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  • SHEIN Web Scraping Case Study for KSA

Tracking SHEIN Product Data for Saudi Arabia

How Actowiz Solutions built a compliant Python web scraper for SHEIN to track prices, discounts, stock, and delivery to Saudi Arabia (Jeddah) in near real time.

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Navratri Mega Sale Price Tracking

About the Client

Location: Jeddah, Saudi Arabia

Goal: Build a Python-based web scraping pipeline to monitor SHEIN product prices, discounts, availability, and delivery timelines to KSA—optimized for category-wise insights and local demand.

SHEIN's fast-moving catalog and frequent price changes make manual tracking impractical. The client wanted a reliable, compliant, and repeatable data pipeline that exports clean datasets (CSV/JSON) and powers dashboards for daily decisions—like pricing, promotion timing, and inventory planning for local resale and marketplace arbitrage.

Actowiz Solutions designed and delivered a complete solution: discovery, compliant extraction, data validation, and business-ready outputs.

Objectives

Category Coverage: Track Women, Men, Kids, Accessories, and Home categories for KSA availability.

SKU-Level Fields: Collect product title, brand (if present), category, sub-category, price, discount %, ratings, reviews, stock signal, size availability, and estimated delivery days to Jeddah.

Export & Delivery: CSV and JSON exports with clear schemas; API-ready feeds on request.

Compliance: Respect site terms, polite rate limits, and regional regulations; avoid login-only content or personal data.

Analytics: Aggregate metrics by category/brand; trend analysis for price and delivery; daily and weekly views.

Data Points Collected

Key Challenges-01

Core: Product Name, Category, Sub-Category, Product URL, Image URL, SKU/ID

Pricing: Current Price, Original Price, Discount %

Availability: In-stock flag, size options in stock

Experience Signals: Rating, Review Count

Logistics (KSA): Estimated delivery days to Jeddah (when shown), shipping tags (express/standard)

Timestamps: First seen, last seen, crawl batch id

Why this matters: Together, these fields power price-elasticity checks, promo impact, delivery reliability, and stockout risk—the four levers that matter most in fast-fashion e-commerce.

High-Level Architecture (Python)

Catalog Discovery:

  • Start with category and sub-category landing pages.
  • Capture pagination & sorting patterns (best sellers / new in / price).
  • Extract product cards (name, price, product URL, promo badges).

Detail Enrichment:

  • Visit product pages in polite bursts.
  • Parse price/discount blocks, ratings, size availability, and delivery estimates to Saudi Arabia (when selectable).
  • Normalize currency to USD/SAR for analysis.

Validation & Normalization:

  • Standardize sizes (EU/US/UK), prices to numeric, and discounts to 0–100.
  • Apply category & sub-category taxonomy.

Storage & Export:

  • Write clean tables to CSV & JSON; optional push to a database (Postgres/Mongo) for BI.
  • Maintain change logs to track price and stock deltas over time.

Compliance Controls:

  • Respect robots directives where applicable.
  • Throttle requests, rotate user agents, and avoid scraping login-protected content.
  • No PII collection; use only public pages for market research.

Actowiz Solutions builds compliant scrapers. We never advise bypassing protections, scraping private content, or violating a site's terms.

Pilot Chart

The-Client

I've prepared a sample pilot dataset to illustrate the outputs your team can expect (mocked but realistic aggregates). You can preview and download it:

The dataset includes: Category, SKUs, Avg Price (USD), Avg Discount %, In-Stock %, and Avg Delivery Days to KSA (Jeddah). It's designed to plug straight into Sheets, Excel, or BI.

I also displayed the interactive table to you in the workspace so you can scan it quickly.

How to use the chart

Bars = SKU volume by category. If Women >> Men, you prioritize women's sub-categories for deeper tracking (e.g., dresses, abayas, tops).

Use SKU share + Avg Discount % to schedule promotion alerts—categories with both high volume and steep discounts deserve priority in your ads and listings.

Avg Delivery Days informs promise dates for KSA marketplaces (avoid categories with volatile delivery windows during peak weeks).

