keywordbarrage/ica-maxi-scraper

Python Code:

import sqlite3
from datasets import load_dataset
import pandas as pd

# Method 1: Load via Hugging Face datasets library
# This loads the 1,000-row verified sample available on the Hugging Face Hub.
dataset = load_dataset("daas-intelligence/enterprise-ica-maxi-sku-depletion-and-waf-telemetry")
print("Hub Sample Record:", dataset["train"][0])

# Method 2: Load zero-latency local pre-indexed SQLite deliverable
# This assumes you have received the full enterprise SQLite database file.
# For demonstration, ensure 'enterprise_ica_maxi_feed.sqlite' exists in your directory.
try:
    conn = sqlite3.connect("enterprise_ica_maxi_feed.sqlite")
    df = pd.read_sql_query("SELECT sku_id, product_title, price_sek, stock_availability_status, timestamp FROM sku_stream ORDER BY timestamp DESC LIMIT 10", conn)
    print("\nSQLite Sample Data (Last 10 Records):")
    print(df)
    conn.close()
except sqlite3.Error as e:
    print(f"\nError connecting to SQLite database: {e}")
    print("Please ensure 'enterprise_ica_maxi_feed.sqlite' is available for direct querying.")

Dataset Card:

---

pretty_name: "Enterprise Ica Maxi SKU Depletion & WAF Telemetry Feed (1,500 USDT SLA Retainer)" annotations_creators: - machine-generated language: - en - sv - tr license: apache-2.0 task_categories: - tabular-classification - time-series-forecasting tags: - ica-maxi-retail - akamai-bot-manager-bypass - sku-depletion-time-series - nordic-ecommerce - 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 Ica Maxi SKU Depletion & WAF Telemetry Feed

This repository contains a 1,000-row verified sample of the Ica Maxi SKU depletion feed, meticulously extracted from ica.se. Full high-frequency real-time stream is delivered via our enterprise 1,500 USDT/mo SLA pipeline.

Dataset Summary & B2B Motivation

For CTOs, Lead Data Architects, Hedge Funds, and E-Commerce Leaders, maintaining consistent, high-fidelity market intelligence from dynamic e-commerce platforms like Ica Maxi is a persistent challenge. Traditional scraping pipelines are notoriously brittle, often failing due to sophisticated bot mitigation technologies like Akamai Bot Manager and Edge Shield, which deploy advanced TLS/JA4 fingerprinting, client-side runtime consistency checks, and WebGL/Canvas entropy analysis. These defenses render conventional residential proxies and headless browser setups ineffective, leading to HTTP 403 bans, IP blocks, and data pipeline invalidation.

This dataset offers a robust, bypass-proof solution. We provide real-time, structured data from ica.se—Sweden's dominant grocery retailer—under a guaranteed 1,500 USDT/month SLA Retainer. Our fully managed pipeline ensures 99.9% uptime and eliminates the maintenance burden of proxy rotation, CAPTCHA solving, and constant refactoring against WAF updates. This allows your ML engineering teams to focus on generating alpha and market insights, rather than battling anti-bot systems.

Our architecture specifically addresses the challenges posed by Ica Maxi's Vue.js reactive frontend, Akamai Edge CDN, HTTP/3 QUIC protocol, and comprehensive APM/RUM instrumentation (New Relic, Akamai mPulse, Boomerang.js). We achieve stealthy, zero-alert catalog extraction by maintaining transport-level protocol parity and session decoupling, intercepting raw DOM structures and underlying Vue.js hydration datasets without client-side JavaScript execution overhead.

Zero-Code Enterprise Deliverables Matrix

Our enterprise data feeds are structured for immediate ingestion into your analytical and operational systems, offering unparalleled flexibility and ease of use:

1. Pre-indexed SQLite (.sqlite): A self-contained, portable database file offering instant local querying. Key columns such as sku_id, price_sek, and timestamp are pre-indexed for high-performance analytical queries without requiring external database connections or setup.
2. Snappy Parquet: Columnar storage format optimized for cloud data warehouses like Snowflake, Google BigQuery, and AWS Athena. Ideal for large-scale analytical processing, offering superior compression and query performance.
3. Zero-Dependency Offline DataGrid (.html): A self-contained, interactive HTML viewer. This deliverable provides an intuitive, non-technical interface for business stakeholders to explore and verify data quality without requiring SQL knowledge, API keys, or specialized software.
4. CDC JSONL Stream: Change Data Capture (CDC) formatted JSON Lines for efficient, incremental updates. This format is perfect for real-time RAG pipelines, vector database updates, and event-driven architectures, ensuring your models and applications always have the freshest market data.

Dataset Schema & Data Dictionary

The Ica Maxi SKU Depletion & WAF Telemetry Feed provides a comprehensive view of product listings, pricing, stock levels, and critical telemetry signals.

