food-chicken-and-turkey/p11237164#searchTrackingMasterId=Product.11237164&searchTrackingTitle=Coshida%2Bpremium%2Bwet%2Bcat%2Bfood%252C%2Bchicken%2Band%2Bturkey&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237164&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=8&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search |
| 11237165 | extra strength acetaminophen PM | https://www.lidl.com/assets/gcp93de886cb8fa4b709af2b4a50d6eac3e.png | N/A | $1.89 | $ 0.02 each | 100 Piece | https://www.lidl.com/p/lidl-extra-strength-acetaminophen-pm/p11237165#searchTrackingMasterId=Product.11237165&searchTrackingTitle=extra%2Bstrength%2Bacetaminophen%2BPM&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237165&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=9&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search |
| 11237166 | Dulano maple breakfast sausage links | https://www.lidl.com/assets/gcp6250f44728c84d038142554a63fe9ebf.png | Dulano | $2.49 | $ 0.21 per oz | 12 oz | https://www.lidl.com/p/dulano-maple-breakfast-sausage-links/p11237166#searchTrackingMasterId=Product.11237166&searchTrackingTitle=Dulano%2Bmaple%2Bbreakfast%2Bsausage%2Blinks&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237166&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=10&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search |
| 11237167 | Sondey chunky chocolate chip cookies | https://www.lidl.com/assets/gcpe27bd44021ed40eea082833b4f29d5fc.png | Sondey | $2.99 | $ 0.25 per oz | 11.75 oz | https://www.lidl.com/p/sondey-chunky-chocolate-chip-cookies/p11237167#searchTrackingMasterId=Product.11237167&searchTrackingTitle=Sondey%2Bchunky%2Bchocolate%2Bchip%2Bcookies&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237167&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=11&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search |
| 11237169 | Dulano pepper coated salami | https://www.lidl.com/assets/gcp4985e0368d284b9b9d8eedda3dec1053.png | Dulano | $3.49 | $ 0.87 per oz | 4 oz | https://www.lidl.com/p/dulano-pepper-coated-salami/p11237169#searchTrackingMasterId=Product.11237169&searchTrackingTitle=Dulano%2Bpepper%2Bcoated%2Bsalami&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237169&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=12&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search |
| 11237172 | complete clean liquid laundry detergent, original | https://www.lidl.com/assets/gcp707e887577494d2c91579a534be4cf70.png | N/A | $8.79 | $ 0.09 per fl.oz | 100 fl.oz | https://www.lidl.com/p/complete-clean-liquid-laundry-detergent-original/p11237172#searchTrackingMasterId=Product.11237172&searchTrackingTitle=complete%2Bclean%2Bliquid%2Blaundry%2Bdetergent%252C%2Boriginal&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237172&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=13&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search |
| 11237173 | Dulano sopressata salami | Dulano | $5.49 | $ 0.78 per oz | 7 oz | https://www.lidl.com/p/dulano-sopressata-salami/p11237173#searchTrackingMasterId=Product.11237173&searchTrackingTitle=Dulano%2Bsopressata%2Bsalami&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237173&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=14&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search | |
| 11237174 | Dulano Italian dry salami | https://www.lidl.com/assets/gcp92afc2629d2b45ffb29b4deae476f9fc.jpg | Dulano | $5.49 | $ 0.78 per oz | 7 oz | https://www.lidl.com/p/dulano-italian-dry-salami/p11237174#searchTrackingMasterId=Product.11237174&searchTrackingTitle=Dulano%2BItalian%2Bdry%2Bsalami&searchTrackingPageSize=48&searchTrackingPage=1&searchTrackingEvent=click&searchTrackingId=Product.11237174&searchTrackingQuery=null&searchTrackingOrigPos=1&searchTrackingPos=15&searchTrackingOrigPageSize=48&searchTrackingChannel=US&list=search |
The Four Layers of the Lidl Dataset
Rather than one flat export, the Lidl dataset splits into four connected layers, licensed individually or together as a complete Lidl Grocery Dataset, joined on a common product key.
Lidl Product Listings Dataset
The descriptive layer behind every item Lidl sells, split clearly between the stable core grocery range and rotating weekly special-buy listings.
- Product name, category and sub-category placement, brand, and SKU identifiers
- Core-range versus special-buy flag, plus special-buy launch and expected sell-through window
- Description text, size/weight variants, and ingredient labels where applicable
- Primary and gallery image URLs
Lidl Price Dataset
Lidl’s pricing carries a layer most discount grocers don’t have — Lidl Plus app-linked discounts that apply on top of the standard shelf price for scanning members.