Infographic

The-Client

Sample Records (anonymized schema)

Product Name Category Sub-Category Price (USD) Original (USD) Discount % Rating Reviews Sizes In Stock Est. Delivery to Jeddah
Floral V-Neck Maxi Dress Women Dresses 16.00 28.00 42.9 4.6 1,280 S, M, L 7–9 days
Oversized Cotton Tee Men Tops 11.50 14.50 20.7 4.4 430 M, L, XL 8–10 days
Kids Printed Pajama Set Kids Sleepwear 9.20 12.50 26.4 4.7 620 100–140 cm 8–9 days
Pearl Hair Clip Set Accessories Hair 3.10 3.90 20.5 4.5 220 One Size 6–8 days
Boho Cushion Cover Home Decor 6.80 8.40 19.0 4.3 150 45×45 cm 9–11 days

Business read: repeat buyers cluster around sub-categories; combine discount + delivery reliability to decide which SKUs to feature on local listings.

Findings from the Pilot (illustrative)

SKU Mix: Women's fashion dominates in volume (≥45% of total SKUs tracked), followed by Men (20–25%).

Discounts: Kids shows the highest average discount (≈30%+), which drives seasonal lift.

Availability: Accessories maintain >95% in-stock rates; excellent for conversion campaigns with low returns.

Delivery: Women & Kids stabilize around 7–9 days to Jeddah; Home is more variable (9–11 days).

Promo Windows: Best outcomes during Wednesday–Friday pushes in KSA; discount-rich sub-categories convert better with free-shipping badges.

These insights are typical for fast fashion; your exact results will depend on the categories and weeks monitored.

What We Built for the Client (Jeddah, KSA)

Python Scraper & Scheduler

  • Modular, category-first design with pluggable parsers.
  • Polite throttling and back-off to avoid stressing the site.
  • Daily and intra-day schedules during campaign periods.

Validation Layer

  • Price math guardrails (discount% = (orig − current)/orig).
  • Size normalization and stock parsing by option.
  • Duplicate URL/ID prevention; error logs for QA.

Exports & Integrations

  • CSV & JSON drops to S3/Drive; optional webhook/API.
  • Power BI workbook for category and brand dashboards.
  • Rolling change logs for price and availability deltas.

KSA-Focused Analytics

  • Delivery estimates parsed where visible for Saudi Arabia.
  • SAR/USD conversion for finance teams.
  • Weekly "Top Movers" report: biggest price cuts, stockouts, and new-in spikes.

Compliance & Risk Controls

  • Respect site policies and public-page boundaries; no bypassing restrictions.
  • Rate limiting and crawl windows to be a good web citizen.
  • No PII, no account/session scraping.
  • Legal review for local/regional norms (KSA).
  • Data use restricted to competitive research and internal decisioning.

Actowiz Solutions builds compliant data pipelines. If a website's terms disallow automated access, we advise clients on alternative, lawful data sources or partnerships.

Impact

Time saved: >90% vs manual checks.

Price intelligence: Identified high-discount windows in Kids & Women that lifted conversion in KSA marketplaces.

Delivery promises: Calibrated SLA wording on listings; fewer customer complaints.

Campaign ROI: Better ad timing (Wednesday–Friday) with discount-heavy SKUs increased CTR and reduced wasted spend.

What's Next

Brand-level lenses: Where SHEIN exposes brand/collection tags, segment at brand level to see which lines truly move.

Trend tracking: Week-over-week price & delivery trend lines for each sub-category.

Bundle insights: Detect "buy 2, save more" promos; watch cross-sell blocks to plan bundles for KSA marketplaces.

Alerting: Slack/Email alerts for price drops >15% or sudden stockouts in top 200 SKUs.

Why Actowiz Solutions

Retail scraping experts: Fashion, beauty, home, and marketplaces across regions.

KSA experience: Country-specific datasets and delivery parsing tuned for Saudi Arabia.

Clean outputs: Analyst-friendly CSV/JSON; BI-ready schemas; change logs built-in.

Ethical approach: Compliant methods, clear scopes, and defensible data practices.

Call to Action

Need SHEIN price and availability tracking for Saudi Arabia—or similar datasets for fashion marketplaces?
Contact Us Today!

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Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

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“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

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Real Estate

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Real-time RERA insights for 20+ states

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“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

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competitive benchmarking

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“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

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Inventory Decisions

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“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

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3x Faster

improvement in operational efficiency

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“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

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“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

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Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

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Our Data Drives Impact - Real Client Stories

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"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

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US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

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