Core services
Enterprise Data Extraction

Scalable web, app and AI-powered collection across 40+ countries.

All 58 services →
New 2026
AI Training Data

Corpus building with provenance and opt-out compliance.

Learn more →
Free pilot
24-hour sample

We run collection on your own sources before you commit.

Get a sample →
58Services
40+Countries
DEVELOPER

Ready-Made Scrapers

Pre-built for top platforms. Self-serve, no setup.

View All →
TRY FREE

API Playground

Test endpoints instantly. No credit card.

Start Free →
28Tools
2SDKs
icons Delivery & SDKs
Streaming Crawl API Scheduler Realtime Alerts Webhook Delivery 🐍 Python SDK 💚 Node.js SDK
Need it managed instead?

Fixed monthly retainer, named engineer, no per-request metering.

Managed Data API →

A health & wellness e-commerce client needing the full Emerson Ecologics practitioner catalog — photo, title, manufacturer, vendor item code, retail price, and description — structured for import into a Magento store.

Industry
Health & Wellness • Nutraceuticals E-commerce
Region
United States
Target Platform
Magento
16K–19K
Products in Scope
6
Fields per Product
Magento
Import-Ready Excel
Shop-By-Company
Catalog Traversal

Client Overview

The client operates in the health and wellness e-commerce space and was building a Magento storefront that required the full practitioner-grade product catalog from Emerson Ecologics — one of the established distributors of professional supplements and wellness products in the United States.

They needed six specific fields per product — photo, title, manufacturer, vendor item code, retail price, and description — for an estimated 16,000 to 19,000 products, structured into a single Excel spreadsheet that could be imported cleanly into Magento without manual reformatting.

The Challenge

  • Catalog scale. With 16K–19K products across a large roster of manufacturers, full coverage demanded a systematic traversal strategy rather than ad hoc collection.
  • Shop-By-Company navigation. The catalog is organised by company/manufacturer (ShopByCompany), so extraction had to walk the full company index, then each company's product listings, then every product detail page.
  • Image capture. Each product's photo URL had to be captured reliably for Magento's image import, handling products with missing or placeholder images consistently.
  • Field precision. Retail price, vendor item code, and manufacturer had to be captured exactly — correctly typed and free of stray markup — so the Magento import would not fail or mis-map.
  • Magento-ready schema. Output columns had to align to Magento's product-import expectations (SKU, name, price, description, image, manufacturer attribute) so the file imports directly.
  • Description cleanliness. Product descriptions had to be captured as clean text/allowed markup — no broken HTML, entities, or formatting artefacts that would corrupt the storefront.

The Solution by Actowiz Solutions

Actowiz built a structured, three-stage extraction pipeline tailored to the Shop-By-Company catalog architecture, feeding a Magento-ready Excel exporter.

Extraction Architecture
  • Stage 1 — Company index traversal. The pipeline walks the full ShopByCompany index to enumerate every manufacturer/company in the catalog.
  • Stage 2 — Product listing crawl. For each company, all product listing pages are paginated and collected, building the complete product URL set across the catalog.
  • Stage 3 — Product detail extraction. Each product page yields the six target fields — photo, title, manufacturer, vendor item code, retail price, and description — captured and cleaned per product.
Data Handling
  • Image URL capture. Primary product photo URL captured for Magento image import; missing images handled consistently (blank, not broken).
  • Cleaning & precision layer. Price normalised to a numeric format; item code and manufacturer trimmed; descriptions stripped of junk markup and encoded as UTF-8.
  • Deduplication. Duplicate products (e.g., listed under multiple paths) removed by vendor item code / product identity.
  • Magento-ready Excel exporter. Records written to a single .xlsx with Magento-aligned columns, standardised headers, and consistent formatting for direct import.
Output Fields
Field Magento Mapping Notes
Photo base_image / image URL Primary product image URL
Title name Product title as listed
Manufacturer manufacturer (attribute) Company/brand from ShopByCompany
Vendor Item Code sku Unique per-product identifier
Retail Price price Numeric, normalised
Description description Clean text / allowed markup, UTF-8

Implementation Workflow

Step Phase Description
1 Scope & Schema Confirm the six fields and lock the Magento import column mapping and Excel schema.
2 Company Index Traversal Enumerate every company in the ShopByCompany catalog.
3 Listing & PDP Crawl Paginate each company's listings and collect all product detail pages.
4 Field Extraction & Cleaning Capture the six fields; normalise price, clean descriptions, capture image URLs.
5 QA & Validation Validate completeness, price format, SKU uniqueness, and Magento import compatibility.
6 Delivery Deliver a single Magento-ready .xlsx covering the full 16K–19K catalog.
Sample Output (Illustrative)
name sku manufacturer price image
Vitamin D3 5000 IU (120 caps) DES-D3-5000 Designs for Health 32.50 https://…/d3-5000.jpg
Magnesium Glycinate (240 caps) PURE-MAG-240 Pure Encapsulations 48.20 https://…/mag-gly.jpg
Omega-3 Fish Oil (60 sg) NOR-OM3-60 Nordic Naturals 29.95 https://…/omega3.jpg

Each row also carries a cleaned description column (omitted here for width). Prices are numeric, SKUs unique, and image URLs ready for Magento's media import.