- Shelf price, Lidl Plus price, discount percentage, and special-buy pricing distinct from core-range pricing
- Full price-change history with timestamps, so a real markdown can be told apart from a routine app-linked offer
- Special-buy category rotation patterns tied to seasonal and recurring promotional windows
- Regional price variation data where Lidl pricing differs by market
Lidl Inventory Dataset
Stock status matters more at Lidl than at most grocery chains, since limited-run special buys genuinely sell out and typically don’t restock once gone.
- Stock status: in stock, limited stock, or sold out, tracked separately for core range and special buys
- Category and sub-category assortment differences between markets
- Private-label flag for competitive benchmarking against national brands
- Historical stock-status trends to identify how quickly specific special-buy categories sell through
Lidl Customer Reviews Dataset
Because such a large share of Lidl’s range is its own private label, review sentiment here carries particular weight for brand-quality perception.
- Individual reviews with star rating, title, review text, and submission date
- Verified-purchase flag and anonymized reviewer identifier
- Aspect-level sentiment — quality versus national-brand comparison, value for money, and packaging
- Rating distribution and week-over-week review velocity trends
Where the Lidl Dataset Runs Deepest
Lidl’s footprint spans multiple European markets plus a growing US presence, with core-range assortment and special-buy rotation that vary meaningfully by country.
United Kingdom
Strong Lidl Plus adoption with heavily tracked app-linked discount activity.
Germany
Lidl’s founding market, with the deepest core-range private-label penetration.
Wider Europe
Established presence across France, Spain, Italy, and other major EU markets.
United States
Smaller but expanding store footprint with a distinct regional assortment.
Add-Ons
Lidl Plus pricing differentials, special-buy category-rotation calendars, and seasonal-event (holiday, back-to-school) archives.
How Different Teams Put This Dataset to Work
The same underlying dataset ends up solving fairly different problems depending on who’s using it.
Competitive Price Monitoring
Track how Lidl’s core-range and Lidl Plus pricing compares to national grocery chains, category by category.
Special-Buy Calendar Planning
Use historical special-buy rotation data to anticipate when a competing retailer’s promotional category will likely appear again.
Private-Label Market Research
Measure private-label penetration by category to understand where Lidl’s own brands are displacing national brands most aggressively.
Demand Forecasting
Build forecasting models on top of 2+ years of price, stock, and review-velocity data to anticipate seasonal special-buy demand.
AI and LLM Training Data
Use the clean, labeled Lidl product listings dataset as training data for product-attribute extraction and recommendation models.
Catalog Benchmarking
Compare listing quality — image count, description depth, category coverage — against how Lidl presents comparable products.
Who Actually Uses the Lidl Dataset
The Lidl Grocery Dataset provides valuable grocery retail insights for market research, competitive analysis, pricing intelligence, and data-driven business decisions.
National & CPG Brands
Benchmark against Lidl’s aggressive private-label penetration in categories where they compete head-to-head.
Competing Discount Grocers
Track Lidl’s core-range pricing, app-linked discounts, and special-buy calendar as a direct competitive signal.
AI & ML Companies
Source clean, structured European discount-grocery data for pricing models and recommendation engines.
Market Research Firms
Build category reports on discount grocery and private-label trends using multi-year historical depth.
Retail Consulting Firms
Validate assortment and pricing-strategy recommendations with verified, current data.
Investment & Analyst Teams
Track store expansion and app-based loyalty adoption as an alternative-data signal on discount-grocery growth.
What This Dataset Actually Saves You
Manually tracking Lidl Plus pricing gaps and a rotating special-buy calendar across multiple countries isn’t realistic without automation — and a slow-refresh scraper will simply miss short-lived listings before they sell out.
Hours Back, Not Days
A structured feed replaces manual price-checking entirely — what used to take a team days to compile is available on a schedule you set.
Forecasts Grounded in Real History
2+ years of price and rank data lets you separate genuine seasonal demand from a one-off special-buy spike
Fast Enough to Catch Rotating Listings
Special-buy items can sell out within days. A fast-refresh feed means you capture the listing, price, and sell-through pattern before it disappears.
Built Around Your Pipeline, Not Ours
Pick the categories, countries, and cadence that matter to you — delivered as CSV, JSON, API, or Parquet.
How the Lidl Data Scraping Pipeline Actually Works
Here’s the straightforward version of how this gets built, not a marketing summary of it.
Collection Approach
Ethical, rate-limited collection from Lidl’s publicly visible pages across covered markets — no credential bypass, no restricted API access.
Validation Before Delivery
Every batch runs through automated schema checks, then a manual spot-check pass before it ships.
