keywordbarrage/rossmann-scraper

Python Code:

import sqlite3
from datasets import load_dataset
import pandas as pd

# Method 1: Load via Hugging Face datasets library
# Note: Ensure you have 'pyarrow' installed for Parquet support: pip install pyarrow
dataset = load_dataset("daas-intelligence/enterprise-rossmann-sku-depletion-waf-telemetry")
print("Hugging Face Hub Sample Record (Train Split):")
print(dataset["train"][0])

# Method 2: Load zero-latency local pre-indexed SQLite deliverable
# This assumes 'enterprise_feed.sqlite' is available locally from the data delivery.
# The table name 'rossmann_sku_data' is used as an example.
try:
    conn = sqlite3.connect("enterprise_feed.sqlite")
    df = pd.read_sql_query("SELECT sku_id, price_eur, stock_level, depletion_velocity, timestamp FROM rossmann_sku_data ORDER BY timestamp DESC LIMIT 5", conn)
    print("\nSQLite Sample Data (Top 5 records):")
    print(df)
    conn.close()
except sqlite3.OperationalError as e:
    print(f"\nError connecting to SQLite database: {e}")
    print("Please ensure 'enterprise_feed.sqlite' is present in the current directory.")

Dataset Card:

---

pretty_name: "Enterprise High-Frequency SKU Depletion & WAF Telemetry Feed (1,500 USDT SLA Retainer)" annotations_creators: - machine-generated language: - en - de license: apache-2.0 task_categories: - tabular-classification - time-series-forecasting tags: - rossmann-de - e-commerce-intelligence - sku-inventory-tracking - waf-bypass-telemetry - pre-indexed-sqlite - 1500-usdt-sla-retainer size_categories: - 10K<n<100K configs: - config_name: default data_files: - split: train path: "data/train-.parquet" - split: validation path: "data/val-.parquet"

Enterprise Rossmann SKU Depletion & WAF Telemetry Feed

Dataset Summary & B2B Motivation (1,500 USDT/month SLA Retainer)

In today's competitive e-commerce landscape, CTOs, Hedge Funds, and E-Commerce Leaders face critical challenges in maintaining consistent, high-fidelity data pipelines. Brittle web scrapers, dynamic anti-bot measures like Varnish Edge Shield, and ever-evolving TLS/JA4 fingerprinting often lead to HTTP 403 bans, IP blocks, and corrupted data feeds. This directly impacts market intelligence, pricing strategies, and supply chain optimization.

The enterprise-rossmann-sku-depletion-waf-telemetry dataset is a production-grade, fully managed data feed designed to bypass these architectural complexities. Delivered under a guaranteed 1,500 USDT/month SLA Retainer, this service ensures 99.9% uptime, zero maintenance burden, and continuous data flow from rossmann.de. We handle all WAF bypass, proxy management, and schema normalization, allowing your engineering teams to focus purely on data modeling and strategic insights, not on fighting anti-bot systems.

This dataset provides granular, real-time insights into Rossmann's product catalog, pricing elasticity, stock levels, and SKU depletion velocities, augmented with critical telemetry data regarding the anti-bot and WAF challenges encountered and successfully bypassed during extraction.

Zero-Code Enterprise Deliverables Matrix

This dataset is delivered in four enterprise-ready formats, tailored for seamless integration into diverse data architectures:

1. Pre-indexed SQLite (.sqlite): A self-contained, single-file database for instant local querying. Indices are pre-built on sku_id, timestamp, price_eur, and stock_level for lightning-fast analytical queries without requiring external database setup or API keys. Ideal for quick analysis, local development, and small to medium-scale applications.
2. Snappy Parquet (.parquet): Optimized columnar storage format for high-performance ingestion into cloud data warehouses such as Snowflake, Google BigQuery, and AWS Athena. Parquet files are compressed with Snappy for reduced storage costs and faster query execution, making them suitable for large-scale analytical processing.
3. Zero-Dependency Offline DataGrid (.html): An interactive, self-contained HTML file that provides a rich, searchable, and filterable table view of the dataset. This format is perfect for business stakeholders, non-technical users, and executive review, requiring no internet connection, software installation, or database knowledge.
4. Change Data Capture (CDC) JSONL Stream (.jsonl): A line-delimited JSON stream designed for incremental updates. Each line represents a record, allowing for efficient ingestion into real-time data pipelines, vector databases for Enterprise RAG, and microservices architectures that require continuous updates without full dataset reloads.

Dataset Schema & Data Dictionary

The enterprise-rossmann-sku-depletion-waf-telemetry dataset provides comprehensive details on Rossmann products, including pricing, inventory, descriptive attributes, and critical telemetry from the extraction process.