Quality Assurance
Validation Check Rule Applied
Mandatory field completeness Title, SKU, manufacturer, and price always populated
Price validation Retail price stored as a clean numeric value
SKU uniqueness Vendor item code unique per product; duplicates removed
Image handling Valid image URL captured; blank (not broken) when unavailable
Description cleaning No broken HTML/entities; UTF-8 encoded
Schema conformance Columns match the agreed Magento import mapping exactly

Results & Business Impact

  • Complete catalog, ready to sell. The full 16K–19K Emerson Ecologics catalog captured in one structured file — a launch-ready product base for the Magento store.
  • Direct Magento import. Magento-aligned columns and clean formatting let the client import without manual reformatting or field remapping.
  • Trustworthy pricing & SKUs. Normalised prices and unique vendor item codes prevented import errors and mis-priced listings.
  • Image-ready storefront. Captured photo URLs populated product imagery on import, avoiding a blank-catalog launch.
  • Time-to-launch compressed. Automated extraction replaced weeks of manual catalog entry across thousands of products.

Why the Client Chose Actowiz Solutions

  • Structure-aware crawling. A pipeline built around the Shop-By-Company architecture for complete, systematic coverage.
  • Platform-native output. Excel designed around Magento's import format from the start — not a generic dump.
  • Precision-first QA. Price, SKU, image, and description validation baked into the pipeline.
  • Scale handled cleanly. 16K–19K products deduplicated and delivered in one consistent file.

Project at a Glance

Metric Value
Industry Health & Wellness • Nutraceuticals E-commerce
Source Emerson Ecologics — ShopByCompany catalog
Region United States
Scope 16,000–19,000 products
Fields Photo, Title, Manufacturer, Vendor Item Code, Retail Price, Description
Traversal Company index → listings → product detail pages
Target Platform Magento
Output Format Magento-import-ready Excel (.xlsx)

Client Feedback

"We were staring at nearly twenty thousand products to enter by hand. Actowiz handed us one spreadsheet that imported into Magento cleanly — images, prices, SKUs, everything mapped. It turned a months-long data-entry project into a single import."

— E-commerce Manager, Health & Wellness Retailer

Need a product catalog structured for your platform?

Actowiz Solutions extracts large product catalogs into clean, platform-ready files — Magento, Shopify, WooCommerce, and more — with rigorous QA. Visit actowizsolutions.com to discuss your data requirement.

Social Proof That Converts

Trusted by Global Leaders Across Q-Commerce, Travel, Retail, and FoodTech

Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

4,000+ Enterprises Worldwide
50+ Countries Served
20+ Industries
Join 4,000+ companies growing with Actowiz →
Real Results from Real Clients

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

1 min
★★★★★
"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"
TG
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
2 min
★★★★★
"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."
II
Iulen Ibanez
CEO / Datacy.es
1:30
★★★★★
"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."
FC
Febbin Chacko
-Fin, Small Business Owner
icons 4.8/5 Average Rating
icons 50+ Video Testimonials
icons 92% Client Retention
icons 50+ Countries Served

Join 4,000+ Companies Growing with Actowiz

From Zomato to Expedia — see why global leaders trust us with their data.

Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

icons
7+
Years of Experience
Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
icons
4,000+
Projects Delivered
Serving startups to Fortune 500 companies across 50+ countries worldwide.
icons
200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
icons
9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
icons
270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
icons
380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
icons Product Matching icons Attribute Tagging icons Content Optimization icons Sentiment Analysis icons Prompt-Based Reporting

Connect the Dots Across
Your Retail Ecosystem

We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

icons
Analytics Services
icons
Ad Tech
icons
Price Optimization
icons
Business Consulting
icons
System Integration
icons
Market Research
Become a Partner →

Popular Datasets — Ready to Download

Browse All Datasets →
icons
Amazon
eCommerce
Free 100 rows
icons
Zillow
Real Estate
Free 100 rows
icons
DoorDash
Food Delivery
Free 100 rows
icons
Walmart
Retail
Free 100 rows
icons
Booking.com
Travel
Free 100 rows
icons
Indeed
Jobs
Free 100 rows

Latest Insights & Resources

View All Resources →
thumb
Blog

How to Overcome Competitor Price and Availability Gaps with Tyres Categories Data Collection from Lazada and Tuhu App

Tyres Categories data collection from Lazada and Tuhu App helps businesses track tyre prices, brands, availability, and assortment for market insights.

thumb
Case Study

How We Empowered a Leading Food Brand Using Scrape Ready-to-Cook Cut Veg Product Data from Blinkit TN for Smarter Product & Pricing Decisions

Track Scrape Ready-to-Cook Cut Veg Product Data from Blinkit TN to monitor prices, availability, SKUs, and trends for smarter retail insights.

thumb
Report

Brazil Car Rental Pricing Intelligence Report 2026

Brazil Car Rental Pricing Intelligence Report 2026 reveals rental price trends, market shifts, competitor rates, and opportunities for smarter pricing.

Start Where It Makes Sense for You

Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

icons
Enterprise
Book a Strategy Call
Custom solutions, dedicated support, volume pricing for large-scale needs.
icons
Growing Brand
Get Free Sample Data
Try before you buy — 500 rows of real data, delivered in 2 hours. No strings.
icons
Just Exploring
View Plans & Pricing
Transparent plans from $500/mo. Find the right fit for your budget and scale.

Request Free Sample Data

Our team will reach out within 2 hours with 500 rows of real data — no credit card required.

+1
Free 500-row sample · No credit card · Response within 2 hours