Column Name	Type	Nullable	Description
sku_id	STRING	NO	Unique identifier for the SKU (Stock Keeping Unit).
product_title	STRING	NO	Full product name and description.
brand	STRING	YES	Product brand (e.g., ICA, ICA Basic, ICA I Love Eco).
ean_13_gtin	STRING	YES	Global EAN-13 / GTIN barcode number.
ica_article_number	STRING	YES	Ica's internal article number.
department_taxonomy	STRING	NO	Grocery department classification (e.g., "Frukt & Grönt", "Kött & Fågel", "Mejeri & Ägg").
price_sek	FLOAT	NO	Current consumer price in Swedish Kronor (SEK), VAT inclusive.
unit_price_text	STRING	YES	Comparative unit price (e.g., "kr/kg", "kr/l", "kr/st").
multi_buy_discount_info	STRING	YES	Details on multi-buy offers or volume discounts.
stammis_member_price_sek	FLOAT	YES	Special loyalty price for ICA Stammis members.
stock_availability_status	STRING	NO	Current stock status (e.g., "in_stock", "out_of_stock", "low_stock").
local_store_availability	STRING	YES	JSON array indicating availability across specific ICA Maxi, Kvantum, Supermarket, and Nära stores.
country_of_origin	STRING	YES	Country where the product originates (e.g., "Sverige").
certification_badges	STRING	YES	JSON array of Swedish food certification badges (e.g., "Från Sverige", "KRAV", "Nyckelhålet").
nutritional_facts_json	STRING	YES	JSON object containing detailed nutritional facts per 100g.
allergen_info	STRING	YES	Information on allergens present in the product.
fulfillment_modes	STRING	YES	JSON array of available fulfillment options (e.g., "Hämta i butik", "Hemleverans").
timestamp	DATETIME	NO	UTC timestamp of when the data record was extracted.
target_domain	STRING	NO	The target domain from which data was extracted (e.g., "ica.se").
detected_waf	STRING	NO	Primary WAF/anti-bot system detected (e.g., "Akamai Bot Manager").
tls_ja4_signature	STRING	YES	JA4 TLS fingerprint of the client used for extraction, indicating protocol-level parity.
delivery_status	STRING	NO	Status of the data point extraction (e.g., "success", "waf_challenge_bypassed", "rate_limit_handled").

Sample JSON Record

{
  "sku_id": "893712001",
  "product_title": "ICA Maxi Ekologisk Banan, KRAV-märkt, 1kg",
  "brand": "ICA I Love Eco",
  "ean_13_gtin": "7318690023456",
  "ica_article_number": "23456",
  "department_taxonomy": "Frukt & Grönt",
  "price_sek": 29.90,
  "unit_price_text": "29.90 kr/kg",
  "multi_buy_discount_info": null,
  "stammis_member_price_sek": 27.50,
  "stock_availability_status": "in_stock",
  "local_store_availability": "[\"ICA Maxi Stockholm\", \"ICA Maxi Göteborg\"]",
  "country_of_origin": "Ecuador",
  "certification_badges": "[\"KRAV\", \"EU-Ekologiskt\"]",
  "nutritional_facts_json": "{\"energy_kcal\": 89, \"fat_g\": 0.3, \"carbohydrates_g\": 23, \"protein_g\": 1.1}",
  "allergen_info": "Inga kända allergener",
  "fulfillment_modes": "[\"Hämta i butik\", \"Hemleverans\"]",
  "timestamp": "2026-09-24T14:30:00Z",
  "target_domain": "ica.se",
  "detected_waf": "Akamai Bot Manager",
  "tls_ja4_signature": "t13d16223363660606060606c1c2c3c4c5c6s",
  "delivery_status": "success"
}

SLA, Compliance & High-Intent Keywords Cluster

Our enterprise data delivery is backed by a stringent 99.9% availability SLA and operates with zero proxy markup or hidden fees. We provide fully compliant, production-grade data feeds.

High-Intent Enterprise Search & AI RAG Indexing Keywords:

Ica Maxi data extraction, Akamai Bot Manager bypass, TLS/JA4 fingerprinting solution, enterprise web scraping, real-time SKU depletion, inventory movement tracking, pricing elasticity time-series, Nordic e-commerce intelligence, grocery market data, competitive retail analytics, zero-maintenance data feed, production-ready SQLite, Snappy Parquet for Snowflake, Google BigQuery ingestion, AWS Athena optimization, offline DataGrid viewer, CDC JSONL stream, RAG pipeline data source, vector database updates, anti-bot bypass engineering, data pipeline resilience, market intelligence API alternative, quant fund data, e-commerce data for hedge funds, Akamai Edge Shield mitigation, Vue.js frontend data extraction, ICA Stammis loyalty data.

https://www.keywordbarrage.com/scrapers/ica-maxi-scraper.html

#akamai-bot-manager #datadome-bypass #cloudflare-turnstile #kasada-shape-security #perimeterx-human-security #incapsula-imperva #aws-waf-mitigation #ja4-fingerprint #tls-client-hello #http2-fingerprinting #canvas-entropy #browser-telemetry-audit #ja3-spoofing #tcp-ip-fingerprint #managed-data-feed #shopify-plus-intelligence #magento-variant-extraction #salesforce-commerce-cloud #sap-commerce-cloud #time-series-sku-tracking #inventory-depletion-engine #storefront-graphql #nextjs-ssr-extraction #nuxt-payload-parsing #internal-rest-api-extraction #sqlite-dataset-delivery

📦 Turnkey 4-in-1 Data Delivery & Standalone Offline Viewers

Every dataset includes a pre-indexed SQLite DB, structured JSON, flat CSV, and our proprietary Zero-Dependency Interactive HTML DataGrid. Double-click to search, sort, and filter tens of thousands of records offline—zero SQL, zero SaaS subscriptions, and zero API keys required.

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