Deduplication
Repeat pulls of the same SKU are collapsed into one clean historical record instead of duplicate rows.
Refresh Scheduling
Daily, weekly, or intraday cycles keep pricing and stock fields current — fast enough to catch short-lived special-buy listings before they sell out.
Stable Schema
Field names and structure stay consistent release over release, so your ingestion pipeline doesn’t break on the next refresh.
Compliance
Only publicly available retail data is collected, consistent with standard commercial data practice and platform terms.
This methodology runs on the same Grocery Data Scraping Services infrastructure behind our other grocery-retail datasets — Lidl Data Scraping is a maintained pipeline, not a one-off project.
Delivered However Your Stack Expects It
Access the Lidl Dataset in flexible formats with delivery options designed for smooth integration into your existing systems, analytics tools, and data workflows.
CSV / Excel
Drop straight into Excel pricing models, Tableau dashboards, or Power BI reports.
JSON / API Feed
Documented schema, ready for direct ingestion into your application backend or data pipeline.
Cloud Storage / Database
Automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever cadence you set.
Pick the Plan That Matches Your Scope
Choose flexible Lidl Dataset pricing plans tailored to your data volume, update frequency, and specific business requirements.
One-Time Dataset Purchase
From $179
A one-time Lidl dataset snapshot, delivered right away — no subscription commitment.
What’s included:
- Full point-in-time dataset snapshot
- CSV, JSON, or Parquet delivery
- Filter by category and country before delivery
Enterprise License
Contact Sales
Full-category, multi-country coverage with unlimited access and an SLA behind it.
What’s included:
- Unlimited API calls and delivery volume
- Dedicated account manager, 99.5% SLA
- Custom schema design and white-label delivery
A Team That’s Actually Built This Before
WebDataInsights delivers reliable Lidl Dataset solutions with accurate grocery data and scalable delivery for retail analytics, market research, and competitive intelligence.
Track Record at Scale
Millions of verified records collected and refreshed continuously across major grocery chains worldwide — Lidl is one of several, not a one-off build.
Support That Doesn’t Disappear After Launch
Dedicated account management, SLA-backed delivery, and proactive alerts if a schema ever needs to change.
Compliance-First, By Default
Only publicly accessible retail data is collected — no credential bypass, no restricted-API workarounds.
Custom Builds When You Need Them
Need a field, category, or market we haven’t listed here? We build custom Lidl dataset configurations on request.
Questions People Actually Ask Us About the Lidl Dataset
These come from real conversations with brands, analysts, and engineering teams evaluating this dataset.
It’s a structured export of Lidl’s discount-grocery retail data — product listings, pricing (including Lidl Plus app-linked pricing), weekly special-buy tracking, inventory availability, and customer reviews — cleaned, deduplicated, and delivered as CSV, JSON, or an API feed through our Lidl Data Scraping pipeline.
CSV, Excel (XLS/XLSX), JSON, and API feeds by default. Parquet is available on request for Spark, Databricks, Snowflake, or BigQuery pipelines.
Pricing and stock fields can refresh intraday on enterprise plans, since Lidl Plus offers and special-buy listings can change quickly. Core-range listings update daily, and reviews update on a rolling basis.
Yes — you can scope the extract to special-buy listings only, core-range only, or both, along with specific categories, countries, and refresh cadence.
Yes, more than two years of historical pricing, including shelf price, Lidl Plus price, and special-buy rotation-pattern timestamps.
Yes. Because Lidl Plus pricing can diverge meaningfully from the standard shelf price depending on category and promotional cycle, the Lidl Price Dataset tracks both distinctly rather than blending them into one figure.
Yes. Because such a large share of Lidl’s catalog is its own private label, products are flagged distinctly in the Lidl Inventory Dataset for accurate benchmarking against national brands.
Yes. Only publicly visible pages on Lidl’s website are collected, using rate-limited, ethical methods. We don’t bypass logins or access restricted internal APIs.
A DIY scrape typically returns inconsistent, messy data and is likely to miss short-lived special-buy listings entirely if it doesn’t refresh often enough. This dataset is already normalized, deduplicated, and schema-stable, ready for analysis the same day it arrives.
Lidl’s major markets, including the United Kingdom, Germany, and other European countries, with US coverage and additional markets available on request.
Mostly CPG and national brands, competing discount grocers, market research firms, AI/ML teams, retail consultants, and investment analysts tracking discount-grocery and private-label trends.
Yes — automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever schedule you choose.
Get a Real Look at Lidl’s Discount Grocery Data
2.0M+ verified records, daily pricing refreshes, and 2+ years of historical depth across Lidl’s discount-grocery network — starting at $179.