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Discover how Actowiz Solutions automated daily product and pricing data scraping from Leaf Trade to support pharmaceutical B2B market intelligence.
In the highly regulated and rapidly evolving pharmaceutical industry, access to timely, accurate product and pricing data is critical for B2B suppliers and buyers. Actowiz Solutions partnered with a leading pharmaceutical distributor to automate daily web scraping of Leaf Trade—a specialized B2B e-commerce platform for licensed cannabis and pharmaceutical product trading. The solution delivered real-time insights, optimized procurement workflows, and enabled dynamic price benchmarking.
The client operates a multi-state pharmaceutical distribution network, managing licensed cannabis and wellness product inventory across 10+ states in the U.S. They needed to continuously monitor partner vendors on Leaf Trade to:
The client lacked an in-house scraping mechanism and needed a reliable partner to build, maintain, and scale daily extraction across hundreds of product listings.
Leaf Trade uses React-based dynamic content loading, complicating conventional scraping.
Required high-frequency scraping (daily or on-demand) with 100% accuracy for compliance and forecasting.
The client needed very specific fields, including Batch Numbers and Order Status, to be parsed and normalized.
Some information was split across product, order, and invoice pages, requiring intelligent data stitching.
Actowiz Solutions deployed a tailored pharmaceutical e-commerce data scraping solution with a focus on:
| Field | Example Value |
|---|---|
| Product Name | "CBD Pain Relief Gel - 250mg" |
| Product Batch Number | "BTCH0925AZ-21" |
| Product Category | "Topicals > Pain Relief" |
| Product Invoice Number | "INV-78245" |
| Order Status | "Fulfilled" |
| Quantity/Units | "120 units" |
| Pricing | "$19.99 per unit" |
| Metric | Before Automation | After Actowiz Solution |
|---|---|---|
| Data Update Frequency | Weekly (manual) | Daily (automated) |
| Product Coverage | ~150 SKUs | 600+ SKUs |
| Batch Accuracy | ~70% | 99.1% |
| Order Validation Time | 2–3 days | < 6 hours |
| Procurement Cycle Improvement | — | 22% faster |
“With Actowiz Solutions, we eliminated blind spots in vendor pricing and inventory updates. Their scraping setup was robust, compliant, and fast.”
— Head of Procurement, U.S.-based Pharmaceutical Distributor
The client could now compare pricing across vendors and batches daily, optimizing procurement margins.
By knowing when inventory dropped below thresholds, reordering was initiated instantly using scraped order statuses.
Actowiz fed data into the client's BI tools, allowing dynamic dashboards on:
Saved over 80 hours per month of manual data collection, allowing analysts to focus on insights instead of data wrangling.
Actowiz is now working with the client to expand similar scraping into:
Custom modules are being added to track expiration dates, lab test results, and potency per unit.
This case study highlights how Actowiz Solutions enabled a pharmaceutical distributor to automate data collection on Leaf Trade—a critical B2B marketplace. With daily data extraction, structured delivery, and seamless integration into their internal analytics tools, the client now has full visibility into vendor offerings, pricing dynamics, and order statuses.
If your business requires precision scraping of regulated e-commerce portals, Actowiz Solutions delivers real-time insights at scale.