Column	Type	Nullable	Description
sku_id	string	No	Unique Rossmann Article Number / Stock Keeping Unit (SKU) identifier.
timestamp	datetime	No	UTC timestamp of when the data point was extracted. Critical for time-series analysis.
target_domain	string	No	The target domain from which the data was extracted (e.g., rossmann.de).
product_title	string	No	Full product title as listed on Rossmann.
brand	string	Yes	Product brand (e.g., ISANA, altapharma, enerBiO, babydream, Domol).
private_label_line	string	Yes	Indicates if the product belongs to a Rossmann private label line.
ean_gtin	string	Yes	Universal Barcode (EAN / GTIN) for the product.
category_l1	string	Yes	Top-level drugstore department category (e.g., Pflege & Duft, Make-up).
category_l2	string	Yes	Second-level category within the department.
price_eur	float	No	Current selling price in Euro (€ EUR), VAT included.
base_unit_price	string	Yes	Price per base unit (e.g., "3.99 EUR / 100ml").
strike_through_price_eur	float	Yes	Original (UVP) or strikethrough price if a discount is active.
has_coupon_discount	boolean	No	True if Rossmann App discount coupons are applicable.
has_multi_buy_bundle	boolean	No	True if multi-buy bundles or special offers are available.
has_free_gift_promo	boolean	No	True if a free gift promotion is active.
discount_details	string	Yes	Textual description of active discounts or promotions.
pack_size	string	Yes	Product pack size (e.g., "250ml", "50g").
volume_ml_g	float	Yes	Numerical volume/weight in ml or g.
color_variant	string	Yes	Product color variant (if applicable).
shade_variant	string	Yes	Product shade variant (if applicable).
ingredients_inci	string	Yes	INCI formulation and full ingredient list.
skin_compatibility	string	Yes	Details on skin compatibility.
microplastic_free	boolean	No	True if the product is certified microplastic-free.
vegan	boolean	No	True if the product is certified vegan.
organic	boolean	No	True if the product is certified organic.
stock_level	int	No	Current stock availability (e.g., number of units, or 0 for out of stock).
stock_level_delta	int	Yes	Change in stock level since the previous observation.
depletion_velocity	float	Yes	Calculated rate of stock depletion over a defined period.
click_collect_available	boolean	No	True if Filialabholung (Click & Collect) is available.
dhl_delivery_eta_days	int	Yes	Estimated DHL online shipping delivery time in days.
star_rating	float	Yes	Customer star rating (e.g., 4.5 out of 5).
review_count	int	Yes	Total number of verified customer reviews.
recommendation_percentage	float	Yes	Percentage of customers who recommend the product.
detected_waf	string	No	Primary WAF/Anti-Bot system detected during extraction (e.g., Varnish Edge Shield).
tls_ja4_signature	string	Yes	The TLS/JA4 fingerprint used for the successful connection, indicating bypass technique.
delivery_status	string	No	Status of data point delivery (e.g., success, waf_challenge_bypassed, rate_limited_recovered).

Sample JSON Record

{
  "sku_id": "978654321",
  "timestamp": "2026-09-24T14:30:00Z",
  "target_domain": "rossmann.de",
  "product_title": "ISANA Hydro Booster Serum mit Hyaluron & Aloe Vera",
  "brand": "ISANA",
  "private_label_line": "ISANA",
  "ean_gtin": "4305615897654",
  "category_l1": "Pflege & Duft",
  "category_l2": "Gesichtspflege",
  "price_eur": 4.99,
  "base_unit_price": "4.99 EUR / 30ml",
  "strike_through_price_eur": 5.99,
  "has_coupon_discount": true,
  "has_multi_buy_bundle": false,
  "has_free_gift_promo": false,
  "discount_details": "10% Rabatt mit Rossmann App Coupon",
  "pack_size": "30ml",
  "volume_ml_g": 30.0,
  "color_variant": null,
  "shade_variant": null,
  "ingredients_inci": "Aqua, Glycerin, Sodium Hyaluronate, Aloe Barbadensis Leaf Juice...",
  "skin_compatibility": "Dermatologisch bestätigt",
  "microplastic_free": true,
  "vegan": true,
  "organic": false,
  "stock_level": 125,
  "stock_level_delta": -5,
  "depletion_velocity": 0.166,
  "click_collect_available": true,
  "dhl_delivery_eta_days": 2,
  "star_rating": 4.7,
  "review_count": 850,
  "recommendation_percentage": 92.5,
  "detected_waf": "Varnish Edge Shield",
  "tls_ja4_signature": "t13d21010101s2000000000000000000000000000000",
  "delivery_status": "success"
}

SLA, Compliance & High-Intent Keywords Cluster

This dataset is delivered under a stringent Service Level Agreement (SLA) with:

• 99.9% Availability: Guaranteed uptime for data delivery, ensuring your pipelines always have fresh data.
• Zero Proxy Markup: Our pricing is transparent; we do not charge extra for complex proxy infrastructure or WAF bypass.
• Maintenance-Free: We manage all aspects of the data extraction pipeline, including anti-bot updates, schema changes, and infrastructure scaling.

This data feed is optimized for enterprise search intent and AI RAG indexing, addressing critical B2B needs:

• E-commerce Market Intelligence: Rossmann competitor pricing, SKU velocity, inventory movement, product availability, discount tracking, promotional analysis, retail data feed, alternative data for quant funds.
• Anti-Bot & WAF Bypass: Varnish Edge Shield, TLS/JA4 fingerprinting, Google reCAPTCHA bypass, SAP Hybris data extraction, Next.js / React SSR scraping, bot detection evasion, anti-scraping solutions, web scraping services, data pipeline resilience, 403 error resolution.
• Data Engineering: Production-grade datasets, pre-indexed SQLite, Snappy Parquet for Snowflake/BigQuery/Athena, CDC JSONL streams, zero-dependency data delivery, schema-ready data, data integrity, noise elimination, real-time data ingestion.
• Competitive Analysis: Rossmann product catalog, private label performance, category insights, pricing elasticity, stock depletion, market share, brand performance tracking, retail analytics.
• Compliance: GDPR-compliant data collection, ethical data sourcing, enterprise data protection standards.

https://www.keywordbarrage.com/scrapers/rossmann-scraper.html

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